The Effect of Information Technology on Business and Marketing Intelligence Systems

The implementation of novel technologies such as social networks is altering the landscape of contemporary Small and Medium Enterprises (SMEs) including the ones located in UAE. The purpose of this research is to define the extent of technological acceptance of Facebook in business activities through the Technology Acceptance Model (TAM). To achieve this, the structural equation modeling is employed with the application of 130 surveys. Empirical evidence displays positive significance in most of the constructs such as Perceived Usefulness, Easy to Use, Intended Use, Attitude of Use and Current Use and also suggests the lack of a culture regarding the use, handling, and acceptance of Facebook as a marketing tool in most businesses consulted.

The aim of this study is to explore the contemporary digital marketing strategies and tools and the role played by these in various marketing activities or areas. The study also explores the market segmentation in the digital era to improve customer experience tools. In addition, the study determines which strategy has been suggested to be most optimized for enhancing Customer Experience. The research method comprises a Systematic Literature Review (SLR), which included choosing the key publications, data extraction and synthesis, quality assessment for the chosen publications, and assessing and presenting the results. This systematic review is important for marketing professionals as it emphasizes the significance of selecting appropriate digital marketing strategies as per marketing activities to maximize customer experience. The results of SLR identify different contemporary marketing strategies such as eWOM, emailing, affiliate marketing, search engine optimization, social media marketing, and corporate blogging. Among these strategies, Social Media Marketing is found to be most effective for the brands in their endeavor to maximize customer experience. It is because of the personalization, customization as well as an interaction which this digital strategy offers to the customers.

The purpose of this research is to analyze the effects of social media marketing on consumer perception for the people in Liverpool, UK. The descriptive research approach is used for this research. The research collected quantitative data and smart PLS analysis is done to analyze those collected data. It is found out from this research that the effect of social media marketing on consumer perception is positive and is increasing day by day because of the increasing use of the internet. The main limitation of this research was that the researcher was only able to work on the people of Liverpool. If the researcher would get more time and more financial support, the research could be done with vast information collected from a bigger sample size from other areas in the UK too. This research will help the companies to understand the power of social media platforms towards increasing consumer perception and it will also show them the ways to properly use the social media platforms to retain current customers and get new customers.

This research is done to understand the impacts of social media in managing customer relationships for the selling business organizations within the b2b business environment. In today’s world, the use of social media has increased rapidly. The selling business organizations use social media sites as their marketing tool. However, now, it is time for them to understand that social media sites can be used towards improving customer relationship performance. SEM-PLS model is used in this research to understand the effects of social media as the relationship tool. The data collected for the research shows that the use of social media has a direct positive impact on social CRM capabilities, which has a direct positive impact on customer relationship performance. The researcher has discussed the research result elaborately. In the end, proper implications, limitations, and recommendations are discussed by the researcher.

This research aims to understand the impacts of social media in managing customer relationships for the seller business organizations within the Business-to-Business (b2b) business environment. This research will help the seller organizations involved in b2b businesses to understand the full advantages of social media they can take towards achieving better customer relationship performance. Accordingly, the seller business organizations can use social media sites to improve social CRM capabilities and retaining more customers. The researcher has followed a descriptive research approach. Quantitative data were collected and used for this research. SEM-PLS model is used in this research. It can be said from the data analysis that social media has strong positive effects on building customer relationships within the b2b business environment though it is also seen that most of the organizations use social media as only their marketing tool, and they do not use it as a relationship tool. The main limitations of this research were the small sample size, limited time, and limited financial support. More time, financial support, and bigger sample size will help to perform comprehensive research in the future.

The advent of social media marketing and team support for innovation is considered simultaneously as the two main antecedents of consumer brand awareness. To support this assertion, this study explored the consequences of support by marketing team members toward innovative approaches to social media marketing. The study randomly selected 247 participants from the United Arab Emirates. Data were analyzed using multiple linear regression. Results showed that both social media marketing and team support for innovation were positively associated with consumer brand awareness in that social media marketing and team support played as catalysts reinforcing brand awareness. In addition, the team support for innovation was positively associated with social media marketing; alternatively, they complement each other towards brand awareness.

The purpose of this paper is to analyze the impact of Sharing Fake news, self-regulation, Cyber Bullying on social media fatigue during COVID-19 work technology conflict as mediator role. The current study uses quantitative with cross sectional design to examine the effect of Sharing Fake news, self-regulation, Cyber Bullying on social media fatigue during COVID-19 and suing work technology conflict as mediator role. The respondents were situation from different top sites, such as twitter, Facebook and Instagram sample of 132, and population of this study is 200 users were selected for this study, sample size is calculated through ROA soft. The dissemination of unverified information has been showcased as a significant challenge during the COVID-19 pandemic. The role of social media in this process is exemplified by its increased use during COVID-19, as, for example, a recent report shows that the use of Facebook hit record levels during the pandemic. This study revealed that potential mechanisms for counteracting fake news creating Facebook pages of real news and using this advertising to disseminate accurate information this paper will enhanced the understanding the effects of SMA, cyberbullying and self-regulation on mental health of individual through the use of social cognitive perspectives. To enhance efficacy in the role of social media in this process to reduce the gap between theory and practice, social marketers should include messages that empower recipients. Campaigns should show recommended behaviors and highlight their usefulness and effectiveness. This paper has been methodological as well as theoretical limitations, first using CLT might be regarded limiting even through it has been adopted in past studies that are based on social media. The primary concern is the cognitive load theory is still essential an instructional science theory even through it has been adopted, use widely in HCI & also shown to explain not only learning but also acquiring knowledge from new theories, articles might be more useful for conceptualizing fake news sharing.

This study examines the possibility of enhancing Customer Relationship Management through Social Media. As Social Media is a trending topic in companies’ strategies, the aim of this research is to find a possible link between the use of Social Media, and its impact on Fashion retails’ Customer Relationship Management in both UK and Germany. The use of Social Media platforms was explored by using a semi-structured survey. Significant differences were found in the usage of social media by age group and sex. The results revealed that using Social Media in marketing strategies for fashion retailors would be most effective when targeting younger demographics, offering companies the benefit of longer customer lifetime value when enhancing their Customer Relationship Management through Social Media.

Digital Marketing is the most efficient way to market a product/service in the modern era. The most crucial constituent of digital marketing is social media, and it is used by half of the world. People use it to share content in text, images, videos, and live streams. Major social media platforms are Facebook, Youtube, Instagram, Twitter, and LinkedIn. In recent times, social media platforms put regulations on using their platforms regarding sharing content related to violence-inciting, spreading nudity, sexual harassment, etc. This research has discussed these social media regulations and their effects on digital marketing by performing a questionnaire-based survey by leading digital marketing firms. Results are showing that social media regulations have positive effects on digital marketing.

This research aimed to investigate the impact of facebook advertisements on customer attentions of Jordanian female young users. Analytical descriptive approach was used. A suitable sample used which includes of (400) young female customer users. The researchers used the questionnaire as a tool for collecting primary data. The results found that there is an impact of the facebook advertisements by facebook on customer attentions of Jordanian young female users. The researchers set up a number of recommendations and the most is acquired more advertisements with different design and entertainments to influence customer’s attentions positively toward their personal products.

The aim of the study was to examine the impact of social media on purchase intention. Therefore, it focused on Jordan-based companies operating in the women clothing sector. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a random sample of (384) responses. In total, (370) responses were received including (6) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (364) responses suitable to analysis requirements that were formed a response rate of (94.80%). structural equation modeling (SEM) was conducted to test hypotheses. The results showed that social media dimensions had a positive impact on purchase intention. Moreover, the results indicated that the highest impact was for Sharing Contents. Based on the previous results, the current study recommends organizations in the clothing sector to pay attention to social media and take advantage of it in advertising and marketing for the women’s clothing sector in Jordan, due to the impact of these sites on the purchase intention of consumers, emphasizing the importance of clarifying all information for products.

This study aims to identifying the impact of digital marketing on the mental image of students at private universities in Jordan. The population of the study consisted of all the higher education students in the private Jordanian universities in (18) universities numbering (6381). The study sample was chosen randomly, and it consisted of (359) male and female students. The distribution of the questionnaire was done through an electronic link by (Google Drive) and was sent to the students with the collaboration of the deanship of students’ affairs. To conduct this study, the analytical and descriptive method was used. The results of the study showed a statistically significant effect of digital marketing on the mental image of students at private universities in Jordan. Based on the study results, the researchers recommend managers and decision makers of the private universities in Jordan to enhance their interactive advertisements on the pages of others, enhance the pricing of their educational services, and make updates on their marketing channels to achieve a positive image.

The aim of the study to examine the Impact of social media marketing on creating brand responsiveness. It focused on public universities in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a sample (785) student via email. In total, (564) responses were received including (38) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (526) responses suitable to analysis requirements. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that social media marketing dimensions had impact on creating the response to the brand. However, the results indicated that the highest impact was for e-word of mouth. Based on the results of the study, the researchers recommend educating young people about the concepts associated with the use of marketing social media from breach of privacy and addiction to its use.

The current paper was looking at how the factors of content richness, trust, perceived ease of use, perceived usefulness and user satisfaction impact TikTok acceptance. Participants of this study were 145 Telecenter users from three regions in Jordan. Their use of TikTok platform in e-commerce activities was examined. The data from the survey were analyzed and the obtained results led to the discussion on the policy implications in guiding both government agencies and customers in their efforts in improving their e-commerce activities via TikTok platform. Avenues for forthcoming research were discussed as well.

The study aimed to explore the impact of social media usage on customer decision-making process among Petra visitors in holiday travel planning context. In order to achieve the objectives of the study, the analytical descriptive approach methodology and convenience sample technique were adopted, the researcher designed a questionnaire based on previous studies, which consisted of (33) items to gather the information from the study sample. The Statistical Package for Social Sciences (SPSS) program was used to analyze and examine the data and the hypotheses. The research hypotheses were tested using descriptive statistical methods and simple linear regression test. The main results were: There is a moderate level of using social media in customer purchase decision process among Petra visitors, where the average of using social media was (3.05) in search information phase, (3.15) in evaluation of alternatives phase, (3.54) in purchase decision phase and (3.64) in post-purchase evaluation phase. There is statistically significant impact of the using social media on customer decision making process in all phases at the significance level (α ≤ 0.05). Also, the study found that the information provided by friends, relatives or other travelers on social media tools is more trusted in comparison to other source of information. The study recommends for companies and agents engaged in tourism industry to adopt social media as a marketing strategy due to its great advantages. Specially, After the end of the COVID-19 pandemic, so companies operating in the field of tourism are in dire need of promotional and advertising campaigns in line with the modern technologies.

Aside from causing fear worldwide, COVID-19 has significantly affected global marketing and the behavior and attitudes of consumer. In Jordan, COVID-19 has affected the lifestyle, buying, and consumption patterns of consumer whereby in-store purchases are becoming less popular, and consumers are increasingly favoring other product sources. With the increasing usability of the internet in the business world, the popularity of online shopping is increasing, evidenced by the increased number of online retailers globally. A psychometric Fear of COVID-19 Scale (FCV-19S) was developed to evaluate COVID-19 fear and online shopping and it was employed to gauge consumers in developing countries like Jordan. This descriptive study presented a theoretical framework comprising trust issues, perceived ease of use, perceived risk and fear of complexity in online shopping among Jordanian consumers. The findings show that trust, perceived ease of use, fear of COVID-19 and perceived risk affect online shopping behavior. The increase in confidence in a given online site increases the frequency of online shopping, and the decrease in the risk perceived increases the decision to make an online purchase.

The covid-19 pandemic has severely affected the economy all around the globe and also dramatic effects on the education sector worldwide. This situation needs to be examined and capture the attention of recent studies and regulators. Thus, the present study aim is to examine the impact of student readiness, faculty readiness, and information technology readiness on the management of the Covid-19 disaster in higher education institutions in UAE. This article has followed the quantitative approach of data collection and taken the questionnaires for this purpose. The current study has executed the smart-PLS to analyze the nexus among the constructs. The results indicated that student readiness, faculty readiness, and information technology readiness have a positive linkage with the management of the Covid-19 disaster in higher education institutions in the UAE. This study has guided the policymakers that they should enhance their focus towards the management of the Covid-19 disaster in the education sector and develop effective policies that improve the education sector's ability to manage the effects of the Covid-19 disaster.

To achieve e-learning sustainability, the current study aimed to investigate the efficiency of blended e-learning. The researcher developed a special questionnaire consisting of (50) items and two open questions, implemented on a random sample of 50% of the students studying the National Education Course at the German-Jordania University in 2021. The results showed that the total efficiency degree of blended E-learning was moderate: “Electronic Exams” ranked first, “Teaching through Videos” ranked second, “Technical use of the electronic platform” ranked third, “Appropriateness of blended e-learning” ranked four, and “Students’ regular study through the electronic platform” ranked last. There were significant differences in favor of the students who dealt seriously with e-learning, with no significant differences in gender, experience, and academic year. The results also demonstrated several advantages and disadvantages of blended e-learning to achieve e-learning efficiency and sustainability, especially for the first-year university students of social studies and humanities. The recommendations focus on some skills that help students be integrated into e-learning, the teaching methods, technological infrastructure, and the model of the optimal education time distribution between e-learning and traditional learning.

This study defines and analyzes essential quality characteristics that should be addressed in the creation and implementation of an E-learning system in institutes, as well as its System Content's Quality, Characterizes, and Attributes. The model was empirically validated by fitting it to data from 302 students who participated in an E-learning AHP. All of the evaluated end-users were compared using the pairwise comparison technique in one of Jordan's colleges. Student Oriented Domain, Online Services, and Content Quality are the three sub characteristics of System Content Quality; each sub characteristic has its own set of traits that are used to determine the evaluation's outcome. The Analytical Hierarchy Process (AHP) has been widely employed in multi-criteria decision-making for a variety of practical decision-making situations. The AHP model was used to collect pairwise comparison judgments from all evaluated end users.

