@techreport{2821, author = {{Kundisch, Dennis and Beverungen, Daniel}}, pages = {{22--27}}, title = {{{Als Wirtschaftsinformatiker die digitale Transformation in Organisationen gestalten}}}, year = {{2018}}, } @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{3280, author = {{Hendrik Betzing, Jan and Beverungen, Daniel and Becker, Jörg}}, booktitle = {{Tagungsband Data driven X --- Turning Data into Value --- Band V}}, editor = {{Drews, Paul and Funk, Burkhardt and Niemeyer, Peter and Xie, Lin}}, pages = {{2083----2094}}, title = {{{Design Principles for Co-Creating Digital Customer Experience in High Street Retail}}}, year = {{2018}}, } @inbook{4519, author = {{Lüttenberg, Hedda and Wolf, Verena and Beverungen, Daniel}}, booktitle = {{Service Engineering}}, isbn = {{9783658209049}}, pages = {{31--49}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Service (Systems) Engineering für die Produktion}}}, doi = {{10.1007/978-3-658-20905-6_3}}, 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}}, } @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{4516, abstract = {{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 resources that were previously unconnected. In an age of networked products and data, we can expect that many service innovations will be based on adding, dissociating, and associating existing value propositions by accessing internal and external resources instead of designing them from scratch. The purpose of this paper is to identify if current service engineering approaches account for the mechanisms of recombinant innovation and to design a method for recombinant service systems engineering. In a conceptual analysis of 24 service engineering methods, the study identified that most methods (1) focus on designing value propositions instead of service systems, (2) view service independent of physical goods, (3) are either linear or iterative instead of agile, and (4) do not sufficiently address the mechanisms of recombinant innovation. The paper discusses how these deficiencies can be remedied and designs a revised service systems engineering approach that reorganizes service engineering processes according to four design principles. The method is demonstrated with the recombinant design of a service system for predictive maintenance of agricultural machines.}}, author = {{Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena}}, issn = {{2363-7005}}, journal = {{Business & Information Systems Engineering}}, keywords = {{Service engineering, Recombinant innovation, (Product-)service system, Design science research, New service development}}, number = {{5}}, pages = {{377--391}}, publisher = {{SpringerNature}}, title = {{{Recombinant Service Systems Engineering}}}, doi = {{10.1007/s12599-018-0526-4}}, volume = {{60}}, year = {{2018}}, } @inproceedings{2860, abstract = {{Although many methods have been proposed for engineering services and customer solutions, most of these approaches give little consideration to recombinant service innovation. In an age of smart products and smart data, we can, however, expect that many of future service innovations need to be based on adding, transferring, dissociating, and associating existing value propositions. The purpose of this paper is to outline what properties constitute recombinant service innovation and to identify if current service engineering approaches fulfill these properties. Based on a conceptual in-depth analysis of 24 service engineering methods, we identify that most methods focus on designing value propositions instead of service systems, view service independent of physical goods, are linear or iterative, and incompletely address the mechanisms of recombinant innovation. We discuss how these deficiencies can be remedied and propose a first conceptual model of a revised se rvice system engineering approach.}}, author = {{Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena}}, booktitle = {{Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017)}}, editor = {{Leimeister, Jan Marco and Brenner, Walter}}, keywords = {{Service engineering, recombinant innovation, (product - )service system, literature analysis, new service development}}, location = {{St. Gallen, Switzerland}}, pages = {{136--150}}, title = {{{Recombinant Service System Engineering}}}, year = {{2017}}, } @inproceedings{3282, author = {{Klör, Benjamin and Monhof, Markus and Bräuer, Sebastian and Beverungen, Daniel}}, booktitle = {{Proceedings of the 19th IEEE Conference on Business Informatics (CBI 2017)}}, location = {{Thessaloniki, Greece}}, title = {{{Recommendation and Configuration of Value-Added Services for Repurposing Electric Vehicle Batteries: A Vertical Software Prototype}}}, year = {{2017}}, } @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}}, } @article{3488, author = {{Beverungen, Daniel and Bräuer, Sebastian and Plenter, Florian and Klör, Benjamin and Monhof, Markus}}, journal = {{Computer Science --- Research and Development}}, number = {{1-2}}, pages = {{195----209}}, title = {{{Ensembles of Context and Form for Repurposing Electric Vehicle Batteries: An Exploratory Study}}}, doi = {{10.1007/s00450-016-0306-7}}, year = {{2017}}, } @article{3490, abstract = {{Digital interactions among businesses and consumers through powerful information systems and omnipresent connected devices establish today’s networked society. In this light, Service Science continues to take root as a research discipline that focuses on the integration of (digital) resources by service providers and service customers for value co-creation in service systems. Rapid advances in information technology allow for designing novel information systems that enable entirely new configurations of service systems. In turn, Service Science also leaves its mark on the design, adoption, and use of information systems and technology. With this special issue, we compile a set of timely papers that investigate selected facets of the complex interplay between information technology, information systems, and Service Science to design innovative IT artifacts for smart service. This editorial opens this special issue by elaborating on our understanding of smart service.