---
_id: '16285'
abstract:
- lang: eng
  text: 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:
- first_name: Philipp
  full_name: zur Heiden, Philipp
  id: '64394'
  last_name: zur Heiden
- first_name: Carsten Ingo
  full_name: Berendes, Carsten Ingo
  id: '53344'
  last_name: Berendes
- first_name: Daniel
  full_name: Beverungen, Daniel
  id: '59677'
  last_name: Beverungen
citation:
  ama: 'zur Heiden P, Berendes CI, Beverungen D. Designing City Center Area Recommendation
    Systems . In: <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>.
    Potsdam; 2020. doi:<a href="https://doi.org/doi.org/10.30844/wi_2020_e1-heiden">doi.org/10.30844/wi_2020_e1-heiden</a>'
  apa: zur Heiden, P., Berendes, C. I., &#38; Beverungen, D. (2020). Designing City
    Center Area Recommendation Systems . In <i>Proceedings of the 15th International
    Conference on Wirtschaftsinformatik</i>. Potsdam. <a href="https://doi.org/doi.org/10.30844/wi_2020_e1-heiden">https://doi.org/doi.org/10.30844/wi_2020_e1-heiden</a>
  bibtex: '@inproceedings{zur Heiden_Berendes_Beverungen_2020, place={Potsdam}, title={Designing
    City Center Area Recommendation Systems }, DOI={<a href="https://doi.org/doi.org/10.30844/wi_2020_e1-heiden">doi.org/10.30844/wi_2020_e1-heiden</a>},
    booktitle={Proceedings of the 15th International Conference on Wirtschaftsinformatik},
    author={zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel},
    year={2020} }'
  chicago: Heiden, Philipp zur, Carsten Ingo Berendes, and Daniel Beverungen. “Designing
    City Center Area Recommendation Systems .” In <i>Proceedings of the 15th International
    Conference on Wirtschaftsinformatik</i>. Potsdam, 2020. <a href="https://doi.org/doi.org/10.30844/wi_2020_e1-heiden">https://doi.org/doi.org/10.30844/wi_2020_e1-heiden</a>.
  ieee: P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area
    Recommendation Systems ,” in <i>Proceedings of the 15th International Conference
    on Wirtschaftsinformatik</i>, Potsdam, 2020.
  mla: zur Heiden, Philipp, et al. “Designing City Center Area Recommendation Systems
    .” <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>,
    2020, doi:<a href="https://doi.org/doi.org/10.30844/wi_2020_e1-heiden">doi.org/10.30844/wi_2020_e1-heiden</a>.
  short: 'P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th
    International Conference on Wirtschaftsinformatik, Potsdam, 2020.'
conference:
  end_date: 2020-03-11
  location: Potsdam
  name: 15th International Conference on Wirtschaftsinformatik
  start_date: 2020-03-07
date_created: 2020-03-13T07:05:24Z
date_updated: 2022-01-06T06:52:48Z
ddc:
- '000'
department:
- _id: '526'
doi: doi.org/10.30844/wi_2020_e1-heiden
file:
- access_level: closed
  content_type: application/pdf
  creator: pzh
  date_created: 2020-03-13T06:58:54Z
  date_updated: 2020-03-13T06:58:54Z
  file_id: '16286'
  file_name: E1_City_recommendations_Master_final.pdf
  file_size: 1370273
  relation: main_file
  success: 1
file_date_updated: 2020-03-13T06:58:54Z
has_accepted_license: '1'
keyword:
- Town Center Management
- High Street Retail
- Recommender Systems
- Geospatial Recommendations
- Design Science Research
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://library.gito.de/open-access-pdf/E1_City_recommendations_Master_final.pdf
oa: '1'
place: Potsdam
project:
- _id: '35'
  grant_number: ​02K15A073
  name: ​Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen
publication: Proceedings of the 15th International Conference on Wirtschaftsinformatik
publication_status: published
quality_controlled: '1'
status: public
title: 'Designing City Center Area Recommendation Systems '
type: conference
user_id: '64394'
year: '2020'
...