The study aimed to identify the Obstacles to the implementation of applying the e-learning management system (Blackboard) among Saudi university students. To achieve the objectives of the study, the researcher adopted the descriptive approach. The study sample which was chosen randomly consisted of (250) female students from the College of Applied Sciences and the College of Sciences and Humanities at Imam Abdul Rahman bin Faisal University IAU. The researcher built the study tool “questionnaire” which covers four areas: Administrative barriers, technological barriers, financial (physical) barriers, and social barriers. The data was processed by the statistical method. The findings indicated that the areas of the barriers which face the implementation of the blackboard system among female students at the College of Applied Sciences and the College of Sciences and Humanities at IAU were as follows: Social barriers which ranked first and with a (high degree) followed by financial barriers (moderate degree), administrative barriers (moderate degree) and the technical barriers (low degree) and with the mean 2.60, 2.20, 2.13 and 1.37 respectively. The study recommended promoting the technical aspect in the university through using the blackboard system and providing specialists and technicians with suitable training regarding the use of this system and holding educational sessions for students and the College of Applied Sciences and the College of Sciences and Humanities members to enhance the concept of e-learning.

This study aimed to unveil the possession of faculty members and students of communication skills and their reflection on achievement in Saudi universities. The study population comprised (420) staff members representing all departments of the preparatory year. The sample comprised (136) male and female staff members which represent (43%) of the study population. To achieve the objectives of the study, a questionnaire was designed in compliance with the Likert five-point scale comprising of five-axis skills: speaking, listening, dialogue, persuasion and affecting, and negotiation. The most important findings were: Students’ overall degree of practice verbal communication skills from the perspective of staff members was high. There were no differences with statistical significance at the statistical level (a ≥ 0.05) for staff member responses attributed to social type variable, but there were differences with statistical significance in staff members' responses regarding students’ academic departments in favour of self-development with a mean of (3.94) at the function level (a ≥ 0.05).

The aim of the current study is to identify supportive services’ effectiveness on the academic and social development of students with disabilities at special education centers in Jordan from teachers’ and parents’ perspectives. The sample of the study consisted of (106) special education teachers, and (106) parents. To achieve the study objective, the supportive services and the academic and social development questioners were used. The results of the study revealed that the level of the supportive services provided to students with disabilities, as well as their academic and social development, was moderate from teachers’ and parents’ perspectives. Furthermore, a statistically significant positive correlation was found between the total score of supportive services provided to students with disabilities and their academic and social development. In light of the results, the study recommends providing advanced levels of counseling and physiotherapy services for students with disabilities.

The current study aimed to identify the effectiveness of the performance of principals of basic schools, the first cycle, in change management in light of the Corona pandemic. The researcher used the descriptive-analytical method. A questionnaire was applied to (400) male and female teachers. The effectiveness of the principals’ performance for change management fields was as follows: Follow-up and implementation ranked first with a mean (3.83), followed by planning (3.73), and evaluation (3.60). The study showed that all the statements of the three axes regarding the effectiveness of the performance of principals of basic education in the axes of change management came to a high degree, except one item in evaluation axe “Item 3”, which reads (the principal focuses on evaluating qualitative performance and neglects quantitative performance). The study showed statistically significant differences at the significance level (0.05) in all fields in favour of females. The study also indicated that there were no statistically significant differences between the means due to the academic qualification variable. The researchers recommended that the Ministry of Education should adopt the change project for all school principals in its plans as a basic project in its organizational structure.

There is an increasing trend of moving away from traditional technology in the learning process and toward mobile technologies. Today students are well-equipped with this technology, which may facilitate this transition. The purpose of this study is to determine how frequently Jordanian students use their smartphones to learn vocabulary, as well as which application is the most and least preferred for learning vocabulary, and whether they believe that utilizing smartphones will help them enhance their vocabulary. The quantitative research approach was used in this research. The researchers adopted the questionnaire to collect the research data. (135) fourth-year students from Zarqa University (ZU), who studies English language and Translation studies, participated in this research. The findings showed that the majority of Jordanian bachelor students at ZU use their Smartphones for learning vocabulary. IOS and Android were the most used applications among students at ZU. While the least preferred applications were Skype, Viber, Imo, and Hi. The majority of the students believe that using Smartphone help them to improve their vocabularies while searching for the meaning, spelling, pronunciation of the words, listening to English videos through YouTube, English channels, and English music, and using social media. Based on the findings, the researchers provide a number of recommendations and more studies that may aid academics in understanding the innovations needs in the area.

The study aimed to find out the effect of using SCAMPER strategy on developing students’ some habits of mind.. The participants were chosen from the Fifth-grade students prep stage and they were divided into two groups, experimental and control group. The study tools prepared by the researcher (achievement test and habits of mind questionnaire) were pre- administrated. The experimental group learnt the presented material using SCAMPER strategy and the control group studied in the traditional method. The study tools were post applied. The results showed that there were statistically significant differences at the level (0.01) between the mean scores of experimental and control groups in the post application of the tools in favor of the experimental group.

Writing is one of the most difficult components of learning a foreign language. Writing is the most difficult and time-consuming component of the language system. Writing necessitates a combination of orthographic, graphomotor, and other language abilities, as well as semantics, grammar, spelling, and writing standards, which are not limited to the aforementioned talents. The advancement of cognitive psychology, particularly metacognition, has attracted the attention of a growing number of scholars and prepared the way for new dimensions in EFL writing, notably in the area of writing achievement. This study seeks to evaluate the impact of applying metacognitive methods on United Arab Emirate EFL learners’ writing performance due to the method's high executive aptness, which includes formulation, supervision, and assessment. Sixty-eight students were chosen at random from secondary school to participate in the study's experimental control. The experimental group was given metacognitive strategies-based writing training, whereas the control group was given merely regular writing instruction. Both groups were post-tested after five weeks of teaching, and the students were given another post-test at the end of the twelve-week programme. The Wilcoxon Signed-Rank test was used to analyse the data after the independent Mann–Whitney U test. The experimental group's writing performance improved as a result of the study's findings. This study's findings have consequences for both education and future research.

The outbreak of the famous Corona Virus in the world at the end of the year 2019 has triggered the world to bring major changes to the everyday walks of life. This virus entered Pakistan in February 2020 and resulted in the lockdown to be enforced throughout the country. Just as many other fields of life, the education sector also had to tolerate a massive hit of this closing down. The traditional approach of education based on the face-to-face interactions between the students and instructors went dependent on online platforms. This was a major and sudden switch, which was found extremely difficult throughout the world as well as in Pakistan. The concept of online education was not anything new. It prevailed earlier also, but that was the one conducted after proper planning, which was not at all in the case Covid-19. This research paper first discusses the perspectives of parents and teachers on the effectiveness of online education by qualitative approach. Secondly, the results of the conducted surveys are evaluated in the quantitative part of the paper. Further, the results of both the research types are compared to discuss and reason the overall scenario of online education in Pakistan.

With the changing circumstances across the world due to the pandemic COVID-19, the concept of distance learning and the use of technology has increased at a very fast pace. This has resulted different online classes and different associated risks related to security with these online classes for the organizations. However, with the passage of time, it has been realized that COVID-19 has now become a part of our lives, and what we considered a matter of days or weeks might last for a very long period, which is still unknown to us. Most importantly, this new phase of life has become a new normal for the people today. It has now become important for us to change the course of our lives and to hold different activities according to this new normal. Most of the business activities are also now being adapted through this social distancing and many other activities involving the education system to be on top of everything else. The methodology adopted for the study was qualitative study and the method adopted for the study was interviewed and generating the study through literature reviews.

Advances in pharmacy practice have transformed the role of a pharmacist from traditional dispensing to more patient-centered care practices. Apart from the traditional dispensing practices, pharmacists are currently assigned to provide pharmaceutical care services focusing on identifying medication-related problems, taking a medication history, patient interviewing, and designing an evidence-based care plan. The advancement of the pharmacist's role to be part of the health care team to maximise the health care provided to the patient should be met with restructuring the pharmacy education and assessment from being focused only on medicine compounding, selling, and dispensing to include pharmaceutical care provision. Undergraduate pharmacy education has changed tremendously over the years, evidenced by the shift from a customer-based approach to a patient-centered approach using different clinical learning and examinations models such as Objective Structured Clinical Examination (OSCE). OSCE exam is considered a powerful and valuable tool for evaluating pharmacy students' clinical performance. During the COVID-19 pandemic, pharmacy education and examination are globally affected. Many pharmacy schools are confronting surpassing challenges to sustain education during the COVID-19 pandemic. The global experiences of academics and healthcare instructors in delivering emergency remote teaching, ensuring purposeful experiential pharmacy student placements, communicating and supporting the displaced or isolated pharmacy students are considered an accelerating opportunity for new models of pharmacy education. Therefore, this chapter aims to have an overview of pharmacy education during the COVID-19 pandemic, the challenges to online pharmacy education, and the impact of the COVID-19 pandemic on pharmacy learning and education. Also, to have an overview about conducting OSCE clinical examination during COVID-19; the online OSCE exam preparation, set up, implementation, and assessment during COVID-19. Finally, to describe what can happen in the future to the online pharmacy student clinical education, OSCE assessment, and examination.

The aim of this study is to predicate breast cancer by using three approaches: Multilayer perceptron, multiple linear regression, and logistic regression, then make a comparison between the performance of these approaches to decide the best approach to analyses the Wisconsin breast cancer dataset. In this study, we used the Wisconsin breast cancer dataset (699 instances and 11 attributes). Three approaches (multilayer perceptron, multiple linear regression, and logistic regression) were applied to the dataset to predicate the Wisconsin breast cancer. Performance was calculated for each approach and a comparison was made between the three approaches to see which is better. From the performance comparison between multi-layer perceptron, multiple linear regression, and logistic regression, the Wisconsin breast cancer dataset is best to analyses using multi-layer perceptron, with 100% compared to logistic regression 97.6% and multiple linear regression 84.4%. The computerized and especially logistic regression model could be useful to the predicate for many fields of science. For this reason, it’s used abundantly in the medical field specially to build a model to predicate breast cancer. The conclusion from this experiment showed that not all the independent variables have the coefficient effect with the dependent variable. However, the logistic regression approach is the best approach to analyses the Wisconsin breast cancer dataset rather than the multi-layer perceptron and multiple linear regression approach.

The purpose of the current research paper is to measure the effectiveness of the usage of 3DPT applications by small-medium sized enterprises (SME) in Jordan as a case from developing countries. It also aims to test whether the extent of the usage of 3DPT applications differs across different SME in terms of their type, size, and experiences. Primary data were collected from 250 respondents and 23 measures of 3D technology effectiveness were employed. A questionnaire was developed and extracted from previous studies. Six factors for measuring 3D technology effectiveness were extracted, namely: (1) time, (2) cost, (3) quality, (4) innovation, (5) competitiveness and (6) management. The findings indicate the extent of the 3DPT being used by small-medium sized enterprises (SME) in Jordan could be considered quite good at this stage. It also provides positive evidence that the 3DPT technology effectiveness indicators are significantly related to the level of 3DPT applications being used by SMEs, particularly, cost, time, quality and innovation. The findings revealed that the extent of using 3DPT technology applications were differ among the target respondents based upon their size while there were not differ in terms of their types and business experiences.

This study aimed to understand the current conditions of the tourism product as well as tourist perceptions in Aqaba City. A quantitative approach methodology was developed to meet the research aims and objectives. The quantitative technique was used based upon the opinion of tourists who visited Aqaba to understand the current condition of tourism products and tourist perceptions. The result indicated that most of the tourists complained about the transportation and traffic. Therefore, there is a need for local institutions to overcome this problem by facilitating access to important tourist attractions areas. Moreover, these institutions should give more attention to the cleanliness issue in Aqaba. Tourists also indicated that Aqaba lacks good restaurants to use or café to enjoy in the city. This indicates that existing places are all popular initiating the need to construct new places with suitable entertainment for tourists. Aqaba Special Economic Zone (ASEZA) should encourage the private sector to establish more cafés, restaurants, and other facilities in Aqaba. Moreover, public institutions should control prices, as tourists complained about the manipulation of prices, especially with tourists using their ignorance of prices. Another weak element was raised by tourists is the poor activities included in the tourist programs in Aqaba. Tourists who visited Aqaba felt boring in particular during night times due to the poor program. The tourists expected to see the city with a wide range of tourist activities distributed in different places. Authorities and policymakers in Aqaba should create a suitable and enjoyable activates program for tourists. The study also recommended that tourism in Aqaba should be marketing along with Petra and Wadi Ram as standalone destinations. Furthermore, tourism in Aqaba needs a special Beach Management Board, which should be responsible for all tourism activities on the beach of Aqaba.

Classifying using Multinomial Logistic Regression is one of the techniques used in the statistical model. Binomial logistic regression is a form of regression that is used when the dependent is a dichotomy and the independents are continuous variables, categorical variables, or both. Multinomial Logistic Regression Model is used to handle the case of dependent variables with more classes and suitable for non-linear data by using Maximum Likelihood Estimation and Wald Statistics. This experiment aims to predict the Thyroid disease Dataset by using the Multinomial Logistic Regression model. In this experiment, SPSS software is used to run the Multinomial Logistic Regression by Thyroid disease data supplied by Randolf Werner, which was adopted from the UCI Repository of Machine Learning Database.

