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February 22, 2026Technological Forecasting and Social Change11 citationsOpen Access

How AI innovation shapes supplier concentration under the triple helix framework: Evidence from emerging markets

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WWWei WuJXJing XuYLYing Li

Key Points

  • This research aims to understand the impact of AI innovation on supplier concentration and management efficiency among firms in emerging markets.
  • Analyzed patent data from Chinese A-share listed companies between 2014 and 2023.
  • Used fixed effects regression models to account for firm heterogeneity and common shocks.
  • Evaluated the relationship between AI-related patents and supply chain outcomes.
  • Found a positive association between AI patents and supplier concentration.
  • Identified improved management efficiency through higher inventory turnover and faster accounts payable cycles.
  • Noted that digital maturity and operational risk exposure enhance the effects of AI innovation.

Abstract

This study investigates how artificial intelligence innovation influences supplier concentration and management efficiency among firms in emerging markets. Using patent data from Chinese A share listed companies between 2014 and 2023, we construct firm level measures of AI innovation and examine their association with upstream supply chain outcomes. The empirical analysis employs fixed effects regression models to control for unobserved firm heterogeneity and common temporal shocks. Results indicate that AI related patents are positively and significantly associated with supplier concentration, suggesting that firms with stronger AI capabilities tend to rely on fewer upstream partners. We also find that AI innovation is positively associated with supplier management efficiency, as reflected in higher inventory turnover and faster accounts payable cycles. Further analysis reveals that these relationships are contingent on firm characteristics: digital maturity and operational risk exposure amplify the effects of AI innovation on both supplier concentration and efficiency outcomes. We interpret these findings through the lens of the Triple Helix framework, which emphasizes the institutional context of government policy, academic knowledge production, and industrial application that characterizes innovation ecosystems in emerging markets. The study contributes to the literature by shifting attention from operational performance to structural supply chain outcomes, identifying boundary conditions that shape technology driven supply chain restructuring, and demonstrating the relevance of institutional perspectives for understanding digital transformation in interfirm relationships. Practical implications are discussed for managers seeking to leverage AI for supply chain optimization and for policymakers aiming to balance innovation promotion with supply chain resilience. • This study examines how intelligent technology adoption influences supplier concentration. • Firm-level patent data from Chinese A-share listed companies (2014–2023) are utilized. • Intelligent innovation significantly enhances supplier concentration and management efficiency. • Digital maturity amplifies, while firm risk conditions, the effect of intelligent adoption. • Findings provide new evidence on technological drivers of supply chain restructuring.

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Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/699a9cc6482488d673cd28d9https://doi.org/10.1016/j.techfore.2026.124579
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