@article{ART003276251},
author={XU JINGSHI and Kim Jun Yeup and Han-JU, Lee},
title={Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study},
journal={Journal of Asia-Pacific Studies},
issn={1225-8539},
year={2025},
volume={32},
number={4},
pages={155-198},
doi={10.18107/japs.2025.32.4.006}
TY - JOUR
AU - XU JINGSHI
AU - Kim Jun Yeup
AU - Han-JU, Lee
TI - Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study
JO - Journal of Asia-Pacific Studies
PY - 2025
VL - 32
IS - 4
PB - Institute of Global Affairs
SP - 155
EP - 198
SN - 1225-8539
AB - As artificial intelligence (AI) continues to influence business transformation, firms face diverse strategic choices in how they adopt and scale new technologies. This study explores how organizations configure artificial intelligence within complex and regulated environments, focusing on four representative healthcare firms in China. Drawing on the technology-organization-environment framework, strategic alignment theory, and the institutional logics perspective, we develop a conceptual model that maps firm strategies along two key dimensions: the depth of operational AI integration and the scope of strategic AI deployment. This framework identifies four strategic archetypes: AI Ecosystem Builders, Institutional Solution Providers, Platform Service Scalers, and Task Specific Innovators. Each archetype reflects a distinct approach to embedding technology and positioning it within the market. Through comparative case analysis, we show how firms align internal capabilities with external constraints and opportunities, making trade-offs between innovation, legitimacy, and scale. While rooted in the healthcare sector, the framework offers broader insights for understanding digital transformation across industries where regulation, market structure, and public accountability play a central role. This study contributes to research on strategic technology adoption by offering a structured lens to interpret business model variation in artificial intelligence intensive settings.
KW - Artificial Intelligence (AI);Digital Transformation;Chinese Firms;Emerging Market;Healthcare
DO - 10.18107/japs.2025.32.4.006
ER -
XU JINGSHI, Kim Jun Yeup and Han-JU, Lee. (2025). Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study. Journal of Asia-Pacific Studies, 32(4), 155-198.
XU JINGSHI, Kim Jun Yeup and Han-JU, Lee. 2025, "Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study", Journal of Asia-Pacific Studies, vol.32, no.4 pp.155-198. Available from: doi:10.18107/japs.2025.32.4.006
XU JINGSHI, Kim Jun Yeup, Han-JU, Lee "Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study" Journal of Asia-Pacific Studies 32.4 pp.155-198 (2025) : 155.
XU JINGSHI, Kim Jun Yeup, Han-JU, Lee. Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study. 2025; 32(4), 155-198. Available from: doi:10.18107/japs.2025.32.4.006
XU JINGSHI, Kim Jun Yeup and Han-JU, Lee. "Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study" Journal of Asia-Pacific Studies 32, no.4 (2025) : 155-198.doi: 10.18107/japs.2025.32.4.006
XU JINGSHI; Kim Jun Yeup; Han-JU, Lee. Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study. Journal of Asia-Pacific Studies, 32(4), 155-198. doi: 10.18107/japs.2025.32.4.006
XU JINGSHI; Kim Jun Yeup; Han-JU, Lee. Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study. Journal of Asia-Pacific Studies. 2025; 32(4) 155-198. doi: 10.18107/japs.2025.32.4.006
XU JINGSHI, Kim Jun Yeup, Han-JU, Lee. Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study. 2025; 32(4), 155-198. Available from: doi:10.18107/japs.2025.32.4.006
XU JINGSHI, Kim Jun Yeup and Han-JU, Lee. "Strategic Configurations of AI Adoption in China’s Healthcare Sector: A Comparative Case Study" Journal of Asia-Pacific Studies 32, no.4 (2025) : 155-198.doi: 10.18107/japs.2025.32.4.006
