Business Intelligence

A fan page is a kind of a social network. Social network marketing (SNM) is a form of Internet marketing involving the creation and sharing of content on social media networks to achieve marketing and selling goals. In addition, precise SNM …

The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately, many application domains do not have access to big data because acquiring data involves a process that is expensive or time-consuming. This has triggered a …

Modern big data analysis and business intelligence applications come with high resource demands, along with a requirement for large data transfer between storage and compute nodes. Since the available resources of a single data center might not be …

Software development teams need to deal with several open reports of critical bugs to be addressed urgently and simultaneously. The management of these bugs is a complex problem due to the limited resources and the deadlines-pressure. Most of the …

Mit der Vervielfachung des Datenvolumens und der raschen Weiterentwicklung entsprechender Analysemethoden und Werkzeuge gibt es immer mehr Unternehmen, insbesondere aus dem kleineren Mittelstand, die aufgrund mangelnder Ressourcen und Fähigkeiten …

Zur Erbringung verschiedenster IT-Service-Management (ITSM)-Prozesse setzen insbesondere Großunternehmen seit Längerem umfangreiche ITSM-Software-Suiten ein. Im Rahmen ihrer Digitalisierungsinitiativen sind sie gegenwärtig verstärkt auf der Suche …

The location problem of unmanned vending machine is challenging due to the variety of customer preferences and random breakdown in service. In this paper, we present an optimization model for reliable location design of unmanned vending machines …

Subsurface uncertainties due to turbidite complexity will impact the recoverable resource and reservoir productivity which leads to decision making and planning of a deepwater field. This paper provides an alternative de-risking technique through …

Document-level sentiment classification is dedicated to predicting the sentiment polarity of document-level reviews posted by users about products and services. Many methods use neural networks have achieved very successful results on sentiment …

Optimal location query in road networks is a basic operation in the location intelligence applications. Given a set of clients and servers on a road network, the purpose of optimal location query is to obtain a location for a new server, so that a …

Online reviews contain many vital insights for quality management, but the volume of content makes identifying defect-related discussion difficult. This paper critically assesses multiple approaches for detecting defect-related discussion, ranging …

Today, a greater generation of information is produced as a consequence of the technological development of society. The Internet has facilitated the access and extraction of this information, thus pursuing the automatic discovery of the knowledge …

Because the clogging of filters leads to degradation and failure of mechanical systems, it is important to assess the health condition of a filter and predict its remaining useful life (RUL). Despite prior studies of liquid filtration systems …

A way to improve energy management is to perform balancing both at the Peer-to-peer (P2P) level and then at the Virtual Microgrid-to-Virtual Microgrid (VMG2VMG) level, while considering the intermittency of available Renewable Energy Source (RES).

Recently, artificial intelligence (AI) technology receives extensive attention in the manufacturing field. As the core technology, it generates considerable interest among smart manufacturing and Industry 4.0 strategy. Product lifecycle management …

Firms may invest in cloud computing for exploitative or explorative innovation. Exploitative innovation oriented cloud computing investments impact the firms' core business limitedly while the investments for explorative innovation bring the firms …

Human resources (HR) of any organization plays a significant role in construction and growth of the company by designating efficient and competent employees. To achieve its long-term socio-economic goals, an organization should make human resource …

The prime concern of this study is to explore how technology influences entrepreneurial marketing decisions during the world pandemic (COVID-19). The study uses a sample of 127 SMEs from Bangladesh. Data were collected by sending out …

The ever-increasing attention of process mining (PM) research to the logs of low structured processes and of non-process-aware systems (e.g., ERP, IoT systems) poses a number of challenges. Indeed, in such cases, the risk of obtaining low-quality …

Autonomous driving is the key toward ecologic and economic mobility. Robo-Test at the University of Stuttgart has created a pilot environment that uses AI-based clustering to automatically derive test scenarios and thus validate automated driving …

Quality requirements are vital to developing successful software products. However, there exist evidence that quality requirements are managed mostly in an “ad hoc” manner and down-prioritized. This may result in insecure, unstable, slow products …

In manufacturing systems, a state of high resilience is always desirable. However, internal and external complexity has great influence on these systems. An approach is to increase manufacturing robustness and responsiveness—and thus resilience—by …

Industry 4.0 is a tsunami that will invade the whole world. The real challenge of the future factories requires a high degree of reliability both in machinery and equipment. Thereupon, shifting the rudder towards new trends is an inevitable …

Agile supply chains facilitate sustainability through higher effectiveness and lower wastage. Agile supply chain frameworks in extant literature are designed for static supply chains and high-granular data that are only available at fixed periods.

