Digitalisation: Opportunities and Challenges for Business

Building Information Modeling (BIM) has become more relevant to the construction industry in recent years due to almost all of the biggest industries use BIM as a tool to improve the integration process and risk management. Although there is significant literature on risk management and BIM, the relationship between both of them has not been covered in previous research. This study provides a thorough explanation of the relationship between the interaction with risk management and BIM, as well as how it has evolved. Following a screening procedure, 190 peer-reviewed papers were pulled from the Scopus database. Findings showed that the introduction of risk management into BIM is still in an incipient phase within the construction project management body of knowledge. Overall, three developed nations—the USA (with 30 documents), Australia (21) and China (21)—have steered this research agenda, while a developing country—Malaysia (17)—is an outsider gaining relevance as the fourth contributor to this topic. Five clusters were identified by the network representation, these clusters include risk and project management areas that constitute the research paths to be advanced in the next few years.

The study is carried out to find out preferences for food items in Bangalore’s urban Population. The study focuses on the purchasing choices of the population varying between fortified and non-fortified food items. Primary data is collected from male and female respondents of various age groups, belonging to various professional backgrounds. The study aimed to find out connect between preferences for fortified food and professional backgrounds. Additionally, data is collected and divided into various age groups to further understand age-related preferences for fortified food. Convenience sampling is used for data collection. Data are analysed using statistical techniques. Results showed a connection between professional backgrounds and a preference for fortified food.

Covid-19 is reported to have originated in Wuhan, China in December 2019. It slowly spread through the world causing global health problems. Having a high transmission rate the infection spread across the population affecting the most vulnerable. The worst affected world is those who had high-risk factors such as age hypertension, diabetes, chronic respiratory diseases, cancer, cardiovascular diseases and the like. Patients with end-stage renal disease were hit hard. These patients world vulnerable to covid-19 they are older and also have comorbidity. Their immune system is weak which makes them more vulnerable to infection. Moreover, patients with end-stage kidney disease need to visit the dialysis centres three times a week for around 4 h. Exposure to the dialysis centre made them more exposed to the infection. Many patients are treated simultaneously at these dialysis centres. The non-availability of an antiviral drug for covid-19 it makes more important to prevent the disease. The infection can be prevented by limiting exposure to the infected areas. Many guidelines have been issued by various bodies for the prevention and containment of the disease in these hemodialysis centres. European dialysis working group has published guidelines to prevent the spread of infection in hemodialysis centres. Despite the availability of vaccines, the immune system in the patient having end-stage kidney failure diseases responds poorly to the vaccine. Poor Immunity of dialysis Patients and the emergence of a variant of SARS-COV-19 calls for a booster dose in all the patients undergoing dialysis. Due to Covid-19 stress levels and anxiety levels among the patients increased. However, not much information is available on the mental health of the patients undergoing Haemodialysis during the Pandemic. This study is carried out to study the economic impact of the COVID-19 outbreak on patients undergoing haemodialysis in the city of Bengaluru, India.

The article examines the modern investment policy of Ukraine, as well as the regulation of investment activity. Such an important issue as the state’s guarantee of investment protection regardless of the forms of ownership, as well as foreign investment, is indicated. Illuminated ways of regulating the conditions of investment activities. Some types of financial are considered investment and their regulation by the state.Currently, there are not enough investment tools in Ukraine. Recently popular methods of saving money either no longer work properly (deposits), or are too expensive for the majority of the population (real estate), or are little known (US stocks). Today, the process of investing in foreign shares is quite complicated, and therefore inaccessible to a wide range of consumers. In addition, the threshold for entering international investment markets is too high for the average Ukrainian.Measures are certain on the increase of interest of investors to the fund market of Ukraine. The analysis of above all tasks of development of internal imperious investors is conducted.Article reveals the essence of investments, the main ways of attracting capital, the main measures to stimulate investment. In macroeconomic policy, emphasis is placed on creating prerequisites for investment growth – weakening inflation, ensuring optimal interest rates on deposits and investments, reducing interest rates on loans, etc.

This study aims to analyze the efforts made by the management of the core capital bank group 1 (KBMI 1) in Indonesia to increase the bank’s core capital. OJK Regulation Number 12/POJK.03/2020 concerning Consolidation of Commercial Banks in Indonesia stipulates a minimum bank core capital of IDR 3 trillion as of December 31, 2022. There are 30 commercial banks with core capital below IDR 3 trillion in 2021. This study uses the CAMEL and RGEC methods to analyze the bank’s health. The study results indicate that banks with a soundness predicate will easily attract investors, while banks with a relatively soundness and unsoundness predicate must work harder to ensure that core capital is met. The bank cannot meet the OJK provisions and will be downgraded to a BPR or BPRS. Efforts to increase capital can be made by offering to the parent company, not the parent company, and looking for investors. Companies already listed on the stock exchange can issue new shares or rights issues.

An urgent problem is the search for indicators of development for various sectors of the economy and the study of their volatility at individual phases of the economic cycle, as well as the determination of the most suitable for detecting the impact of cycles of different depth and duration. The article examines the performance indicators of the construction sector of Ukraine in 2003–2022, namely: Changing the value of 1 sq.m of housing, Shareholders Equity ratio, Current ratio and Long-term Debt to equity. Cyclical fluctuations of the specified indicators during the studied period were revealed, which coincide with the cycles of Kitchin J. and Juglar C. Changing the physical volume of GDP was also investigated. Fluctuations of the mentioned indicator also have signs of cyclicity.The gradual decrease in the financial stability of the sector was the result of the fact that the equity capital of construction companies has been steadily decreasing since 2002 and has been close to zero for the last few years. This happened thanks to the unprofitability of the sector’s enterprises almost throughout the analyzed period, with the exception of the last few years.In moments of reduced business activity in the country and in the industry, the financial stability of the sector increases, which can act as a kind of lever for market stabilization of crisis phenomena.

This study explores conditional conservatism (CC) in listed Islamic banks (IB) during the COVID-19 pandemic. The author collects data manually over the period from 2019 to 2020. In order to capture CC, the author uses the C_score measurement in the main model. As predicted, the author finds an increase in CC level within IB during the COVID-19 pandemic. This finding enriches the current literature on CC, IB, and the economic outcomes of the COVID-19 pandemic. On the other hand, decision-makers (investors, creditors, etc.) can benefit from the governance role of CC experienced in IB during crises such as the COVID-19 pandemic.

This study aims to assess corporate zakat payment during the Covid-19 Pandemic Period. This is intriguing due to the fact that Covid-19 caused lockdown, recession, and financial crisis that could affect the company. Unlike business activities and performance which are significantly affected by locked down policies due to the Covid 19 Pandemic charitable activities including Corporate Zakat exhibit a more positive resilient response to continuously support those in need and affected by covid 19 during the pandemic period. This study employs a qualitative method based on the data provided. The outcome indicates that Covid-19 pandemic period had no impact on corporate zakat payment, as some businesses continued to pay zakat during the pandemic. This demonstrates that Covid-19 had no direct impact on zakat payments made by corporations.

Waqf has historically been a vital institution in Islam in fulfilling religious needs and improving social welfare. Its effectiveness in medieval and modern Islam is evident. However, this institution is seemingly not without inefficiencies. Public trust and contributions are also low due to the opacity of the accounting and accountability system. Scholars have proposed adopting the blockchain technology to mitigate these issues. The implementation of the blockchain technology is to provide a solution for waqf organisations towards offering transparency to their donors and building trust to gain more support towards the waqf organisation’s mission and work. The blockchain technology manages information within the waqf system by enhancing the aspects of transparency and reliability in how funds are collected, managed, and distributed. This study has two objectives: first, to look into the technological role of blockchain in managing waqf assets in ensuring the most efficient way of financing waqf projects. Second, this research is aimed at exploring and understanding the blockchain technology regarding the issues of trust and accountability in waqf organisations in Malaysia. The study methods consisted of content analysis and an interview. The content analysis focused on publicly accessible information online such as home pages, websites, user interface pages, and annual and financial reports. The semi-structured interview was carried out with a representative of a waqf organisation who has extensive knowledge of these technologies. This article is an effort to contribute to the body of knowledge by exploring blockchain technology’s potential applications and their limits.

