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weitere Zeitschriftenartikel

01-12-2021 | Original Article | Issue 1/2021

Big data analytics of social network marketing and personalized recommendations

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 …

Shu-Hsien Liao, Ching-An Yang

01-12-2021 | Survey Paper | Issue 1/2021 Open Access

A survey on data‐efficient algorithms in big data era

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 …

Amina Adadi

01-07-2021 | Issue 3/2021

A Cost-Aware Management Framework for Placement of Data-Intensive Applications on Federated Cloud

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 …

Moustafa Najm, Rakesh Tripathi, Mohammad Shadi Alhakeem, Venkatesh Tamarapalli

01-05-2021 | Issue 1/2021

Considering dependencies between bug reports to improve bugs triage

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 …

Rafi Almhana, Marouane Kessentini

09-04-2021 | Schwerpunkt Open Access

Das Geschäftsmodell Data Facilitator im Consulting

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 …

Volker Nissen

09-04-2021 | Spektrum Open Access

Self-Service-Portale mit Schwerpunkt Service-Request-Management: Analyse der Eignung existierender Software-Tool-Kategorien

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 …

Sebastian Floerecke


A reliable location design of unmanned vending machines based on customer satisfaction

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 …

Mozhu Wang, Jianming Yao

03-04-2021 | Research Article-Petroleum Engineering

De-risking subsurface uncertainties in developing and managing deepwater turbidite gas assets through data analytics

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 …

Edo Pratama


User’s Review Habits Enhanced Hierarchical Neural Network for Document-Level Sentiment Classification

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 …

Jie Chen, Jingying Yu, Shu Zhao, Yanping Zhang

01-04-2021 | Research Article | Issue 2/2021

Optimal location query based on k nearest neighbours

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 …

Yubao Liu, Zitong Chen, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Genan Dai


Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics

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 …

Nohel Zaman, David M. Goldberg, Richard J. Gruss, Alan S. Abrahams, Siriporn Srisawas, Peter Ractham, Michelle M.H. Şeref


Algorithms and software for data mining and machine learning: a critical comparative view from a systematic review of the literature

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 …

Gilda Taranto-Vera, Purificación Galindo-Villardón, Javier Merchán-Sánchez-Jara, Julio Salazar-Pozo, Alex Moreno-Salazar, Vanessa Salazar-Villalva

24-03-2021 | Original Article | Issue 4/2021

Data-driven health condition and RUL prognosis for liquid filtration systems

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 …

Seunghyun Lee, Seungju Lee, Kwonneung Lee, Sangwon Lee, Jaemin Chung, Chang-Wan Kim, Janghyeok Yoon

23-03-2021 | Regular Paper

An interdisciplinary approach on efficient virtual microgrid to virtual microgrid energy balancing incorporating data preprocessing techniques

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).

Paraskevas Koukaras, Christos Tjortjis, Paschalis Gkaidatzis, Napoleon Bezas, Dimosthenis Ioannidis, Dimitrios Tzovaras


Artificial intelligence in product lifecycle management

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 …

Lei Wang, Zhengchao Liu, Ang Liu, Fei Tao


Exploitative or explorative innovation? An event study of cloud computing business value

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 …

Zhenghua Li, Nianxin Wang, Shilun Ge


Are chatbots really useful for human resource management?

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 …

Soumi Majumder, Atreyee Mondal

10-03-2021 | Original Research | Issue 2/2021

Technology and Entrepreneurial Marketing Decisions During COVID-19

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 …

Mohammad Rashed Hasan Polas, Valliappan Raju

09-03-2021 | Original Article

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

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 …

Francesco Folino, Luigi Pontieri

01-03-2021 | Cover Story | Issue 3/2021

Systematic Testing for Autonomous Driving

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 …

Christof Ebert, Michael Weyrich, Benjamin Lindemann, Sarada Preethi Chandrasekar

01-03-2021 | Issue 2/2021 Open Access

A validated model for the scoping process of quality requirements: a multi-case study

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 …

Thomas Olsson, Krzysztof Wnuk, Slinger Jansen

26-02-2021 | Production Management Open Access

Increased resilience for manufacturing systems in supply networks through data-based turbulence mitigation

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 …

Dennis Bauer, Markus Böhm, Thomas Bauernhansl, Alexander Sauer


Developing a Web Platform for the Management of the Predictive Maintenance in Smart Factories

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 …

Karima Aksa, Samia Aitouche, Hamza Bentoumi, Ibrahim Sersa


Blockchain-Based Agile Supply Chain Framework with IoT

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.

Xiang Ning Zhu, Gabrielle Peko, David Sundaram, Selwyn Piramuthu

21-02-2021 | Original Article

Study of E-business applications based on big data analysis in modern hospital health management

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.