In the era of big data, aiming at the problem of health data acquisition and processing in modern hospital information management, this paper analyzes and realizes the auxiliary role of big data and e-business in modern hospital health management.

In the last few decades, information security has gained huge importance owing to the massive growth in digital communication; hence, driving steganography to the forefront for secure communication. Steganography is a practice of concealing …

With growing reluctance to store and disseminate sensitive data throughout a supply chain network, there is a need to understand sentiment of big data and ways of control to achieve greater economic viability in the service-oriented supply chain …

In recent years, SenticNet and OntoSenticNet have represented important developments in the novel interdisciplinary field of research known as sentic computing, enabling the development of a variety of Sentic applications. In this paper, we …

Neural sequence to sequence models have achieved superlative performance in summarizing text. But they tend to generate generic summaries that under-represent the opinion-sensitive aspects of the document. Additionally, the sequence to sequence …

In this paper, we examine fire prevention planning in terms of analysis of population trends with regard to the area covered by Merseyside fire and rescue service in the North West of England. In particular, we present an examination of the …

Smart city driven by Big Data and Internet of Things (IoT) has become a most promising trend of the future. As one important function of smart city, event alert based on time series prediction is faced with the challenge of how to extract and …

Next location prediction has aroused great interests in the era of internet of things (IoT). With the ubiquitous deployment of sensor devices, e.g., GPS and Wi-Fi, IoT environment offers new opportunities for proactively analyzing human mobility …

Der Einsatz von Künstlicher Intelligenz wird in den nächsten Jahren auch die Arbeit von Controllern fundamental verändern. Umso wichtiger ist es für Controller zu wissen, was die Technologie tatsächlich leisten kann, welche Nutzungsmöglichkeiten …

Das Hessische Competence Center (HCC) hat einen Gesundheits-Check für Business-Intelligence-Anwendungen durchgeführt. Der Lösungsansatz für historisch gewachsene BI-Applikationslandschaften bietet vielfältige Ansatzpunkte zur Analyse der Stärken …

Die Bayer AG hat frühzeitig damit begonnen, die Voraussetzungen für den Einsatz von Künstlicher Intelligenz (KI) zu schaffen. Philipp Plank spricht im Interview über den Einsatz von KI im Controlling, neue Möglichkeiten im Forecasting und die Frage, ob KI Controllern in Zukunft die Arbeit abnimmt.

The technology, which enables creating new types of products, processes and services (i.e., things), which outcomes alter traditional competition and industry boundaries and create new lasting value. The digitalization process uses digital …

Schon immer verfügte die Finanzfunktion über die meisten Daten. Jetzt steht ihr eine Fülle neuer Daten zur Verfügung. Mit einem cloudbasierten Datenökosystem schafft sie die Voraussetzungen für den Einsatz von Künstlicher Intelligenz und damit neue Möglichkeiten für die Unternehmenssteuerung und eine zukunftssicherere Ausrichtung von Unternehmen.

The wide-spectrum of non-ionizing, non-visible radiation emitted from the novel 5G network deployment was investigated and found liable to produce effects capable of heating up and altering human body nomenclature. The Ultra-high frequency …

This article within the magazine Gruppe. Interaktion. Organisation. (GIO) provides an overview of established and new ways in competence management, with a focus on the HR Analytics approach. Competence management has come a long way. Since the …

Innovation Management Software can promote Entrepreneurial Ecosystems by consolidating an organization’s innovation programs, stakeholders, and resources in one place. In this study, we highlighted the digitalization of innovation processes. We …

The implementation of a PLM is a great process of change, representing a critical phase due to the inertia that characterizes some organizations. This evidence especially occurs in industry new to PLM, such as the fashion one, where a lack of …

The traceability of the supply chain with strict compliance with the specification to demonstrate in "transparency" the production processes in compliance with legislation and from a corporate social responsibility perspective, represents a …

Clinical decisions are more promising and evidence-based, hence, big data analytics to assist clinical decision-making has been expressed for a variety of clinical fields. Due to the sheer size and availability of healthcare data, big data …

This article reviews 26 years (1994–2020) of research on electronic business published in reputable journals of the field. The basic aim behind this study is to define the growth potential of electronic business and marketing as a theoretical …

The use of big data promises to drive economic growth and development and can therefore be a value-adding factor, but compared to private or public organisations, the country level is rarely investigated, and that is even more evident for …

E-business benefit both large and small businesses. However, the aggregate cost of successful online trading, including initial and recurring costs, continues to pose a great challenge to micro-enterprises. For these willing businesses, the result …

Scholarly documents are sources of information on research topics written by academic experts. Topic drift in such scholarly documents is usually linked with the contextual variation in the title or abstract or entire document over time. However …