The success of any business continuity today depends on its levels of preparedness to address any disasters that could emerge from the risks it faces in its operations. Most of the businesses in the UAE have adopted information technology and systems to aid them in their operations. Unfortunately, the adoption of such systems enhances the risks that businesses face, hence the need to ensure they adopt reliable disaster management strategies to address any potential challenges they could face. The aim of this research is to review and measure the levels of information system disaster preparedness in both the private and public sector organizations operating in the UAE. A study was conducted to measure the use of some of the popular disaster risk management models such as STRIDE, DREAD, and BCM. The study indicated that many of the firms in the UAE are not fully prepared to tackle disasters emanating from their information management systems but have taken some steps and have invested part of their resources in improving the state of their preparedness. The findings in this paper can benefit researchers in the field of IT, private and public organizations in the region, government entities, and other stakeholders investing in the gulf country.

The set of activities performed during the preparation of an inbound aircraft for the succeeding outbound flight, which are planned for the same aircraft is called turnaround operation. The turnaround operations consist of activities the exchange of passengers for both inbound and outbound, crew, baggage and cargo handling, catering services. The evaluation and control of activities at the present time, is being carried out manually, which lead to flight delays and unreliable data. The proposed solution is to show the aircraft turnaround operations in real time and is based on a rule based systems called Aircraft Turnaround Manager (ATM) that is used to manage and monitor the flight groundwork throughout the turnaround process. The Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT) are exhibited in the system. The study has shown, real time monitoring of turnaround operation can decrease delays occurring from operations belongs to airline and can optimize the aircraft ground time.

This paper has attempted to build on an explanation of solutions for database problems in information systems. The main focal area for this paper is majorly on enterprise resource planning systems and their effects and characteristics that make them a primary software tool which is used by businesses worldwide whether they be at large scales or work at smaller scales compared to the big-name enterprises out there. The paper has given a basic introduction into what an enterprise resource planning system is and defined its key characteristics that make it exactly an ERP. It also points out how businesses and enterprises make use of such systems and the methodologies that they use to implement ERP systems into their business practices. This paper also attempts to characterize ERP in relation to the solutions that they provide for the specific industry that they are used in. This is mostly done through categorizing the ERP through characteristics such as according to size, technology, risk factor, cost effectiveness and more.

This paper shows the importance of technology in mitigating the spread of Covid-19 which has significantly changed the lives of people, affecting health, livelihood, and the global economy due to the closure of international borders. It has promoted social distancing and increased the need for measures that can eliminate the impact of COVID-19 related issues and outcomes. The research investigates the ways technology can benefit to support teams in preventing Covid-19. It also aims to examine the main advantages of drones during Covid-19. In addition to suggesting the use of drones to fight the Covid-19 pandemic. The inability of some countries to cope with the virus and the effective use of drones to deal with it highlights its importance. However, there is a need to adjust some cultures to the use of drones during the coronavirus crisis. Based on the review of literature, it indicated that people couldn’t eliminate the virus impact yet, but they could alleviate the damage they caused. The current research has used interviews to collect data from five organizations involved in the mitigation of unknown-unknown risks, including the Ministry of Health & Community Protection, Dubai Executive Council, DEWA, Melaaha Drones, and ArabDrones. Moreover, a face-to-face interview was conducted by phones and e-mail conversations. As well as a literature review has helped in exploring the unknown-unknown risk method along with the use of Artificial Intelligence such as drones to assist in combating the Covid-19 pandemic. The descriptive qualitative research design has helped to test the hypothesis regarding its ability of drones to mitigate the unknown-unknown risk of Covid-19. The research results part indicated that drones are vital constituents of contingency planning. They have proven their value by going for the extra mile in saving costs and lives by incorporating drones technology in minimizing the effects of the crisis which was illustrated with some real examples. Also, the paper has proven the hypothesis by showing another real example on a drone company like ArbaDrone and how they assess, plan and mitigate unknown-unknown risks by following such a specialized program called RIO Project Program to measure and minimize the crisis impacts in the running company. Thus, drones have significantly helped countries such as the UAE to deal with the risks against Covid-19 through the elimination of infection risks with about 96% accuracy via computerized tomography scans. Finally, since the drones have contributed to international success in mitigating the Covid-19 pandemic and having an essential role in fighting the spread of the virus, so, it is very necessary to re-enforce the drone’s experience to enhance the fight against coronavirus attracting other tools. Furthermore, extra studies still needed to give more bigger pictures about the impact of this coronavirus statistically to have more information about its influences on the global market.

From management perspective, understanding the strength of leadership, process, system, operation, and risks is essential to lead the organization to success.

Unidentified risks, also called unknown unknowns, have been outside the scope of organization risk management for a long time. Many leaders believe uncertainties are difficult to find or imagine in advance. For instance, when COVID-19 spread quickly to different parts of the world in early 2020, the sudden shift of tens of millions of workers from on-site to remote work locations was experienced across the globe. Many businesses sent their staff to work at home, and most enterprises adopted technology to maintain their operations. Remote work has been aided by new technological platforms, including virtual private networks (VPNs), voice over Internet protocols (VoIPs), virtual meetings, and other collaboration tools. During this COVID-19 pandemic, these technologies have reduced the spread of the virus, enabled employers to decrease overhead expenses, helped workers to gain flexibility, and abridged overall organization risks. This study gathers critical information about remote work amidst unknown risks, such as COVID-19 pandemic, by relying on qualitative and quantitative data. The study develops a model to characterize unidentified risks by gathering employees’ perspectives on remote working. Data collected will be compared in terms of the benefits and challenges of remote work. The findings and discussion will be used to suggest and recommend ways organizations can rely on remote work to improve performance and mitigate sudden, unknown risks.

The study aims research paper seeks to study the status of tourism promotion in Jordan, in particular via the Internet, with a future plan to develop this type of promotion based on the needs of the country of this research paper is to draw conclusions that help to know and understand this type of tourism promotion, And to know how to develop it in Aqaba Special Economic Zone Disseminatethe maximum information about the restaurant in the Aqaba, this research paper is designed to determine the conditions of websites used in tourism promotion of the restaurants to find out the obstacles that face this type of promotion via websites, and the factors that affect its the promotion is to be a primary tool for economic development in tourism destinations, The objectives are to increase the contribution of the tourism sector to the obstacles of e-business in the classification of restaurants and to benefit economically from the tourism industry through employment opportunities and investment, product Development and tourism experience, promotion of tourism in restaurants, between the public and private sector in Aqaba.

This research study specified the Building Information Model has structures such as formation and sharing of the data with other associates of the project. Building Information model was used as a tool for the improvement of sustainability of constructions by consuming the energy effectively and upholding a waste organisation process in the post constructed level in the business highlighting the facility management. The objective of this systematic review is to provide the digitalization technology to have a better understanding which accomplishes the development of electrical devices, approaches and organisations that make the statement more precise and flexible by focusing on previous studies. Surveyed the strategies of showing the systematic review for which the investigators have focused on two main records which are google scholar and emerald insights from which the case studies were selected by clarifying the scholars based on year (2018–2020) and concentrating on eligibility standards. The three studies that were certain of which 2 were from google scholar and one was from emerald insights. These were choose based on sustaining the aims of the present study. The outcomes of the current study revolve the significance of combination between technological digitalization, capabilities, business, and organisation of digital Facility Management. To conclude, the digital practices of the sustainable facility management are experiencing appraisal and transformation.

Among the plethora of technologies revolutionising modern life, Unmanned Aerial Systems, also known as self-piloting drones, offer scope for profound changes in a variety of applications across many sectors. Commercially available drones of various shapes and sizes serve numerable practical user needs. Drones are expected to achieve great economies and improve sustainability, but significant legislative and technical challenges face their adoption and deployment in many counties. This chapter reviews civilian drone systems, and their applications, benefits, safety, and security challenges.

This research paper aimed to produce a systematic review of two of the critical terms in any organisation: risk management (RM) and diffusion of innovation (DOINV). The research sought to examine the relationship between RM and DOINV. The systematic review comprised 27 articles published from 2007 to 2020 sourced from different databases, such as; ProQuest, Emerald, ScienceDirect, IEEE, Scopus, and Google Scholar. A set of inclusion and exclusion criteria were used to filter the results, which were then assessed using a quality assessment process. Factors that appeared more frequently were highlighted as the main findings for future study. A proposed framework for future study was also defined at that point. Next, a comprehensive analysis was conducted on the 27 selected articles to answer the five research questions. This researches’ main finding of this research was that a risk management culture positively supported the diffusion of innovation in firms. Several factors affected this relationship, such as; organisation learning, intellectual capital, human resources management, information technology, soft total quality management, knowledge management practice, strategy and structure.

The study aims to identify the impact the quality of medical information systems on the job performance in Private Hospitals in Jordan. The study population consisted of all employees with job titles (doctor, nurse, pharmacist, laboratory technician) in private hospitals in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample via email. A self-reported questionnaire that consists of two main sections along with a section regarding control variables was used as the measurement instrument. Statistical program AMOSv24 was used to test the study hypotheses. The results showed that the highest impact was for ease of use, followed by ease of learning, then flexibility, then reliability, and finally the lowest impact was for responsiveness. Based on the results of the study, researchers recommend managers and decision-makers in private hospitals in Jordan to hold training courses in the field of using medical information systems for all employees in private hospitals, and to focus on maintaining these courses, and raising their levels in line with continuous technological developments and changes.

The major aim of the study was to examine the impact of Human Resources Management strategies on Organizational Learning. Therefore, it focused on Islamic banks operating in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of managers via email. The statistical program AMOSv24 was used to test the study hypotheses and achieve objectives. The study results demonstrated that Human Resources Management strategies have a positive impact relationship on Organizational Learning of Islamic banks operating in Jordan. Based on the study results, researchers recommend managers of Islamic banks in Jordan to develop mechanisms that reward employees for learning new things, in a way that enhances adaptive and generative learning processes, and enhances confidence building among employees which allowing organizational learning processes of both adaptive and generative types.

The major aim of the study was to examine the impact of organizational structure characteristic on administrative communication efficiency. Therefore, it focused on telecommunication companies operating in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of managers at different levels via email. Structural equation modeling (SEM) was used to test hypotheses. The study results showed that organizational structure characteristic has a positive impact on administrative communication efficiency. Based on the results of the study, the researchers recommend managers and decision makers to pay more attention to the dimensions related to the characteristics of the organizational structure (specialization and flexibility) that will affect the enhancement of the level of effectiveness of administrative communication.

This study aimed to analyze the impact of critical success factors of strategic information system on the strengthening human resources management strategies in the Social Security Corporation. The study population was made up of 120 members of the directors and chiefs of sections of the Social Security Corporation. Structural equation modeling (SEM) was conducted to test hypotheses. The study found a statistically significant impact of the critical factors of the strategic information system on the human resources management strategies of the Social Security Corporation. The study recommended that attention should be given to strengthening top management support for its important role in strengthening human resources management strategies and the strategic information system.

The purpose of this research study was to explore the factors that affect emirates employee sectorial choice (public vs private). And, to examine if there is a difference between these factors related to local employees working in the public sector and the private sector. A quantitative approach was deployed in this study to determine the most important factors that affect local employees' career choice toward the private sector. The population of this study was the work force in the state of Abu Dhabi, those whom are employed in the public sector and in the private sector. Simple random sampling technique used to choose appropriate sample from this population. From each sector a random sample has been chosen from different industry that falls under the public sector and the same procedure has been followed for the private sector. The statistical tool used for the purpose of this study was Chi-square. Chi-square analysis is used to check for differences in the categories between the two samples. This study reveals the difference between public sector employees and private sector employees and their job characteristics. The public sector employees experience more autonomy and feedback than their colleague in the private sector. The study provided practical and theoretical recommendations.

This study aims to investigate the impact of job insecurity on job performance among employees of Save the Children Jordan. The population of this study is 254 employees of which 153 employees are the recommended sample size for Save the Children Jordan. In total (254) questionnaires were distributed to the target sample, of which (248) questionnaires were retrieved. The final number of valid questionnaires for analysis was (160). This study used a quantitative, descriptive statistics and other tools to test the study model. SEM analysis using PLS considering that present study has a sample of a small size relatively, therefore, it's vital to validate the garnered results using such SEM type. The findings in the study illustrated that job insecurity is negatively related to job performance. Base on the study results; Save the Children management is advised to provide more attention to Job insecurity issue among its employees and to find suitable means and apply adequate interventions to cope with this phenomenon and its consequences that expected to last for relatively a long period of time.

This study aimed to address the issue of strategic thinking at non-governmental organizations in Jordan & investigate whether strategic thinking has any impact on the performance of these organizations. It also aimed at finding out whether the top manager's demographic characteristics have moderating effects on the relationship between strategic thinking and organization performance. The study sample consisted of (262) top managers of non-governmental organizations in Jordan. The primary data of the study collected by questionnaire. SPSS, AMOS, and Smart PLS software utilized to conduct the statistical analysis process. The results show a positive impact of strategic thinking on the on performance. Furthermore, the study will hopefully be beneficial for policymakers & all organizations interested in boosting the role of NGOs. This research recommends the organizations to promote and support the adoption of strategic thinking factors for NGO managers and related institutions to improve the level of performance and quality of services provided such as developing training programs specialized in strategic thinking topics and organizing training workshops to discuss the real cases and companies' experiences inside and outside Jordan.

The aim of the study was to examine the impact of electronic human resource management on intention to leave. Therefore, it focused on international non-governmental organizations (NGOs) operating in the humanitarian sector. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a random sample of (620) employees. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that electronic human resource management had a negative impact on intention to leave. Moreover, the results indicated that the highest impact was for e-performance evaluation. Based on the study results, the researcher recommends organizations to involve employees in databases that enable them to follow the electronic human resources management practices, which is to follow up on the performance appraisal and how it works.

This study aimed to measure the mediating effect of organizational commitment on the relationship between work life balance and intention to leave. The study population is consisted of (800) working women in king Abdullah university hospital. To collect the primary data questionnaire survey was distributed to (200) working women and (144) questionnaires were returned. The study uses ordinary least square (OLS) technique to run simple regression and test hypothesis where the work life balance is used as independent variable and intention to leave as dependent variable, for mediating effect the study used the organization commitment variable. After analysis, study found that affective commitment has fully mediated the relationship between work life balance and intention to leave. While normative commitment has partially mediated the relationship between work life balance and intention to leave among working women in King Abdullah University Hospital. In light of previous findings, the researchers recommends adoption of work life balance program in Jordanian hospitals, to improve the motivation and commitment of women employees for better organizational performance.