Xiaohong Li, Yanling Zhang, Yujuan Li, Ke Yu, Yihua Du


A survey on information hiding using video steganography

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 …

Mukesh Dalal, Mamta Juneja

05-02-2021 | Empirical article | Issue 1/2021

Stakeholder sentiment in service supply chains: big data meets agenda-setting theory

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 …

Ray Qing Cao, Dara G. Schniederjans, Vicky Ching Gu


DomainSenticNet: An Ontology and a Methodology Enabling Domain-Aware Sentic Computing

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 …

Damiano Distante, Stefano Faralli, Steve Rittinghaus, Paolo Rosso, Nima Samsami


Sentic Computing for Aspect-Based Opinion Summarization Using Multi-Head Attention with Feature Pooled Pointer Generator Network

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 …

Akshi Kumar, Simran Seth, Shivam Gupta, Shivam Maini


Population Trends and Fire Prevention in Merseyside UK

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 …

M. Taylor, D. Appleton, G. Oakford, J. Fielding

01-02-2021 | Research Article | Issue 1/2021

A framework based on sparse representation model for time series prediction in smart city

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 …

Zhiyong Yu, Xiangping Zheng, Fangwan Huang, Wenzhong Guo, Lin Sun, Zhiwen Yu

01-02-2021 | Research Article | Issue 1/2021

Where to go? Predicting next location in IoT environment

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 …

Hao Lin, Guannan Liu, Fengzhi Li, Yuan Zuo

01-02-2021 | Schwerpunkt | Issue 2/2021

Künstliche Intelligenz als Zukunftstechnologie im Controlling

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 …

Barbara E. Weißenberger

01-02-2021 | Praxis | Issue 1-2/2021

Gesundheits-Check für BI-Anwendungen

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 …

Dr. Jörg Raimann

01-02-2021 | Schwerpunkt | Issue 2/2021

"So viel Blackbox ist KI eigentlich nicht"

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.

Utz Schäffer

01-02-2021 | Issue 1/2021

Applying Frameworks for Cognitive Services in IIoT

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 …

Ulla Gain

01-02-2021 | Schwerpunkt | Issue 2/2021

CFOs werden mit Cloud und KI zur Dateninstanz

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.

Andreas Braun

27-01-2021 | Original Paper | Issue 2/2021

Chemical polarization effects of electromagnetic field radiation from the novel 5G network deployment at ultra high frequency

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 …

Ugochukwu O. Matthew, Jazuli S. Kazaure

27-01-2021 | Hauptbeiträge - Thementeil | Issue 1/2021 Open Access

Traditional and new ways in competence management: Application of HR analytics in competence management

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 …

Laura Johanna Karwehl, Prof. Dr. Simone Kauffeld

27-01-2021 | Original Paper Open Access

Digital innovation management for entrepreneurial ecosystems: services and functionalities as drivers of innovation management software adoption

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 …

Herbert Endres, Stefan Huesig, Robin Pesch

25-01-2021 | ORIGINAL ARTICLE | Issue 1-2/2021 Open Access

Implementation framework for PLM: a case study in the fashion industry

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 …

Virginia Fani, Chiara Falchi, Bianca Bindi, Romeo Bandinelli


Big data for corporate social responsibility: blockchain use in Gioia del Colle DOP

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 …

Massimiliano Giacalone, Vito Santarcangelo, Vincenzo Donvito, Oriana Schiavone, Emilio Massa

21-01-2021 | Special Issue Paper

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities

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 …

Arshia Rehman, Saeeda Naz, Imran Razzak


26 years left behind: a historical and predictive analysis of electronic business research

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 …

Tuğçe Ozansoy Çadırcı, Ayşegül Sağkaya Güngör


Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa

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 …

Anke Joubert, Matthias Murawski, Markus Bick


E-business adoption costs and strategies for retail micro businesses

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 …

Marcia Mkansi

14-01-2021 | Original Article

Joint learning of author and citation contexts for computing drift in scholarly documents

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 …

J. Vijayarani, T. V. Geetha


Dynamic swarm class rebalancing for the process mining of rare events

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 …

Jinyan Li, Yaoyang Wu, Simon Fong, Raymond K. Wong, Victor W. Chu, Kok-leong Ong, Kelvin K. L. Wong


Diamond: multi-dimensional indexing technique for medical images retrieval using vertical fragmentation approach

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 …

AliAsghar Safaei, Saeede HabibiAsl

03-01-2021 | Original Article | Issue 1/2021

Exfoliating decision support system: a synthesis of themes using text mining

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 …

Rahul Kumar, Rahul Thakurta

03-01-2021 | Research Article-Computer Engineering and Computer Science | Issue 4/2021

Multivariate Time Series Forecasting with Dilated Residual Convolutional Neural Networks for Urban Air Quality Prediction

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 …

Meriem Benhaddi, Jamal Ouarzazi


A Backdrop Case Study of AI-Drones in Indian Demographic Characteristics Emphasizing the Role of AI in Global Cities Digitalization

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 …

Purnima Lala Mehta, Ramneek Kalra, Ramjee Prasad

01-01-2021 | Schwerpunkt | Issue 1/2021

Führungsinformationssysteme in der öffentlichen Verwaltung

– Risiken für die Beschäftigten?