Process mining is becoming an indispensable method in workflow model reconstructions, offering insights into mission critical systems. The efficacy of process mining depends on whether the underlying data mining algorithms can accurately classify …

Over the last decade, a huge number of medical visual data are widely used for diagnose, treatment, and follow-up. Retrieving needed medical image(s) from a huge number of images is one of the most widely used features in medical information …

Decision support systems (DSS) have evolved significantly since the past 50 years. The existing bouquet of DSS contributions offering the prevalent emphasis and future orientations of the field also point towards several shortcomings. The existing …

Multivariate time series (MTS) forecasting is a research field that is gaining more and more importance as time series data generators proliferate in the growing era of Internet of Things. Deep learning architecture for MTS data has been and still …

Urbanization of global populations with augmented and convenient living standards of people are driving towards techno-enabled and sustainable smart cities in the future. With this, technology plays a key role in making the existing cities smart …

Führungsinformationssysteme finden in der öffentlichen Verwaltung eine immer größere Verbreitung. Die technische Grundlage eines Führungsinformationssystems bildet in der Regel ein sog. Data-Warehouse-System. Mit den berechtigten informations- …

Die Relevanz digitaler Kompetenzen für Controller wird seit einiger Zeit sowohl auf nationaler als auch auf internationaler Ebene diskutiert. Welche Kompetenzen Controller konkret in der betrieblichen Praxis benötigen, wurde bislang jedoch selten …

The study examines the ontological similarity between the concept of competitor orientation and questionable intelligence-gathering efforts. Respondents from the hotel industry were surveyed with self-administered questionnaires. Exploratory …

This study examines the impact of decision-makers from Paraguayan software firms on internationalization. It aims to have a better understanding about the (non-) rational decision logic of the CEOs and founders shaping the internationalization …

Privacy preservation is a primary concern in social networks which employ a variety of privacy preservations mechanisms to preserve and protect sensitive user information including age, location, education, interests, and others. The task of …

Big data innovation is a key instrument for economic and social development and for the creation of new business opportunities. This study analyzes the patenting activities of global jurisdictions in the field of big data; as well as the scholarly …

Organizations may be related in terms of similar operational procedures, management, and supervisory agencies coordinating their operations. Supervisory agencies may be governmental or non-governmental but, in all cases, they perform oversight …

Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers and other untrustworthy users to …

Value Chain has been considered as a key model for managing efficiently value creation processes within organizations. However, with the digitization of the end-to-end processes which began to adopt data as a main source of value, traditional …

Drawing from tenets of the resource-based theory, we propose and test a model that examines the relationship between the application of big data analytics (ABDA) and organizational performance (OP) in small and medium enterprises (SMEs). Further …

The rapid development of social media, and special websites with critical reviews of products have created a huge collection of resources for customers all over the world. These data may contain a lot of information including product reviews …

Data mining technology has been applied in many fields. Prototype-based cluster analysis is an important data mining method, but its ability to discover knowledge is limited because of the need to know the number of target data categories and …

Due to an overwhelming amount of student-generated forum posts in small private online courses (SPOCs), students and instructors find it time-consuming and challenging to effectively navigate and track valuable information, such as the evolution …

Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage …

Social connections that reach distant places are advantageous for individuals, firms and cities, providing access to new skills and knowledge. However, systematic evidence on how firms build global knowledge access is still lacking. In this paper …

The use of shipping containers for the transport of goods has become indispensable and a crucial factor for globalization by providing inexpensive and safe transport opportunities. It is expected that the number of globally operating containers …

Graph mining has become a well-established discipline within the domain of data mining. It has received much interest over the last decade as advances in computer hardware have provided the processing power to enable large-scale graph data mining …

People tend to have multiple identities or personalities in their real and on-line lives. In the real life, these identities can be even associated with different names used with parents, groups of friends or in formal contexts. In the on-line …

Nowadays, opinion mining and sentiment analysis are the hot topics of research in social networks. Twitter is a popular social media that has general way of expressing opinions and interacting with other users in the online. Since the topics in …

Strategic organizational decision making in today’s complex world is a dynamic process characterized by uncertainty. Therefore, diverse groups of responsible employees deal with the large amount and variety of information, which must be acquired …

The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up new opportunities to …

Redundant features and outliers (noise) included in the data points for a machine learning clustering model heavily influences the discovery of more distinguished features for clustering. To solve this issue, we propose a spectral new clustering …

Electricity data could generate a large number of records from smart meter day by day. The traditional architecture might not properly handle the increasingly dynamic data that need flexibility. For effective storing and analytics, efficient …

In systems engineering, verification activities evaluate the extent to which a system under development satisfies its requirements. In large systems engineering projects, multiple firms are involved in the system development, and hence …

Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intelligence and …

As a business model, the essence of games is to provide a service to satisfy the player experience. From a business perspective, development in the game industry has led to the application of Business Intelligence (BI) becoming more and more …

Wer seine Marke erfolgreich positionieren und den Markenwert steigern möchte, sollte alle verfügbaren Daten zur Marke genauestens analysieren. Big Data und digitale Instrumente helfen dabei, detaillierte Informationen zu erhalten. Das Controlling …

Höhere Transparenz durch digitale Technologien gilt als Königsweg, die individuelle und organisationale Leistungsfähigkeit zu verbessern. Aus einer HR-Perspektive bietet sie so neue Chancen für die Motivation und Entwicklung von Mitarbeitern.

Additive manufacturing has been presented as a novel and competitive method to achieve unprecedented part shapes and material complexities. Though this holds true in niche markets, the economic viability of additive manufacturing for large-scale …

The primary sources of big data nowadays are from cloud computing, social networks, and the internet of things, and henceforth the data analytics has gained popularity these days, with the increasing demand for these technologies. This study …

The popularity of various social media platforms (e.g., Twitter, Facebook, Instagram, and Weibo) has led to the generation of millions of micro-blogs each day. Retweet (message forwarding function) is considered to be one of the most effective …

The rapid development of urbanization during the past decades has significantly improved people’s life. Tremendous efforts have been put on reasonably and optimally segmenting the city into functional regions to serve various needs for its …

Im Rahmen der Digitalisierungs-Bestrebungen rücken Business und IT zunehmend näher zusammen und erarbeiten gemeinsam Lösungen, um mit neuen digitalen Produkten oder automatisierten betrieblichen Abläufen das Unternehmen im Markt besser zu …

We discuss three important cases that the Competition and Markets Authority (CMA) has completed over the past year: First, the coronavirus pandemic has had implications for a wide range of the CMA’s work; we describe the work on price gouging …

Scholars and practitioners both acknowledge that agility is crucial in leading a digital transformation effort. However, empirical and theoretical research on agile capabilities in an international digital marketing setting is severely lacking.

Maintenance decision errors can result in very costly problems. The 4th industrial revolution has given new opportunities for the development of and use of intelligent decision support systems. With these technological advancements, key concerns …

Daten gelten schon seit längerem als das neue Gold. Doch Unmengen an Informationen lediglich zu erheben und zu speichern, genügt noch lange nicht. Um von ihrem Datenfundus gewinnbringend zu profitieren, müssen Unternehmen ihre …

The digital transformation is of increasing relevance for insurance companies’ business models. It leads to opportunities as well as challenges, especially for IT departments as core enablers or preventers. Against this background, the aim of this …

A range of explanation engines assist data analysts by performing feature selection over increasingly high-volume and high-dimensional data, grouping and highlighting commonalities among data points. While useful in diverse tasks such as user …

Patient-reported outcomes (PROs) such as quality of life (QOL) are an important part of clinical trials aiming to improve quality of care and strengthen our understanding of the effectiveness of new treatments from a patient-centered perspective [ …

This paper presents a strategy of state-of-the-art review of artificial intelligence (AI) in education and a case study about preparing students to have the competencies and skills necessary for the current and future digital transformation to …

Langfristig stabile Kundenbeziehungen sind maßgeblich für den Unternehmenserfolg. Es geht längst um mehr, als einen aktuellen Bedarf zu befriedigen: Unternehmen müssen sich gezielt auf jeden Kunden einlassen und ihn individuell betreuen.

Die Bauwerksüberwachung an Stauanlagen der EnBW AG wurde auf eine digitale Plattform umgestellt. Mit den im System vorhandenen umfangreichen Daten wachsen die Herausforderungen, die Vollständigkeit sowie Konsistenz zu überwachen und es ergeben …

Memo Dener, Gründer und Geschäftsführer des Schweizer Beratungshauses Axeed, über die drei Hürden für die Digitalisierung in Banken, die richtige Verortung von Projekten und über die Notwendigkeit von gesicherten Remote-Zugriffen. Memo Dener ist …

Digitalization has considerably transformed the finance functions of large multinational corporations. As researchers of the Stockholm School of Economics, the authors have been witnessing this transformation for several years and received insights into how companies expect digitalization to affect the finance function in the future.

Möchten Unternehmen das Risiko minimieren, in eine ihre Existenz bedrohende Krise zu geraten, sollten sie auf die Expertise des Controllings nicht verzichten. Es hilft ihnen dabei, das Unternehmen krisenfest aufzustellen, Krisensymptome frühzeitig zu identifizieren und rechtzeitig präventive Maßnahmen anzustoßen.