The purpose of the article is to reveal the modern significance of digitalization and digital platforms for the economic development of the subjects of the agricultural sector of the economy.The following methods were used in the research process, in particular: abstract-logical method (when studying the theoretical foundations of digitalization of the economy), monographic (to clarify the essence of the relevant categories), comparative analysis, economic-statistical (in identifying trends and patterns of development of the state economy), illustrative (for a visual representation of the digital platform of agriculture), as well as methods of systematic approach, grouping and generalization, other methods in the field of economic research.The need to use a digital platform, especially for small and medium-sized agricultural enterprises, has been identified. In particular, this system will allow: public authorities (to make a plan of visits and yields; to report on the allocation of subsidies, as well as their use; to conduct a financial audit for each enterprise; to assess the competitive advantages of each enterprise; enterprises (to analysed data from weather stations; to study information on the condition of soils; choose crops for sowing; assess the risks of crop loss; obtain data on climatic risks).Theoretical provisions on the impact of digitalization of the economy on agricultural production and the need for digitalization of production and economic processes have been further developed.As a result of the implementation of the proposed digital platform in agriculture, the following benefits will be obtained: increased crop yields; the field planning system will improve; reduce production costs based on efficient use of resources and science-based approaches.

In this paper, a system dynamics model depicts the viral growth of COVID-19 at an exponential rate. The outbreak of Corona virus was started from the Feb 26, 2020 when the first case was reported in Pakistan. Local bodies and law enforcing agencies had taken initial preventive measures to restrict the COVID-19 to a particular locality but all in vain. The infected people were increasing every day rising the stocks of recoveries and deaths. Numbers of infected people were alarming and a need was felt to develop the model to calculate the existing reproduction number and transmission rate and highlight its varied values in coming days. People-oriented measures and government-based policies must be explored to fight against this deadly disease. This paper aims the development of epidemic model using the system dynamic framework on simulation software STELLA. The objective of the research is to experiment with the model to replicate the progression of the communicable disease and probe the multiple combinations of the people-based and government-based measures to reduce its spread. The containment measures are of two types; people-based measures and government-based measures and both directly affect the reproduction number and infection growth fraction for mitigating the spread of deadly coronavirus. Combined efforts of public and government can combat this pandemic. Reduced degree of reproduction number and infection growth fraction are the key metrics to judge and evaluate the effectiveness of containment measures.This research points to more holistic combination of public and government-oriented measures that play the vital role to flatten the curve and reduce its spread affecting the reproduction number. Simulation results have been traced to replicate the real-life settings against four combinations of containment measures in tabular form and graphical form.

This study has a purpose to examine and analyze the influence of green knowledge sharing and green organizational commitment on green competitive advantage, mediated by green innovation. This study uses census method for the sampling technique, because the number of samples is similar with the population, namely all employees of Giriloyo Batik MSMEs in Giriloyo, Karang Kulon, Wukirsari, Imogiri Districts, Bantul Regency, Daerah Istimewa Yogyakarta, Indonesia. The sample used in this study is 60 employees. The statistical technique used in this study is SmartPLS ver. 3. The findings of this study prove that green organizational commitment has a positive and significant influence on green innovation; and green knowledge sharing has an influence on competitive advantage.

The study aimed to test the impact of strategic thinking in terms of (systems thinking and future insights) on organizational innovation in terms of (introducing new products and developing the current products): The moderating role of Autonomy at Jordanian IT companies. The quantitative analytical descriptive method was used. 98 IT companies were randomly selected out of 220 companies operating in the Jordanian market. For collecting the needed information and data the questionnaire was used and distributed electronically to 205 managers working at the selected IT companies, 173 questionnaires were retrieved and statistically analyzed. The main results of the statistical analysis revealed that there is a statistically significant impact of strategic thinking on organizational innovation, and Autonomy as a moderator improved this impact by 0.02. The study recommended enhancing the capabilities of all the staff in strategic thinking and empowering them to be able to freely make innovative decisions..

Credit risk is particularly important for the banking system and any financial institution. The risk associated with lending affects not only financial institutions but also other sectors with a “domino” effect. Therefore, it is important to assess the impact of loans, including non-performing loans, their degree of risk, and based on their analysis, it is necessary to draw fair conclusions in terms of forecasting. The aim of the paper is to analyze the impact of non-performing loans on the economy. The paper examines foreign trends and Georgia’s reality regarding non-performing loans. It has been assessed how risky the credit portfolio of commercial banks in Georgia is. The article assesses the impact of the pandemic on the share of non-performing loans and the financial system. In our research, a separate analysis of the influence of factors affecting non-performing loans and interrelationships between variables is made using a regression model and a correlation matrix. Based on the results, the article draws conclusions and offers appropriate recommendations for maintaining financial sustainability.

The current exploratory study investigated leadership styles adopted by Scottish micro-businesses during COVID-19. A qualitative research approach was employed on 20 owners/managers in Scotland, using semi-structured interviews. The data were analyzed using qualitative thematic analysis. The findings of the study revealed thematic variations across a range of leadership styles as the autocratic style was identified by businesses as the most common approach during the pandemic due to the influence of the external environment on rapid decision-making. In essence, the findings highlight the importance of recognizing the role of leadership approaches under uncertain and volatile market conditions. Based on the qualitative findings of the study, a novel framework presented as the “COVID-19 Leadership Framework” was proposed that addresses the contextualization of the findings to a specific and contemporary context. The results of the study presented theoretical and practical implications for micro-business, policymakers, and Small to Medium Enterprise support services.

This article critically analyzes previously published literature and discusses the lessons learned in detail. Learning gleaned from the theories has been used to create a conceptual framework. Using data from the published sources, a null hypothesis is developed to suit the current case. The results highlight the importance of digitalization in education in general and the accounting field in particular. This paper also reveals the impact of COVID-19 on education and addresses the main challenges faced by education and the accounting sector after the pandemic.

With a fluctuating status of the global market post to the spread of COVID-19 pandemic, the repeated and disoriented lockdowns lead to unexpected and harmful consequences to many firms around the world. However several businesses try hard to cope with the disaster, they ultimately arrived to a sad conclusion by putting their fundamental projects or functions on hold since they do not acquire convenient plans to be resilient among these unanticipated events. Leaders and successful firms take the advantage of artificial intelligence and the tsunami of data to enhance their efficiency, innovation, supply chain, knowledge management, forecasting, problem solving and decision making. The phenomenon of Big Data has opened new horizons in the field of research and currently been used to track the nature of COVID-19 virus. In addition, Big Data is employed nowadays to capture the consumers’ behavior as a result of the increased online transactions in COVID times. Furthermore, it can be useful to make wise decisions during merge and acquisition practices where knowledge and experience are massively transferred between parties. Oppositely, Big Data bears some drawbacks which are linked to procuring outstanding computational skills, pleasing infrastructure, privacy and security concerns, effect on scientific research and more.This paper aims to highlight the concept of Big Data in literature and focuses on its double-edged sword. Beside this, it discusses whether Big Data breeds excellent output at all times or this may depend upon other factors. Moreover, it explores how Big Data and Knowledge Management are related to each other and where they meet exactly. Likewise, it provides some insights about the role of Big Data during the Pandemic and lastly, the paper offers a number of recommendations for future directions in the background of Big Data.

The current study is focused on Job crafting is a phenomenon that is spread widely all across the globe in different occupations including childcare educators, special education teachers and political advocacy employees. The job crafting process provides the employees with a major role of redesigning their jobs in such a way within certain limits that they can work satisfactorily while happily getting engaged in their jobsx. Job crafting is always done by the employees to feel comfortable in the environment and pays more attention to their job. Job crafting within certain limits can be done in three different ways. The Covid-19 epidemic has affected countries throughout the world, exposing hundreds of millions of people and claiming many lives. Governments in several nations have implemented lockdown measures, one of which is a Working from Home (WFH) policy, in which employees are not required to report to work every day.

Crises are part of life, no one has not gone through a crisis or may go through it. Recently, it has been noticed that many crises occur globally and locally rapidly and increasingly. In this research, the focus will be on small and medium enterprises (SMEs), on the way they deal with difficult situations, in addition to the strategies and processes that they follow during crisis and post crisis. Moreover, it will shed light on the role of innovation in reducing risks associated with crises, the effects and influences that are related to the survival of the enterprises and the main causes of success during these difficult times; in turn, the main causes of failure. It will be a comprehensive analysis of crisis management and overcoming challenges during and after crises. The occurrence of the unexpected and unplanned situations is inevitable at any time, however the challenge is how to turn this matter into an opportunity, and what is the importance of planning and full readiness for such situations, as well as predicting and finding solutions before the problem arises, as in emergency situations often thinking becomes harder and narrower.

Fintech involves advanced technology-based solutions for the customers while not being dependent on the banking system and rather focuses on the other virtual currency options. The emergence of these methods especially cryptocurrencies and blockchains after the financial crisis of 2008–9 is more important for the sustainability and development of a country since Fintech is also an advancement in mediums of money flow. The present research has explored the effect of Fintech on sustainable development (economic, society, and environment) while focusing on the existing literature. The previous literature and theories represent that there is a significant influence of Fintech on sustainable development however, the influence differs in different countries and situations. Based on this, the study has identified that there has been no research on the role of the Covid 19 pandemic among Fintech and sustainable development of Bahrain and suggested quantitative research for the future.

