@inproceedings{41487,
  author       = {{Sven, Weinzierl and Bartelheimer, Christian and Zilker, Sandra and Beverungen, Daniel and Matzner, Martin}},
  booktitle    = {{Proceedings of the 26th Pacific Asia Conference on Information Systems (PACIS)}},
  title        = {{{ A Method for Predicting Workarounds in Business Processes}}},
  year         = {{2022}},
}

@inproceedings{41486,
  abstract     = {{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.}},
  author       = {{Caron, Matthew and Bartelheimer, Christian and Müller, Oliver}},
  booktitle    = {{Proceeding of the 28th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Minneapolis, USA}},
  title        = {{{Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation}}},
  year         = {{2022}},
}

@article{30735,
  abstract     = {{While 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.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  year         = {{2022}},
}

@inproceedings{16800,
  author       = {{Bartelheimer, Christian and Wolf, Verena and Langhorst, Nico and Seegers, Florian}},
  booktitle    = {{Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology}},
  title        = {{{Designing Digital Community Service Platforms for Crowd-Based Services in Urban Areas}}},
  year         = {{2020}},
}

@inproceedings{15501,
  author       = {{Wolf, Verena and Franke, Alena and Bartelheimer, Christian and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}},
  title        = {{{Establishing Smart Service Systems is a Challenge: A Case Study on Pitfalls and Implications}}},
  year         = {{2020}},
}

@article{17156,
  abstract     = {{Business Process Management is a boundary-spanning discipline that aligns operational capabilities and technology to design and manage business processes. The Digital Transformation has enabled human actors, information systems, and smart products to interact with each other via multiple digital channels. The emergence of this hyper-connected world greatly leverages the prospects of business processes – but also boosts their complexity to a new level. We need to discuss how the BPM discipline can find new ways for identifying, analyzing, designing, implementing, executing, and monitoring business processes. In this research note, selected transformative trends are explored and their impact on current theories and IT artifacts in the BPM discipline is discussed to stimulate transformative thinking and prospective research in this field.}},
  author       = {{Beverungen, Daniel and Buijs, Joos C. A. M. and Becker, Jörg and Di Ciccio, Claudio and van der Aalst, Wil M. P. and Bartelheimer, Christian and vom Brocke, Jan and Comuzzi, Marco and Kraume, Karsten and Leopold, Henrik and Matzner, Martin and Mendling, Jan and Ogonek, Nadine and Post, Till and Resinas, Manuel and Revoredo, Kate and del-Río-Ortega, Adela and La Rosa, Marcello and Santoro, Flávia Maria and Solti, Andreas and Song, Minseok and Stein, Armin and Stierle, Matthias and Wolf, Verena}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  keywords     = {{Business process management (BPM), Social computing, Smart devices, Big data analytics, Real-time computing, BPM life-cycle}},
  pages        = {{145--156}},
  publisher    = {{SpringerNature}},
  title        = {{{Seven Paradoxes of Business Process Management in a Hyper-Connected World}}},
  doi          = {{10.1007/s12599-020-00646-z}},
  volume       = {{63}},
  year         = {{2020}},
}

@inproceedings{4517,
  author       = {{Wolf, Verena and Bartelheimer, Christian and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52)}},
  location     = {{Maui, Hawaii}},
  title        = {{{Digitalization of Work Systems—An Organizational Routines’ Perspective}}},
  year         = {{2019}},
}

@inproceedings{9617,
  author       = {{Betzing, Jan H. and Bartelheimer, Christian and Niemann, Marco and Berendes, Carsten Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 27th European Conference on Information Systems (ECIS)}},
  location     = {{Stockholm}},
  title        = {{{Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail}}},
  year         = {{2019}},
}

@inbook{13178,
  author       = {{Beverungen, Daniel and Bartelheimer, Christian and Wolf, Verena}},
  booktitle    = {{Digitale Dienstleistungsinnovationen – Smart Services agil und kundenorientiert entwickeln}},
  isbn         = {{978-3-662-59516-9}},
  publisher    = {{SpringerVieweg}},
  title        = {{{Smart Service Systems als Handlungsfeld einer konvergierenden Dienstleistungsforschung}}},
  year         = {{2019}},
}