Big data could be a “gold mine” for creativity if it is used in the proper way, to this aim, we propose to use content management solutions to improve innovation process. Using ECM (enterprise content management) in the ideation step of the …

The Internet of Things (IoTs) enables coupling of digital and physical objects using worthy communication technologies and introduces a future vision where computing systems, users and objects cooperate for convenience and economic benefits. Such …

In the frame of the process monitoring domain, traceability in environments with non-exhaustive event logs remains as a challenge. In these scenarios, the discovery of the route followed by a particular item along the entire process is a difficult …

This paper provides a rich framework to estimate the causal relationship among eighteen features (related to the product type and classification) on an agronomy study by using Bayesian Networks, which are a type of probabilistic graphical model.

Managing the increasing water demands in Egypt, with limited water resources, urges Egypt to find innovative and sustainable approaches for management, and make use of modern information and communication technologies (ICT) to build decision …

Automatic extracting of knowledge from massive data samples, i.e., big data analytics (BDA), has emerged as a vital task in almost all scientific research fields. The BDA problems are rather difficult to solve due to their large-scale …

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at …

Contemporary industry practices must be appropriately reflected in designing modern-day teaching and learning programmes. Existing studies are limited to systematic methodologies for accumulating contemporary practice requirements and using that …

Choosing an appropriate location for retailing stores has great influences on business success. Population, traffic and accessibility, zoning and neighbors, location cost, existing sales performance, public transit durations and distances, and …

Shadow IT describes covert/hidden IT systems that are managed by business entities themselves. Additionally, there are also overt forms in practice, so-called Business-managed IT, which share most of the characteristics of Shadow IT. To better …

To improve the consumer shopping experience and to remain competitive, an increasing number of retailers continue to increase their investment in technology services and actively seek help from technology service providers to transform and upgrade …

Eine Analyse von 59 Publikationen lässt erkennen, wie sich die Digitalisierung auf den Bereich des Corporate Treasurys in Deutschland auswirkt. Schon heute sind grundlegende Veränderungen sichtbar. Auch in Zukunft, so die Prognose, werden die Prozesse, die Organisation und das Reporting im Corporate Treasury Management weiterhin nachhaltig durch neue Technologien geprägt werden.

During the first months of life, babies can be affected by congenital nystagmus, an ocular-motor disease making visual acuity decrease. Electrooculography (EOG) and Infrared-oculography are utilized in order to perform eye-tracking of patients …

Die Freie und Hansestadt Hamburg setzt die Verwaltungsmodernisierung fort und baut die Digitalisierung des Haushalts weiter aus. Ziel ist es, die Systemlandschaft noch besser an die Bedürfnisse einer modernen digitalen Verwaltung anzupassen. Der …

Relationship management has been of strategic importance for businesses that are interested to evaluate the state of the relationship with the customer and if possible to migrate customers to better and more binding states. This work addresses the …

Sustainable competitiveness (SC) encourages nations not only to meet the needs of the current generation but also to sustain or even expand national wealth in the future without depleting natural and social capital. Drawing on complexity theory …

Improving code quality without changing its functionality, e.g., by refactoring or optimization, is an everyday programming activity. Good programming practice requires that each such change should be followed by a check if the change really …

With the arrival of the big data era, the amount of micro-blog users and texts is constantly increasing, and research on personalized recommendation algorithm for micro-blog texts is becoming more and more urgent. In consideration of the impact of …

Efficient and user friendly database technologies have enabled the digitization of information pertaining to the medical domain. This has not only eased the smooth record manipulation but also attracted man a researchers to explore certain …

Following the introduction of performance management in Italian universities, Business intelligence has become a strategical means to use administrative data in support of governance and decision-making processes. The aim of this paper is to show …

Digital twin technology consists of creating virtual replicas of objects or processes that simulate the behavior of their real counterparts. The objective is to analyze its effectiveness or behavior in certain cases to improve its effectiveness.

Bei Self-Service Business Analytics fokussieren sich viele Unternehmen vorrangig auf die Auswahl einer geeigneten Technologie. Dabei bedarf es vor allem einer grundlegenden Veränderung in der Unternehmensorganisation, um das volle Potenzial von …

Effective management of customer’s knowledge leads to efficient Customer Relationship Management (CRM). To accurately predict customer’s behaviour, clustering, especially K-means, is one of the most important data mining techniques used in …

During the last decade, Big Data has emerged as a powerful alternative to address latent challenges in scalable data management. The ever-growing amount and rapid evolution of tools, techniques, and technologies associated to Big Data require a …