This study primary aims to throw a light on the entrepreneurial proclivity of polytechnic diploma holders on the basis of gender divergence to derive the demand-driven actions for imbibing an entrepreneurial eco-system and culture among polytechnic diploma holders in select higher educational institutions in Tamilnadu. This empirical study also investigates the substantial obstacles faced by the study respondents on the basis of gender alone that might prevent them from intent of becoming the entrepreneurs. This study was effectively administered on 374 polytechnic diploma holders judgementally sampled and drawn on the basis of purposive-cum-area sampling technique. The outcome of this empirical study clearly revealed that male polytechnic diploma holders have demonstrated higher proclivity for entrepreneurship than their female counterparts. Furthermore, the male diploma holders considered the lack of capital, the difficulty in accessing capital for the new start-up idea and the dearth of break-through support from Governments as higher obstracles to embrace the notion of the entrepreneurship, whereas female diploma holders regarded the lack of encouragement and support from the family, the lack of capital and the lack of knowledge about how to kick start a venture as higher obstracles towards becoming future entrepreneurs..

“The Small and Dynamic” Small micro enterprises are mostly labour intensive, more change susceptible and highly influenced by socio-economic conditions. Many studies have discussed the antecedents of microentreprenuers successful survival. Most of the research is based on theories, strategies and personal traits.But these studies did not aim at the combined influence of business tactics and personal traits on business survival. The present study aims at studying the mediating effect of business tactics on entrepreneurial resilience and business survival. The study evidenced that business tactics have mediating effect on the relationship of Microentreprenuers resilience and Business survival. For mediation analysis Andrew hayes process model 4 was used.

Due to the crisis and high unemployment, the labour market needs diversified skills. Higher education must encourage entrepreneurship. This research examines the impact of entrepreneurial incentives on prospective students’ entrepreneurial intentions and the role of entrepreneurship education on entrepreneurship development. Undergraduates’ career perspectives were investigated. Surveys collected original data. The study included 250 students, 200 of whom completed the questionnaire. Anova analyses data (single factor). Most responders are risk takers, and parent’s occupation influences entrepreneurship choice. Most respondents favour huge companies than entrepreneurship. Family morale and financial support inspired entrepreneurs. Entrepreneurship is associated to risk-taking, student understanding of financing sources, moral and financial support, and parent employment.

Big data and AI may be advantageous for both businesses and consulting organisations when it comes to measuring and analysing workforce-relevant data, as well as interpreting and implementing big data results. Researchers and practitioners in IOP and HRM may provide organisational decision makers, workers, policymakers, and other employment stakeholders significant knowledge. Big data issues in IOP and HRM are studied at the micro and macro levels (e.g., changing nature of big data, developing big data teams, educating professionals and graduate students, ethical and legal considerations). Academics in IOP and HRM will likely play a bigger role in industry-specific big data, AI, and machine learning deployments.

The implementation of a rational form of labor organization of the company’s personnel requires an economic justification of the feasibility of its use in the structural unit of the business entity. Therefore, when searching for an effective form of labor organization, there is a need to identify a number of factors that increase the productivity of the company’s personnel. In modern conditions, the process of forming an effective system of labor organization of the personnel of motor transport enterprises as a set of measures aimed at increasing the organizational effect of the joint activities of the performers is gaining special relevance. Due to the complexity, dynamism and stochastic of the production processes of maintenance (MN) and ongoing repair (OR) of cars, analytical research methods are unacceptable for solving the problems of determining the rational forms of labor organization of performers, which correspond to the forms of organization of production of repair and preventive works. In this regard, there is a need to develop new approaches to the study of complex, dynamic systems. One of these techniques is the method of simulation modeling, which is the only way to obtain information about the state of the maintenance and repair systems of cars with various forms of organization of production and work without conducting an expensive experiment on a real object.The purpose of the study is to develop models of the organization of the labor process of repair workers of a motor vehicle enterprise, which allow to quantitatively measure the degree of effectiveness of each form of organization of the work of repairmen when using one or another form of organization of the provision of maintenance and repair services and to assess which organizational form of the labor process is in the specific conditions of the operation of the enterprise motor vehicle is the most acceptable. The data for conducting the research were obtained from the website of the YouControl company [1], as well as directly from the enterprises of motor vehicles of Ukraine. The results of the study allow employers to apply a methodical approach to choosing an effective form of work organization for the company’s auto repair staff in order to obtain reserves to cover additional labor costs.

The banking sector organizations focus on improving their reputation through Public Relations and communication. However, today, when Emotional Intelligence accompanies technology, providing clients with intelligent PR communication is significantly helping in reputation management. Emotional Intelligence and Artificial Intelligence also focus this study on the PR practices widely accompanied by Reputation Management Purposes. The conceptual model is supported by a symmetric communication model that is further tested using Structural Equation Modelling. Results revealed that Public Relations significantly affect Artificial Intelligence, indicating Emirati banks have widely integrated Artificial Intelligent systems in their clients’ support systems (p > .006). Besides, the effect of Emotional Intelligence on Artificial also remained significant, indicating the integrated PR system as having Artificial Intelligence (p > .082). The effect of Artificial Intelligence on Reputation Management also remained significant (p > .010), indicating the role of AI in improving organizational reputation. Finally, the mediating effect of Symmetric Communication also remained significant (p > .000), affirming its role in indirectly affecting Reputation Management. The current study concluded that Artificial Intelligence is integrated into Public Relations Practices and Emotional Intelligence. As a result, these factors play a constructive role in Reputation Management. While Symmetric Communication is further adding more to the Reputation Management process as an indirect variable, also highlighting the importance of communication for an organization.

Most MSMEs in their activities are only concern about how to get the highest possible profit without paying attention to the negative impacts. The purpose of this study is how to increase competitiveness by financial performance through strengthening production and institutions in MSMEs based on a green economy. The methodology used in this study is observations and questionnaires for MSMEs, tabulated questionnaires, and analyzed using the structure equation model (SEM) and AMOS. Based on statistical analysis, the results obtained that financial performance does not have full capabilities as an intervening variable and power in MSMEs based on a green economy.

Although there are numerous options for Financial Technology (FinTech) to assist in enhancing financial well-being, financial literacy among Malaysians appears to be low. This leads to the question that this study seeks to answer: Does financial literacy impact the adoption of FinTech? This study seeks to examine the factors influencing consumers’ desire to adopt FinTech in the Klang Valley with a particular focus on the impact of consumers’ financial and digital literacy on the willingness to adopt FinTech using the Technology Acceptance Model (TAM). We employ non-probability sampling to gather 302 data from individuals who have engaged in any form of FinTech. The findings from the Structural Equation Modeling (SEM) indicate that perceived usefulness and ease of use, mediated by attitude, are determinants of consumers’ willingness to adopt FinTech in Malaysia. We discovered a strong correlation between individuals’ intention to use FinTech and their level of financial literacy. The findings of this study would assist financial services marketers, FinTech companies, and policymakers to encourage FinTech adoption in Malaysia.

In response to a request for further research on servant leadership, this study proposes an integrative conceptual framework for servant leadership, organizational citizenship behavior, relational identification, perceived organizational support, and workplace loneliness. A proposed conceptual model postulates that servant leadership can lead to organizational citizenship behavior. Furthermore, the model posits that relational identification and perceived organizational support are mediators, and workplace loneliness is a moderator. This research fills a knowledge gap and presents propositions to develop a conceptual framework for an improved comprehension of the impact between servant leadership and organizational citizenship behavior.

Over the past years, Malaysian Islamic banking has shown promising rapid growth concurrently with global legality, infrastructure, talent, and product development. Islamic financial sector has anchored on the real economy, as Islamic banking services should ultimately improve lives and livelihoods – assisting individuals or businesses in growing their wealth, making payments, owning a home, growing their enterprise, managing financial risks and adverse events, creating high-quality jobs, and other economic outcomes. As a consequence of this, the widespread good development of IBIs has resulted in a talent conflict among the industry players. Each of these institutions needs skilled talent to be occupied within their organisation, and the talent conflict has resulted in a competition for talent. To date, the talent shortage has become more critical compared to previous years, and despite an increase in Islamic banking education and knowledge service providers, talent shortage issues remain unsolved. This paper focused on distinguishing the talent shortage in Malaysian IBIs from the talent demand and supply with the impact of government interventions. A mixed method approach was used to generate a result from 371 respondents and a group focus group discussion from three participants. Both generated results are later triangulated to acquire the ultimate. The result showed that all the variables positively affect talent shortage, with government intervention mediating the result. Finally, the contribution of the data will clear up the root cause of talent shortage among graduates at entry level in Malaysia IBIs.

