Ingo Berendes

Kontakt

Publikationen

Wirtschaftsinformatik, insb. Betriebliche Informationssysteme

Externer - Externer Doktorand

VCard

Telefon:

+49 5251 60-3256

Fax:

+49 5251 60-3430

E-Mail:

ingo.berendes(at)upb(dot)de

Web:

Homepage

Liste im Research Information System öffnen

2020

Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations

C.I. Berendes, P. zur Heiden, M. Niemann, B. Hoffmeister, J. Becker, in: Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020), 2020

Download

https://aisel.aisnet.org/ecis2020_rip/46?utm_source=aisel.aisnet.org%2Fecis2020_rip%2F46&utm_medium=PDF&utm_campaign=PDFCoverPages - (confirmation)

Designing City Center Area Recommendation Systems

P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020

Abstract

Download

DOI

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.

https://library.gito.de/open-access-pdf/E1_City_recommendations_Master_final.pdf

2019

Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail

J.H. Betzing, C. Bartelheimer, M. Niemann, C.I. Berendes, D. Beverungen, in: Proceedings of the 27th European Conference on Information Systems (ECIS), 2019

Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype

J.H. Betzing, M. Niemann, C.I. Berendes, in: Human Practice. Digital Ecologies. Our Future. - Tagungsband der 14. Internationalen Tagung Wirtschaftsinformatik (WI 2019), 2019

Towards Analyzing High Street Customer Trajectories - A Data-Driven Case Study

C.I. Berendes, in: Business Information Systems Workshops, 2019

DOI

2018

Designing Multi-sided Community Platforms for Local High Street Retail

C. Bartelheimer, J.H. Betzing, C.I. Berendes, D. Beverungen, in: Proceedings of the 26th European Conference on Information Systems, 2018

Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language

C.I. Berendes, C. Bartelheimer, J.H. Betzing, D. Beverungen, 2018

2017

Interaktive, digitale Einkaufserlebnisse in Innenstädten

J. Hendrik Betzing, D. Beverungen, J. Becker, M. Matzner, G. Schmitz, C. Bartelheimer, C.I. Berendes, M. Braun, A. Gadeib, M.{. Hoffen}, C. Schallenberg, HMD Praxis der Wirtschaftsinformatik (2017)(5), pp. 659--671

DOI

Liste im Research Information System öffnen