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- …

Mathias Gisch

01-01-2021 | Controller & Manager | Issue 1/2021

Digitale Kompetenzen gezielt entwickeln

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 …

Stephan Schöning, Viktor Mendel, Sophia Hornstein

04-12-2020 | Issue 2/2020

Are hotel managers taught to be aggressive in intelligence gathering?

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 …

Patrick C. L. Chan, Jimmy H. T. Chan, Alan K. M. Au, Matthew Yeung

01-12-2020 | Research | Issue 1/2020 Open Access

Decision-makers impact on the internationalization of high-technology firms in emerging markets

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 …

Michael Neubert, Augustinus Stijn Van Der Krogt

01-12-2020 | Research Article | Issue 6/2020

Matching user identities across social networks with limited profile data

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 …

Ildar Nurgaliev, Qiang Qu, Seyed Mojtaba Hosseini Bamakan, Muhammad Muzammal

01-12-2020 | Research | Issue 1/2020 Open Access

Understanding the development trends of big data technologies: an analysis of patents and the cited scholarly works

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 …

Tahereh Saheb, Tayebeh Saheb

01-12-2020 | Research | Issue 1/2020 Open Access

A data model for enhanced data comparability across multiple organizations

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 …

Patrick Obilikwu, Emeka Ogbuju

01-12-2020 | Research | Issue 1/2020 Open Access

Time-aware domain-based social influence prediction

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 …

Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal

01-12-2020 | Survey Paper | Issue 1/2020 Open Access

Big data monetization throughout Big Data Value Chain: a comprehensive review

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 …

Abou Zakaria Faroukhi, Imane El Alaoui, Youssef Gahi, Aouatif Amine

01-12-2020 | Research | Issue 1/2020 Open Access

Application of big data analytics and organizational performance: the mediating role of knowledge management practices

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 …

Muhammad Qasim Shabbir, Syed Babar Waheed Gardezi

01-12-2020 | Research | Issue 1/2020 Open Access

ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing

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 …

Mohsen Ghorbani, Mahdi Bahaghighat, Qin Xin, Figen Özen

01-12-2020 | Research | Issue 1/2020 Open Access

Artificial immune network clustering based on a cultural algorithm

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 …

Liyuan Deng, Ping Yang, Weidong Liu

01-12-2020 | Research article | Issue 1/2020 Open Access

Topic tracking model for analyzing student-generated posts in SPOC discussion forums

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 …

Xian Peng, Chengyang Han, Fan Ouyang, Zhi Liu

01-12-2020 | Research article | Issue 1/2020 Open Access

Impact of students evaluation of teaching: a text analysis of the teachers qualities by gender

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 …

Kingsley Okoye, Arturo Arrona-Palacios, Claudia Camacho-Zuñiga, Nisrine Hammout, Emilia Luttmann Nakamura, Jose Escamilla, Samira Hosseini

01-12-2020 | Research | Issue 1/2020 Open Access

Global connections and the structure of skills in local co-worker networks

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 …

László Lőrincz, Guilherme Kenji Chihaya, Anikó Hannák, Dávid Takács, Balázs Lengyel, Rikard Eriksson

01-12-2020 | Original article | Issue 1/2020 Open Access

A decision model on the repair and maintenance of shipping containers

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 …

Niclas Hoffmann, Robert Stahlbock, Stefan Voß

01-12-2020 | Original Article | Issue 1/2020

Online social network trend discovery using frequent subgraph mining

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 …

Saif Ur Rehman, Sohail Asghar

01-12-2020 | Original Article | Issue 1/2020

Hiding Your Face Is Not Enough: user identity linkage with image recognition

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 …

Leondardo Ranaldi, Fabio Massimo Zanzotto

01-12-2020 | Original Article | Issue 1/2020

A novel framework based on bi-objective optimization and LAN2FIS for Twitter sentiment analysis

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 …

R. Nagamanjula, A. Pethalakshmi

20-11-2020 | Original Research | Issue 3/2020 Open Access

On the current state of combining human and artificial intelligence for strategic organizational decision making

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 …

Anna Trunk, Hendrik Birkel, Evi Hartmann

18-11-2020 | Special Issue Article | Issue 3/2021

Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems

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 …

Fatos Xhafa, Alhassan Aly, Angel A. Juan

18-11-2020 | Issue 1/2021

Joint Spectral Clustering based on Optimal Graph and Feature Selection

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 …

Jinting Zhu, Julian Jang-Jaccard, Tong Liu, Jukai Zhou


The implementation of data storage and analytics platform for big data lake of electricity usage with spark

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 …

Chao-Tung Yang, Tzu-Yang Chen, Endah Kristiani, Shyhtsun Felix Wu

12-11-2020 | Original Paper | Issue 1/2021 Open Access

Coordination of verification activities with incentives: a two-firm model

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 …

Aditya U. Kulkarni, Christian Wernz, Alejandro Salado

01-11-2020 | Position Paper | Issue 1/2021 Open Access

Artificial intelligence in recommender systems

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 …

Qian Zhang, Jie Lu, Yaochu Jin

01-11-2020 | Special Issue Paper Open Access

Comprehensive review and classification of game analytics

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 …

Yanhui Su, Per Backlund, Henrik Engström

01-11-2020 | Information & Technologie | Issue 8/2020

Datenbasiertes Marken-Controlling

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 …

Stefan Sambol

01-11-2020 | Schwerpunkt | Issue 8/2020

Licht und Schatten digitaler Transparenz

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.

