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  4. Towards Understanding the Use of Artificial Intelligence in Hybrid Retail Platforms: Insights from 66 Use Cases
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Towards Understanding the Use of Artificial Intelligence in Hybrid Retail Platforms: Insights from 66 Use Cases

Type
conference paper
Date Issued
2025
Author(s)
Simon Gabriel Sturm  
Abstract
Research predicted the use of artificial intelligence (AI) in electronic commerce long before electronic commerce and AI became ubiquitous in everyday life. AI was envisioned to reduce the effort of participating in electronic commerce (i.e., transaction costs), so that buyers could benefit from the ever-expanding exchange opportunities in a digitalized world. The existing literature, however, has focused on developing performant AI technologies, and given their business function less attention. We therefore know much about the potential and little about the actual AI use in electronic commerce. This qualitative research-in-progress addresses this issue by delineating 66 AI use cases at Germany’s leading hybrid retail platform (OTTO) along relational, processual, and functional context dimensions. Preliminary results indicate that AI is used primarily to reduce search & information costs in consumer-oriented and policing & enforcement costs in business-oriented segments. Moreover, AI is used to manage dynamics between consumer- and business-oriented segments in hybrid retail platforms.
Event Title
International Conference on Information Systems (ICIS)
Event Location
Nashville, Tennessee, USA
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/124004
File(s)
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Name

Sturm (2025) -Towards Understanding the Use of AI in Hybrid Retail Platforms.pdf

Size

469.74 KB

Format

Adobe PDF

Checksum (MD5)

e348c66512d53ef832ecb2cfac818d10

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