Designing City Center Area Recommendation Systems

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.

Keywords

Town Center Management; High Street Retail; Recommender Systems; Geospatial Recommendations; Design Science Research

Publishing Year

2020

Proceedings Title

Proceedings of the 15th International Conference on Wirtschaftsinformatik

Conference

15th International Conference on Wirtschaftsinformatik

Conference Location

Potsdam

Conference Date

2020-03-07 – 2020-03-11

LibreCat-ID

16285

Cite this

zur Heiden P, Berendes CI, Beverungen D. Designing City Center Area Recommendation Systems . In: Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam; 2020. doi:doi.org/10.30844/wi_2020_e1-heiden

zur Heiden, P., Berendes, C. I., & Beverungen, D. (2020). Designing City Center Area Recommendation Systems . In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden

@inproceedings{zur Heiden_Berendes_Beverungen_2020, place={Potsdam}, title={Designing City Center Area Recommendation Systems }, DOI={doi.org/10.30844/wi_2020_e1-heiden}, booktitle={Proceedings of the 15th International Conference on Wirtschaftsinformatik}, author={zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}, year={2020} }

Heiden, Philipp zur, Carsten Ingo Berendes, and Daniel Beverungen. “Designing City Center Area Recommendation Systems .” In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam, 2020. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden.

P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area Recommendation Systems ,” in Proceedings of the 15th International Conference on Wirtschaftsinformatik, Potsdam, 2020.

zur Heiden, Philipp, et al. “Designing City Center Area Recommendation Systems .” Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020, doi:doi.org/10.30844/wi_2020_e1-heiden.

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