The aim of the study was to examine the impact of e-human resource management on employee satisfaction. Therefore, it focused on the private hospitals in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of (320) physicians. In total, (285) responses were received including (11) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (274) responses. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that E-human resource practices had a positive impact on employee satisfaction except e-compensation. They also indicated that the highest impact was for e-development. According to the study's findings, managers and decision-makers should follow the contract's implementation of all employee rights, as well as the employee's commitment to carry out all of the duties entrusted to him, ensure the employee's job stability, and work to ensure that an organization offers advanced technologies based on employee performance evaluation.

The objective of this study to understands the role of work engagement as a mediator in the relationship between employee empowerment and intention to quit. A quantitative approach was adopted in order to achieve this study aim: 318 responses were collected via an e-questionnaire from the respondents belonging to IT sector employees in Jordan, one of the most significant Jordanian sectors. The Statistical Analysis Package for Social Science (SPSS) was used for data analysis, and the Sobel test was further used to assess the mediating impact of work engagement on the relationship between employee empowerment and employees’ intentions to quit. Findings indicated that that work engagement has a mediating effect between employee empowerment and employees’ intention to quit. In light of the findings of this research, the most important recommendations include that information technology companies should focus on enhancing employee empowerment within organizations so that the employee becomes more affiliated and engaged in the organization in which they work. More future studies on empowerment, intention to quit and work engagement could be conducted in other organizations.

This study aims to examine the impact of manufacturing flexibility on the response to customer requirements which is the dependent variable. This study was applied on 210 random samples of 458 manufacturing companies in King Abdullah II Ibn Al Hussein Industrial City. The researcher used the questionnaire tool to collect the primary data from the units of observation. The data was analyzed by using SPSS program. The study findings showed the impact of manufacturing flexibility on response to customer requirements. The study recommends increasing of job rotations of employees among company’s activities to amend labor flexibility.

The study aimed to identify the effect of strategic vigilance on competitive capabilities in Jordanian insurance companies. The study population included (288) individuals, who are the managers of the upper and middle level at the Jordanian insurance companies, which are (24) companies. The study sample is chosen from study population and this sample was chosen by equal stratified random method, which is estimated at (167) respondent according to the sample selection schedule. The questionnaire was used as a tool for the study, the final sample was consisted of (138) individual. Two statistical analysis programs (IBM SPSS 24) (SMARTPLS, v. 3.2.6) to analyze the study data and test its hypotheses. The study showed a statistically significant impact of the strategic vigilance on competitive capabilities in Jordan insurance companies. According to the results, the study recommended the need to enhance interest strategic vigilance information in Jordanian insurance companies through the establishment of units and departments for the strategic vigilance in them, as they are important as strategic information resource.

The study aimed to investigate the impact of emotional intelligence on teamwork performance. The study population consisted of all employees working in the IT private sector in Jordan. From all IT companies working in this sector, four IT firms, at King Hussein Business Park, were selected with total number of (80) IT employees. A questionnaire was developed as the study instrument, which was composed of ten dimensions with (65) items. Multiple regression analysis was used for testing the study hypotheses. The study results found that emotional intelligence has a significant impact on teamwork performance. Based on the study results, the researchers recommend managers and decision makers to build good relationships with each other to improve the communication of information and ideas among the team members, and to have enough ability to overwhelm disputes occurring during the practice of work activities, which will make the work be achieved in smoother and faster mode.

The major aim of the study was to examine the impact of functional withdrawal on organizational commitment. Therefore, it focused on Jordanian public hospitals operating in the north region. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a random sample of (306) nurses via email. Structural equation modeling (SEM) was conducted to test hypotheses. The results demonstrated in Table 2 show that functional withdrawal has a negative impact on organizational commitment. In light of the findings of the study, managers and decision makers in hospital management should provide support, material and moral incentives, and educational, development and promotion opportunities for employees, especially nurses, with the need to focus on knowing the needs of nurses to increase their connection with their organization and reduce their tendency to search for new opportunities and leave work.

The study aimed to identify the impact of human resource agility on job performance in Islamic banks operating in Jordan. The study population consists of all managers in the upper management, middle management, and lower management in these banks. The study adopted the stratified random sample that is suitable for the managers in the upper, middle management and the lower management, who are (148) respondents. To achieve the goals of the study and test its hypotheses, the researcher used the descriptive analytical approach, and collected data with a questionnaire used by the researcher as a main performance of collecting information. Smart PLS program was used to test study hypotheses. The study results showed a statistically significant effect of human resource agility on job performance in Islamic banks operating in Jordan. Based on the results of the study, the study recommends assisting decision makers in solving problems, among which was to enhance interest in practicing adaptive capacity, creativity in problem solving, professional flexibility, and learning skills.

The aim of the study was to examine the impact of strategic orientation on organizational ambidexterity. Therefore, it focused on five-star hotels in Jordan. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a random-stratified sample of (215) managers. In total, (193) responses were received including (8) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (185) responses suitable to analysis requirements. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that strategic orientation had a positive impact on organizational ambidexterity. Moreover, the results indicated that the highest impact was for technology orientation. Based on the study results, the researchers recommend hotel managers to develop strategic directions by updating their general strategies to contribute to increasing the market share compared to other competing hotels.

This study aimed to identify the modified role of quality standards in the impact of the application of total quality management on the organizational reputation of Jordanian public universities. The study population consisted of (5477) faculty members in five public universities. The study sample consisted of a proportional stratified sample of (390) individuals, and after the questionnaire was distributed with (410), 390 were recovered, valid for the purposes of statistical analysis. For the purposes of achieving the objectives of the study, multiple regression analysis and the multiple hierarchical regression analysis were used. The study results showed that quality standards play a statistically significant role on the impact of total quality management on organizational reputation. The researchers recommend the necessity for Jordanian public universities to pay attention to the standard because of its important role in the application of total quality management, as well as activating the role of accreditation and quality centers and supporting them with all the needs of qualified financial and human resources.

The major aim of the study was to examine the impact of strategic vigilance on crisis management through the mediating role of organizational learning. Therefore, it focused on Jordanian dairy companies. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a sample of (285) managers via email. In total, (262) responses were received including (16) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (246) responses suitable to analysis requirements. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that organizational learning plays a partial mediation effect on the relationship between strategic vigilance and crisis management. Based on the results, this study presents a set of recommendations to decision makers in order to better manage the crises facing their organizations.

The major aim of the study was to examine the impact of total quality management (TQM) on organizational reputation (OR). Therefore, it focused on the faculty members in five public universities, whose number is (5477) faculty members. As for the study sample, it consisted of a proportional stratified sample of (390) individuals, and after the questionnaire was distributed with (410), 390 were recovered, valid for the purposes of statistical analysis. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that all total quality management dimensions had a positive impact relationship on organizational reputation except focus on beneficiary. Based on the results of the study, researchers recommend managers and decision-makers in public universities to pay attention to the university management standard (higher leadership), which has the largest role in supporting and activating the application of total quality management.

The study aimed to explore the effect of work-life balance on the dimensions of organizational commitment (affective, continuance, and normative commitment) by collecting data by means of a questionnaire distributed to a sample of workers in one of the big food companies. The results showed a positive significant effect of work-life balance on the affective and normative commitment, and a negative effect of work-life balance on continuance commitment. These results agreed with some previous studies and differed with others. The study recommended the need to pay more attention to the balance of work because it improves employee emotional attachment and obligation to the organization and reduces their assessment of their relationship with the organization through the costs they incur in the case of leaving the organization. Researchers are recommended to study work-life balance by focusing on its dimensions and not as a whole variable.

This study explores the influence of Enterprise Risk Management (ERM) framework implementation on the company performance at a conglomerate group of companies, DRB-HICOM Berhad (the Group). This study intends to solve the problem in assessing the relationship between company performance and ERM implementation by focusing on the companies that standardized their ERM implementation towards all subsidiary companies with multi-type of businesses. In this theoretical analysis, quantitative research with correlational research design will be used, and sampling analysis will be done based on the data samples from 3 main business sectors (namely automotive, properties and services) in the Group and both primary and secondary data from Group subsidiary companies. The evaluation on the adoption of the Committee of Sponsoring Organization of the Treadway Commission (COSO) ERM framework within the subsidiary companies will be a key in assessing the ERM practices within the Group. At the same time, the company performance was measured from the company revenue achievement. Different from previous researches done by previous scholars where the studies were only analyzed on one type of business (single way of ERM implementation only and without comparison) or were done on multi-type of businesses/companies (where too many ways of ERM implementation) which contributed to the failures in assessing the relationship between companies performance and ERM implementation, this study will provide a new solution on the above shortcomings by analyzing the companies (with different type businesses) that have an identical implementation of ERM framework across the Group. This may help future researchers and ERM practitioners to develop better standardization of ERM implementation based on the COSO framework. This paper also provides an insight into the best practices in the ERM to be implemented in other companies or organizations, which will impact the company in terms of financial and non-financial performances.

During Covid-19 pandemic situation, a lot of company facing problem in sustaining their businesses. Most organization has response to the current situation in maintaining the business sustainability. Unfortunately, the changes have been made by management has given significant impact on employee performance. This quantitative study is to examine the relationship between motivation, work environment and work from home towards employee performance. The target respondents of this study are among employee in an aerospace manufacturing company in Malaysia during Covid-19 pandemic situation. Statistical Product and Service Solutions (SPSS) and Analysis of a Moment Structures AMOS will be used in analyzing the data that has been collected to get the accuracy of result. The finding shows that motivation, work environment and WFH have a significant relationship with employee performance. The finding of this study is to provide insights to manufacturing company in managing strategic change management during Covid-19 pandemic as well as for future studies in revealing the factors that influence employee performance.

Job performance is one of most businesses’ measures to ensure that their business is sustainable, lucrative, and expandable. It is also an important level indicator in Malaysia aerospace manufacturing industry to maintain competitiveness in the global market. By the end of 2019, when a pandemic had hit the world, the situation became more challenging where the government-imposed movement controls to prevent the disease from spreading. This situation led most aerospace manufacturing companies to explore alternative measures to maintain their business operations, including introducing work from home as a virtual working team for their indirect workers. As this strategy is just introduced in Malaysia aerospace manufacturing sector, the concern arises as to the extent of its impact on their job performance. This study purposely to examines the influence factors in the virtual working team environment and its relationship to job performance. Therefore, the findings hope to provide valuable insights to Malaysian manufacturing organizations in effectively managing their virtual working team and enhancing their employees’ job performance.

Corruption in U.S. local government is a phenomenon that boosted by the decentralization tendency. Most of the literature focus on reducing opportunity for corruption by monitoring and controlling the local governments’ transactions. However, opportunity reduction faces limited success in combating local governments’ corruption. This chapter highlights the need to focus on corruption rationalization. According to the Fraud Triangle Theory, committing a crime requires not only an opportunity but also a rationalization process that precedes or follows the crime. The rationalization is a defense mechanism that aims to normalize the crime and restore good self-image by claiming for instance that everybody practices the crime, the crime did not hurt anyone, or the crime was unavoidable etc. This chapter focuses on how corruption in local governments is normalized (rationalized). Particularly, the role of local governments’ leadership in creating and/or maintaining an organizational culture that rationalize corruption.

In the last decade a social responsibility for the environment, local communities, working conditions, and the ethical practices have become necessary for any organization that is aiming to be sustainable and successful in the business world. Also, job satisfaction reflects the positive and favorable attitudes of the workers that have a great effect on their performance. The purpose of this paper is to reviewing the literature and the associations among internal corporate social responsibility, job satisfaction and their dimensions.

This paper addresses how to improve project and program governance through improving process and infrastructure, resources and stakeholders, organization and culture, and leadership and decision making. A brief overview of the theoretical background of these four governance capabilities is presented. The research approach is described along with three case studies from local government entities in the UAE have been analyzed. The data collected revealed that there is a gap in project/program governance implementation within the chosen organizations for this study. The paper suggested some approaches to improve the four capabilities that can contribute to creating and enhancing the current governance structure utilized across the organizations for achieving better project execution and program benefit outcomes.

Improving a program management in government bodies is a critical aspect, and this research paper demonstrates a thesis on Program Resource Management and its process to the success of government bodies’ roles. The qualitative methodology in this paper studies the program management several aspects in terms of resource management and its effect on the success of the government sector's programs in UAE. The study covers program management's impact on the sectors and issues in government sectors in relation to the lack of professionals and its effect on the availability and clarity of the senior management career paths. The research paper addressed the main problem in program resource management and its wide effects. Similarly, the data gathered to cover the same thesis to compare and analyze the government bodies’ key results and finding. The researchers have been addressed the impacts of resource management on the program management in the government sector. Since resources are always allocated and utilized with a proper record being kept in the government sector, this research analyzes the issues in the government sector. It was estimated that the program managers lack a professional community within the federal government that can provide support and a voice on issues affecting the development of program management in the sector. This give rise to several concerns which are need to be addressed and the research will be on providing a solution to this problem. Alongside that, the research pointed out that the government-wide job series for program managers that spans business functions with a career path that extends into senior career executive management ranks is full of flaws. There is a lack of credibility and quality at the level of the management which manages the resources. The research also allowed the researchers to carry out the SWOT analysis on program resource management. This will allow to identify the major threats and the opportunities which the field has for the young aspirants in the future. The researchers’ main focus is on to identify the major problems in the program resource management. The aim has been to identify these issues and then propose proper and sustainable solutions for them to ensure employees and management make better use of the resources either in the program or project. The issues like managing resource allocations, choosing the right career path and lack of training and development are a few to name which the research has discussed in detail. The aim has been to evaluate these issues by ensuring that they are analyzed from the perspective of the employees as well as the management.