The article examines the structure of assets and liabilities of enterprises with different levels of competitive potential, which was measured by the following three indicators: increase or decrease in assets, increase or decrease in the ratio of income from sales of products, works, services to cost, increase or decrease market share. The sample of twenty-five development companies was divided by cluster analysis into three groups - enterprises with low, medium and high levels of competitive potential. The analysis of the structure of assets revealed that developers with a high level of competitiveness are characterized by a slightly higher share of current assets than other groups of enterprises, and this cluster is characterized by a higher percentage of equity in the structure of liabilities. The construction companies are recommended to increase their level of financial stability, which is generally lower, to direct profits to the development fund and pursue a moderate policy of attracting long-term sources of financing for production activities. The practical use of the results of the study will allow companies to establish a system of asset management and the formation of attracted and equity and, as a consequence, create conditions for increasing competitive potential.

The importance of research and review of the advantages of physical exercise for humans and the importance of sports and the extent of its impact on the lives of individuals in various aspects. Bahrain Economic Vision 2030 consider sport is one of the most important factors to increase immunity in the human body, and that sport is important to confront COVID-19 and all diseases, so there are positives to the need to adhere to sports practices. Literature Review shows Public sector support for sport and physical activity unleash promote wellbeing and health, pursue positive social goals and promoting genders equality (Giulianotti et al. 2019) and how Physical activities enhance quality of life as exercise are very great for the general health and physical and psychological health of those who exercise regularly. (Shen et al. 2020).The method of the research is systematically literature review the articles related how sport enhancing quality of life, global initiatives regarding sport as social innovation and Bahrain overview about physical activity. In the Conclusion, Sport is one of the main things in a healthy person's life, which maintains public health and prevents diseases. Also, Bahrain 2030 vision improve health system by promoting and encouraging a healthy lifestyle by offering more attractive public spaces and modern facilities to boost sports activities. Finally, For future research academic institutions need to conduct researches about how sport can result outcomes beyond the playing field (Sanders et al. 2017; Camp 2020), what is the role of innovation in sport for development and peace to develop solutions for social challenges (Svensson and Cohen 2020).

The article is devoted to the research of agricultural waste usage as biomass in order to obtain new products and energy, as well as the implementation of the principles for sustainable development of the state. This approach is aimed at greening production, protecting the environment and improving the efficiency of enterprises.The methodological basis of the study is a system of certain methods and techniques used to assess the generation and use of agricultural waste. In particular, the article conducted a correlation-regression analysis to establish cause-and-effect relationships in the field of waste management.It is proved that at each stage of waste generation the directions and methods of their repeated recycling should be planned in advance. Agricultural waste forms biomass, from which in the process of recycling there is an opportunity to return the useful values of waste in the life cycle. Forecasting of agricultural waste generation in Ukraine for the period up to 2023 was carried out, the results of which confirmed the need to implement a comprehensive waste management policy, taking into account the positive experience of the European Union.The result of scientific research was the formulation and justification of the algorithm for the reuse of biomass, which includes the most important control units for the generation and use of agricultural waste. Under these conditions, they become biomass and become a potential factor in additional resources, reducing production costs and increasing the profitability of economic entities.The practical application of the above algorithm will increase the production of innovative products, reduce waste into the environment and save costs on their treatment. The main guideline for solving the problem of generation and accumulation of agricultural waste should be the concept of «zero waste».

The article deals with implementing economic and mathematical analysis for the use of managing system foreign economic risks of an enterprise. It also denotes the possibility to form effective tendencies of their improvement while using insurance instruments. The realized analysis proves that covering negative foreign economic risks influences on economic activity realized by a business entity needs heavy expenses. It also reasons the search for stimuli to realize the risks including the instruments for foreign economic operating. Here we imply the use of insurance instruments as one of effective mechanisms for positive impact of foreign market trade, formation of sources to cover foreign economic risks and minimization of their influence on commercial activity. The process is caused by the fact that foreign economic contracts ignoring or underestimating may bring weakening of the positions in the corresponding branch of business relations. Defiance may also cause less expected profits. The used economic and mathematical modelling helped reveal the dependence between the amount of foreign trade operations and the insurance amount of these operations. The authors recommend a number of managing decisions that may rise the effective use of insurance instruments to cover foreign economic risks of an enterprise.

The purpose of this study is to analyze the role of strategic leadership in encouraging business performance improvements in oil companies that utilize the Metaverse implementation. Businesses with metaverse experiences are now here to create the ability to teleport from one business process experience to another. Companies must find ways to connect their online platforms to each other in order to operate more efficiently and effectively. This study is descriptive qualitative research whose data collection was carried out through interviews and independent interviews with participants. The companies studied are companies that had implemented metaverse, especially for the HSE sector in Jakarta. Researchers visit to the company's location and conducted open interviews with unstructured and non-standard questions. Interviews were conducted more than once with a certain schedule that was strictly followed. The results of the study explain that metaverse is needed in the HSE simulation in oil companies to reduce the accident rate so that it can have an impact on improving the company's business performance. All of them require a visionary strategic leadership role.

The modern strategic development of any territory is being actively discussed today within a reasonable combination of market instruments to increase the attractiveness of the territory and improve the quality of life. To assess the effectiveness of territorial marketing activities, the integrated indicator or the system of the indicators is needed, which could be used to monitor how the needs for the formation of long-term competitive advantages of legal entities and improving the life quality are met. It should be noted that the development of approaches to the assessing the socio-economic development of the territory has become a necessary major trend in their attractiveness.The aim of the work is to develop scientific and methodological tools for calculating the integrated indicator for assessing the socio-economic development of the territory on the basis of a marketing approach. In the article was formed the author’s methodology of estimation of socio-economic policy of territories. A set of indicators characterising the quality of territorial population life has been formed; the assessment methodology of development priority of territorial clusters is offered; the integrated indicator of the efficiency of the territorial marketing system has been developed. Specified that the review of the territorial complex is based on the indicators of the quality of life of the population, the map of the quality of life is developed, which takes into account the key subjective and objective components. The direction of further research is based on development of territorial marketing activities tools, for solution of socio-economic imbalances of territories.The practical value of the article lies in the possibility of using theoretical and methodological developments for assessing the socio-economic development of the territory based on the marketing approach of state authorities in developing policy documents in socio-economic development of regions and settlements.

This paper examines the impact of exchange rate volatility and FDI inflows in India for the period 2000 to 2019 on a monthly basis. The role of exchange rate and its fluctuations possess a vital role in influencing key macro-economic variables in any economy. The present study has been significantly important to assess the exchange risk which arises when exchange rate of any country has been too volatile which impacts the international trade and investment decisions. It has utilized the technique of Generalized Autoregressive Heteroscedasticity as a proxy variable in order to capture the volatility in exchange rate of India. To investigate the cointegration between FDI inflows and exchange rate volatility, the approach of Maki cointegration which provides information up to five unknown structural breaks has been employed. Further, a comparative analysis of simple ARDL and ARDL with structural breaks has been analyzed. Firstly, the result of cointegration by Maki approach has been consistent with ARDL bound test. The model with structural breaks stood superior as its ARDL bound test was far higher than simple model and it also removed the problem of heteroscedasticity which was observed in model 1 (simple ARDL). The findings suggest that exchange rate volatility has been negatively associated with FDI inflows in both the models signifying that volatility in exchange rate deter FDI inflows due to uncertainty which rises among foreign investors regarding the returns, though it was negative but statistically insignificant in our study.

Agriculture is a valuable substance in India’s economic development as it offers employment and income generation to the mass. A massive sub-continental size like India, with a manifest of resource endowment and population density, regional diversities in an agro-climatic environment, is likely to be characterised by irregular economic and agricultural development among various regions. Agriculture plays a vital role in ornamental inclusive enlargement in rural India. As a decisive factor for the development of an economy, Farm Mechanisation has marked and paved the way bright for ruralisation in India. Inclusive growth is considered in the reduction of poverty and terms of employment opportunities. Reduction in economic inequalities, achievement of sustainability and inclusive development are correlated to farm mechanization in Karnataka. Farm mechanization is a significant component of the modernization of agriculture. Farm Productivity is positively correlated with the accessibility of farm power attached to efficient farm implements and their cautious utilization. As a result of diverse programmes implemented by the Government of India over the years and equal participation from the Private Sector, the level of mechanization has been escalating steadily over the years. This is evident from the sale of tractors and power tillers, taken as an indicator of the adoption of the mechanized means of farming. The Department of Agriculture and Cooperation is following a multi-pronged strategy for promoting Farm Mechanization. This paper seeks to explore the intensification of Farm Mechanisation in Karnataka and its impact on sustainable and comprehensive growth and development.

