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Centralization or diversification? Artificial intelligence application and supply chain configuration in hospitality enterprises

  • Xin Liu
  • , Yan Huang*
  • , Rui Qi
  • , Lu Zhang
  • , Abdulaziz Alshalfan
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

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 languageEnglish
Article number104643
Number of pages15
JournalInternational Journal of Hospitality Management
Volume136
Early online date10 Mar 2026
DOIs
Publication statusE-pub ahead of print - 10 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    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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