Volltext-Downloads (blau) und Frontdoor-Views (grau)

Characteristics of platform shifts - a single case study of ChatGPT

  • This research investigates platform shifts as transformative change. Utilizing Yin's methodology, we examine the transition from single platforms to assistant platforms and its impact on value creation by employing ChatGPT as a single case study. The key findings indicate that the democratization of module creation, actor integration, resource integration, creation, liquefaction, and the network structure are driving the shift to assistant platforms. Platform shifts affect value creation by fostering externalities such as complementarities and network effects and enabling higher-order externalities. These encompass network effects spanning multiple platforms and complementarities connecting three or more modules. The study concludes with strategic recommendations for developers and policymakers to address these characteristics of platform shifts. It aims to enhance the theoretical understanding of platform shifts and digital ecosystems by providing an integrated perspective of the role of generative AI in shaping the technological landscape.

Download full text files

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
URN:urn:nbn:de:bsz:rt2-opus4-61400
DOI:https://doi.org/10.24251/HICSS.2025.458
ISSN:2572-6862
Published in:Proceedings of the 58th Hawai'i International Conference on System Sciences (HICSS) : 7-10 January 2025, Hawai'i
Publisher:University of Hawai'i at Manoa
Place of publication:Honolulu
Document Type:Conference proceeding
Language:English
Publication year:2025
Page Number:10
First Page:3803
Last Page:3812
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International