The United Arab Emirates (UAE) presents a special set of circumstances for sustainable long-term development and economic growth. In this paper, quality management in the mining and industries have been identified such circumstances. More specifically, this paper examines the level of integration of quality management practices in UAE’s mining and construction sectors. Using a literature-based approach, the paper identifies the common factors that lead to failure during project management. Recommendations are also offered accordingly. Also, this paper concludes that although there is a general awareness of the need for quality management in the UAE, quality related issues are not uncommon in both industries. Moreover, delays and poorly structured processes are the main issues causes of low quality projects.

The diffusion of Information and Communication Technologies (ICTs) including the high-speed Internet within the private sector and the exemplar of the private sector’s implementation and use of e-commerce and e-business have caused the public sector around the world to start thinking about this phenomenon become aware of its potentials and consequently utilize them. Therefore, governments around the world started investing heavily in e-Government projects, along with e-services in order to exploit the expected benefits of this phenomenon. E-Government is a new approach followed by nations in providing better services to people and businesses. It increases the efficiency of departments, reduces the cost, streamlines the processes and thus provides several benefits to all stakeholders involved. In this paper, we describe a case study on the successful implementation of e-Government in Jordan using Chan, Lau, and Pan’s e-Government Implementation Framework. The various e-Government initiatives undertaken by the Jordanian government have been described using the four components, namely information content, ICT infrastructure, e-Government Infostructure, and e-Government promotion.

The aim of this study was to examine the impact of Motivational Culture on the Job Satisfaction among the employees in the Aqaba Special Economic Zone Authority. Descriptive, correlational, cross-sectional design were used by distributing of (115) self-reporting questionnaire, which was consist of three parts; the first part was for the demographical characteristics of the employees, the second part was for the Motivation at Work Scale (MAWS) and the third part was the Short Form Minnesota Satisfaction Questionnaire (SFMSQ). The results revealed that motivational culture and the job satisfaction levels were in a moderate level {38.4 (SD = 4.392)} and {62.6 (SD = 14.87)}. Moreover, the regression results reveals that there was a strong significance positive impact of the motivational culture on the job satisfaction (r = 0.78); and (61%) of motivational culture for the employee could be explained from motivational culture. The positive effect of motivational culture in the promoting a high level of job satisfaction, need more focus by the human resources departments to maximum the benefit of the motivational culture.

The major aim of the study was to examine the impact of strategic leadership on implementing public policies in government departments in Karak Governorate. Therefore, it was focused on government departments in Karak Governorate in Jordan. Data were primarily gathered through questionnaires which were distributed to a random sample of (175) respondent. In total, (175) responses were received including (5) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (170) responses. Structural equation modeling (SEM) was conducted to test hypotheses. The study reached the presence of a statistically significant effect of strategic leadership on the implementation of public policies. The study recommended the necessity of paying attention to human capital in government departments in Karak governorate and enhancing interest in ethical practices from major implications in planning activities and processes and participation with stakeholders in providing services and preserving government departments’resources in Karak governorate.

The aim of the study was to examine the impact of innovative leadership practices on strategic intelligence in insurance companies in Jordan. Data were primarily gathered through the questionnaires which were distributed to the managers of the different levels. In total, (256) responses were received including (18) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final questionnaires contained (238) responses suitable to analysis requirements. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that all innovative leadership dimensions have a positive impact relationship on strategic intelligence except changeability which has no impact on Strategic Intelligence. Based on the study results, managers and decision makers of insurance companies have to instill enthusiasm and courage in employees, allowing them to express themselves more freely, with follow-up to identify complaints that may arise from a lack of knowledge or a lack of coordination or integration between departments and units at the institutional level.

The major aim of the study was to examine the impact of organizational ambidexterity on sustainable performance in the presence of organizational commitment as a mediator. Therefore, it focused on Kuwaiti Industrial sector. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a sample of (450) administrators via email. In total, (402) responses were received including (10) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final sample contained (392) responses suitable to analysis requirements that were formed a response rate of (87.11%). structural equation modeling (SEM) was conducted to test hypotheses. The results showed that organizational commitment mediated the relationship between organizational capabilities and sustainable performance. Based on the research results the researchers recommend the oil sector to follow up the information related to the latest technological methods used in its sector, providing attention to setting the plans that aim at improving the human resources and train them to support exploration and exploitation skills.

The study aimed to identify the impact of authentic leadership on sustainable performance through knowledge Ability from the point of view of employees in Jordan customs department. The study population consisted of all 678 employees in the border centers of the Jordan Customs Service, where a random sample was taken proportional represented by the study population by 271 individuals, and the study used the statistical package for social sciences (SPSS), in addition to using the Amos program. The study concluded that there is a statistically significant effect of authentic leadership in sustainable performance through knowledge Ability from the point of view of employees in border centers in the Jordan Customs Department. The study recommended a set of recommendations and suggestions that contribute to maintaining the sustainability of performance and enhancing growth and development in the Jordanian Customs Department.

The study aimed to examine the impact of innovative leadership practices on crisis management strategies in public institutions in the State of Qatar. The study population consisted of public institutions in the State of Qatar. In order to achieve the objectives of the study, a questionnaire was developed to collect data from the analytical unit, the Social Statistical Sciences Package (SPSS V.25) was adopted. The AMOS V.25 program were adopted for path analysis. The study showed an impact of Innovative leadership on crisis management strategies. The study recommended the need for Qatari public institutions to focus on creating strong relationships with strategic partners in the internal Qatari environment and the external environment.

The last three decades have been characterized by an increased number of research studies examining how the management of organizations has become a critical area of concern in modern literature. This paper presents a systematic literature review of the influence of entrepreneurial leadership on social capital and change propensity. The work clearly states the research question on how these variables affect a firm's success. The methodology involved drawing ideas from recent studies that have explored the association between leadership styles and an organization's ability to achieve consistent social capital and effective change management. Relevant literature was accessed on Google scholar search and used to examine the relationships between the variables. This study seeks to fill a gap in the literature by presenting a theoretically-grounded methodology that helps leaders design and adopt approaches that focus on achieving and integrating social capital in managing change in organizations.

Leadership and management have always been common among men, yet women are stepping and succeeding into these roles too. However, with any new change that is projected to a system, challenges arise to reach adaptation or even acceptance of the change. This paper aims in pointing out the challenges and difficulties faced by women in their leadership and management roles. Six factors were studied which are competence, perception, stereotyping, harassment, organizational culture, and gender inequality on the performance and participation of a person, and thus how they impact gender discrimination. The results have presented a set of impressive challenges faced by women in their leadership roles such as gender and sex-based discrimination, stereotyping, harassment, gender inequality and perceived incompetence. This paper articulates the importance of paying attention to the factors affecting women in leadership and management in order to empower them and decrease gender discrimination in the workspace.

The current study aimed to reveal the relation between the practice of creative leadership style and crisis management among faculty members at Imam Abdulrahman bin Faisal University (IAU), from the perspective of the heads of academic departments. A descriptive correlative approach was used by applying a questionnaire to a random sample of (100) Head of Department, during the second semester of the academic year 1442/1443. The findings revealed that faculty members practice both creative leadership and crisis management to a high degree. The study recommended holding training courses for faculty members, creating incentives systems and rewards, stimulating creative leadership among faculty members in universities, and spreading a culture of creativity.

This study objectives are to enhance the understanding of relationship between the transformational leadership on organizational innovation. This framework is proposing to identify the transformational leadership influencing effect in the organizational innovation. A sample of 120 respondent from one of the established Aero Composites Company at Malaysia participated in this research. The result of the study is expected positive support relationship between transformational leadership and organizational innovation. The result of the transformational leadership not only give a significant impact to the process innovation within the organization but in the same time the sustainability of the innovation in driven the better organization management in the competitive market. Only three transformational leadership is considered in the research project which is idealized influence, inspirational motivation, and individualized consideration in the context of aero composites industries generally. This quantitative study used SPSS method for the statistical analysis measurement.

This paper aims to augment the research field of Entrepreneurial Marketing (EM) as a concept and approach, and the substantial differences it holds in comparison to the prevailing giving of the marketing. In doing so, the research aims to explore and analyze the causes and drivers that resulted in the emergence of EM as a new school of thought and conceptualize the paradigm shift EM is providing to the prevailing giving of the marketing field. Grounded theory and logical argumentation based on the literature review including both qualitative and quantitative research, to develop the argument leading to conceptualizing the proposed approach-based paradigm. The research conceptualizes a proposed paradigm to formalized marketing with four main components comprising it: resilient management; scalable/gradual matter of sub-frames including multi-dimensional orientation effectual-causal, proactiveness-reactiveness; living strategic process, and Entrepreneurial Innovation. This paper represents the first bold proposal on the need for a paradigm shift to the prevailing marketing giving and introduces a frame for conceptualized paradigm. Specifically, does the body of literature in EM provide a base toward a paradigm shift of the prevailing of marketing giving or only a new school of thought?

The current research developed a model which included Entrepreneurship Motivation (EM) as a higher order construct that consists of twelve first order indicators (need for achievement, need for autonomy, need for affiliation, need for power, subjective norms, attitude toward becoming entrepreneur, perceived behavioral control, governance motive, financial motive, economic motive, creativity and risk taking) and considered EM as an independent variable for Entrepreneurial Intention (EI). The current research methodology employed a quantitative approach, in which data were administrated and gathered via an online and face-to-face survey with entrepreneurs in Jordan; 221 surveys were collected, the data were later tested using a (SEM) via AMOS program. The findings of this research showed that need for achievement, need for autonomy, need for affiliation, need for power, subjective norms, attitude toward becoming entrepreneur, PBC, financial motive, creativity, and risk taking are considered as indicators for EM, whereas governance motive and economic motive were not indicators for EM.

This study aimed at identifying the effect of the requirements of the administration of high commitment and its dimensions (normative commitment, career enrichment, job security) on achieving strategic entrepreneurship and its dimensions (entrepreneurial leadership, entrepreneurial culture, risk taking) through perceived organizational support in the Iraqi Ministry of Health. To achieve the objectives of the study, a questionnaire was designed and distributed to a sample of (181) of employees working in the Anbar Health Department / the Iraqi Ministry of Health. The descriptive approach was used to describe the analytical procedures, data collection, classification, processing, and analysis to find out the results, while the heuristic approach was used to analyse, interpret and draw conclusions based on the sample of the study. The results of the study showed that there is a statistically significant impact of high commitment and its dimensions (normative commitment, career enrichment, job security) on strategic entrepreneurship in its dimensions (entrepreneurial leadership, entrepreneurial culture, risk taking) through perceived organizational support. The study recommended to increase the level of high management commitment to develop organisational committeemen amongst the employees as this will lead to positive working experience.

The literary meaning of the word ‘smart’ is bright, intelligent, high performing, which, by and large, is also true in the case of ‘smart’ buildings and cities. The present digital age (seems) to be a smart age and smart times, where everything is expected to be smart, including cities and their dwellings or buildings as living and working spaces. This study addresses Dubai, well known for its smart service initiatives, through Dubai Municipality (DM), and Dubai Electricity & Water Authority (DEWA). The Results reveal smart power and water management efficiencies and smart and effective delivery of civic services through the use of ICT. Dubai has plan to turn the sustainable city into power, water, infrastructure, information and communication efficient one by the 2021 Golden Jubilee year of the founding of UAE. The message of it is that the future is of smart dwellings and smart cities, and the concept of ‘smart’ in the case of ultramodern Dubai too should extend to the citizens.

Innovation, emerging technologies and digitalization have significant impacts on personal, social, environmental, and business aspects. This study explores the initiatives taken by the United Arab Emirates (UAE) to accelerate its knowledge-based economy to ensure the best living experience for its people. Knowledge is the key factor in growth and labor market expansion where skills, knowledge, and experience possessed by individuals, are the driver of creativity and innovation, with dependence on information and communication technology (ICT) as an enabler. The UAE is moving towards a knowledge-based economy in order to maintain a diversified economy in line with “The Abu Dhabi Economic Vision 2030” which was launched in 2009. Through a systematic literature review, researchers have developed a perspective on transformation of economy and society through innovation, use of Information and Communication Technology (ICT), as well as government performance management frameworks. Theory of sense data, nomothetic explanations, predictive and prescriptive analytics, along with Smart Dubai as a case study, are used to assess the achievements, emerging trends and expectations of knowledge-based economy in the UAE. Smart Dubai is a unique example of a high-level quality system that strives towards making Dubai the happiest city on earth. Smart Dubai has been adopting many projects that enhance the life of people and support the economy of the UAE. This study highlights the challenges related to the implementation of the Smart Dubai project. The study also provides a clear view of smart cities transformation into a knowledge-based economy and utilizes predictive and prescriptive analytics tools that can assist other researches in the future to improve and develop research regarding smart cities and gain a better understanding. Ten recommendations are made in this study, for the Smart Dubai to consider, in order to maintain high-quality performance and accelerate the transformation process of Knowledge-based economy.

The major aim of the study was to examine the impact of Impact of organizational learning capabilities on service quality. Therefore, it focused on Islamic banks operating in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of managers via email. This study was conducted using structural equation modeling (SEM) to test hypotheses. The results show that interaction with external environment has the highest positive impact relationship on service quality. Upon study findings, the researcher recommends managers and decision makers to invest the human element continuously by involving them in the decision-making process to acquire administrative skills along with technical skills they already have.

