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Business & Information Systems Engineering OnlineFirst articles

Business & Information Systems Engineering OnlineFirst articles

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 …

Autoren:
Soroosh Nalchigar, Eric Yu

02.08.2018 | Research Paper

BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms

Modular SaaS platforms that can flexibly be configured with software services, microservices, and the advent of the API economy provide new opportunities to realize even highly customized solutions in the cloud. The success of such endeavors …

Autoren:
Dr. Sebastian Schlauderer, Prof. Dr. Sven Overhage

20.07.2018 | Research Paper

Multi User Context-Aware Service Selection for Mobile Environments

A Heuristic Technique

Modern service systems build on top of service dominant designs which encompass contextualization (value-in-context) and collaboration (value-in-use) between users and service providers. Processes in this domain often require the consideration of …

Autoren:
Michael Bortlik, Prof. Dr. Bernd Heinrich, Michael Mayer

19.07.2018 | Editorial

The New Fontiers of Service Systems Engineering

Automation, Interaction, Openness and Learning
Autoren:
Prof. Dr. Tilo Böhmann, Prof. Dr. Jan Marco Leimeister, Prof. Dr. Kathrin Möslein

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 …

Autoren:
Nijat Mehdiyev, Joerg Evermann, Peter Fettke

16.07.2018 | Catchword Open Access

Digital Disruption

Prominent digital innovations such as Uber, Airbnb, and Spotify challenge the existence of dominant firms and cause severe systemic effects in industries and markets. Such radical digital innovation and its wider systemic effects – frequently …

Autoren:
Daniel A. Skog, Dr. Henrik Wimelius, Dr. Johan Sandberg

10.07.2018 | Call for Papers

Call for Papers Issue 1/2020

High Performance Business Computing

High Performance Business Computing (HPBC) is the application of models, methodologies, tools and technologies of High Performance Computing (HPC) (e.g., Hager and Wellein 2010 ) to business problems. While its neighbor discipline, High Performance …

Autoren:
Prof. Dr. Guido Schryen, Prof. Dr. Natalia Kliewer, Prof. Dr. Andreas Fink

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.

Autoren:
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 …

Autoren:
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 …

Autoren:
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 …

Autoren:
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.

Autoren:
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 …

Autoren:
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.

Autoren:
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 …

Autoren:
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 …

Autoren:
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 …

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

22.02.2018 | Research Paper

Recombinant Service Systems Engineering

Although many methods have been proposed for engineering service systems and customer solutions, most of these approaches give little consideration to recombinant service innovation. Recombinant innovation refers to reusing and integrating …

Autoren:
Prof. Dr. Daniel Beverungen, Hedda Lüttenberg, Verena Wolf

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 …

Autoren:
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 …

Autoren:
Sergio Orenga-Roglá, Ricardo Chalmeta