@article{46478,
  abstract     = {{High streets across Europe continue to lose consumers to online retail, leading to business closures and the decline of city centres, impairing cities’ overall liveability. To counter this vicious cycle, our study presents smartmarket2, the first instantiation of a digital actor engagement platform designed specifically for high streets. smartmarket2 enables hybrid online-offline customer journeys by connecting consumers to stores and other high street service providers. In an action design research (ADR) project, we design, implement and evaluate smartmarket2, involving 150 high street operators and 2,300 citizens in three cycles of building, intervention and evaluation. We derive four design principles that contribute prescriptive knowledge on the design of digital actor engagement platforms. Our results reveal that such a platform is able to increase engagement, but that it is subject to actors’ engagement dispositions.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  keywords     = {{Digital platform, action design research, design principles, actor engagement, engagement platform, location-based advertising}},
  pages        = {{1--34}},
  publisher    = {{Taylor & Francis}},
  title        = {{{Designing digital actor engagement platforms for local high streets: an action design research study}}},
  doi          = {{10.1080/0960085x.2023.2242847}},
  year         = {{2023}},
}

@inproceedings{17087,
  author       = {{Berendes, Carsten Ingo and zur Heiden, Philipp and Niemann, Marco and Hoffmeister, Benedikt and Becker, Jörg}},
  booktitle    = {{Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)}},
  location     = {{Virtual Conference}},
  title        = {{{Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations}}},
  year         = {{2020}},
}

@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}},
}

@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{9821,
  author       = {{Betzing, Jan H and Niemann, Marco and Berendes, Carsten Ingo}},
  booktitle    = {{Human Practice. Digital Ecologies. Our Future. - Tagungsband der 14. Internationalen Tagung Wirtschaftsinformatik (WI 2019)}},
  location     = {{Siegen}},
  title        = {{{   Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype}}},
  year         = {{2019}},
}

@inproceedings{15391,
  author       = {{Berendes, Carsten Ingo}},
  booktitle    = {{Business Information Systems Workshops}},
  isbn         = {{9783030366902}},
  issn         = {{1865-1348}},
  title        = {{{Towards Analyzing High Street Customer Trajectories - A Data-Driven Case Study}}},
  doi          = {{10.1007/978-3-030-36691-9_27}},
  year         = {{2019}},
}

@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}},
}

@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}},
}