The use of technology to enhance the quality of life and facilitate everyday activities is growing. Similarly, organizations are also enjoying technology implementation and its perceived benefits. This analysis also shows that AI can help address a wide range of regional economic and social challenges. The researcher particularly focused on the human resources departments to apply artificial intelligence in government institutions in the United Arab Emirates (Dubai government). To achieve this, the study followed the quantitative approach by interviewing n = 27 employees of the Dubai government at the different administrative levels, upper, middle, and executive, in several institutions in the UAE. The data was gathered specifically about the impact of artificial intelligence applications on human resources departments in Dubai. Important results and recommendations were reached, the most important of which was the establishment of public policies and ethical laws for using artificial intelligence applications in human resources in Dubai. Also. The obligation for all employees of government institutions to take training and development courses provided to them through distancing learning. Finally, deepening the leading role of the UAE in leading the applications of artificial intelligence in all fields will bring positive, constructive changes in the relevant institutions leading to greater national progress and growth.

Airport security personnel are faced with a high risk of fatigue, among other things. Employees under the said department are critically responsible for providing protection to both people and facilities in the airport. The 24-h operation of airports subject’s employees to irregular shifts which result in stress, fatigue, exhaustion and many other signs of job burnout. An interview was performed with ten employees of Dubai International Airport in which nine are from the airport security department and one is from administrative security. Interview findings indicated that the most common fatigue risk factors identified by participants include work shifts, workload, and sleep problems, among others the implications of fatigue are mostly negative, as it leads to increased errors, reduced alertness, and longer response time. All these are an indicator of declined productivity and performance among airport security personnel in executing their responsibilities of providing safety and security of people and of airport facilities. The results of the research can be used as additional information to existing studies regarding the existence of employee fatigue in the aviation industry.

Supply chain management in the government sector is a fundamental aspect of economic stability and development. Notably, supply chains have often been considered the vertical sequential flow of interdependent transactions that eventually add value for the final consumer. By keeping in view the importance of supply chain management in the petroleum sector, this article addresses the challenges confronted by the Emirati petroleum industry. The researcher selected a sample of n = 205 participants and applied structural equation modelling to examine the proposed impacts of the challenges on the supply chain management in the petroleum sector. Findings showed that all the challenges (Risk management, digital transformation, shipping cost, and supply chain volatility) have a significant impact on the supply chain management in the Emirati petroleum sector. The respondents widely agreed that these factors are creating several challenges as the company lacks a skilled system to cope with them. Thus, it is concluded that there are many challenges in the Emirati supply chain management of the petroleum industry despite they have good supply chain management. These challenges need to be solved by the petroleum industry with the use of proper approaches and customizing their supply chain management system to cope with the challenges raised during the contemporary era.

The study found that the demand for technological transformation in Ukraine on the basis of Industry 4.0 is due to a number of factors associated with low economic and social performance of production models and the external sector that do not meet the conditions of the XXI century. Testing the results of Ukraine’s international activities over the past five years according to the criteria of foreign economic security has indicated a permanent state of achieving critical levels of threats. The analysis showed that the investment resource of non-resident companies does not serve as a driver of technological innovation in Ukraine due to the low level of investment attractiveness of the country. The identification of changes that correspond to the principles of neo-industrial development has confirmed that they are not systemic in nature, but rather targeted. Modernization covers individual companies in different segments of the Ukrainian market, which belong to both traditional and new industries. Transformations related to Industry 4.0 in Ukraine are accompanied not only by economic problems, but also by the political dimension. The expected positive effects of modernization of production and its optimization on the other hand have a loss of workers in traditional industries of their jobs and income. This, in the conditions of weak financial capabilities of Ukraine as a state, leads to the deepening of the processes of precarization and impoverishment.

This paper evaluates the service quality of the Opera website, which is a student information system that provides a variety of e-services to both students and faculty at the University of Business and Technology (UBT), Saudi Arabia. The purpose of this evaluation is to improve the service quality of the Opera website and to ensure that Opera users are satisfied with the service they receive. In this evaluation, a questionnaire with two sections (Importance and Performance) for 22 item statements based on six key dimension criteria and their associated indicators derived from the ISO 9126/2 standard was printed and distributed to 512 random samples. The reliability of the questionnaire was then evaluated using Cronbach’s alpha, and the service quality of the Opera website was evaluated using SERVPERF Model and Importance – Performance Analysis. According to the results, users of the Opera website are satisfied with the overall service quality and consider the website to be user-friendly. In contrast, while using Opera, they occasionally encounter inaccurate results and technical difficulties.

The concept of remittances got so much importance in the annals of modern history that United Nations General Assembly adopted June 16 as the International Day of Family Remittances (IDFR). It is estimated that, in 2014, around 80% of all global remittances went to developing countries – $436 billion out of a total of $583 billion – around double the amount of global development aid. The objectives of this paper is to examine the relationships of remittances among others, on GDP growth and more importantly on deficit (trade) decline and poverty reduction of India, Bangladesh, Pakistan and Philippines an Asia Pacific hub where around twenty four percent global population live.

The term Fintech is a new term that is being used frequently now in the business and banking sector, which translates to financial technology. These technologies are being utilized and applied in the financial services sector and their intervention in mobile payments which includes money transfers, loans, fundraising, asset, and property management.Several papers have been published to report the latest accomplishments and noted challenges faced in the financial technology field from different perspectives to address this need. Hence, a bibliometric study would be required to conduct a detailed examination of the current body of knowledge in financial technology research. To investigate the influence of financial technology on the financial industry, this paper searched a list of 764 research papers that were published between the period of 2015 and 2022. The Web Science (WoS), literature reviews, conducted systematic scientific, providing research for future research of the analysis results of co-citation and co-cited sources, disciplines, and keywords indicated a noted increase in the field publishing industry which has developed rapidly in recent years in numerous countries and interdisciplinary research.Additionally, institutions in the United States, China, and British are adept at hosting such multidisciplinary work. Moreover, different keyword kinds show significant interactions in the visualization: (a) fintech, (b) blockchain and innovation, (c) performance impact, (d) information, and (e) financial inclusion.

Artificial Intelligence (AI) field of research started in the 1950s, for the purpose of understanding the nature in human intelligence (Jatobá et al. 2019). Artificial Intelligence accuracy and efficiency highly overreach the traditional management ability, AI highly beats human capabilities in accuracy and in processing data and storage, as human judgments in some cases are inaccurate and part from real situation; AI judgments are accurate and will help employees in making the right decisions and ongoing advancements can be reached (Wang and Li 2019). Human resource management (HRM) strategy is integrated with the organizations business strategy, HRM represents the organizations’ high level of decision making, HRM strategy focuses on employment policies and practices which consists of recruitment, selection, evaluation, development and retention of employees, and consultation and negotiation with individuals. Artificial intelligence is extremely important to be integrated in human resource management functions to support and run human resources functions efficiently (Jatobá et al. 2019). The research method will be systematic review aiming to find out the impact of artificial intelligence on enhancing human resource management functionality. It has been found that integrating artificial intelligence to the complex and various human resources tasks will reduce the large amount of time and efforts spent on performing those tasks, leading to efficiency and quality gains for the HRM functions (Arena et al. 2018).

Lean and Six Sigma are famous management strategies applied in various companies in both the production and service sectors. The author works at the company used as a case study in this paper, which describes the design process, beginning with the arrival of the client. After that and based on the size of the project, each stage of the design process, which include the predesign, schematic design, design development, documentation, and building permit stages, has its own processing time. A comparison between the normal system and one modified by adding one structural engineer to the original simulation model was made using the Arena Rockwell software. After running the two alternative models, it was revealed that the modified increased the number of completed design projects from six to 10 per 360 working days. Additionally, the modified system yielded an extra giga-sized project design. Furthermore, the modified system had a lower design development waiting time of 31.6 h as opposed to 474.59 h. Finally, the modified system had a lower number of entities in the design development waiting line of 0.24 instead of 0.93.

This paper explores the topic of integrating vulnerability assessment and quality function deployment with a risk management process to reduce project delay risk. The main purpose of this paper is to propose an additional sub-process in the risk treatment phase to improve the results of the risk management process. The proposed sub-processes include utilizing the matrix of the quality function deployment in order to identify the related capabilities and quantify the resistance and resilience scores to be utilized as input to conduct the vulnerability assessment and decide whether the action plan requires improvement or not. Due to limitations, a medium-sized construction project for a commercial mall in Jeddah, Saudi Arabia, was selected as a test subject, and the risk register from the project was utilized to test the proposed approach. The findings of the paper exhibit an agreement with the literature review findings that proper risk management can assist in reducing the probability of project delays. The proposed approach should be tested on a larger scale in order to properly gauge its effectiveness.

