@inproceedings{16285,
  abstract     = {{To  decide  in  which  part  of  town to  open  stores,  high  street  retailers consult  statistical  data  on  customers  and  cities,  but  they  cannot  analyze  their customers’  shopping  behavior  and  geospatial  features  of  a  city  due  to  missing data.  While  previous  research  has  proposed  recommendation  systems  and decision  aids  that  address  this  type  of  decision  problem –  including  factory location  and  assortment  planning –  there  currently  is no design  knowledge available  to  prescribe  the  design  of  city  center  area  recommendation  systems (CCARS).   We   set   out   to   design   a   software   prototype   considering   local customers’  shopping  interests  and  geospatial  data  on  their  shopping  trips  for retail site selection.  With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens.}},
  author       = {{zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Town Center Management, High Street Retail, Recommender Systems, Geospatial Recommendations, Design Science Research}},
  location     = {{Potsdam}},
  title        = {{{Designing City Center Area Recommendation Systems }}},
  doi          = {{doi.org/10.30844/wi_2020_e1-heiden}},
  year         = {{2020}},
}

@article{35723,
  abstract     = {{<jats:p>The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.</jats:p>}},
  author       = {{Hoffmann, Martin W. and Wildermuth, Stephan and Gitzel, Ralf and Boyaci, Aydin and Gebhardt, Jörg and Kaul, Holger and Amihai, Ido and Forg, Bodo and Suriyah, Michael and Leibfried, Thomas and Stich, Volker and Hicking, Jan and Bremer, Martin and Kaminski, Lars and Beverungen, Daniel and zur Heiden, Philipp and Tornede, Tanja}},
  issn         = {{1424-8220}},
  journal      = {{Sensors}},
  keywords     = {{Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  title        = {{{Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions}}},
  doi          = {{10.3390/s20072099}},
  volume       = {{20}},
  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}},
}

@inproceedings{9708,
  abstract     = {{Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research.}},
  author       = {{Wolf, Verena}},
  booktitle    = {{Proceedings of the 14th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Exploration, Exploitation, Service Innovation, Organizational Routines, Ambidexterity}},
  location     = {{Siegen, Germany}},
  title        = {{{Ambidexterity in Service Innovation Research: A Systematic Literature Review}}},
  year         = {{2019}},
}

@article{12929,
  author       = {{Bräuer, Sebastian and Plenter, Florian and Klör, Benjamin and Monhof, Markus and Beverungen, Daniel and Becker, Jörg}},
  issn         = {{2198-3402}},
  journal      = {{Business Research}},
  title        = {{{Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles}}},
  doi          = {{10.1007/s40685-019-0091-9}},
  year         = {{2019}},
}

@article{14023,
  author       = {{Beverungen, Daniel and Breidbach, Christoph F. and Poeppelbuss, Jens and Tuunainen, Virpi Kristiina}},
  issn         = {{1350-1917}},
  journal      = {{Information Systems Journal}},
  title        = {{{Smart service systems: An interdisciplinary perspective}}},
  doi          = {{10.1111/isj.12275}},
  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{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}},
}

@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{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}},
}