The major aim of the study was to examine the impact of knowledge management on administrative innovation. A qualitative method based on a questionnaire was used in this study for data collection and sample selection. Therefore, it focused on of Software Companies in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of managers via email. Statistical program AMOSv24 was used to test the study hypotheses. The study results show that the highest impact on administrative innovation was for knowledge generation, followed by knowledge applying, then knowledge storing, and finally the lowest impact was for knowledge dissemination. Researchers recommend decision-makers to pay attention to the tacit knowledge and experiences of employees, and turn them into tangible ideas and methods that contribute to the development of work performance, and to refine the personalities of their employees by supporting their ideas and suggestions and activating their role in solving problems.

This study aims at examining the impact of intellectual capital on achieving competitive capabilities. A qualitative method based on a questionnaire was used in this study for data collection and sample selection. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of senior managers via email. Structural equation modeling (SEM) was used to test hypotheses. The study results showed that the highest impact on competitive capabilities was for structural capital, followed by intellectual capital, and finally the lowest impact was for human capital. In light of the findings of the study, researchers recommend paying attention to intellectual capital by paying attention to scientific competencies and preserving them by all means, providing the appropriate atmosphere to support talents and providing opportunities for ideas that are put forward by workers and put into practice.

This study aims to know the impact of knowledge management on total quality management in Jordanian private universities. To achieve the objectives of the study, descriptive and analytical approach was adopted, where the researcher developed a questionnaire consisting of (35) items. The study population consisted of all (directors of departments, deans of colleges, department heads, administrative staff, and faculty members), where the study followed the simple random method. The results showed a statistically significant effect of knowledge management on total quality management. The study recommended the necessity for universities to organize meetings to exchange knowledge, opinions, experiences and ideas, address problems facing them at work, and promote a culture of openness, sharing, teamwork and dialogue, in a manner that ensures benefit and learning from each other to improve and implement quality programs.

The aim of this study is to identify the effect knowledge creation process on organizational innovation in Social Security Corporation in Jordan. To achieve the objectives of the study, a questionnaire was prepared consisting of (47) items. The study population consists of all (Managers of departments, Directors of directorates, Heads of departments and staff), who perform their duties in Social Security Corporation in Jordan. The number of employees was about (435) employees. Where the study followed the method of comprehensive survey to withdraw the sample study. The study reached there is an effect of the process of creating knowledge on organizational innovation in the Social Security Corporation in Jordan. The study recommended that knowledge management should be adopted as an input to improve the levels of individual and organizational innovation, through the establishment of an independent department in Social Security Corporation in.

This study aimed to identify the impact of marketing knowledge practices on the competitive advantage of the food industries companies in Jordan. In order to achieve the objectives of the study, the questionnaire was used to collect primary data, whereby the study population consisted of (160) administrators of all levels (senior management, middle management) and who numbered (16) food industry companies. The questionnaire was distributed to the study sample, which included (160) administrators, and the researcher approved the sample the comprehensive survey and the descriptive analytical approach as it is appropriate to achieve the objectives of the study. One of the most important findings of the study is that there is a positive effect of marketing knowledge on the competitive. The study recommended the management of foods industries companies to provide the ability to process and analyze the information they possess in order to correctly forecast market demands, as well as employ delegates to study different markets, and worked to increase cooperation with suppliers and customers to follow up new developments in the market.

This study aimed to identify the impact of talent management on Organizational Innovation. The study population consisted of 370 employees distributed over three companies representing the telecommunications sector in Jordan. An electronic questionnaire was distributed via (Google Forms) and shared by talent managers at Jordanian telecommunications companies, and 257 responses were valid for statistical analysis. After conducting a statistical analysis, the study reached the presence of a statistically significant effect of talent management has a statistically significant effect on Organizational Innovation in Jordanian Telecommunications companies. The study recommended giving attention to talent management, as it represents the first driver of all work activities.

This study investigates the impact of smart buildings on accounting and management controls. By analyzing the innovative building structures, this study will find out the accounting and management controls patterns and their solutions or help improve management control or reduce costs. Studying different articles for this study hardly find any relevant article or research paper on this study, but some documents are available on management and controls and intelligent buildings. So, the research gap of this study is that no investigation was done on this topic. As earlier, no research was done on this topic, so my analysis will be based on primary qualitative or exploratory research. Based on this, some previous papers will be analyzed and based on that information; thematic solutions will be provided.

Innovation and technology continue to be the driving force of growing economies. The need for constant change and improvement is driven by competing economies fueled by a more educated workforce and backed by proper governance structures. Dubai which has earned immense wealth in the petroleum industry is now venturing into these industries. Smart Dubai was open in 2000 as a smart city solution as an innovative initiative, large scale project for collaboration of private and public sector. These initiatives of Dubai Pulse which involves all stakeholders and entrepreneurs in accessing and sharing of data. It is having been touted for its analytical services. It will be instrumental to the future of uncovering Dubai from the veil of oil money. Dubai banks on technology and innovation particularly predictive and prescriptive analysis. The research study was conducted with the goals of analyzing the usage of both predictive and perspective analysis in the knowledge-based economy. The study also hopes to understand the value created through the use of predictive and perspective analysis in Smart Dubai and DEWA. The study raises conclusions on why the smart city project should be considered a success. Furthermore, there are areas that have been attributed to this success. The information was primarily collected through an interview with employees who heads the data analytics department at Smart Dubai and employees in the middle management level at DEWA. The feedback from the interviews were elaborate and thorough to the research being gathered. The interview was divided into three concerning knowledge-based economy, use of analytical tools and Dubai Pulse Initiative. The use of the interview arises from the fact that the subject of study needed to be informed by firsthand knowledge. However, this primary source was complemented by other secondary sources. The data from Smart Dubai and DEWA were analyzed to determine the opportunities that the use of the analytical tools will have along with the challenges and benchmarking with global successful cases. Then the recommendations part provides similar governments with the roadmap of how to implement the analytical tools and overcome the challenges.

Prediction of stock markets prices in a financial time series is very difficult and challenging task due to the nature characterized by dynamic, volatile, sentimental and chaotic behavior of the investors. The quantitative nature of data of the stocks gives a pace for the advanced simulation techniques, machine learning models a branch of Artificial intelligence learning process utilizes their predictive algorithms and forecasts the prices for future periods. With high productivity in the machine learning area applied to the prediction of financial market prices, objective methods are required for a consistent analysis of the most relevant existing literature on financial markets. Research revealed that most commonly used models for prediction of stocks are support vector machine (SVM) models and artificial neural networks (ANN). This research work is from the Mexican stock market with a comparison of SVM and ANN.

In the unprecedented situation of COVID-19, the global economy has turned upside down. This has led to sudden and unprecedented pressures on products demand and price forecasting. The study utilized regression techniques to predict product prices during and before COVID-19 using multiple influencing factors such as increase of COVID-19 positive cases on daily basis, number of deaths on a particular day, and government restrictions level. The data was gathered from worldometers website and combined with local store on sales based on the date. The results were eye opening as the product sold in the months of Mach, April, May and June 2020 were different than last year. This means the customers buying habits were totally altered due to many reasons such as job loss, wages reduction due to remote working, or promotions. Moreover, these products prices were directly proportional to increase of new COVID-19 cases, rise of daily deaths and government restriction levels imposed during the pandemic. The study uses machine learning data mining algorithms such as Logistic regression (LR), Decision Tree, Random Forest and K-Nearest Neighbor. Decision Tree and Random Forest works best in the pandemic situation to predict product price as compared to Logistic Regression and KNN. However, different outcomes were recorded when comparing the sales during pandemic and before pandemic.

Internet of Things (IoT) is a modern technology that allows devices to sense status and take suitable reactions without human interference; this leads machines to interact directly with another machine, called machine to machine (m2m) communication. Many network technologies were involved in making the IoT idea work well. Devices in IoT are connected through the wireless network. Thus, different protocols on different network layers are used in IoT. One of the primary routing protocols used on the application layer is Constrained Application Protocol (CoAP) which is a new web application transfer protocol. Where it is better suited to constrained environments than HTTP for IoT. In this study, Hermitian-based Cryptosystem (HBC) is applied on the CoAP protocol in order to increase the security of IoT. The Hermitian curve is an algebraic geometric curve capable of generating a vast number of points. Simulation results are presented, showing significant performance improvements of AG codes over Hermitian codes against Reed-Solomon (RS) codes and Elliptic Curve Cryptography (ECC). This study proved that HBC outperformed the RS and ECC in terms of several points and key length, which leads to increase security.

This research examined educators’ perceptions of the effectiveness of introducing artificial intelligence (A.I.) and expert systems into the curricula and teaching methods of higher educational institutions in the United Arab Emirates. Ninety-three faculty members in various departments of UAE colleges of education completed a questionnaire assessing the impacts of Artificial Intelligence on students’ creativity, problem-solving skills, data were analyzed to identify differences based on gender, educational qualification, and experience. The results of t-tests and ANOVA analysis revealed that participants had overall positive attitudes toward introducing A.I. and expert systems into the curricula and teaching methods. Although no differences were found based on gender or experience, statistically significant differences were associated with academic qualifications, whereby participants with master's degrees gave higher ratings than those with doctorates. Based on the findings, introducing A.I. and expert systems into higher education curricula and teaching methods is recommended.

Cybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past decade has increased exponentially. Cybercriminals and their attacking techniques have become increasingly sophisticated over the past couple of years. Conventional security measures will no longer be able to detect and mitigate the propagation of such advanced attacking trends. More and more hackers have started focusing on Small and medium-sized enterprises (SMEs) taking advantage of their limited resources. Therefore, SMEs will have to quickly adopt Artificial Intelligence (AI) based cybersecurity system in their infrastructure to defend themselves effectively and efficiently. It is currently forecasted that by 2021, 75% of all organizations will use AI and Machine learning (ML) applications in their security architecture to protect against all cyber threats. In this paper, the researchers identify the various challenges faced by SMEs in adopting an AI based cybersecurity due to their knowledge gap and lack of expertise. The researcher intends to provide a good background on AI, Cyber Threat Intelligence (CTI) and highlight some of the significant benefits provided by an AI based CTI system. A simple roadmap is developed using a qualitative research methodology to help SMEs effectively implement an AI based Cyber Threat Intelligent system in their infrastructure.

The growth of digital world has become so fast and the data volume turned to more composite in relations to size from terabyte and higher, the variation of data including structured, unstructured and hybrid, pace has gone so high in growth of data. This is called ‘Big Data’ as a worldwide phenomenon. Typically, this is measured as the collection of data from multiple sources has become so huge that it can’t be well exploited or maintained by using regular methods used for data management: e.g., RDBMS the conventional relational database management systems or search engines used conventionally. The experts have been working to solve handle these problems, the traditional relational database management systems are modified by precisely designed a set of substitutes DBMS’s; which are search based systems, New SQL and NoSQL. This goal of this study is to provide characteristics, classification and evaluation of database management system called NoSQL in Big Data Analytics. The study is planned to help people, specifically the companies to gain. The current computation power also falls less against the massive extended storage volume. The fast growth of unstructured data requires a complete model change for the new age to meet the incoming challenges and observe the progress of new proficient techniques for data engineering. The explanation of BigData, RDBMS and NoSQL have also been described in this study to put light on difference of data and requirement of new technology. This study will highlight the differences, capabilities of both RDBMS and NoSQL database management systems in accordance with BigData. With the help of qualitative and quantitative approach the study has emphasized on the limitation of RDBMS and requirement of new technology NoSQL used for unstructured BigData used for analytics.

The Smart City is the most complete and covered framework that meets the need of different project facets related to the smart city. It allows the cities to use the urban network and raise their economic power, unique solutions of technology, and build the most efficient systems. Smart City is the advanced developmental product of the smart economy and information technology. It relies upon wireless networking, broadcast networking, internet mesh networking, telecommunication network, and the end-to-end sensor network in which the Internet of Things (IoT) is the core. The IoT serves as the core for integrating the wide variety of sensors in each day's objects and interconnects the sensors through the internet using specific protocols for exchanging the communications and information that lead to location tracking, management, monitoring, and intelligent achievement recognition. It not only supports one city but also interconnects it with the other smart cities. This paper aims to explore the use of IoT-based machine learning approaches that help develop a smart city.

As these tech-based cities continue to emerge, so do the experts dive deeper into the research on the various Internet of Things methods, and the most plausible machine learning techniques. What is Machine Learning? What role does it play in IoT-based platforms? How does it contribute to the continuous advancement of smart cities? What is IoT? How has it changed the lives of urban households residing in smart cities? How does IoT interact with machine learning to ensure more efficient cities? This research paper delves into the various existing literature in a bid to respond to these questions as effectively as possible. It looks the research that have handled issues of IoT and machine learning. The search criteria are set out in the methodology section that has inclusion and exclusion criteria for the articles considered in this paper. There is systematic evidence showing that IOT and machine learning can be used for the management of the future cities. The results suggest that IoT and machine learning are at the core of the development, maintenance, and sustainability of smart cities. Further studies are required on how IOT can be securely used by analysis some of the security vulnerabilities faced by these systems.

Security threats in the Smart City Systems are becoming a challenge. These Smart City Systems, generating Big Data, are a revolutionizing application of the Internet of Things(IoT). Data Stream Mining, which is an efficient way of handling Big Data, is now of great concern. The acquired information is computationally expensive to process in terms of efficiency and runtime. Detection of suspicious activities on decentralized servers, generating and computing massive data streams requires time. Moreover, several stakeholders should be engaged to train the heterogenous malware data streams in the level of service application. Small experiments can be performed on the functionality of Batch ML on IoT datasets with available heap size resources. Among these candidate datasets, a little contribution has been already represented on the Mirai Attack. This research aims at the study of Data Stream Mining algorithms. Owing to the accuracy and interferences of the measurement, these algorithms are able to handle the non-hierarchical and unbalanced datasets similar to the Mirai Attacks. No single method can solely improve these critical standpoints. Thus, an Ensemble technique should be implemented. According to our study, a pool of meta or selective classifiers that interact based on the temporal Data Mining swiftly can outperform others. The maintainability and security concerns of such applications can be best fulfilled in meta-heuristics with the one-time scanning network approach for the recognition of the most frequent attacking pattern with the on-the-fly scheme. These are implemented in Create, Read, Update and Delete (CRUD) operations of the Big Data Systems.