This study examines the use of artificial intelligence (AI) in administrative processes. The results reveal that the adoption of AI mechanisms within organizations is worth investing in, as the use of information technology benefits the management of administrative functions and relationships. Using AI enhances decision-making at all levels within an organization, and the results demonstrate that expert systems are the embodiment of AI that can serve the quality and effectiveness of administrative management. This study recommends the adoption of expert systems and AI models in various business organizations and public bodies to improve the decision-making process.

Artificial intelligence is grabbing attention and increasing the interest of researchers and academics towards itself. Artificial intelligence can do a broad range of tasks that AI can perform including management of performance of employees, staffing, compensation for employees, training, and development to enhance their skills, etc. The purpose of this research study to understand the relationship between the artificial intelligence and training and development of the employees in an organization. The research questions were developed to get a clear path for the research study including (1) How does artificial intelligence improves the HR processes, specifically the training and development of employees? (2) How effective artificial intelligence is in the field of HR? (3) What is the perception of employees related to the utilization of artificial intelligence in their training and development? (4) What are the Pros and Cons of using artificial intelligence in HR practices? It is hypothesized that artificial intelligence predicts an increase in the efficiency of employees through their training and development. Data is collected with the help of questions obtained from “Employee Basic Task Performance Scale” and Quality of work life”. Data was obtained from the employees working in the organizations. Analysis of the data is completed with the help of Statistical Analysis Software (SPSS). The results show a positive relationship between the artificial intelligence in the training and development of the employees. Most of the employees appear satisfied with the trainings provided in their organizations. Hence, the hypothesis developed for this research study is accepted. Further research study is required to understand the type of artificial intelligence activities used in the training and development of employees in organizations.

In this paper the Fourth Industrial revolution meaning and history is being discussed and how artificial intelligence (AI) is part of this revolution.The fourth industrial revolution can be divided into 3 clusters digital, biological and physical clusters and each cluster it has its own applications that are connected to AI such as 3d printings, autonomous vehicle, new materials and advanced robotics implemented in this revolution AI has advanced this technology to another level where it started to affect our society in negative or positive way where our ethical value can be put in to consideration. Also, the impact of COVID-19 is discussed accordingly for on the Fourth Industrial Revolution.

Artificial intelligence can be defined as a discipline of computer science whose main purpose is to provide solutions to cognitive problems related to human aptitude and beyond. AI makes machines think like a man and thus able to perform responsibilities, for instance, solving problems, reasoning, and understanding language. Artificial intelligence is based on two major technology approaches machine education and deep learning. Every single day, artificial intelligence and present technology are increasing. The fast-growing technology of Artificial intelligence is crucial since it helps solve problems in institutional management. For instance, in the human resource department of any organization, artificial intelligence has been greatly employed for efficient performance. Mainly AI aids in the automation of the HR processes through quick and accurate data analysis. Such enhancement of HR by artificial intelligence promotes successful hiring and efficient management of the company’s employees. Moreover, a company with competent employees that adopts Artificial Intelligence is more likely to save on the production cost and enhance talent value among employees. In addition, the firm will improve the efficiency of the worker’s team strategy. This research paper will focus on addressing how the concept of AI affects human resource management and analyzes the future of HR with the emergence of AI.

The study's major goal will be understanding the importance of artificial intelligence (AI) in the human resources management, particularly in Bahrain. Also, to look into the issues that have arisen as a result of training programs launched in Bahrain's public sector. The training and development of employees are two of the most important topics tackled. The importance of training in delivering the required knowledge and capabilities should not be overlooked. As a result, the training must be successful enough to meet these goals. This study examines a number of contextual elements that have been discovered to have an impact on vocational training in different combinations with other previously examined effective factors. It will enquire into their relationship. It also identifies the various types of relationships that exist between the efficiency of training and environmental elements. The Kirkpatrick training model is used to build the study's framework. This paradigm has four stages that measure the success of training: reaction, learning, behavior, and result. This modest study project offers a glimpse into the future of employing AI to better understand HR practitioners’ attitudes and perspectives across a variety of systems. According to the study, Bahrain's public sector has been a tremendous potential in order to keep pace with the digital revolution by implementing its vision (2030 vision). As a result, the staff mix of commercial organizations has changed. It gives men and women the opportunity to compete in a variety of occupations. As a result of the requirement for gender equality, human resource management will be burdened in new ways. This also allows for a nice feminist component to be included. It is suggested that current artificial intelligence be used as a foundational method for firms that operate in a volatile environment.

The aim of this study is to explore the relationship and impact of the new innovation of “Artificial Intelligence” on the “accounting” as well as on the “auditing” professions including the impact on future loss of jobs within the accounting and auditing industry. In order to fulfil the aim and objectives of the study, the research paper is divided into three primary chapters starting with introduction containing the problem statement, research aim and objectives, research questions and hypotheses. The chapter two portrayed the literature review thereby setting the theme for the last chapter of conclusion and recommendations for future study. The study was conducted through a thorough review and analysis of the past literature base concerning the primary area of research that is the impact of AI on the accounting and auditing profession. Finally, it was concluded by the research study that the AI and its implementation have a positive impact on the accounting as well as auditing profession thereby facilitating a better professional decision making. It was also concluded that the AI and its implementation do not have any material impact on the future loss of jobs within the accounting and the auditing industry.

This paper aims to study the impact of Artificial intelligence (AI) on decision making in the era of Big Data, and what are the main limits or challenges to this topic, and to provide a better understanding on AI in decision making. AI history consist of attracting different level of interest through spring and winter seasons ever since the 1950’s. Nowadays, number of research papers and articles discussing ways into which AI tools are incorporated in decision making is increasingly rising, all sectors and fields are involved including healthcare, gaming, weather forecasting, defense and security, construction planning and business to name a few. Evidence highlighted by research papers show how decision-making tools through AI and Big data contributed to the prosperity of humans and the planet and attempts to solve numerous issues accompanied with each field in decision making, AI infused decision making versus human decision makers has shown several impacts on time saving, cost cuttings, creating enhanced products, and contributing to sustainability.

The study aimed to explore the impact of artificial intelligence on the performance of counting and checking operations. This work provides a review of the literature on artificial intelligence and its use in the accounting and auditing professions. A narrative approach was used to analyze related articles and micro-research to provide a comprehensive overview of the topic. Particularly with regard to the accounting and auditing professions, artificial intelligence has lately undergone earlier breakthroughs that have caused a shift in their attention from paper to computer entries. The goal of artificial intelligence is to demonstrate how computer technology can execute activities as effectively and efficiently as humans, if not better. The future of the accounting and auditing professions depends critically on artificial intelligence technology since it gives us the means to perform our duties more effectively and efficiently. AI has significantly improved operations, reporting, and decision-making processes in accounting and auditing, among other fields.

In the contemporary world, artificial intelligence (AI) is an industry that continues to transform human lives and has a profound impact on business in almost all spheres. Organizations are searching for bright, dynamic, and potential employees to remain competitive in this digital age. Managing the digital world and developing the business environment will require organizations to employ a suitable individual with an effective recruitment strategy. Hence, hiring skilled employees who are experienced and efficient in achieving the job objectives is a crucial part of any organization's recruitment strategy. Artificial Intelligence has a key role to play in recruiting, its ultimate goal is to allow computers to carry out the same work as normally performed by humans. Artificial intelligence functions and reacts as if it were a human leading with incredible speed and accuracy. This study aims at analyzing how Artificial Intelligence (AI) impacts the Human Resource Industry. The study sheds light on the way artificial intelligence is used during the recruiting and selection process. The study finds that artificial intelligence technology capabilities can significantly improve the Human Resource and recruitment process with potential benefits such as increased productivity, reduced costs, improved accuracy, reduced workload, and improved candidate experience.

Companies seek for improving quality in order to survive in the competitive market. To survive, you must search for the right candidates and hire them in the best-fit position at the right time. Due to the rapid development in the world, several methods (traditional methods) are no longer efficient. People and companies are looking forward deploying more efficient methods in recruiting candidates. Currently, the trend in recruitment is moving forward applying artificial intelligence. This paper focus on impact of Artificial intelligence (AI) on private sectors. Since this industry is introduced recently, various companies are interested in applying AI. But the dilemma is that the advantages and disadvantages of applying AI in HR is still not commonly known for all of them. Also, the long-term effects for this industry still not revealed.

