TY - CONF
AU - Seutter, Janina
AU - Bartelheimer, Christian
AU - Kundisch, Dennis
ID - 43027
T2 - Proceedings of the 18th International Conference on Design Science Research in Information Systems and Technology
TI - Supporting Innovation through B2B Reviews – A Taxonomy of B2B Online Review Environments
ER -
TY - JOUR
AU - Bartelheimer, Christian
AU - zur Heiden, Philipp
AU - Berendes, Carsten Ingo
AU - Beverungen, Daniel
ID - 46478
JF - European Journal of Information Systems
KW - Library and Information Sciences
KW - Information Systems
SN - 0960-085X
TI - Designing digital actor engagement platforms for local high streets: an action design research study
ER -
TY - GEN
AU - Beverungen, Daniel
AU - zur Heiden, Philipp
AU - Lehrer, Christiane
AU - Trier, Matthias
AU - Bartelheimer, Christian
AU - Bradt, Tobias
AU - Distel, Bettina
AU - Drews, Paul
AU - Ehmke, Jan Fabian
AU - Fill, Hans-Georg
AU - Flath, Christoph M.
AU - Fridgen, Gilbert
AU - Grisold, Thomas
AU - Janiesch, Christian
AU - Janson, Andreas
AU - Krancher, Oliver
AU - Krönung, Julia
AU - Kundisch, Dennis
AU - Márton, Attila
AU - Mirbabaie, Milad
AU - Morana, Stefan
AU - Mueller, Benjamin
AU - Müller, Oliver
AU - Oberländer, Anna Maria
AU - Peters, Christoph
AU - Peukert, Christoph
AU - Reuter-Oppermann, Melanie
AU - Riehle, Dennis M.
AU - Robra-Bissantz, Susanne
AU - Röglinger, Maximilian
AU - Rosenthal, Kristina
AU - Schryen, Guido
AU - Schütte, Reinhard
AU - Strahringer, Susanne
AU - Urbach, Nils
AU - Wessel, Lauri
AU - Zavolokina, Liudmila
AU - Zschech, Patrick
ID - 47107
TI - Implementing Digital Responsibility through Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research
ER -
TY - CONF
AB - Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario.
AU - Brock, Jonathan
AU - Löhr, Bernd
AU - Brennig, Katharina
AU - Seger, Thilo
AU - Bartelheimer, Christian
AU - von Enzberg, Sebastian
AU - Kühn, Arno
AU - Dumitrescu, Roman
ID - 50459
T2 - European Conference on Information Systems
TI - A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities
ER -
TY - JOUR
AB - AbstractWorkarounds are goal‐driven deviations from the standard operating procedures performed to overcome obstacles constraining day‐to‐day work. Despite starting as temporary fixes, they can become established across an organisation and trigger the innovation of processes and IT artefacts that can resolve misfits permanently. Although prior research has elicited antecedents and types of workarounds, it is not known how workarounds diffuse in an organisation and, thereby, innovating co‐workers' activities, IT artefacts, and organisational structures. The results of our multiple two‐year case study provide unique empirical insights into the diffusion of workarounds and how they can act as generative mechanisms for bottom‐up process innovation.
AU - Bartelheimer, Christian
AU - Wolf, Verena
AU - Beverungen, Daniel
ID - 51770
IS - 5
JF - Information Systems Journal
KW - Computer Networks and Communications
KW - Information Systems
KW - Software
SN - 1350-1917
TI - Workarounds as generative mechanisms for bottom‐up process innovation—Insights from a multiple case study
VL - 33
ER -
TY - JOUR
AB - AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.
