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Impacts of artificial intelligence on hotel operations: face recognition in Vietnam

  • Bao Nguyen Le
  • , Xuan Tran
  • , Norman Au

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This study explores the adoption of facial recognition (FR) technology in hotel operations and services across various job roles. Given FR’s technological nature and the human-centric focus of hotels, perceived product and process innovations are key factors influencing its adoption. The study examines how these factors and workplace dynamics, such as organizational support and job stress, impact FR adoption. Experimental trials provided first-hand experiences with FR prototypes, and surveys assessed hoteliers’ perceptions of the benefits. Structural equation modelling tested the research model. Findings show that successful FR adoption in hotels relies on process innovation, supported by organizational and employee backing, leading to improved variety, quality, efficiency, and growth in hotel services.

Original languageEnglish
Pages (from-to)806-821
Number of pages16
JournalAnatolia
Volume36
Issue number4
Early online dateApr 2025
DOIs
Publication statusPublished - Oct 2025

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

Keywords

  • Facial recognition
  • job stress
  • organizational support
  • process innovation
  • product innovation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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