Till Remmers, Daniel Schaupp

27-10-2020 | ORIGINAL ARTICLE Open Access

Systematic manufacturability evaluation using dimensionless metrics and singular value decomposition: a case study for additive manufacturing

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 …

Eric Coatanéa, Hari P. N. Nagarajan, Suraj Panicker, Romaric Prod’hon, Hossein Mokhtarian, Ananda Chakraborti, Henri Paris, Iñigo Flores Ituarte, Karl R. Haapala


Emerging trends and global scope of big data analytics: a scientometric analysis

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 …

Keshav Singh Rawat, Sandeep Kumar Sood


Deep fusion of multimodal features for social media retweet time prediction

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 …

Hui Yin, Shuiqiao Yang, Xiangyu Song, Wei Liu, Jianxin Li

16-10-2020 | Regular Paper | Issue 2/2021

EcoLens: visual analysis of ecological regions in urban contexts using traffic data

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 …

Zhuochen Jin, Nan Cao, Yang Shi, Wenchao Wu, Yingcai Wu

15-10-2020 | Schwerpunkt | Issue 5/2020

Aufbau eines Multi-Cloud-Betriebsmodell

Bereitstellung eines konsistenten Betriebsmodells in einer Multi-Cloud Welt

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 …

Martin Andenmatten

06-10-2020 | Issue 4/2020

Recent Developments at the CMA: 2019–2020

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 …

Richard Havell, Chris Jenkins, James Rutt, Elliott Scanlon, Paul Tregear, Mike Walker

04-10-2020 Open Access

Leading digital transformation through an Agile Marketing Capability: the case of Spotahome

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.

Ludovica Moi, Francesca Cabiddu

01-10-2020 | Open Forum Open Access

Collaborating AI and human experts in the maintenance domain

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 …

Prasanna Illankoon, Phillip Tretten

01-10-2020 | Titelthema | Issue 5/2020

Next Generation: Advanced Analytics — mehr als „nur“ BI

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 …

Niels Pothmann

01-10-2020 | Abhandlung | Issue 5/2020 Open Access

How digitalization affects insurance companies: overview and use cases of digital technologies

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 …

Christian Eckert, Katrin Osterrieder

30-09-2020 | Special Issue Paper | Issue 1/2021

DIFF: a relational interface for large-scale data explanation

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 …

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeff Naughton, Peter Bailis, Matei Zaharia

09-09-2020 | Special Section: Feedback Tools

Utilizing open-source platforms to build and deploy interactive patient-reported quality of life tracking tools for monitoring protocol adherence

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 [ …

Michael A. Golafshar, Molly Petersen, Carlos E. Vargas, N. Jewel Samadder, Katie L. Kunze, Nicole McCormick, Shelby A. Watkin, Diana Maleyeva, Tiffany W. Cheng, Manuel Vargas, Todd A. DeWees

09-09-2020 | Original Paper | Issue 4/2020

An artificial intelligence educational strategy for the digital transformation

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 …

Francisco J. Cantú-Ortiz, Nathalíe Galeano Sánchez, Leonardo Garrido, Hugo Terashima-Marin, Ramón F. Brena

01-09-2020 | Titel | Issue 9/2020

Die Macht der richtigen Datenkombination

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.

Ralf Haberich

01-09-2020 | Praxis | Issue 9/2020

Bewertung von Bauwerksmessungen mit Business Intelligence und Visueller Analyse

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 …

Dr.-Ing. Jörg Franke, Dipl.-Ing. Peter Kasper, M. Sc. Hendrik Kötting

01-09-2020 | Karriere | Issue 9/2020

"An erster Stelle muss der Kundennutzen stehen"

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 …

Stefanie Hüthig

01-09-2020 | Information & Technologie | Issue 6-7/2020

Digitalization of the Finance Function

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.

Mats Glader, Torkel Strömsten

01-09-2020 | Schwerpunkt | Issue 6-7/2020

Krisen proaktiv vermeiden

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.

Alexander Sasse, Patrick Löflath

11-08-2020 | DSGVO Diskussion | Issue 5/2020

Erste Erfahrungen mit der DSGVO in einem mittelständischen IT-Unternehmen

Bertram Küppers

08-08-2020 | Original Paper | Issue 3/2020

Enterprise content management systems: a graphical approach to improve the creativity during ideation sessions—case study of an innovation competition “24 h of innovation”

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 …

Houcine Dammak, Abdellatif Dkhil, Ahmed Cherifi, Mickael Gardoni

06-08-2020 | Issue 1/2021

Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions

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 …

Bharat Bhushan, Chinmayee Sahoo, Preeti Sinha, Aditya Khamparia


Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments

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 …

Mateo Ramos-Merino, Juan M. Santos-Gago, Luis M. Álvarez-Sabucedo


Probability on Graphical Structure: A Knowledge-Based Agricultural Case

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.

