Research on the Impact of Artificial Intelligence on the “Lock-in Effect” of Enterprise Suppliers

ZHOU Shengshi, SU Xin

Chinese Journal of Management ›› 2026, Vol. 23 ›› Issue (2) : 242.

PDF(1283 KB)
PDF(1283 KB)
Chinese Journal of Management ›› 2026, Vol. 23 ›› Issue (2) : 242.

Research on the Impact of Artificial Intelligence on the “Lock-in Effect” of Enterprise Suppliers

  • ZHOU Shengshi,SU Xin
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Abstract

Based on the technological-economic paradigm theory framework, this study constructs a relational model between artificial intelligence (AI) and the “lock-in effect”in enterprise suppliers, and explores the mechanisms from the perspective of advantages of the information and competition. On this basis, an empirical test is conducted using samples of non-financial A-share listed companies in China from 2007 to 2023. The results show that AI can effectively mitigate the “lock-in effect”of enterprise supplier. After fully considering the issues of endogeneity and robustness, the results remain valid. AI alleviates the supplier “lock-in effect” by enhancing firms’ information and competitive advantages. Further heterogeneity analysis reveals that the relationship between AI and the supplier “lock-in effect” is influenced by national policies and local tax burdens, and is significant only among manufacturing firms.

Key words

artificial intelligence / supplier / lock-in effect / technological-economic paradigm

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ZHOU Shengshi, SU Xin. Research on the Impact of Artificial Intelligence on the “Lock-in Effect” of Enterprise Suppliers[J]. Chinese Journal of Management. 2026, 23(2): 242
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