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Business & Information Systems Engineering OnlineFirst articles

16.10.2018 | Editorial


Prof. Dr. Martin Bichler

16.10.2018 | Research Paper

Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization

Automatic text summarization can be applied to extract summaries from competitor intelligence (CI) corpora that organizations create by gathering textual data from the Internet. Such a representation of CI text is easier for managers to interpret …

Swapnajit Chakraborti, Shubhamoy Dey

08.10.2018 | Catchword

Digital Innovation

Digital technologies contribute to the transformation of large parts of our economy and society. Not only do the five most valuable companies in the world belong to the digital sector, As per December 31st 2017, the five biggest companies in the …

Prof. Dr. Raffaele Fabio Ciriello, Prof. Dr. Alexander Richter, Prof. Dr. Gerhard Schwabe

08.10.2018 | Research Paper

Why Incorporating a Platform-Intermediary can Increase Crowdsourcees’ Engagement

Case-Study Based Insights

While the crowdsourcer’s job is to encourage valuable contributions and sustained commitment in a cost-effective manner, it seems as if the primary attention of management and research is still centered on the evaluation of contributions rather …

Julia Troll, Ivo Blohm, Jan Marco Leimeister

06.09.2018 | Research Notes

A Value Co-creation Perspective on Information Systems Analysis and Design

Information systems analysis and design (ISAD) ensures the design of information systems (IS) in line with the requirements of a business environment. Since ISAD approaches follow the currently dominant logic of business, the rise of a new and …

Kazem Haki, Michael Blaschke, Stephan Aier, Robert Winter

05.09.2018 | Research Paper

Conquering the Challenge of Continuous Business Model Improvement

Design of a Repeatable Process

In an atmosphere of rapidly changing business environments and intense competition, adequate and timely business models are crucial for companies. Current research mainly focuses on business model development that often neglects the legacy of …

Benedikt Simmert, Philipp Alexander Ebel, Christoph Peters, Eva Alice Christiane Bittner, Jan Marco Leimeister

06.08.2018 | Research Paper

Designing Business Analytics Solutions

A Model-Driven Approach

The design and development of data analytics systems, as a new type of information systems, has proven to be complicated and challenging. Model based approaches from information systems engineering can potentially provide methods, techniques, and …

Soroosh Nalchigar, Eric Yu

19.07.2018 | Research Paper

A Novel Business Process Prediction Model Using a Deep Learning Method

The ability to proactively monitor business processes is a main competitive differentiator for firms. Process execution logs generated by process aware information systems help to make process specific predictions for enabling a proactive …

Nijat Mehdiyev, Joerg Evermann, Peter Fettke

20.06.2018 | Research Paper

Conceptual Framework for SDSS Development with an Application in the Retail Industry

Spatial information is becoming crucial for strategic decision making, but accessing and understanding this information is not easy. Dedicated tools can support the decision process in many ways, such as visualization interfaces or data analyses.

Gautier Daras, Bruno Agard, Bernard Penz

15.06.2018 | Research Paper

Hearing the Voice of Citizens in Smart City Design: The CitiVoice Framework

In the last few years, smart cities have attracted considerable attention because they are considered a response to the complex challenges that modern cities face. However, smart cities often do not optimally reach their objectives if the …

Anthony Simonofski, Dr. Estefanía Serral Asensio, Dr. Johannes De Smedt, Prof. Dr. Monique Snoeck

07.06.2018 | Research Paper Open Access

Guided Interaction Exploration and Performance Analysis in Artifact-Centric Process Models

Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the …

ir. Maikel L. van Eck, Dr. Natalia Sidorova, Prof. Dr. ir. Wil M. P. van der Aalst

14.05.2018 | Research Paper

OT Modeling: The Enterprise Beyond IT

Enterprises are composed of an enormous number of elements (e.g., organizational units, human resources, production processes, and IT systems) typically classified in the business or the IT domain. However, some crucial elements do not belong in …

Paola Lara, Mario Sánchez, Jorge Villalobos

03.05.2018 | Research Paper

Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study

Generating insights and value from data has become an important asset for organizations. At the same time, the need for experts in analytics is increasing and the number of analytics applications is growing. Recently, a new trend has emerged, i.e.

Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen

30.04.2018 | Research Notes

Mathematical Optimization and Algorithms for Offshore Wind Farm Design: An Overview

Wind energy is a fast evolving field that has attracted a lot of attention and investments in the last decades. Being an increasingly competitive market, it is very important to minimize establishment costs and increase production profits already …

Martina Fischetti, David Pisinger

23.04.2018 | Research Paper

Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms

A Process Tree and Log Generator

Within the process mining domain, research on comparing control-flow (CF) discovery techniques has gained importance. A crucial building block of empirical analysis of CF discovery techniques is obtaining the appropriate evaluation data.

Toon Jouck, Prof. Dr. Benoît Depaire

14.03.2018 | Research Paper Open Access

EM-OLAP Framework

Econometric Model Transformation Method for OLAP Design in Intelligence Systems

Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article …

Jan Tyrychtr, Martin Pelikán, Hana Štiková, Ivan Vrana

23.02.2018 | Research Paper

Decision Support for the Automotive Industry

Forecasting Residual Values Using Artificial Neural Networks

In the automotive industry, it is very common for new vehicles to be leased rather than sold. This implies forecasting an accurate residual value for the vehicles, which is a major factor for determining monthly leasing rates. Either a systematic …

Christoph Gleue, Dennis Eilers, Prof. Dr. Hans-Jörg von Mettenheim, Prof. Dr. Michael H. Breitner

23.02.2018 | State of the Art

Simulation-Based Research in Information Systems

Epistemic Implications and a Review of the Status Quo

Simulations provide a useful methodological approach for studying the behavior of complex socio-technical information systems (IS), in which humans and IT artifacts interact to process information. However, the use of simulations is relatively new …

Jannis Beese, M. Kazem Haki, Stephan Aier, Robert Winter

21.02.2018 | Research Paper

The Price of Privacy

An Evaluation of the Economic Value of Collecting Clickstream Data

The analysis of clickstream data facilitates the understanding and prediction of customer behavior in e-commerce. Companies can leverage such data to increase revenue. For customers and website users, on the other hand, the collection of …

Annika Baumann, Johannes Haupt, Fabian Gebert, Stefan Lessmann

19.12.2017 | Research Paper

Methodology for the Implementation of Knowledge Management Systems 2.0

A Case Study in an Oil and Gas Company

Web 2.0 and Big Data tools can be used to develop knowledge management systems based on facilitating the participation and collaboration of people in order to enhance knowledge. The paper presents a methodology that can help organizations with the …

Sergio Orenga-Roglá, Ricardo Chalmeta