Paula Ianishi, Oilson Alberto Gonzatto Junior, Marcos Jardel Henriques, Diego Carvalho do Nascimento, Gabriel Kamada Mattar, Pedro Luiz Ramos, Anderson Ara, Francisco Louzada

01-08-2020 | Technical paper | Issue 2/2020

Toward development of open-source models of decision support systems for water demand management in Egypt

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 …

Mohamed Ghareeb, Ahmed Khaled Seif

01-08-2020 | Issue 2/2021

Evolutionary computation for solving search-based data analytics problems

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 …

Shi Cheng, Lianbo Ma, Hui Lu, Xiujuan Lei, Yuhui Shi

27-07-2020 | Issue 1/2021

Regression analysis of student academic performance using deep learning

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 …

Sadiq Hussain, Silvia Gaftandzhieva, Md. Maniruzzaman, Rositsa Doneva, Zahraa Fadhil Muhsin

26-07-2020 | Issue 1/2021

Design requirements of a modern business Master’s degree course: perspectives of industry practitioners

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 …

Shah J Miah, Ian Solomonides

25-07-2020 | Regular Paper | Issue 6/2020

Visual analysis of retailing store location selection

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 …

Kirlin Li, Yi-Na Li, Hong Yin, Yanpeng Hu, Peng Ye, Changbo Wang

15-07-2020 | Original Article | Issue 2/2020 Open Access

From Shadow IT to Business-managed IT: a qualitative comparative analysis to determine configurations for successful management of IT by business entities

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 …

Andreas Kopper, Markus Westner, Susanne Strahringer


Monopoly or competition: strategic analysis of a retailing technology service provision

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 …

Fengying Hu, Zhenglong Zhou

01-07-2020 | Information & Technologie | Issue 5/2020

Digitalisierung im Corporate Treasury Management

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.

Thomas K. Birrer, Florian Schreiber

01-07-2020 | Wissen – Data Science | Issue 3/2020

Analyse ist nicht alles

Daten, Daten, Daten: Was wir dieses Jahr wissen müssen.
Gerhard Raffling, Dr. Stefan Kaas, Max Gantner, Dirk Möller, Nicole Biel

01-07-2020 | Original Paper | Issue 4/2020

Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography

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 …

Giovanni Improta, Carlo Ricciardi, Giuseppe Cesarelli, Giovanni D’Addio, Paolo Bifulco, Mario Cesarelli

01-07-2020 | Titel | Issue 7-8/2020

Digitale Verwaltung und digitaler Haushalt

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 …

Arne Schneider


Behavioral and Migration Analysis of the Dynamic Customer Relationships on Twitter

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 …

Eleanna Kafeza, Christos Makris, Gerasimos Rompolas, Feras Al-Obeidat

21-06-2020 Open Access

Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis

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 …

Mohammad Soltani Delgosha, Tahereh Saheb, Nastaran Hajiheydari


Verification supported refactoring of embedded sql

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 …

Mirko Spasić, Milena Vujošević Janičić

15-06-2020 | Original Article | Issue 15/2020

A personalized recommendation algorithm based on large-scale real micro-blog data

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 …

Chaoyi Li, Yangsen Zhang

13-06-2020 | Special Issue

Mining of multiple ailments correlated to diabetes mellitus

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 …

Shiva Shankar Reddy, Nilambar Sethi, R. Rajender

12-06-2020 | Original Research

A Framework for Detecting Factors Influencing Students’ Academic Performance: A Longitudinal Analysis

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 …

Angela M. D’Uggento, Francesco D. d’Ovidio, Ernesto Toma, Rosa Ceglie

06-06-2020 | Issue 6/2020

Design and Development of Digital Twins: a Case Study in Supply Chains

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.

Jose Antonio Marmolejo-Saucedo

01-06-2020 | Information & Technologie | Issue 4/2020

Strukturen schaffen für Self-Service Analytics

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 …

Tobias S. Witte

29-05-2020 | Methodologies and Application | Issue 22/2020

Determination of Customer Satisfaction using Improved K-means algorithm

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 …

Hamed Zare, Sima Emadi

27-05-2020 | Issue 2/2021

Automatic tutoring system to support cross-disciplinary training in Big Data

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 …

Xavier Solé-Beteta, Joan Navarro, David Vernet, Agustín Zaballos, Ricardo Torres-Kompen, David Fonseca, Alan Briones

26-05-2020 | Issue 2/2021

Adoption of human metabolic processes as Data Quality Based Models

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 …

Alladoumbaye Ngueilbaye, Hongzhi Wang, Mehak Khan, Daouda Ahmat Mahamat

23-05-2020 | Issue 2/2020

Healthcare predictive analytics for disease progression: a longitudinal data fusion approach

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 …

Yi Zheng, Xiangpei Hu


Cross-Domain Polarity Models to Evaluate User eXperience in E-learning

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 …

Rosario Sanchis-Font, Maria Jose Castro-Bleda, José-Ángel González, Ferran Pla, Lluís-F. Hurtado