The buildup of huge data within business intelligence is essential because such data includes complete conceptual and technological stack in addition to raw and processed data, data management, and analytics. Evaluating Data Quality Model …

Healthcare predictive analytics using electronic health records (EHR) offers a promising direction to address the challenging tasks of health assessment. It is highly important to precisely predict the potential disease progression based on the …

Virtual learning environments are growing in importance as fast as e-learning is becoming highly demanded by universities and students all over the world. This paper investigates how to automatically evaluate User eXperience in this domain using …

The offshore support vessel (OSV) industry is essential to the successful exploration and production of oil and gas at sea. Understanding the factors that dictate this industry’s success is crucial and can indicate the actions that must be taken …

Data analytics are moving beyond the limits of a single platform. In this paper, we present the cost-based optimizer of Rheem, an open-source cross-platform system that copes with these new requirements. The optimizer allocates the subtasks of …

Developments in technologies, attitudes and investment are transforming the space environment, achieving greater accessibility for an increasing number of parties. New and proposed constellations will increase the in-orbit satellite population by …

The Internet of Things (IoT) applications have grown in exorbitant numbers, generating a large amount of data required for intelligent data processing. However, the varying IoT infrastructures (i.e., cloud, edge, fog) and the limitations of the …

Data is of ever-growing importance and is widely considered to be a company’s most valuable asset. Since data is becoming the main driver of business value, data quality and, specifically, data security are of paramount importance to companies.

Researching the field of business intelligence and analytics (BI & A) has a long tradition within information systems research. Thereby, in each decade the rapid development of technologies opened new room for investigation. Since the early 1950s …

A Pythagorean fuzzy set model is more useful than intuitionistic fuzzy set model to handle the imprecise information involving both membership and nonmembership degrees, and a soft set is an other parameterized point of view for handling the …

The concept of context awareness has been in existence since the 1990s. Though initially applied exclusively in computer science, over time it has increasingly been adopted by many different application domains such as business, health and …

Obtaining valuable insights and actionable knowledge from data requires cross-analysis of domain data typically coming from various sources. Doing so, inevitably imposes burdensome processes of unifying different data formats, discovering …

Process Intelligence refers to the extraction and analysis of valuable knowledge nuggets embedded in business process instances/event logs or enterprise applications, for the purpose of supporting various decision-making processes. Researchers and …

Data aggregation from different databases into a data warehouse creates multidimensional data such as data cubes. With regard to the 3D structure of data, data cube clustering has significant challenges to perform on data cube. In this paper, new …

In the health sector, it is very important to have adequate control over the allocation of resources; this becomes much more relevant in the case of high-cost diseases, HIV is one example of this. The use of analytical intelligence allows the …

Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing complex and highly interconnected data. Given the potential complexity of such data, some approaches proposed extending decision-support systems …

Extracting top-k keywords and documents using weighting schemes are popular techniques employed in text mining and machine learning for different analysis and retrieval tasks. The weights are usually computed in the data preprocessing step, as …

Enterprise architecture (EA) models are tools of analysis, communication, and support towards enterprise transformation. These models need a suitable maintenance process to support comprehensive knowledge of the enterprise’s structure and …

Scholarships are a reflection of academic achievement for college students. The traditional scholarship assignment is strictly based on final grades and cannot recognize students whose performance trend improves or declines during the semester.

Recent years have witnessed the rapid development of online social platforms, which effectively support the business intelligence and provide services for massive users. Along this line, large efforts have been made on the social-aware …

As artificial intelligence (AI) is enabling the automation of many facets of management and is increasingly used in a wide range of strategic tasks, it is necessary to better understand its relevance for strategic management. However, research on …

Data quality is critical to adequately perform management accounting (MA) tasks, and information systems (IS) provide the data for the MA domain. However, IS can vary vastly across firms, which may influence the basis for rational decision making …

This article aims to identify the innovation management practices used by companies worldwide and referenced in the scientific literature. This study employed a scoping review methodology proposed by Manchado et al. (Medicina y seguridad del …

Digitalisation is having profound effects on how enterprises function. Its impact on accounting research is growing as the rise of the internet, mobile technologies and digital economy tools generate depth, breadth and variety of data that far …

A temporal knowledge graph (TKG) is theoretically a temporal graph. Recently, systems have been developed to support snapshot queries over temporal graphs. However, snapshot queries can only give separate answers. To retrieve forward-backward …

Since the use of business analytics promises automation of business processes and time savings, the budgeting process seems predestined for the integration of analytical methods. Therefore, this study examines the determinants of the use of …

Die Vertriebsplanung ist neben Budgetierung und Absatzprognosen das wichtigste Monitoring- und Steuerungsinstrument für Sales-Entscheider. Der Trend geht zur Ganzheitlichkeit im Sales Planning, bei dem neben Vertrieb und Marketing immer mehr …

Die Metro hat ihr Daten-Management und die Data Governance im Einkauf komplett überarbeitet. Ziel war es, den Bereich Marken besser analysieren und aussteuern zu können. Dem Controlling fiel dabei im Rahmen des Informations-Managements eine …

Damit die digitale Transformation im Unternehmen gelingt, muss sie gezielt gesteuert werden. Dazu bedarf es einer umfassenden Steuerungsgröße. Gängige Reifegradmodelle basieren allerdings meist auf subjektiven Einschätzungen und sind daher zur Steuerung nur bedingt geeignet. 