Nowadays, protecting communication and information for Internet of Things (IOT) has emerged as a critical challenge. Existing systems use firewalls to ensure that they are safe from any unexpected occurrences that may disrupt the desired systems and applications. Intrusion detection systems (IDSs) are an acceptable second line of defence for IOT applications. IDS play a crucial role ensuring that it enhances the IOT security level maintaining sophisticated framework. Attackers have continuously been attempting to determine novel ways to circumnavigate security frameworks that prevent the structures. This paper reviews the security advances, threats and countermeasures for the IOT applications. A state of art review has accomplished using the references from 2009 to 2020 to encompass the real demography of the IOT security research data. This work also highlights the deep learning-based intrusion detection approaches for Internet of Things (IOT) security. With the systematic literature review approach, the review suggests that implementing existing security measures, such as encryption, authentication, access control, network and application security for IoT systems and their intrinsic amenability is ineffective for the IOT systems.

In the current pandemic scenario, healthcare data tends to be an important asset among organizations. The major challenge is to handle the data effectively while maintaining the privacy and security of the data. In a real-world, context healthcare data proves to be heterogeneous. Hence, managing such significance to big data has ardently laid numerous challenges among researchers and scientists around the globe. Cloud environment and blockchain technology can be discussed as usable platforms which can deliver a comprehensive centralized data privacy system. In the current approach study, we have integrated both technologies to provide usability in medical systems. Further, we have also proposed and implemented a blockchain application with an integrated cloud-based environment regarding heterogeneous medical databases. The study is proposed in 2 phases to maintain the privacy and the accessibility of the data. The double-spending problem is also presented, as mentioned above, using Blockchain’s consensus process. Each network node independently verifies the validity of individual transactions and entire blocks. As a result, there is no need to put faith in a single entity or other nodes. As a result, third parties are no longer required for network actions or blockchain management.

The purpose of this project was to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency.

In this study, it is wanted to implement Naïve Bayes data mining techniques on a dataset gained from digitized Image of fine needle aspirate (or FNA) belonged to benign and malignant type of breast tumors. One of the most important factors causing cancers in the females, which can be measured from sample after maintaining in several hours’ laboratory sample preparation at certain condition. As an alternative, Image processing can be substituted by measuring the geometrical features of FNA are well adopted economically and efficiently.

One of the highest shares of data-driven technology of health sector happens for private insurance stakeholders. It is therefore clear that private insurance companies can only survive being competitive in covering different medical stages such as surgery, intervention and other clinical trials in a high-risk environment. Estimation of expected costs and coverage is also important for both patient and insurer. In this case study we as a Data Mining and Artificial Business consultant want to explore different techniques of data mining to find out business risks for patients. We have asked the insurer to provide us a sizable medical history to watch those features. We would like to predict if given biographical profile of the patient along with exam results can predict CVD so he can cover his costs with this Insurer. On the other hand, in case of higher error of misclassified CVD what kind of decision should be taken by risk holder and insurer. Which one of these attributes causing this cost and what other stakeholders like target group of patients can be suffered from the loss? The ultimate goal is to develop a model that can predict the gap between those patients’ perception of their disease and their real disease. This can further help stakeholders to develop specific insurance policy.

The purpose of this study is to investigate how artificial intelligence can mitigate unknown-unknown risks, taking COVID-19 as a case. The utilization of this technology has helped with the risk management and mitigations process by providing efficient solutions. Today, the artificial intelligence of applications plays a critical role in containing the fast spread of COVID-19 virus and reducing the number of infected individuals. This research will explore how countries around the world have benefited from contact tracing applications. The research discussed the UAE Alhosn application compared to the applications developed by China, Australia, Thailand, France, South Korea to identify the best features and better utilization of AI technology in the applications. In addition, a mixed-method approach used in this research, and a combination of a qualitative and a quantitative approach to make a clear understanding of the topic and find out accurate results. For qualitative research, interviews were conducted with five people from different companies in the UAE. For quantitative research, ten questions survey was sent to a sample of 50 random respondents who are the users of Alhosn application. Domain analysis was used to organize the ideas and to generate other ideas. The research will also gather secondary data based on reviews of literature related to the research topic. Based on the gathered information and research results recommendations were given.

Artificial intelligence (AI) is a potentially powerful tool to mitigate the unknown unknown risk. Unknown-Unknown risks are unknown risks and accordingly unknown consequences. This research’s objective is investigating the impact of AI on mitigating unknown unknown risk. For all six cases analyzed, it was possible to extract that unknown risk is hard to be reported in advance. Therefore, since the outbreak of the Coronavirus COVID-19, organizations have been eager to use AI in response to the consequences caused by this pandemic. As a result, AI played a significant role in rapid response, decision-making, early prediction, automated processes, and detection and tracking. This means AI has the potential to be used as a solution to mitigate the post event impacts and study the patterns for future prediction.

Technological advancement has exposed companies to various risks. With the adoption of technological infrastructures in many companies, various processes have been rendered vulnerable to different forms of threats. Evidence from the current empirical studies on organizational management indicates effective risk assessment is a crucial aspect in any organization. Global technological advancement has equally redefined risk assessment and management strategies. Global leading technology companies such as Apple Inc., Amazon Inc., and Google are leveraging modern technology to unlock hidden data to aid in risk assessment and management. As evidenced in this research report, the use of big data has revolutionized risk assessment in many companies across the world. Big data technology has enabled organizations to collect, store, and assess huge information to aid in risk assessment and management. The processes of risk identification, assessment, mitigation, monitoring, and reporting have been redefined due to the adoption of big data analytical technology. As a result, this research reviews the specific roles played by big data in organizational risks management. The research carries out a comparative case study analysis among three companies that utilize big data in risk management. Specifically, the roles of big data technology in risk management at Apple Inc., Amazon Inc., and at Google are identified. Results from this comparative analysis are used in formulating recommendations for various organizations that desire to adopt big data analytical technology in risk management.

This descriptive study determines the level of customers’ and visitors’ awareness regarding the green marketing mix activities and applications in green five-stars hotels in Jordan. The study population consisted of the visitors of 16 green labeled five-stars hotels in Jordanian cities and tourism locations (Amman, Dead Sea, Petra and Aqaba). Non-random (purposive) sample was used to collect data and a structured questionnaire was distributed to (460) hotel customers, (412) of which were retrieved and (367) were valid for analysis with a response rate of (79.78%). A set of statistical methods were used through the (SPSS v23) program and results showed only two of the dimensions of green marketing mix had a high level of customer awareness. These dimensions were green product and green price. The overall level of customers’ environmental concern was moderate along with the rest of the green marketing dimensions (promotion, place, process, people, and physical evidence). Based on results, it is recommended that hotel managers and marketers carefully design their business and marketing plans to truly develop credible green hotel image, avoid misrepresentation and green washing, and encourage customers to participate in protecting the environment.

The study determines the level of patients’ and visitors’ perception of social responsibility in private hospitals in Greater Amman. The population of the study consisted of all patients and visitors of private hospitals in Greater Amman. The sample of the study consisted of patients and visitors of three private hospitals (Jordan Hospital, Istishari Hospital, AlKhalidi Hospital),100 patients and visitors from each hospital, the total number of patients and visitors are three hundred. Those patients and visitors are randomly selected, three hundred questionnaires were distributed by hand, out of them 210 questionnaires are returned complete with a response rate of 70%. This study identifies to managers and decision-makers in private hospitals that to which extent the patients and visitors of private hospitals perceive their social responsibility programs and consequently encourages them to develop successful social responsibility programs which compatible with customer's perceptions and preferences. The results show that all dimensions of social responsibility are moderately perceived by patients and visitors of private hospitals in Greater Amman.

This Study aims to investigate the determinants of brand loyalty (Customer satisfaction, Price sensitivity and word of mouth) affecting tourists’ choice of five stars hotels on Jordan. The population of the study consisted of people who frequent select these hotels to stay. The researcher study data were collected using the non-random sampling method, where (400) questionnaires were distributed to people who visited five-star hotels in Amman, Aqaba and the Dead Sea. To achieve the objective of the study, and to test hypotheses, the researcher used statistical program of social Sciences (SPSS) and (AMOS). The study results revealed that there is a statistical significant impact of brand loyalty determinants on tourists’ choice in five stars hotel in Jordan, based on the study results the researchers recommends managers and decision makers should provide a superior service quality also training the staff and every person who would contact the tourists, finally they should undertake promotional and informational marketing activities. Thus, the guest has wonderful experience which will ultimately lead customer to be loyalty to the brand and repeat their visits to the same hotel.

This Study aims to investigate the impact of using branded mobile applications on customer loyalty. The population of the study consisted of all users of Pharmacy One’s mobile application in Jordan. The researcher used the purposive sampling by taking 2035 active users of the on-line applications from 70,251 downloader; 500 questionnaires were distributed randomly. To achieve the objective of the study, and to test hypotheses, the researcher used statistical program of social studies (SPSS) & (AMOS). The study results revealed that there is a statistically effect of using branded mobile applications on customer loyalty, based on the study results the researcher recommends managers and decision makers to improving the system of customer services in order to improve their loyalty, by reviewing the system after receiving feedback from customers through mobile applications. Also enhancing the quality of system information by ensuring that the content is relevant to customer requirements. and improving the perceived quality of the customer by identifying the expectations of the customers and seeking to achieve these expectations, so that the gap between what they expect and what they actually get.

The study aimed at identifying the impact of internal marketing practices on the intention to stay in commercial banks in Jordan. The internal marketing practices represented by (empowerment, training programs, incentives and rewards, internal communication and administrative support). The study population consists of employees of Commercial Banks in the northern region of Jordan; a sample was taken from the study population. The questionnaire was distributed to 550 of study samples, 521 were valid for statistical analysis. To achieve the objectives of the study and test hypotheses statistical analysis programs (IBM SPSS 24) and (SMARTPSLS, v. 3.2.6) were used. The study found that there is a statistically significant effect of internal marketing practices on Intention to stay in commercial banks in Jordan. Based on the study results, the researcher recommended the managers and decision makers in the commercial banks in Jordan to emphasize the importance of job commitment, which generates the desire of employees to maintain their membership in the banks and their willingness to pursue organizational goals and accept their values and objectives.

This study aimed to identify the impact of electronic marketing on customer satisfaction of the insurance companies in Jordan, the researchers relied on the quantitative approach by the descriptive analytical method, A questionnaire was developed and distributed to (440) clients of insurance companies affiliated with the Jordanian Federation of Insurance Companies, which numbered (22) companies in Jordan. The study reached several results, the most important of which are: There is an impact of e-marketing on customer satisfaction, and the study concluded a number of recommendations, including: A focus on their website to be designed in an easy-to-use way and to provide all the required information about the company that pertain to the customer and the requirements of his transactions, leading to its progression more and more instead of regressing.

The electric commerce (e-commerce) platform in Malaysia has been growing exponentially since the spread of Coronavirus Disease 2019 (COVID-19) pandemic. Many local businesses were badly affected when the first phase of Movement Control Order (MCO) was implemented for several weeks. The increasing number of social media platform users stems from wide internet accessibility and smartphone ownership. As such, this study investigated online purchasing behaviour in Malaysia by linking webrooming and user generated content (UGC) with brand experience and brand engagement. Essentially, this study unravelled consumer purchasing behaviour during the COVID-19 pandemic. This study explored the effects of UGC and webrooming on brand experience and brand engagement among Malaysian online consumers who purchased beauty product. As a result, UGC and webrooming displayed positive correlation with brand experience. However, brand experience was insignificant for brand engagement. Additionally, brand experience was unsuitable to function as a mediator. Thus, the impact of social influencers and shoppertainment on brand engagement should be assessed. Future studies may look into webrooming from the light of Stimulus-Organism-Response (SOR) Theory. Lastly, fake reviews, fake accounts, and bots that influence online purchasing behaviour among Malaysians should be investigated as well.

This study is one of the very few studies investigating the aerospace manufacturing industries hit severely by the coronavirus (COVID-19) pandemic, focusing on one of Malaysia's aerospace players. In addition, this study emphasises how an action is engaged to minimise or overcome the impact and effectiveness of strategic moves. PLS-SEM method is used to analyse data gathered from a survey. 30 leadership and executives have been chosen in this survey. Through a comprehensive literature study and survey, this paper presents a guide that illustrates general concepts and processes execution, allowing strategic management personnel to comprehend their market position and identify their long-term objectives. It is an approach to sustained competitive advantages by deliberate internal and external influences towards the change that scribe the marketplace competitive advantage landscape.

Globally, reverse logistics is gaining traction due to increased awareness and as a result of resource depletion and climate deterioration. Firms have obstacles implementing reverse logistics from a variety of stakeholders, both internal and external. This study covers a quantitative research method. The target respondents of this study are small and medium enterprises facing barriers to reverse logistic implementation. In this research, the number of respondents is 113 out of a sample size of 81. The collection method is carried out through an email questionnaire. Considering the nature of the study, SPSS version 23 is used to analyse the quantitative data. As a reminder to researchers, future research initiatives may expand this model to include different types of businesses and industries, as well as a broader demographic, which will have an effect on reverse logistics implementation.