@techreport{13181,
  author       = {{Post, Till and Heuermann, Aaron and Wiesner, Stefan and Olschewski, Detlef and Maaß, Wolfgang and Klatt, Rüdiger and Jussen, Philipp and Ragab, Sherif and Senderek, Roman and Höckmayr, Benedikt and Schulz, Thomas and Meyer, Kyrill and Heinen, Ewald and Hocken, Christian and Fischer, Simon and Lattemann, Christoph and Redlich, Beke and Schlimm, Katrin and Ziegler, Christoph and Rechtien, Christopher and Schröder, Markus and Kube, Bernhard and Pöppelbuß, Jens and Wiesche, Manuel and Semmann, Martin and Bartelheimer, Christian and Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena and Bongers, Franziska and Winkler, Corinna and Schumann, Jan Hendrik and Li, Mahei and Brinker, Jonas and Hagen, Simon and Kammler, Friedemann and Strina, Giuseppe and Ernst, Philipp and Falkus, Michael}},
  title        = {{{DIN SPEC 33453:2019-09, Entwicklung digitaler Dienstleistungssysteme}}},
  doi          = {{10.31030/3085072}},
  year         = {{2019}},
}

@inproceedings{2861,
  abstract     = {{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. }},
  author       = {{Lüttenberg, Hedda and Bartelheimer, Christian and Beverungen, Daniel}},
  location     = {{Portsmouth, UK}},
  title        = {{{Designing Predictive Maintenance for Agricultural Machines}}},
  year         = {{2018}},
}

@inproceedings{3279,
  author       = {{Bartelheimer, Christian and Hendrik Betzing, Jan and Berendes, Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 26th European Conference on Information Systems}},
  location     = {{Portsmouth, UK}},
  title        = {{{Designing Multi-sided Community Platforms for Local High Street Retail}}},
  year         = {{2018}},
}

@inproceedings{4766,
  author       = {{Ingo Berendes, C. and Bartelheimer, Christian and Hendrik Betzing, Jan and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems}},
  location     = {{San Francisco USA}},
  title        = {{{Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language}}},
  year         = {{2018}},
}

@inproceedings{4768,
  author       = {{Bartelheimer, Christian and Betzing, Jan H and Berendes, Carsten Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 26th European Conference on Information Systems}},
  title        = {{{Designing Multi-sided Community Platforms for Local High Street Retail}}},
  year         = {{2018}},
}

@inproceedings{7590,
  author       = {{Berendes, Carsten Ingo and Bartelheimer, Christian and Betzing, Jan H and Beverungen, Daniel}},
  title        = {{{Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language}}},
  year         = {{2018}},
}

@misc{9687,
  author       = {{Beverungen, Daniel and Wolf, Verena and Bartelheimer, Christian}},
  booktitle    = {{Service Business Development. spot.on marketing - Der Newsletter für Marketing und Business Development}},
  title        = {{{Dienstleistungssysteme erfolgreich digital transformieren}}},
  year         = {{2018}},
}

@inproceedings{9709,
  author       = {{Gernreich, Chris and Wolf, Verena and Bartelheimer, Christian and Prinz, Christopher}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems}},
  location     = {{San Francisco, USA}},
  title        = {{{The Impact of Process Automation on Manufacturers’ Long-Term Knowledge}}},
  year         = {{2018}},
}

@inbook{5073,
  author       = {{Beverungen, Daniel and Wolf, Verena and Bartelheimer, Christian}},
  booktitle    = {{Service Business Development}},
  isbn         = {{9783658224233}},
  pages        = {{395--422}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Digitale Transformation von Dienstleistungssystemen}}},
  doi          = {{10.1007/978-3-658-22424-0_17}},
  year         = {{2018}},
}

@article{3487,
  author       = {{Hendrik Betzing, Jan and Beverungen, Daniel and Becker, Jörg and Matzner, Martin and Schmitz, Gertrud and Bartelheimer, Christian and Berendes, Carsten Ingo and Braun, Marina and Gadeib, Andera and Hoffen}, Moritz {von and Schallenberg, Christian}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  number       = {{5}},
  pages        = {{659----671}},
  title        = {{{Interaktive, digitale Einkaufserlebnisse in Innenstädten}}},
  doi          = {{10.1365/s40702-017-0343-0}},
  year         = {{2017}},
}