Heterogeneous HybridTransactionalAnalytical Processing ($$\mathrm{H}^{2}$$H2TAP) database systems have been developed to match the requirements for low latency analysis of real-time operational data. Due to technical challenges, these systems are …

Unternehmen stehen zunehmend vor der Herausforderung, große, heterogene Daten zu verwalten und den darin enthaltenen Wert zu extrahieren. In den letzten Jahren kam darum der Data Lake als neuartiges Konzept auf, um diese komplexen Daten zu …

In recent times, there has been a great motivation toward research in the field of big data analysis and their incorporation into Internet of Things (IoT). The basic idea behind IoT is to ensure provision of services to clients all over the globe …

Business processes read and write data objects, usually stored in databases. Although data models and activity-oriented business process models originate from different paradigms, they need to work together properly. The data object states are …

In 2019, it was estimated that two-thirds of the adult Danish population have one or multiple chronic conditions, a number that is expected to increase [ 1 ]. This increase contributes to a growing burden on the healthcare system, and to manage …

This paper presents CirroData, a high-performance SQL-on-Hadoop system designed for Big Data analytics workloads. As a home-grown enterprise-level online analytical processing (OLAP) system with more than seven-year research and development (R&D) …

In order to improve the communications inside and outside the enterprise, efficient utilization of enterprise capitals and make improvements in the services and products of enterprise, many enterprises have turned to use enterprise resource …

Electronic word of mouth (eWOM) is a prevalent consumer practice that has undeniable effects on the company bottom line, yet it remains an over-labeled and under-theorized concept. Thus, marketers could benefit from a practical, science-based …

The purpose of this paper is to provide a theory-based explanation for the generation of competitive advantage from Analytics and to examine this explanation with evidence from confirmatory case studies. A theoretical argumentation for achieving …

Due to the increasing volume and variety of data on the Internet as well as in organizations, the role of data has changed from a passive entity to an active asset. Data are considered as a novel source of revenue, and the process of creating …

Industry 4.0, cyber-physical production systems (CPPS) and the Internet of Things (IoT) are current focusses in automation and data exchange in manufacturing, arising from the rapid increase in capabilities in information and communication …

The study investigates the moderating effect of e-literacy and business information strategy on the relationship between ICT adoption and performance of women-owned SMEs in Southwestern Nigeria. The theories of information technology trilogy by (J …

This study examines the impact of decision-makers from Paraguayan software firms on internationalization. It aims to have a better understanding about the (non-) rational decision logic of the CEOs and founders shaping the internationalization …

Currently, the data to be explored and exploited by computing systems increases at an exponential rate. The massive amount of data or so-called “Big Data” put pressure on existing technologies for providing scalable, fast and efficient support.

In this paper we are proposing an adaptive and real-time approach to resolve real-time financial data integration latency problems and semantic heterogeneity. Due to constraints that we have faced in some projects that requires real-time massive …

Large financial organizations have hundreds of millions of financial contracts on their balance sheets. Moreover, highly volatile financial markets and heterogeneous data sets within and across banks world-wide make near real-time financial …

The analysis and processing of big data are one of the most important challenges that researchers are working on to find the best approaches to handle it with high performance, low cost and high accuracy. In this paper, a novel approach for big …

Big data architectures have been gaining momentum in recent years. For instance, Twitter uses stream processing frameworks like Apache Storm to analyse billions of tweets per minute and learn the trending topics. However, architectures that …

Manual exploratory literature reviews should be a thing of the past, as technology and development of machine learning methods have matured. The learning curve for using machine learning methods is rapidly declining, enabling new possibilities for …

As cybersecurity threats increase in frequency and sophistication, organizations are realizing that one of their strongest resources to combat cyberattacks lies in the growing volume of data at their disposal. However, traditional knowledge …

Big data is poised to cover everything from business and sciences to healthcare, agriculture, education, economics, and government. This explosively big quantity of data generated makes our time the data age. The question is: What is the interest …

