Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Smart Cities and Digital Government 2
Time:
Wednesday, 18/Sept/2024:
9:00am - 10:00am

Session Chair: Julia Lanzl
Location: 1.002


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Presentations

Supporting the Store-based Retail with Big Data in German Towns – a Longitudinal Mixed-Method-Study

C. Kreuels1, A. Stelter1, B. Kordyaka2, B. Niehaves2

1University of Siegen, Germany; 2University of Bremen, Germany

Store-based retailers face the challenge of meeting increased customer demands and compete with online marketplaces. big data (BD) can support store-based retail and engage customers locally. We are therefore conducted a three-year mixed-method-study to identify relevant factors for the German store-based retail in three successive phases. Firstly, we qualitatively identify effectiveness-factors using BD through 13 semi-structured-interviews. Secondly, we quantitatively evaluate the relevance of the identified effectiveness-factors (i.a., over 2.8 million data points) using the 7P-Marketing-Mix, and thirdly analyzed significant factors. Our findings show that many store-based retailers lack knowledge about smart town and BD-use, e.g., by creating a network or running joint retail campaigns to increase the towns attractiveness. We provide an overview and guidance on how BD-analysis can effectively influence the store-based retail transformation in smart towns. Using a mixed-method-study in a German towns, we were able to identify which factors influence store-based retail in a smart town and suggest promising interventions.

Kreuels-Supporting the Store-based Retail with Big Data in German Towns – a Longitudinal-251_a.pdf


Getting to Know Your Customer: Onboarding in an Urban Mobility Ecosystem

D. Richter, J. Anke

Hochschule für Technik und Wirtschaft Dresden, Germany

In recent years, mobility ecosystems formed in German urban areas, comprising of sharing-based providers and traditional public transport. Access to these ecosystems and service integration is inhibited by multiple onboarding processes during which customer information is exchanged and verified. We conducted a case study investigating the onboarding processes of four mobility providers in an urban mobility ecosystem to show by which means informational demands are satisfied and to enable a discussion on the design space for such processes. We show how different institutions shaping mobility service exchange relationships determine informational demands and the technical procedures used to satisfy these during onboarding processes. This results in diverse technical procedures impacting value co-creation in multiple dimensions, such as identity costs. We introduce the MINTI framework discussing our findings in the light of novel technologies such as digital wallets. Future research is needed to further systematize onboarding design choices and quantify their impacts.

Richter-Getting to Know Your Customer-362_a.pdf


 
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