Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study

Abraham Pizam, Ahmet Bulent Ozturk, Adela Balderas-Cejudo, Dimitrios Buhalis, Galia Fuchs, Tadayuki Hara, Jessica Meira, Raquel Garcia Mercedes Revilla, Deepa Sethi, Ye Shen, Olimpia State, Ahmet Hacikara, Suja Chaulagain

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The objective of this study that was conducted with 1077 hotel managers in 11 countries in North and South America, Europe, Asia and the Middle East, was to identify the effects of technological, organizational, and environmental (TOE) factors on hotel managers’ intentions to adopt robotic technologies in their hotels. Structural equation modeling (SEM) was utilized to test the study hypotheses. The results indicated that hotel managers’ intention to adopt robotic technologies were positively influenced by their perceived relative advantage, competitive pressure and top management support and negatively influenced by their perceived complexity of the technology. The study results further demonstrated that the impacts of relative advantage, complexity, top management support, and competitive advantage on intention to adopt were moderated by innovativeness. The current study also addressed the theoretical and practical implications to existing knowledge and practice in the hotel industry.

Original languageEnglish
Article number103139
JournalInternational Journal of Hospitality Management
Volume102
DOIs
StatePublished - 1 Apr 2022

Keywords

  • Hotel industry
  • Robotics
  • Robots in hotels
  • TOE framework
  • Technology adoption

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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