THE GENERATIVE AI DISRUPTION: A BIBLIOMETRIC ANALYSIS of ARTIFICIAL INTELLEGENCE TRANSFORMATIVE IMPACT ON HOSPITALITY RESEARCH AND PRACTICE

This study provides a comprehensive bibliometric analysis of Artificial Intelligence's transformative impact on hospitality research. Utilizing 3,993 documents from the Scopus database (2011-2025), we map the field's intellectual structure and evolution. Findings reveal exponential publication growth since 2017 and a structure defined by foundational "Basic Themes" (e.g., machine learning) and peripheral "Niche Themes" (e.g., human studies). Critically, the analysis reveals a conspicuous absence of "Motor Themes," indicating the field, while vibrant, lacks a mature, driving research agenda. This paper charts the field's evolution and proposes a data-driven agenda for future inquiry.

• Publication year

  2025

• Venue

  Journal of Innovation Research and Knowledge

• Publication date

  2025-10-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.53625/jirk.v5i5.11274
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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