Navigating coopetition: A multiple case study of AI and data‐driven strategies in the digital platform economy

Abstract The convergence of emerging technologies like cloud computing, artificial intelligence (AI), and 5G is catalysing the Fourth Industrial Revolution and driving a paradigm shift toward the rapidly growing digital platform economy. However, the complex coopetition dynamics among AI‐powered and data‐driven digital platforms challenge traditional resource‐based theories in explaining this phenomenon. This multiple case study investigates the coopetitive tactics adopted by digital platform companies when navigating different coopetition situations through the lens of data and AI resources. Eight propositions are developed linking the allocation and application tendencies of data resources to the coopetitive tactics employed by platforms across four coopetition situations. The findings reveal how the unique attributes of data and AI resources influence digital platforms' coopetitive strategy implementation in complex network environments and how companies can strategically combine cooperation and competition when leveraging AI technologies and big data resources on digital platforms.

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2024-08-21
DOI
https://doi.org/10.1002/sres.3067
Citations
4
Primary Topic
Business Strategy and Innovation
Type
article
Field-Weighted Citation Impact
2.22

Funders

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article

Navigating coopetition: A multiple case study of AI and data‐driven strategies in the digital platform economy

Huishuang Su, Shuo Tian, Qiang Ma, Ying Wang et al.
4 citations
Systems Research and Behavioral Science
Business Strategy and Innovation
2.22
article

Navigating coopetition: A multiple case study of AI and data‐driven strategies in the digital platform economy

Huishuang Su, Shuo Tian, Qiang Ma, Ying Wang, Hong Chen, Wei Zhong
article en
4 citations

Abstract

Abstract The convergence of emerging technologies like cloud computing, artificial intelligence (AI), and 5G is catalysing the Fourth Industrial Revolution and driving a paradigm shift toward the rapidly growing digital platform economy. However, the complex coopetition dynamics among AI‐powered and data‐driven digital platforms challenge traditional resource‐based theories in explaining this phenomenon. This multiple case study investigates the coopetitive tactics adopted by digital platform companies when navigating different coopetition situations through the lens of data and AI resources. Eight propositions are developed linking the allocation and application tendencies of data resources to the coopetitive tactics employed by platforms across four coopetition situations. The findings reveal how the unique attributes of data and AI resources influence digital platforms' coopetitive strategy implementation in complex network environments and how companies can strategically combine cooperation and competition when leveraging AI technologies and big data resources on digital platforms.

Systems Research and Behavioral ScienceVol. 42(4)
Jilin University of Finance and Economics (CN), Jilin University (CN), Indiana University East (US)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Business Strategy and Innovation
2.22
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Navigating coopetition: A multiple case study of AI and data‐driven strategies in the digital platform economy — Huishuang Su, Shuo Tian, et al. · Systems Research and Behavioral Science (2024) | TGRS Research Map | TGRS