There has recently been a conscious push for cities across the globe to be smart and even smarter and thus more sustainable by developing and implementing big data technologies and their applications across various urban domains in the hopes of …

Hive has long been one of the industry-leading systems for Data Warehousing in Big Data contexts, mainly organizing data into databases, tables, partitions and buckets, stored on top of an unstructured distributed file system like HDFS. Some …

The competitive dynamics of the globalized market demand information on the internal and external reality of corporations. Information is a precious asset and is responsible for establishing key advantages to enable companies to maintain their …

Unternehmen sind heute in der Lage, ein deutlich umfassenderes Bild ihrer Prozesse zu erhalten, viel unmittelbarer und datengestützter zu entscheiden und zu steuern als noch vor wenigen Jahren. Das ist der entscheidende Mehrwert-Hebel der …

Soft skills are crucial for candidates in the job market, and analyzing these skills listed in job ads can help in identifying the most important soft skills required by recruiters. This analysis can benefit from building a taxonomy to extract …

The debate on vaccines in Italy has greatly intensified in recent years. The promulgation of a law that makes a set of ten vaccines obligatory has pushed this formerly niche topic to a mainstream level. The law itself is an answer to the …

A huge volume of digitized clinical data is generated and accumulated rapidly since the widespread adoption of Electronic Medical Records (EMRs). These big data in healthcare hold the promise of propelling healthcare evolving from a …

Due to the anonymous and free-for-all characteristics of online forums, it is very hard for human beings to differentiate deceptive reviews from truthful reviews. This paper proposes a deep learning approach for text representation called DCWord …

Technique for Order of Prevention by Similarity to Ideal Solution (TOPSİS) method is used for decision-making to improve software efficiency and to optimize its management by using methodological approaches. TOPSIS method is a multi-criteria …

Advancement of Web 2.0 has completely revolutionized the way people communicate and exchange information among them using social media such as Twitter etc. People are using smart technology based solutions (including IoT’s, sensors etc.) at an …

The ability to efficiently analyze changing data is a key requirement of many real-time analytics applications. In prior work, we have proposed general dynamic Yannakakis (GDyn), a general framework for dynamically processing acyclic conjunctive …

Soft computing triggers a revolutionary change in the field of computer science and technology. How did soft computing evolve? What is soft computing application situation? Which fields are soft computing widely used? Which fields does soft …

Clustering by fast search and detection of density peaks (DPC, Density Peaks Clustering) is a relatively novel clustering algorithm published in the Science journal. As a density-based clustering algorithm, DPC produces better clustering results …

Durch das exponentielle Datenwachstum ergeben sich für Unternehmen vielschichtige Auswertungsmöglichkeiten und deutlich mehr Informationen. Aber wie lässt sich dieses Potenzial mit einfachen Maßnahmen erschließen? Aus einer Analyse des Schweizer …

In many small and medium sized enterprises, management accountants have not been trained to adapt to the new standards that digitalization sets. Others do not even have any management accounting at all and therefore risk losing their competitive …

Axa Deutschland investiert in neue Formen des Arbeitens und implementiert im Bereich Finance neue Tools und Technologien. Dr. Nils Kaschner, der CFO des Versicherers, erläutert, wie diese Transformation die Basis für mehr Agilität im Unternehmen schafft.

Data mining and data analytics is promptly growing filed due to the incredible development of Big-Data. One of the financial supporting and economic strength of any government industries is tourist and development. This paper motivated to provide …

Customers demand typical type of products with multiple features. We want to develop a business intelligence system which helps the company to set the blue ocean strategy by discovering k-most promising features (k-MPF) from the customers’ query …

This paper considers a duopoly in which one firm doesn’t know its rival’s realized cost but can invest in competitive intelligence (CI) to gather information before competition. The incentive to invest in CI and the net benefit from CI investment …

Artificial intelligence poses a particular challenge in its application to finance/treasury management because most treasury functions are no longer physical processes, but rather virtual processes that are increasingly highly automated. Most …

Little is known what facilitates business model change in response to turbulent environments, particularly how firms can respond to digitization. This is noteworthy, since the emergence of digital technologies opens up the space for new business …

Eine externe Salesforce kann für die eigene Mannschaft eine wertvolle Unterstützung sein. Damit ihr Einsatz ein Erfolg wird, sollten Unternehmen einige Faktoren beachten: Die Vorbereitung, ein Tracking der Kampagne und ein passender Dienstleister …

Ein erfolgreiches Unternehmen begeistert seine Kunden. Denn so kommen sie wieder und empfehlen es - quasi als Unternehmensbotschafter - sogar weiter. Business-Intelligence-Tools professionalisieren die Kundenbetreuung, indem sie vorhandene Daten …