@article{BeckerDelfmannDietrichetal.2016, author = {Becker, J{\"o}rg and Delfmann, Patrick and Dietrich, Hanns-Alexander and Steinhorst, Matthias and Eggert, Mathias}, title = {Business Process Compliance Checking — Applying and Evaluating a Generic Pattern Matching Approach for Conceptual Models in the Financial Sector}, series = {Information Systems Frontiers}, volume = {18}, journal = {Information Systems Frontiers}, number = {2}, publisher = {Springer}, address = {Berlin}, issn = {1572-9419}, doi = {10.1007/s10796-014-9529-y}, pages = {359 -- 405}, year = {2016}, abstract = {Given the strong increase in regulatory requirements for business processes the management of business process compliance becomes a more and more regarded field in IS research. Several methods have been developed to support compliance checking of conceptual models. However, their focus on distinct modeling languages and mostly linear (i.e., predecessor-successor related) compliance rules may hinder widespread adoption and application in practice. Furthermore, hardly any of them has been evaluated in a real-world setting. We address this issue by applying a generic pattern matching approach for conceptual models to business process compliance checking in the financial sector. It consists of a model query language, a search algorithm and a corresponding modelling tool prototype. It is (1) applicable for all graph-based conceptual modeling languages and (2) for different kinds of compliance rules. Furthermore, based on an applicability check, we (3) evaluate the approach in a financial industry project setting against its relevance for decision support of audit and compliance management tasks.}, language = {en} } @article{BeckerDelfmannEggertetal.2012, author = {Becker, J{\"o}rg and Delfmann, Patrick and Eggert, Mathias and Schwittay, Sebastian}, title = {Generalizability and Applicability of Model-Based Business Process Compliance-Checking Approaches — A State-of-the-Art Analysis and Research Roadmap}, series = {Business Research : BuR}, volume = {5}, journal = {Business Research : BuR}, number = {2}, publisher = {Springer}, address = {Heidelberg}, issn = {1866-8658}, doi = {10.1007/BF03342739}, pages = {221 -- 247}, year = {2012}, abstract = {With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.}, language = {en} } @incollection{Eggert2019, author = {Eggert, Mathias}, title = {Big Data Research - How to Structure the Changes of the Past Decade?}, series = {The Art of Structuring}, booktitle = {The Art of Structuring}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-06234-7}, doi = {10.1007/978-3-030-06234-7_26}, pages = {271 -- 281}, year = {2019}, abstract = {In the past decade, many IS researchers focused on researching the phenomenon of Big Data. At the same time, the relevance of data protection gets more attention than ever before. In particular, since the enactment of the European General Data Protection Regulation in May 2018 Information Systems research should provide answers for protecting personal data. The article at hand presents a structuring framework for Big Data research outcome and the consideration of data protection. IS Researchers might use the framework in order to structure Big Data literature and to identify research gaps that should be addressed in the future.}, language = {en} } @article{EggertAlberts2020, author = {Eggert, Mathias and Alberts, Jens}, title = {Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda}, series = {Business Research}, volume = {2020}, journal = {Business Research}, number = {13}, publisher = {Springer}, address = {Heidelberg}, issn = {2198-2627}, doi = {10.1007/s40685-020-00108-y}, pages = {685 -- 739}, year = {2020}, abstract = {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, the collection and analysis of structured data were the focus of interest, followed by unstructured data since the early 1990s. The third wave of BI \& A comprises unstructured and sensor data of mobile devices. The article at hand aims at drawing a comprehensive overview of the status quo in relevant BI \& A research of the current decade, focusing on the third wave of BI \& A. By this means, the paper's contribution is fourfold. First, a systematically developed taxonomy for BI \& A 3.0 research, containing seven dimensions and 40 characteristics, is presented. Second, the results of a structured literature review containing 75 full research papers are analyzed by applying the developed taxonomy. The analysis provides an overview on the status quo of BI \& A 3.0. Third, the results foster discussions on the predicted and observed developments in BI \& A research of the past decade. Fourth, research gaps of the third wave of BI \& A research are disclosed and concluded in a research agenda.