21-05-2020 | Original Research | Special Issue 1/2020

Critical Success Factors of the Brazilian Offshore Support Vessel Industry: A Flexible Systems Approach

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 …

Maciel M. Queiroz, André Bergsten Mendes

18-05-2020 | Regular Paper | Issue 6/2020 Open Access

RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems

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 …

Sebastian Kruse, Zoi Kaoudi, Bertty Contreras-Rojas, Sanjay Chawla, Felix Naumann, Jorge-Arnulfo Quiané-Ruiz

12-05-2020 | Regular contribution Open Access

Cyber security in New Space

Analysis of threats, key enabling technologies and challenges

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 …

M. Manulis, C. P. Bridges, R. Harrison, V. Sekar, A. Davis

11-05-2020 | S.I. : Applying Artificial Intelligence to the Internet of Things | Issue 20/2020

Machine learning and data analytics for the IoT

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 …

Erwin Adi, Adnan Anwar, Zubair Baig, Sherali Zeadally

27-04-2020 | Issue 3/2020

Assessing data cybersecurity using ISO/IEC 25012

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.

Javier Verdugo, Moisés Rodríguez

24-04-2020 | Original Research | Issue 2/2020 Open Access

Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda

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 …

Mathias Eggert, Jens Alberts

22-04-2020 | Original Paper

Decision-making approach based on Pythagorean Dombi fuzzy soft graphs

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 …

Muhammad Akram, Gulfam Shahzadi

21-04-2020 | Survey Paper | Issue 9/2020

A survey on context awareness in big data analytics for business applications

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 …

Loan Thi Ngoc Dinh, Gour Karmakar, Joarder Kamruzzaman

18-04-2020 | Issue 1/2021

Quarry: A User-centered Big Data Integration Platform

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 …

Petar Jovanovic, Sergi Nadal, Oscar Romero, Alberto Abelló, Besim Bilalli


OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs

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 …

Amit V. Deokar, Jie Tao

06-04-2020 | Methodologies and Application | Issue 20/2020

A new hybridization of DBSCAN and fuzzy earthworm optimization algorithm for data cube clustering

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 …

Mina Hosseini Rad, Majid Abdolrazzagh-Nezhad

27-03-2020 | Issue 8/2020

An analytical intelligence model for the management of resources for the treatment of high-cost diseases: the case of HIV in Mexico

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 …

Román Rodríguez-Aguilar, Gustavo Rivera-Peña

20-03-2020 | Issue 1/2021

TopoGraph: an End-To-End Framework to Build and Analyze Graph Cubes

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 …

Amine Ghrab, Oscar Romero, Sabri Skhiri, Esteban Zimányi

06-03-2020 | Issue 1/2021

TextBenDS: a Generic Textual Data Benchmark for Distributed 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 …

Ciprian-Octavian Truică, Elena-Simona Apostol, Jérôme Darmont, Ira Assent

03-03-2020 | State of the Art | Issue 2/2021

Maintenance of Enterprise Architecture Models

A Systematic Review of the Scientific Literature

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 …

Nuno Silva, Pedro Sousa, Miguel Mira da Silva

01-03-2020 | Regular Paper | Issue 2/2020

You Are How You Behave – Spatiotemporal Representation Learning for College Student Academic Achievement

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.

Xiao-Lin Li, Li Ma, Xiang-Dong He, Hui Xiong

01-03-2020 | Regular Paper | Issue 2/2020

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation

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 …

Yang Liu, Zhi Li, Wei Huang, Tong Xu, En-Hong Chen

24-02-2020 | Issue 1/2021

Understanding the interplay of artificial intelligence and strategic management: four decades of research in review

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 …

Christoph Keding

18-02-2020 | Original Paper | Issue 1-2/2020 Open Access

Determinants of information system quality and data quality in management accounting

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 …

Thorsten Knauer, Nicole Nikiforow, Sebastian Wagener

15-02-2020 | Issue 1/2021

Innovation management practices: review and guidance for future research in SMEs

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 …

Vanessa Pertuz, Adith Pérez

14-02-2020 | Original Paper | Issue 1-2/2020 Open Access

Digital data and management accounting: why we need to rethink research methods

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 …

Alnoor Bhimani

13-02-2020 | Issue 2/2020

Cluster query: a new query pattern on temporal knowledge graph

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 …

Jinjing Huang, Wei Chen, An Liu, Weiqing Wang, Hongzhi Yin, Lei Zhao

08-02-2020 | Original Paper | Issue 1-2/2020 Open Access

Digitization of the budgeting process: determinants of the use of business analytics and its effect on satisfaction with the budgeting process

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 …

Mareike Bergmann, Christian Brück, Thorsten Knauer, Anja Schwering

01-02-2020 | Betriebspraxis & Führung | Issue 1-2/2020

Mit Vertriebsplanung die Umsatzweichen stellen

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 …

Eva-Susanne Krah

01-02-2020 | Schwerpunkt | Issue 2/2020

Operative Transparenz im Einkauf schaffen

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 …

David Simonsen, Michael Bouscheljong

01-02-2020 | Unternehmenssteuerung | Issue 2/2020

Digitalisierung steuerbar machen

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. 

