Abstract
Artificial intelligence (AI) has become increasingly integrated into hospitality operations, yet its role in shaping supply chain configuration remains insufficiently understood. Using data from 144 hospitality and hospitality-related enterprises listed on China's A-share market (2001–2023), this study examines how AI adoption influences supply chain concentration and diversification. The results show that 1) AI application can significantly reduce the concentration of hospitality supply chain, promoting diversification of supply chain configuration; 2) AI application reduces supply chain concentration by improving labor productivity, total factor productivity, and cost efficiency; 3) Opportunistic risks and systemic risks moderate the impact of AI application on the diversification of supply chain configuration. The findings provide new insights for optimizing digital technology strategies and enhancing competitive development in the hospitality industry.
| Original language | English |
|---|---|
| Article number | 104643 |
| Number of pages | 15 |
| Journal | International Journal of Hospitality Management |
| Volume | 136 |
| Early online date | 10 Mar 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 10 Mar 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
User-Defined Keywords
- AI Applications
- Labor Productivity
- Opportunistic Risk
- Supply Chain Configuration
- Systemic Risk
- Total Factor Productivity
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