Artificial Intelligence (AI) is the general field that covers everything related to importing “intelligence” to computer systems in order performing tasks which require human intelligence, this is achieved by using algorithms that can detect patterns, generate insights from the data presented to them, to apply them to future decision-making processes and predictions, Artificial intelligence is a new concept of technological innovation where different technologies, processes and methods have been combined to create alternative solutions which are precise and to the point to enhance the economies as well as the competitive edge of the organization. The implications of the AI technology have been seen in various fields of life including medical automotive as well as financial industries. Financial institutes with crisis face challenges to deal with during to improve it quality and efficiency, so now days the financial services are under strain and challenges due to the wake up of the Covid-19 pandemic, Therefore, many financial institutes shift to implementing AI in its services to enhance it services, satisfy their customer and increase productivity.

Although social media has been recognized to facilitate collaborative value creation, there are differences in perspectives on how to understand the process of integrating customer resources into the brand community on social media. To understand this perspective in depth, this study considers it necessary to identify the process of integration in virtual brand communities. Therefore, the purpose of this study is to explore and analyze the configuration of the resource integration process in the brand community on social media. A content analysis is used to draw the conceptual framework in this study. The proposed study assumed, first, how to configure the process of integrating customer resources into the virtual brand community on social media, second, the effectiveness of customer interaction during the integration process into the virtual brand community.

To increase the purchase of a tourism product, tourism marketers can consider e-WOM marketing strategies. This study aims to contribute the development of e-WOM strategies, which persuades people to make impulse purchases of tourism products from Online Travel Agent (OTA). With a total of 161 respondents, the research employs a quantitative approach with Likert scale questionnaire. In this study, the simple linear regression equation yields Y = 13.100 + 0.547X. According to the coefficient of determination test results, e-WOM has a 47.9% effect on impulse purchases of tourism products. Furthermore, four dimensions, including frequency of accessing information, frequency of interaction, product variation, and transaction & website condition, have a more significant impact on impulsive tourism purchase in OTAs, which tourism product providers in OTAs should prioritize.

Even though the Covid-19 epidemic has affected the marketing of goods and services, this has not deterred people from purchasing luxury brands. Brand owners that wish to reach a large number of customers via social media marketing, including engaging and transacting on virtual platforms, have also discovered this. Social media marketing will assist customers in selecting things without their needing to physically visit the business. It must be acknowledged that purchasing things, particularly luxury items, demands accuracy hence, brand-owning corporations require their own marketing strategies. For instance, product photographs must be realistic so that they resemble actual items. Product specifics must be expanded upon and, most significantly, brand involvement must be increased. If customer participation in the brand is correctly achieved, then consumer reaction will be good and luxury brand sales will grow. This research is to assess marketing efforts on social media and luxury brand participation in relation to customer reactions when engaging and transacting on virtual platforms. A content analysis is used to draw the conceptual framework in this study. It is anticipated that the empirical contribution of this study will contribute to the advancement of science, particularly on the issue of consumer responses to marketing activities on social media.

Information technology and communication technology have coupled themselves and, have become a disruptive combination which has affected all walks of human existence. Digital Transformation is used to highlight the changes made by information and communication technology. Cooperatives are proven to overcome the shortcomings of other forms of institutions in terms of bringing an inclusive idea, failure to address the larger social concerns and its inherent nature of being highly focused on social and economic attributes and are capable of bringing in technological shifts or even changes in business models through their own initiatives. However, the small and locally based cooperatives are still away from digitalisation. The study aims to analyse how the concept of digital transformation works in social enterprise as well as incorporate the concept of digital transformation in Cooperatives and propose a model of model known as the Indian Cooperative Trade Platform (ICTP). The study tried to analyse the fact that the development of information technology through social enterprise is a solution for the importunate circumstances of a deprived section of society. The requirement of digitalisation in the cooperative sector is essential in this competitive era. With the help of the right support and use of digitalisation, ICTP like a centralised platform can be developed and made functional so as to ensure the efficient trading of agricultural products and that’s how to ensure the upliftment of deprived classes. The model will facilitate the attainment of SDGs as well if it is implemented and monitored systematically.

This research is aiming to analyze the influence of Instagram social media on the participation’s interest in MICE (Meeting, Incentive, Conference, and Exhibition) events among Bina Nusantara University students. This research is inspired by the lack of interest to participate in MICE events among the students. This research uses a quantitative approach with simple linear regression analysis using SPSS (Statistical Program for Social Science) to reach its purposes. The analysis is based on a questionnaire to 396 students among various majors in Bina Nusantara University. The results of the simple linear regression test and hypothesis testing indicate that there is an influence of Instagram social media on to student’s participation interest in MICE events with the regression value of 0.96. Furthermore, the collaboration dimension from social media influence variable got the highest value with the total of 3.36. Meanwhile, in the participation interest on MICE event, the desire dimension got the highest value with the total of 3.29.

Technology advancement have revolutionalised the financial service sector. Digital payment have motivating paperless, faceless and cash less transactions strengthening the country’s economic growth. Access to financial services is deemed as one among the key factors to socioeconomic resilience in the pandemic period. Pandemic has catalysed the access and usage of financial services across the world transforming the way people made and received payments or borrowed and saved. Experts predicted that epidemic has accelerated adoption of digital platforms at rapid speed and repetitive usage could lead to continuance usage, but there is lack of study in discussing the motivators that leads to user’s continuance intention. Hence, the study aims to undertake an empirical analysis and synthesise the users continuance usage of digital payments post pandemic with integration of tripod theories, namely technology acceptance model (TAM), Technology continuance model (TCT) and Diffusion of Innovation (DOI). Factors like perceived usefulness, perceived ease of use, confirmation, Compatibility, and trialability as the functions of satisfaction and continuance intention were considered. The study followed a quantitative research design approach, using a survey method data was collected from 250 respondents in Bengaluru. The research model was tested using SEM analysis. The findings of the study reveal that all the factors have a positive association with the user’s intention to continue using digital payments.

Women have been using cosmetics for ages. Women for ages want to look good, beautiful, and presentable. Today cosmetics products have become a part and parcel of every urban woman. When the woman goes to work, her purchasing power increases, and therefore the consumption rate of cosmetics also increases. As women are the major consumers of cosmetics, the study is only focused to study the behavior of women when it comes to buying and using cosmetics. As per a report published by research and markets, the Indian beauty and personal care market is estimated to be USD 24.53 billion in 2022 and is expected to reach USD 33.33 billion by 2027, growing at a CAGR of 6.32%. Taking this into consideration a study is conducted with special reference to women. The objective of the study is to analyze the purchase behavior, the role of government in regulating the cosmetics industry, and the extent to which unethical activities prevail in the industry.

The study on revisit intention has recently attracted significant attention from scholars and practitioners. This study attempts to contribute to the body of knowledge in marketing by focusing on issues relating to the factors that influence the revisit intention. Specifically, this study empirically investigates the influence of perceived authenticity, perceived value, perceived risk, electronic word-of-mouth (EWOM), and price sensitivity towards revisiting intention to the homestay in Kundasang, Sabah. The mediating effect of the attitude toward staying in a homestay on the relationship between variables was tested. Data collected from 178 homestay visitors were analysed using the partial least squares-structural equation modelling (PLS-SEM) approach supported by SmartPLS. The results reveal that perceived authenticity, risk, and EWOM significantly influence the revisit intention, whereas perceived value and price sensitivity have no significant effect. Furthermore, it was found that the attitude mediated the relationship between perceived value, price sensitivity, and revisit intention.

Digitalisation in business processes has become very popular, even though it is difficult for companies to implement. Digital transformation and digital disruption of Human Resource Management triggered the concept of Digital HRM. This article aims to clarify the general understanding of phenomena related to the relationship between Digital HRM, Digital Skills, and Employee Performance. The concept of Digital HRM brings an evolutionary advancement for the future. Human Resource demands digital skills that produce and distribute ideas and information. Thus, understanding the factors behind the different levels of various digital skills is very important. Digitalisation grades differently among HR, contributing to an organisation’s level of success. They include information, communication, collaboration, critical thinking, creativity, and problem-solving. Our literature review finds that employees who can access information systems through the digital process are considered to have a successful performance. Human resource information systems are helpful in HR processes and strategic organisational development tools. In this case, technology acts as a trigger to better share technology-based facilities, services, and decision analysis.

SMEs have been the backbone of numerous economies all over the world. But since Covid-19 pandemic hit many economies, it changed practically every part and component of SMEs. In response to the pandemic, one transition has been accelerated, namely digital transformation. Although previous studies on digital transformation performed by SMEs in ASEAN countries have been conducted, currently, there is no single empirical study that compare digital transformation conducted by SMEs across ASEAN countries. Therefore, we discuss and reflect on the implementation of digital transformation by SMEs in ASEAN countries by reviewing existing empirical studies on SMEs’ digital transformation published between 2020–2022 are reviewed.

