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Artificial Intelligence-Driven Supply Chain Agility and Resilience: Pathways to Competitive Advantage in the Hotel Industry

Author

Listed:
  • Ibrahim A. Elshaer

    (Department of Management, College of Business Administration, King Faisal University, Al-Ahsaa 380, Saudi Arabia)

  • Alaa M. S. Azazz

    (Department of Social Studies, Arts College, King Faisal University, Al-Ahsaa 380, Saudi Arabia)

  • Abdulaziz Aljoghaiman

    (Department of Management, College of Business Administration, King Faisal University, Al-Ahsaa 380, Saudi Arabia)

  • Mahmoud Mansor

    (Hotel Management Department, Faculty of Tourism and Hotels, Suez Canal University, Ismailia 41522, Egypt
    Faculty of Tourism and Hotel Service Technology, East Port Said University of Technology, North Sinai 45632, Egypt)

  • Mahmoud Ahmed Salama

    (Hotel Management Department, Faculty of Tourism and Hotels, Suez Canal University, Ismailia 41522, Egypt
    Faculty of Tourism and Hotel Service Technology, East Port Said University of Technology, North Sinai 45632, Egypt)

  • Sameh Fayyad

    (Hotel Management Department, Faculty of Tourism and Hotels, Suez Canal University, Ismailia 41522, Egypt)

Abstract

Background : The extraordinary disturbances faced by the hotel industry, ranging from worldwide health problems to political instability and climate change, have highlighted the insistent need for more resilient and agile supply chain (SC) systems. This study explored how artificial intelligence (AI) capabilities can generate competitive advantage (CA) through supply chain agility (SCA) and supply chain resilience (SCR) as mediators and competitive pressure (CP) as a moderator. Methods : Drawing on the resource-based view (RBV) framework, we suggested and empirically tested the study model. Using data collected from 432 hotel managers and analyzed using Partial Least Squares Structural Equation Modelling (SEM-PLS). Results : the results reveal that AI-driven SC can significantly strengthen SCA and SCR. Furthermore, SCA and SCR can act as powerful mediators, and CP can strengthen the tested relationships (the links from AI adoption and CA) as a moderator. Conclusions : The study made several theoretical and practical contributions by integrating AI capabilities into SCR and SCA frameworks in the hotel and tourism context, and by providing practical evidence for professionals aiming to leverage AI-driven SC tools to navigate uncertainty and create sustainable CA.

Suggested Citation

  • Ibrahim A. Elshaer & Alaa M. S. Azazz & Abdulaziz Aljoghaiman & Mahmoud Mansor & Mahmoud Ahmed Salama & Sameh Fayyad, 2025. "Artificial Intelligence-Driven Supply Chain Agility and Resilience: Pathways to Competitive Advantage in the Hotel Industry," Logistics, MDPI, vol. 10(1), pages 1-21, December.
    • Handle: RePEc:gam:jlogis:v:10:y:2025:i:1:p:5-:d:1827208
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