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 -