Hartmut Reinhard, Ricco Rentz, Timo Sommerfeld

31-01-2020 | Fachbeitrag | Issue 1/2020 Open Access

GridTables: A One-Size-Fits-Most H2TAP Data Store

Vision and Concept

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 …

Marcus Pinnecke, Gabriel Campero Durand, David Broneske, Roman Zoun, Gunter Saake

29-01-2020 | Fachbeitrag | Issue 1/2020

Data Lakes auf den Grund gegangen

Herausforderungen und Forschungslücken in der Industriepraxis

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 …

Corinna Giebler, Christoph Gröger, Eva Hoos, Rebecca Eichler, Holger Schwarz, Bernhard Mitschang

04-01-2020 | Methodologies and Application | Issue 16/2020

Multidimensional agro-economic model with soft-IoT framework

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 …

Xiaowei Chen, Harry Haoxiang Wang, Bin Tian

03-01-2020 | Regular Paper | Issue 7/2020

Verifying the manipulation of data objects according to business process and data models

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 …

José Miguel Pérez-Álvarez, María Teresa Gómez-López, Rik Eshuis, Marco Montali, Rafael M. Gasca

03-01-2020 | Issue 5/2020 Open Access

Sociodemographic, personal, and disease-related determinants of referral to patient-reported outcome-based follow-up of remote outpatients: a prospective cohort study

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 …

Liv Marit Valen Schougaard, Annette de Thurah, Jakob Christensen, Kirsten Lomborg, Helle Terkildsen Maindal, Caroline Trillingsgaard Mejdahl, Jesper Medom Vestergaard, Trine Nøhr Winding, Karin Biering, Niels Henrik Hjollund

01-01-2020 | ISAAI’19 Proceedings — Artificial Intelligence | Issue 1/2020

First International Symposium On Applied Artificial Intelligence (ISAAI’19)

Claudia Linnhoff-Popien

01-01-2020 | Regular Paper | Issue 1/2020

CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance

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) …

Zheng-Hao Jin, Haiyang Shi, Ying-Xin Hu, Li Zha, Xiaoyi Lu

16-12-2019 | Original Research | Issue 1/2020

The Mutual Relation Between Enterprise Resource Planning and Knowledge Management: A Review

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 …

Ehsan Samiei, Jafar Habibi

12-12-2019 | REVIEW PAPER | Issue 3/2020

Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation

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 …

Ana Babić Rosario, Kristine de Valck, Francesca Sotgiu

11-12-2019 | Original Research | Issue 1/2020 Open Access

Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management

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 …

Tino T. Herden

06-12-2019 | Original Research | Issue 1/2020

Configuration of Data Monetization: A Review of Literature with Thematic Analysis

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 …

Payam Hanafizadeh, Mohammad Reza Harati Nik

06-12-2019 | Issue 6/2020

A six-layer architecture for the digital twin: a manufacturing case study implementation

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 …

A. J. H. Redelinghuys, A. H. Basson, K. Kruger

01-12-2019 | Research | Issue 1/2019 Open Access

E-literacy-adoption model and performance of women-owned SMEs in Southwestern Nigeria

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 …

Ojinga G. Omiunu

01-12-2019 | Research | Issue 1/2019 Open Access

Decision-makers impact on the internationalization of high-technology firms in emerging markets

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 …

Michael Neubert, Augustinus Stijn Van Der Krogt

01-12-2019 | Schlaglicht | Issue 12/2019

Bilder von morgen

Worauf sich Versicherer einstellen und was sie umstellen müssen. Zehn Szenarien für die Zukunft
Michael Stanczyk

01-12-2019 | Survey paper | Issue 1/2019 Open Access

A survey on data storage and placement methodologies for Cloud-Big Data ecosystem

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.

Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, Yiannis Verginadis

01-12-2019 | Research | Issue 1/2019 Open Access

An adaptive and real-time based architecture for financial data integration

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 …

Noussair Fikri, Mohamed Rida, Noureddine Abghour, Khalid Moussaid, Amina El Omri

01-12-2019 | Research | Issue 1/2019 Open Access

Scalable architecture for Big Data financial analytics: user-defined functions vs. SQL

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 …

Kurt Stockinger, Nils Bundi, Jonas Heitz, Wolfgang Breymann

01-12-2019 | Methodology | Issue 1/2019 Open Access

A novel approach for big data processing using message passing interface based on memory mapping

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 …

Saad Ahmed Dheyab, Mohammed Najm Abdullah, Buthainah Fahran Abed

01-12-2019 | Methodology | Issue 1/2019 Open Access

Verifying big data topologies by-design: a semi-automated approach

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 …

Marcello M. Bersani, Francesco Marconi, Damian A. Tamburri, Andrea Nodari, Pooyan Jamshidi

01-12-2019 | Methodology | Issue 1/2019 Open Access

Smart literature review: a practical topic modelling approach to exploratory literature review