}, language = {en} } @article{EggertMoulen2020, author = {Eggert, Mathias and Moulen, Tobias}, title = {Selektion von Gesch{\"a}ftsprozessen zur Anwendung von Robotic Process Automation am Beispiel einer Versicherung}, series = {HMD Praxis der Wirtschaftsinformatik}, volume = {57}, journal = {HMD Praxis der Wirtschaftsinformatik}, number = {6}, publisher = {Springer}, address = {Weinheim}, issn = {1436-3011}, doi = {10.1365/s40702-020-00665-0}, pages = {1150 -- 1162}, year = {2020}, abstract = {H{\"a}ufig bremsen geringe IT-Ressourcen, fehlende Softwareschnittstellen oder eine veraltete und komplex gewachsene Systemlandschaft die Automatisierung von Gesch{\"a}ftsprozessen. Robotic Process Automation (RPA) ist eine vielversprechende Methode, um Gesch{\"a}ftsprozesse oberfl{\"a}chenbasiert und ohne gr{\"o}ßere Systemeingriffe zu automatisieren und Medienbr{\"u}che abzubauen. Die Auswahl der passenden Prozesse ist dabei f{\"u}r den Erfolg von RPA-Projekten entscheidend. Der vorliegende Beitrag liefert daf{\"u}r Selektionskriterien, die aus einer qualitativen Inhaltanalyse von elf Interviews mit RPA-Experten aus dem Versicherungsumfeld resultieren. Das Ergebnis umfasst eine gewichtetet Liste von sieben Dimensionen und 51 Prozesskriterien, welche die Automatisierung mit Softwarerobotern beg{\"u}nstigen bzw. deren Nichterf{\"u}llung eine Umsetzung erschweren oder sogar verhindern. Die drei wichtigsten Kriterien zur Auswahl von Gesch{\"a}ftsprozessen f{\"u}r die Automatisierung mittels RPA umfassen die Entlastung der an dem Prozess mitwirkenden Mitarbeiter (Arbeitnehmer{\"u}berlastung), die Ausf{\"u}hrbarkeit des Prozesses mittels Regeln (Regelbasierte Prozessteuerung) sowie ein positiver Kosten-Nutzen-Vergleich. Praktiker k{\"o}nnen diese Kriterien verwenden, um eine systematische Auswahl von RPA-relevanten Prozessen vorzunehmen. Aus wissenschaftlicher Perspektive stellen die Ergebnisse eine Grundlage zur Erkl{\"a}rung des Erfolgs und Misserfolgs von RPA-Projekten dar.}, language = {de} } @article{EggertKling2023, author = {Eggert, Mathias and Kling, Rene}, title = {How to distribute charging requests of electronic vehicles? A reservation-based approach}, series = {International Journal of Intelligent Transportation Systems Research}, volume = {21}, journal = {International Journal of Intelligent Transportation Systems Research}, number = {2023}, publisher = {Springer}, address = {Berlin, Heidelberg, New York}, issn = {1868-8659}, doi = {10.1007/s13177-023-00367-z}, pages = {437 -- 460}, year = {2023}, abstract = {The number of electronic vehicles increase steadily while the space for extending the charging infrastructure is limited. In particular in urban areas, where parking spaces in attractive areas are famous, opportunities to setup new charging stations is very limited. This leads to an overload of some very attractive charging stations and an underutilization of less attractive ones. Against this background, the paper at hand presents the design of an e-vehicle reservation system that aims at distributing the utilization of the charging infrastructure, particularly in urban areas. By applying a design science approach, the requirements for a reservation-based utilization approach are elicited and a model for a suitable distribution approach and its instantiation are developed. The artefact is evaluated by simulating the distribution effects based on data of real charging station utilizations.}, language = {en} } @incollection{EggertZaehlWolfetal.2023, author = {Eggert, Mathias and Z{\"a}hl, Philipp M. and Wolf, Martin R. and Haase, Martin}, title = {Applying leaderboards for quality improvement in software development projects}, series = {Software Engineering for Games in Serious Contexts}, booktitle = {Software Engineering for Games in Serious Contexts}, editor = {Cooper, Kendra M.L. and Bucchiarone, Antonio}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-33337-8 (Print)}, doi = {10.1007/978-3-031-33338-5_11}, pages = {243 -- 263}, year = {2023}, abstract = {Software development projects often fail because of insufficient code quality. It is now well documented that the task of testing software, for example, is perceived as uninteresting and rather boring, leading to poor software quality and major challenges to software development companies. One promising approach to increase the motivation for considering software quality is the use of gamification. Initial research works already investigated the effects of gamification on software developers and come to promising. Nevertheless, a lack of results from field experiments exists, which motivates the chapter at hand. By conducting a gamification experiment with five student software projects and by interviewing the project members, the chapter provides insights into the changing programming behavior of information systems students when confronted with a leaderboard. The results reveal a motivational effect as well as a reduction of code smells.}, language = {en} }