Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
Authors: Pizam, A., Buhalis, D. et al.
Journal: International Journal of Hospitality Management
Volume: 102
ISSN: 0278-4319
DOI: 10.1016/j.ijhm.2022.103139
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.
https://eprints.bournemouth.ac.uk/36954/
Source: Scopus
Factors affecting hotel managers' intentions to adopt robotic technologies: A global study
Authors: Pizam, A., Buhalis, D. et al.
Journal: INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
Volume: 102
eISSN: 1873-4693
ISSN: 0278-4319
DOI: 10.1016/j.ijhm.2022.103139
https://eprints.bournemouth.ac.uk/36954/
Source: Web of Science (Lite)
Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
Authors: Pizam, A., Buhalis, D. et al.
Journal: International Journal of Hospitality Management
Volume: 102
Issue: April
ISSN: 0278-4319
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.
https://eprints.bournemouth.ac.uk/36954/
Source: BURO EPrints