Customer loyalty is the performance index that is being inspired by many companies to ensure their businesses are profitable, sustainable competitive, expandable, and practical in the current era. On a similar note, customer satisfaction plays a big role as indicators to connect the customer to a company in which expressed their experiences and values owning a brand new car from a company. Derived from customer satisfaction leads to customer loyalty which is a customer is likely loyal to a brand and inspired to buy a new car from the same brand. Competitive advantages are the key factors that contribute to customer satisfaction and customer loyalty. One of the challenges is related to market uniqueness in which a company required special strategies to offer a product that suits the demographic of the customer which will have a significant impact on the competitive advantages for a company. The research is to examine the correlation of competitive advantages towards customer loyalty specifically in Malaysian automotive industries. This correlation study will utilize quantitative methodology and the data will be analyzed and interpreted through IBM SPSS. As a note to research scholars and future research undertaking, this research can be used as guidance to other automotive brands either national or non-national segments.

Consumer behaviours are largely regulated by multiple factors from need recognition to search for products that would satisfy their requirements. The study in context to car purchase behaviour among the Malaysian consumer highlights increased car buying trends among the Malaysian consumers during the pandemic. Social distancing along with prohibiting the usage of public transport has increased difficulties of consumers thereby resulting in an increased tendency to opt for personal cars. Products features such as fuel consumption, reliability, comfort and performance that provide value and upgraded functionality plays a big role in purchase decision-making. Derived from the the product features leads to brand trust and inspired the decision to buy from the same brand. Affordable and acceptable ownership costs and the consequence purchase power plays important factors in influencing car purchase decision. Higher income people favouring more expensive cars and the subsequent high ownership costs. At the same time, social needs during the pandemic situation has prohibited individuals from close contacts and gatherings that further requires the consumers to purchase cars. COVID-19 pandemic that was known to be airborne and transmittable diseases had truly fundamental impact on purchase decision especially for car buyers. The research examine the correlation of consumer behaviour towards purchase decision specifically in Malaysian context. This research can be used as guidance to map the consumer behavior while providing future and practical insights for carmakers towards reviving car industry that being one of the hardest hit by the pandemic.

The main objective of this research is to investigate the environmental forces influencing perceived acceptance of COVID-19 vaccination. Also, to investigate the moderating role of social Responsibility. The research independent variables consist of environmental forces (economic, political/legal, and social), the dependent variable is represented by perceived acceptance of COVID-19 vaccination. A quantitative method was using cross-sectional online research questionnaire to collect the primary data. A sample of (N = 2084) respondents who follow the social media platforms were selected. Therefore, a stratified simple random method was used in this research. The result shows a positive influence of political/legal and social on perceived acceptance of COVID-19 vaccination. In contrast, there is no influence of economic factor on perceived acceptance of COVID-19 vaccination. The research results are beneficial for formulating an effective polices and strategies for vaccination in Jordanian health market. The current research result recommends that Jordanian FDA and MOH, nationally authorized of COVID-19 vaccines, employer powerful force and recommendations, friends and family, and positive words of mouth can all play an important role for vaccination acceptance and increase the percentages of Jordanian citizen to be vaccinated which was consistent with previous studies. The current research reflected the positive role of political/legal and social factors on perceived acceptance of COVID-19 vaccination among Jordanian people. Also, the research outcomes are beneficial for formulating an effective polices and strategies for vaccination in Jordanian health market.

This study aims to track the events that affected tourism in Jordan and presents the evolution of tourist inflows and outflows linked to these events. Accordingly, the Ebb and Flow Theory in the service industry is created and discussed. Many terminologies were used in the tourism industry to clarify the incoming and outgoing tourism movement, such as “peak period and recession period”, “high–shoulder and low-shoulder”, “high-season and low-season”, and others. This study sheds light on a new insight that accurately and clearly describes what is happening in the tourism, hospitality, and events industry. It describes the period of prosperity and development in the tourism movement as the Flow, and the period of stagnation and confinement in the global tourist movement as the Ebb. Also, the fluctuation between these two periods is called solstice time. Understanding these periods helps organizations develop their strategies, achieve the desired benefit, improve and innovate in providing optimal service.

The aims of this study are multifold: to explore the functionality of hotel websites by performing a content review and to evaluate customer opinions on the value of the design of hotel websites. To perform the study, hotel websites were used to include numerical and visual information. Information providers are assessed by an evaluation of their particular and comprehensive expertise measurements. The research is based on two significant aspects: a report on all 37 five-star hotels in Jordan that examines their website layout in terms of population, and a survey of 100 hotel clients to determine how clients interpret hotel websites. This planned study is the first of its sort, seeking to determine an appraisal method for all hotel measurements provided by hotel websites. The findings are as follows: When value T = 7.519 reflects the results of the independent variable (marketing orientation), the coefficient of simple linear regression has statistical significance (Customer Orientation). The fact that “Aqaba Zone Advertising and Customer Orientation Classified Hotels have a statistically significant influence on their categorization” is acknowledged, as “Aqaba Zone Advertising and Customer Orientation Classified Hotels have a substantial impact on the coefficient of simple linear regression equation (0.605)”. As a result, hotel management may utilize a particular predictive evaluation model to analyze the websites of their hotels from a two-sided perspective: the management team and the consumers. This analysis brings together claims from both perspectives for the first time (hotel managers and clients).

The COVID-19 pandemic has impacted the world in an unpredictable way, affecting economic, socio-cultural, political, environmental statuses and billions regardless of privilege and wealth. Vaccines were developed quickly, for protection against the Coronavirus, as well as to curb the pandemic. This study aimed to (1) compare awareness about risks and benefits of getting vaccinated against COVID-19, (2) compare the confidence in usage of vaccines for protection against the COVID-19 (3) determine the association between awareness about risks and benefits of the COVID-19 vaccine and confidence in getting it among selected undergraduate students in the Faculty of Health Sciences in Malaysia, Pakistan and UAE. A quantitative cross-sectional study was carried out using an online validated questionnaire with a 3-point Likert scale, which consisted of three domains, namely sociodemographic, awareness on risks and benefits of the vaccine, and confidence in getting the vaccine. Subjects were Faculty of Health Sciences’ undergraduate students from three institutions; one each in Malaysia, Pakistan and UAE, that were recruited through non-probability sampling techniques; convenience and snowball sampling. The subjects’ obtained scores on awareness and confidence from each country were averaged, and then compared between the countries using One-Way-ANOVA. Pearson’s correlation was used to determine the association between awareness and confidence of the students. All data were analyzed using SPSS version 27.0. A number of 405 students from the three countries; Malaysia (142), Pakistan (124) and UAE (139) participated in this study. One-Way-ANOVA showed that students in Pakistan scored the highest mean awareness with a 1.55 ± 0.23 score, followed by UAE (1.53 ± 0.29) and Malaysia (1.49 ± 0.19). For confidence, students in Malaysia scored the highest mean confidence with a 1.25 ± 0.25 score, followed by Pakistan (1.24 ± 0.31) and UAE (1.20 ± 0.23). Pearson’s correlation showed that there was a statistically significant association (p < 0.001, r = 0.442) between the students’ awareness (1.52 ± 0.24) and confidence (1.23 ± 0.26) of getting COVID-19 vaccines. The study found that students in Pakistan had the highest awareness, followed by UAE and Malaysia. Whereas students in Malaysia had the highest confidence followed by Pakistan and UAE. There was a significant association found between the students’ awareness regarding the benefits and risks of COVID-19 vaccines and their confidence in getting it.

This study aims to model and enhance the forecasting accuracy of cryptocurrency market data patterns using the daily bitcoin (BTC) close price data with 1535 observations from December 2017 to January 2022. The model employs a nonlinear spectral model of maximum overlapping discrete wavelet transform (MODWT) with Haar mathematical functions in conjunction with an adaptive network-based fuzzy inference system (ANFIS). We have selected the logarithm volume of bitcoin (LV) and logarithm trade count (LCT) as input values according to correlation and multiple regressions. The input and output variables have been collected from the cryptocurrency market. The performance of the proposed model (MODWT-Haar-ANFIS) is compared with traditional models that are the autoregressive integrated moving average (ARIMA) model and the ANFIS model. The obtained results show that the performance of MODWT-Haar-ANFIS is better than that of the traditional models. Therefore, the proposed forecasting model is a promising approach that capable of deploying in the cryptocurrency markets.

The consumer spectrum consists of a wide range, including the affluent, middle-income, and low-income. This consumer shows different behaviors or motivations towards choosing clothes. We want to develop a framework for a Sale Recommendation System. These expert System can be helpful for sale persons, fashion designer, promoter, brand manager as well as sponsor of Recommendation System. The study implemented the Data Science approach and techniques to see how reliable Recommendation Systems are and in our selected dataset we have applied different modelling techniques such as KNN, SVM, Bayes Naïve and Decision Tree and fond the NB as the most suitable and practical method of modelling in regard to the accuracy, recall and runtime.

The study conducts an empirical analysis of the relationship between total quality management (TQM) practices, with the organizational culture (OC) Cameron and Quinn (Diagnosing and changing organizational culture: Based on the competing values framework, John Wiley & Sons, 2011) model which was divided into four dimensions: leadership supportive, customer focus, strategic planning, and workforce focus. In addition, the study evaluates the mediating role of strategic change (SCH), between organizational culture (OC) and total quality management (TQM). The study uses data obtained from a survey of 341 respondents by using google form online from the employees of the Emirates Post Group (EPG), which is considered as one of the government-owned agencies that controls the logistics business in the UAE, Dubai. The result of the study revealed that strategic change has a direct impact on the TQM practices. In addition to that, the strategic change can be explained as a partial mediator in the relationship between organizational culture variables and TQM practices. It also found that there is a positive and significant effect of organizational culture on strategic change. This study makes a novel contribution by offering a detailed and deeper understanding of the relationship between Organizational culture, strategic change, and total quality management. According to the results, the study recommended that future studies might investigate if other possible mediating variables may also mediate whatever totally or partially the effect of the relationship between TQM and organizational culture.

The industrial environment is unpredictably shifting. Technology advancements and pandemics force the corporate environment to evolve even faster in order to stay competitive and thrive. As a result, in today's fast-paced business environment, supply chain management has grown in popularity. The study's major goal is to apply the concept of industrial supply chain management to educational management. The empirical study will be conducted separately and do not cover in this paper. In dynamic and uncertain business operations, the educational model is more appropriate to switch from mass production delivery to industrial experiences in building individual talent excellence. This minimizes the educator's knowledge and experiences delivery gap to the learner in the educational supply chain. From the issues, This study identifies the education attributes and how it affects professional development success. This study further investigates the moderating effect of industrial experiences on the relationship between education attributes and professional development success. Besides, this study aims to propose an educational supply chain model (EduSCM) for 21st-century professional development success in Malaysia higher education to gain competitive advantages. To achieve the objectives, mixed methods research design is proposed. The qualitative data collection will be collected after the completion of quantitative data analysis. The data collected from the interview use to explain, interpret, understand, and triangulate the results of quantitative analysis to produce a potent conclusion. Lastly, this study will provide a unique conceptual diagram expected to aid researchers and practitioners to create a more comprehensive understanding of the linkages between learning competencies, industrial experiences, and professional development.

When we talk about Machinery Vision and Deep Learning, we often talk about algorithms. In fact, mathematical models with computer knowledge are the basis of how we deal with graphical data to process the Image and make decision. Machine learning can play an important role in determining agricultural plant type in order to optimize the harvesting steps in an automated way. How to process and introduce the products to the market often requires detailed information about the stages of planting and harvesting. In addition, by using this method, sophisticated research can be designed in plant genetics and effect of environmental variables on the end product. The ultimate goal of this work is to use Linear Discrimination Analysis for the Image Processing and classification of harvested wheat grain which are belonged to different types of grain namely Rosa, Kama and Canadian. The above discovery has proved with the statistics to have with more than 94% of accuracy.

This research aims to focus on pricing, policies and their impact on customer satisfaction in the five-star hotels in Aqaba. The technique that was used in the present research is described in this section. There are many components of this document: the research model, operational definitions of the study’s independent and dependent variables, research hypotheses, as well as a data collection instrument, research population, and research sample. The components of this study are developed on the basis of prior literature, which may be either theoretical or empirical in nature. Indeed, the factors utilized in this research are often found in the literature on tourist development. The data analysis results have shown that services in restaurants in Aqaba hotels are applied at a very high level, which the mean score is 4.38. Also, customer satisfaction and pricing cognition (pricing) existed on a high base with mean of 3.86 and 3.74 respectively. Specifically, the research seeks to develop price policies for all categories and to work on the design of all pricing criteria to fit the quality of service and the degree of customer satisfaction, which shows that a high level of customer satisfaction may be achieved.

This study aimed to identify the impact of COVID-19 on oil sector which faced the significant challenges, globally and in Saudi Arabia. The study sheds light on the unprecedented crisis that occurred in the decline in demand for oil and the collapse of its prices, and its effects and consequences on world economies and Arab economies, and the extent to which the Saudi economy has been affected by them in light of what markets have witnessed global oil, and opportunities to benefit from this crisis and the study relied on the descriptive and analytical methodology. The study paper will use the NARDL to explain the asymmetric effect of changes in oil price on Government Budget for Saudi Arabia. The study reached that this situation provides a further opportunity for Saudi Arabia to diversify the economy away from a reliance on oil, Government policies seek to facing these challenges by diversifying the economic base and developing and diversifying revenues non-oil products to reduce financial volatility, in addition to enhancing the role of the private sector focusing on supporting non-oil GDP growth rates to enhance the resilience of the economy.

The internet of things (IoT) is a widely used technology in day-to-day life and in many business fields. the applications of IoT are used in many businesses and in marketing as main part of business activities, but during the coronavirus pandemic, IoT was intensively used, as a practical solution to many challenges. In this paper, the use of IoT is discussed generally in business such as in supply chain and logistics, human resources management, and in organizational performance. The paper will also tackle the use of IoT in both marketing and business activities and finally discussing some of the limitations and challenges businesses face when implementing IoT.

This study examines the antecedents of workplace happiness and how the later impact the employees’ performances and their levels of creativity. Based on our literature review, researcher identified four main potential drivers of workplace happiness, namely, leadership style, work environment, compensation and opportunities for learning and personal development.