AU - Bartelheimer, Christian
AU - zur Heiden, Philipp
AU - Lüttenberg, Hedda
AU - Beverungen, Daniel
ID - 35732
IS - 1
JF - Electronic Markets
KW - Management of Technology and Innovation
KW - Marketing
KW - Computer Science Applications
KW - Economics and Econometrics
KW - Business and International Management
SN - 1019-6781
TI - Systematizing the lexicon of platforms in information systems: a data-driven study
VL - 32
ER -
TY - CONF
AU - Sven, Weinzierl
AU - Bartelheimer, Christian
AU - Zilker, Sandra
AU - Beverungen, Daniel
AU - Matzner, Martin
ID - 41487
T2 - Proceedings of the 26th Pacific Asia Conference on Information Systems (PACIS)
TI - A Method for Predicting Workarounds in Business Processes
ER -
TY - CONF
AB - Now accounting for more than 80% of a firm's worth, brands have become essential assets for modern organizations. However, methods and techniques for the monetary valuation of brands are still under-researched. Hence, the objective of this study is to evaluate the utility of explanatory statistical models and machine learning approaches for explaining and predicting brand value. Drawing upon the case of the most valuable English football brands during the 2016/17 to 2020/21 seasons, we demonstrate how to operationalize Aaker's (1991) theoretical brand equity framework to collect meaningful qualitative and quantitative feature sets. Our explanatory models can explain up to 77% of the variation in brand valuations across all clubs and seasons, while our predictive approach can predict out-of-sample observations with a mean absolute percentage error (MAPE) of 14%. Future research can build upon our results to develop domain-specific brand valuation methods while enabling managers to make better-informed investment decisions.
AU - Caron, Matthew
AU - Bartelheimer, Christian
AU - Müller, Oliver
ID - 41486
T2 - Proceeding of the 28th Americas Conference on Information Systems (AMCIS)
TI - Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation
ER -
TY - CONF
AB - Existing process mining methods are primarily designed for processes that have reached a high degree of digitalization and standardization. In contrast, the literature has only begun to discuss how process mining can be applied to knowledge-intensive processes—such as product innovation processes—that involve creative activities, require organizational flexibility, depend on single actors’ decision autonomy, and target process-external goals such as customer satisfaction. Due to these differences, existing Process Mining methods cannot be applied out-of-the-box to analyze knowledge-intensive processes. In this paper, we employ Action Design Research (ADR) to design and evaluate a process mining approach for knowledge-intensive processes. More specifically, we draw on the two processes of product innovation and engineer-to-order in manufacturing contexts. We collected data from 27 interviews and conducted 49 workshops to evaluate our IT artifact at different stages in the ADR process. From a theoretical perspective, we contribute five design principles and a conceptual artifact that prescribe how process mining ought to be designed for knowledge-intensive processes in manufacturing. From a managerial perspective, we demonstrate how enacting these principles enables their application in practice.
AU - Löhr, Bernd
AU - Brennig, Katharina
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
AU - Müller, Oliver
ID - 36912
SN - 978-3-031-16103-2
T2 - International Conference on Business Process Management
TI - Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing
ER -
TY - CONF
AU - Bartelheimer, Christian
AU - Wolf, Verena
AU - Langhorst, Nico
AU - Seegers, Florian
ID - 16800
T2 - Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology
TI - Designing Digital Community Service Platforms for Crowd-Based Services in Urban Areas
ER -
TY - JOUR
AU - Beverungen, Daniel
AU - Buijs, Joos C. A. M.
AU - Becker, Jörg
AU - Di Ciccio, Claudio
AU - van der Aalst, Wil M. P.
AU - Bartelheimer, Christian
AU - vom Brocke, Jan
AU - Comuzzi, Marco
AU - Kraume, Karsten
AU - Leopold, Henrik
AU - Matzner, Martin
AU - Mendling, Jan
AU - Ogonek, Nadine
AU - Post, Till
AU - Resinas, Manuel
AU - Revoredo, Kate
AU - del-Río-Ortega, Adela
AU - La Rosa, Marcello
AU - Santoro, Flávia Maria
AU - Solti, Andreas
AU - Song, Minseok
AU - Stein, Armin
AU - Stierle, Matthias
AU - Wolf, Verena
ID - 17156
JF - Business & Information Systems Engineering
SN - 2363-7005
TI - Seven Paradoxes of Business Process Management in a Hyper-Connected World
ER -
TY - CONF
AU - Wolf, Verena
AU - Franke, Alena
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
ID - 15501
T2 - Proceedings of the 15th International Conference on Wirtschaftsinformatik
TI - Establishing Smart Service Systems is a Challenge: A Case Study on Pitfalls and Implications
ER -
TY - CONF
AU - Wolf, Verena
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
ID - 4517
T2 - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52)
TI - Digitalization of Work Systems—An Organizational Routines’ Perspective
ER -
TY - CONF
AU - Betzing, Jan H.