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 …

Claus Boye Asmussen, Charles Møller

01-12-2019 | Research | Issue 1/2019 Open Access

Big data analytics: a link between knowledge management capabilities and superior cyber protection

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 …

Peter Oluseyi Obitade

01-12-2019 | Research | Issue 1/2019 Open Access

Reality mining and predictive analytics for building smart applications

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 …

Hiba Asri, Hajar Mousannif, Hassan Al Moatassime

01-12-2019 | Survey paper | Issue 1/2019 Open Access

On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review

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 …

Simon Elias Bibri

01-12-2019 | Research | Issue 1/2019 Open Access

Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems

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 …

Eduarda Costa, Carlos Costa, Maribel Yasmina Santos

01-12-2019 | Research | Issue 1/2019 Open Access

DOD-ETL: distributed on-demand ETL for near real-time business intelligence

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 …

Gustavo V. Machado, Ítalo Cunha, Adriano C. M. Pereira, Leonardo B. Oliveira

01-12-2019 | Trends | Issue 6/2019

ERP-Trends 2020: Vom Server in die Cloud

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 …

Ertan Özdil

01-12-2019 | Original Article | Issue 1/2019

Building a soft skill taxonomy from job openings

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 …

Imane Khaouja, Ghita Mezzour, Kathleen M. Carley, Ismail Kassou

01-12-2019 | Original Article | Issue 1/2019

Social BI to understand the debate on vaccines on the Web and social media: unraveling the anti-, free, and pro-vax communities in Italy

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 …

Matteo Francia, Enrico Gallinucci, Matteo Golfarelli

01-12-2019 | Issue 6/2019

Big Data Analytics in Healthcare: Data-Driven Methods for Typical Treatment Pattern Mining

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 …

Chonghui Guo, Jingfeng Chen

01-12-2019 | Issue 6/2019

DCWord: A Novel Deep Learning Approach to Deceptive Review Identification by Word Vectors

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 …

Wen Zhang, Qiang Wang, Xiangjun Li, Taketoshi Yoshida, Jian Li

23-11-2019 | Methodologies and Application | Issue 1/2020

Application of the TOPSİS method to improve software efficiency and to optimize its management

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 …

Shafagat Mahmudova

19-11-2019 | Original Paper

Scalable intelligent data-driven decision making for cognitive cities

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 …

Akshi Kumar, Arunima Jaiswal

19-11-2019 | Special Issue Paper | Issue 2-3/2020

General dynamic Yannakakis: conjunctive queries with theta joins under updates

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 …

Muhammad Idris, Martín Ugarte, Stijn Vansummeren, Hannes Voigt, Wolfgang Lehner

15-11-2019 | HAUPTBEITRAG | Issue 6/2020

Dateninhalte besser begreifen mit Data Storytelling

Daten, der Schlüssel zum Erfolg?
Olga Mordvinova, Sandra Nieves

13-11-2019 | Foundations | Issue 2/2020

Survey on soft computing

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 …

Yun Liang, Tian-ping He

13-11-2019 | Original Article | Issue 6/2020

Mk-NNG-DPC: density peaks clustering based on improved mutual K-nearest-neighbor graph

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 …

Jian-cong Fan, Pei-ling Jia, Linqiang Ge

01-11-2019 | Information & Technologie | Issue 8/2019

Das digitale Potenzial der Daten besser nutzen

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 …

Marino Bundi, Imke Keimer

01-11-2019 | Controller & Manager | Issue 8/2019

State-of-the-art Management Accounting for SMEs

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 …

Serap Demiröz

01-11-2019 | Unternehmenssteuerung | Issue 8/2019

"Wir brauchen eine Infrastruktur, die es erlaubt, schnelle Entscheidungen zu treffen"

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.

Utz Schäffer

26-10-2019 | Issue 6/2020

A distributed intelligent mobile application for analyzing travel big data analytics

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 …

L. Maria Michael Visuwasam, D. Paul Raj

22-10-2019 | Issue 4/2019 Open Access

Identification of k-Most Promising Features to Set Blue Ocean Strategy in Decision Making

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 …

Ritesh Kumar, Partha Sarathi Bishnu

16-10-2019 | Issue 3/2020

Competitive Intelligence and Disclosure of Cost Information in Duopoly

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 …

Tao Wang

11-10-2019 | Open Forum | Issue 3/2020

“Intelligent” finance and treasury management: what we can expect

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 …

Petr Polak, Christof Nelischer, Haochen Guo, David C. Robertson

10-10-2019 | Original Paper | Issue 8-9/2019

Riding on the wave of digitization: insights how and under what settings dynamic capabilities facilitate digital-driven business model change

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 …

Daliborka Witschel, Aaron Döhla, Maximilian Kaiser, Kai-Ingo Voigt, Thilo Pfletschinger

01-10-2019 | Titel | Issue 10/2019

Mehr Vertriebspower mit externer Salesforce

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 …

Josef Pölcher

01-10-2019 | Titel | Issue 10/2019

Mit klugen BI-Tools Kunden begeistern

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 …

Ralf Haberich
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