The paper substantiates that the basis of the effective functioning of banking institutions in conditions of uncertainty is the identification and management of risks inherent in banking activity. Therefore, the purpose of the article is to substantiate the essence of payment systems, their role in ensuring the acceleration of monetary turnover both at the level of a sovereign country and at the international level; and also to study the international experience of central banks and the approaches of experts of the World Bank and the International Monetary Fund regarding the oversight of payment systems in order to ensure their effective functioning. The article defines that the sphere of payment systems belongs to the risky spheres of activity, which are characterized by such types of risks as legal, payment, operational, systemic and financial risks. At the same time, it is emphasized that cyber risk is the component of operational risk and cyber risk is considered as the risk of the implementation of cyber threats against information resources and/or information infrastructure, as well as the consequences of such events. Considering that modern payment systems are intermediaries in the funds’ movement, and, therefore, they are at risk of negative influences, challenges, threats and dangers, that can lead to damaging the national interests of states, it is proposed to consider cyber risk as a separate type of risk of the payment systems functioning.

The growing number of Social Media Influencers (SMIs) include a niche of influencers known as ‘Bookstagrammer’. Bookstagrammers are literary book influencers on Instagram; Their book reviews are now replacing those that expert journalists and columnists wrote. Bookstagrammers are successfully grabbing readers’ attention on Instagram with their online book-review style. This trend of book reviewing is now influencing the purchase intention of many readers online and impact the sales of the publishing industry. The present study attempts to develop a codebook by exploring and highlighting the key attributes of the book reviews posted by Bookstagrammers by conducting a content analysis on the Instagram posts. The blend of existing literature with the content analysis of the posts helps understand how these features create engagement in the book review posted.

Malaysia is moving toward a digital economy as outlined in Malaysia Digital Economy Blueprint. In agriculture, digital technologies like the Internet of Things (IoT), Artificial Intelligence (AI), robotics, and drone have been introduced in large-scale farming. These technologies enable smart farming, which makes farming activities more efficient, productive, and sustainable. However, the digital divide can pose a challenge to the digitalization process. Rural areas are associated with limited access to technological infrastructure, low levels of digital skills, and technology literacy that may hinder the adoption of digital technologies. Hence, the main objective of this study is to gain an in-depth understanding of the effect of digital technology on small-scale rural farmers. Data were collected through interviews and a total of fifteen small-scaled farmers participated in the study. The findings show that the adoption of digital technologies contributes to efficiency but it does not improve the well-being and income of small-scale farmers in rural areas. The implication highlights the necessity for policymakers to consider different models for the inclusion of small-scale rural farmers in the digitalization process.

The rising interest in coffee consumption has caught the attention of many local businesses, especially small and medium-sized businesses (SMEs) in Malaysia. Thus, there is an urgent need for understanding the consumers’ behaviours and needs, particularly in their purchase decision of coffee. This research aims to study the factors that influence the purchase decision of coffee in Shah Alam. An online survey was distributed to 308 respondents to gather customers’ opinion on the factors that influence their purchase decision of coffee. The result of the study reveals that price, digital marketing and job performance are the significant predictors, with digital marketing as the most influential factor. The findings suggest that business owners should focus more on digital marketing and pay attention to advertise the coffee as a means to improve job performance. Based on the variables presented in the study, the business owners particularly in the coffee industry able to gain competitive advantages to boost the sales and to sustain in a highly competitive market. From the angle of emphasizing digital marketing, putting a good price point for products and location of promotion in focus for enhancing job performance among coffee drinkers would increase consumer purchase decision towards their coffee at their cafes.

Globally, governments invest in transformation projects as a component of digital transformation is referred to as Digital Government (formerly known as e-Government). Therefore, this process needs people, technology, and a set of strategies. Government staff must therefore be prepared with pertinent digital skills that are currently not thoroughly studied if the Digital Government is to succeed. This research aimed to evaluate the face and content validity and analysis of the result of the pilot study of the new instrument for “digital government competency framework for Omani public sector managers.” Seven experts in the IT and non-IT fields participated in face validity, and 110 were used as a sample for the pilot study. The suggestions and comments were taken into account. The judging evidence of the instrument is being evaluated for content validity by an expert panel of eight academicians. In the final instrument, only items with a Content Validity Index (CVI) higher than 0.80 were used. The final instrument has 75 multiple-choice questions on a 5-point Likert scale. Results support the validation of this 75-item questionnaire; hence could be further researched on construct validity.

With the effect of rapid advances in communication and technology, it has become a necessity for businesses to keep up with the times. In this process, it is necessary to carry out digitalization-based transformation activities such as revising the ways of doing business in businesses and designing new business models. In addition to the feeling of having to comply with the transformation, the main goal should be for the managers who manage the transformation to combine digitalization with creativity and innovation, and to try to create and present the technology of the future in advance. In the digital world, which is developing faster than ever with the development of the digital age, businesses are trying to transform rapidly, while the adoption of digital technologies continues to progress rapidly. The objective of this research is to study the impact of company size, Six Sigma, and online staff training of Saudi Aramco on its digitalization (i.e., digital transformation), which in turn influences its employee skills. The author supported the argument from the literature review and asked seventy female and male Aramco employees about their opinions on the impact of their company size, Six Sigma, and online training on the company's digitalization and their skills. The author posits three propositions based on the argument and respondents’ opinions.

In many developing countries export earnings account for a large percentage of the country Gross Domestic Product (GDP), government revenues and expenditures and public investment. High dependency on a limited number of commodities for export increases the economy vulnerability to price fluctuations in the global markets. Not only instability in export earnings reduces the ability of the economy to finance development, but also increases uncertainty about future growth. Economic diversification underscores the importance of productivity growth to balance development and reduce dependency on international markets.The new economy, driven by digital technologies could help developing countries diversify output and foster economic growth. Building capacity for digital development enhances the country capabilities to promote innovation, create knowledge and disseminate information. Digital networks increase communication as well as allow people, regions and nations to collaborate and share information aiming at fostering growth and sustaining development. For developing countries, external knowledge enhances the economy readiness to diversify output, create employment opportunities and improve global competitiveness.

Relying on quantitative perspectives to determine employee productivity is highly subjective and is regarded as a bias for the service industry. The conventional employee productivity measure, which is derived from an economic position based on the output and input relation, is no longer feasible for the service industry. The human component plays a much larger role in this sector's operations. This is due to the fact that the service process is highly dependent on the quality of the workforce, which also has a propensity to be more customer intensive. Employee productivity is not a new concept but there is still a huge gap in addressing the importance of human resource quality (HRQ) as a measure of employee or labour productivity and the significance of placing a value on human resources has been the subject of much debate in the existing literature. In this paper, we focused on the significance of HRQ and the reasons why it is relevant to the service business. Within the scope of this paper, a conceptual framework of human resource quality as an important component for the measurement of employee productivity in the service sector is proposed.

The role of Digital Human Resources Management (DHRM) in the era of globalization, especially in the COVID-19 pandemic, has made a major contribution to sustainable business performance. This is interesting to study considering that the DHRM work process will take place through mobile, electronic media, social media via the internet, and also with the help of IT (information technology). This research aims to analyze the role of Digital Human Resource Management (DHRM) in contributing to the improvement of sustainable business performance in companies in DKI Jakarta. The importance of the role of DHRM is investigated because DHRM is able to do human work through software and several applications, which are supported by the internet network. Digitalization in HRM will enable companies to operate more efficiently and relevantly in the future.This type of research is qualitative which involved managers working in oil companies and transportation companies in DKI Jakarta who used DHRM in the companies where they worked. This study analyzed the data using the triangulation method through documentation, interviews and direct observation in the field with case studies. The results of the study explain that several digital HRM practices have been carried out in several companies, but other practical activities have not been carried out optimally. This is because the support from the system and the digitization of business processes that are included in HR practices are not yet optimal. However, the company realizes that DHRM is able to improve business performance in a sustainable manner.

A study has aimed at identifying the extent of effectiveness and ability of internal control to supervise digital banking applications and services which have been highly used in Jordanian banks due to the Corona.A descriptive analytical approach has been used due to the nature of the study; a questionnaire has been designed as a tool of data collection and distributed to study sample, composed of internal auditors, chief accountants, and financial managers in Jordanian commercial and Islamic banks. 96 questionnaires have been distributed. Statistical package for the social sciences (SPSS).The study has found that digital banking applications and services used by Jordanian bank have contributed to the achievement of internal control system’s goals. In addition, it has indicated that digital banking applications and systems, used by Jordanian banks, are characterized by information properties which make internal control system more effective and efficient during the Corona pandemic. Moreover, the study has shown that public or regulatory administrative control procedures have achieved the effectiveness of digital banking applications and services used by Jordanian banks in the light of the Corona pandemic; and the procedures and systems of data security and safety have highly affected the effectiveness of digital banking applications.