AU - Bartelheimer, Christian
AU - Niemann, Marco
AU - Berendes, Carsten Ingo
AU - Beverungen, Daniel
ID - 9617
T2 - Proceedings of the 27th European Conference on Information Systems (ECIS)
TI - Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail
ER -
TY - CHAP
AU - Beverungen, Daniel
AU - Bartelheimer, Christian
AU - Wolf, Verena
ID - 13178
SN - 978-3-662-59516-9
T2 - Digitale Dienstleistungsinnovationen – Smart Services agil und kundenorientiert entwickeln
TI - Smart Service Systems als Handlungsfeld einer konvergierenden Dienstleistungsforschung
ER -
TY - GEN
AU - Post, Till
AU - Heuermann, Aaron
AU - Wiesner, Stefan
AU - Olschewski, Detlef
AU - Maaß, Wolfgang
AU - Klatt, Rüdiger
AU - Jussen, Philipp
AU - Ragab, Sherif
AU - Senderek, Roman
AU - Höckmayr, Benedikt
AU - Schulz, Thomas
AU - Meyer, Kyrill
AU - Heinen, Ewald
AU - Hocken, Christian
AU - Fischer, Simon
AU - Lattemann, Christoph
AU - Redlich, Beke
AU - Schlimm, Katrin
AU - Ziegler, Christoph
AU - Rechtien, Christopher
AU - Schröder, Markus
AU - Kube, Bernhard
AU - Pöppelbuß, Jens
AU - Wiesche, Manuel
AU - Semmann, Martin
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
AU - Lüttenberg, Hedda
AU - Wolf, Verena
AU - Bongers, Franziska
AU - Winkler, Corinna
AU - Schumann, Jan Hendrik
AU - Li, Mahei
AU - Brinker, Jonas
AU - Hagen, Simon
AU - Kammler, Friedemann
AU - Strina, Giuseppe
AU - Ernst, Philipp
AU - Falkus, Michael
ID - 13181
TI - DIN SPEC 33453:2019-09, Entwicklung digitaler Dienstleistungssysteme
ER -
TY - CONF
AB - The Digital Transformation alters business models in all fields of application, but not all industries transform at the same speed. While recent innovations in smart products, big data, and machine learn-ing have profoundly transformed business models in the high-tech sector, less digitalized industries—like agriculture—have only begun to capitalize on these technologies. Inspired by predictive mainte-nance strategies for industrial equipment, the purpose of this paper is to design, implement, and evaluate a predictive maintenance method for agricultural machines that predicts future defects of a machine’s components, based on a data-driven analysis of service records. An evaluation with 3,407 real-world service records proves that the method predicts damaged parts with a mean accuracy of 86.34%. The artifact is an exaptation of previous design knowledge from high-tech industries to agriculture—a sector in which machines move through rough territory and adverse weather conditions, are utilized exten-sively for short periods, and do not provide sensor data to service providers. Deployed on a platform, the prediction method enables co-creating a predictive maintenance service that helps farmers to avoid resources shortages during harvest seasons, while service providers can plan and conduct maintenance service preemptively and with increased efficiency.
AU - Lüttenberg, Hedda
AU - Bartelheimer, Christian
AU - Beverungen, Daniel
ID - 2861
TI - Designing Predictive Maintenance for Agricultural Machines
ER -
TY - CONF
AU - Bartelheimer, Christian
AU - Hendrik Betzing, Jan
AU - Berendes, Ingo
AU - Beverungen, Daniel
ID - 3279
T2 - Proceedings of the 26th European Conference on Information Systems
TI - Designing Multi-sided Community Platforms for Local High Street Retail
ER -
TY - CONF
AU - Ingo Berendes, C.
AU - Bartelheimer, Christian
AU - Hendrik Betzing, Jan
AU - Beverungen, Daniel
ID - 4766
T2 - Proceedings of the 39th International Conference on Information Systems
TI - Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language
ER -
TY - CONF
AU - Bartelheimer, Christian
AU - Betzing, Jan H
AU - Berendes, Carsten Ingo
AU - Beverungen, Daniel
ID - 4768
T2 - Proceedings of the 26th European Conference on Information Systems
TI - Designing Multi-sided Community Platforms for Local High Street Retail
ER -