TY - JOUR
T1 - Factors affecting hotel managers’ intentions to adopt robotic technologies
T2 - A global study
AU - Pizam, Abraham
AU - Ozturk, Ahmet Bulent
AU - Balderas-Cejudo, Adela
AU - Buhalis, Dimitrios
AU - Fuchs, Galia
AU - Hara, Tadayuki
AU - Meira, Jessica
AU - Revilla, Raquel Garcia Mercedes
AU - Sethi, Deepa
AU - Shen, Ye
AU - State, Olimpia
AU - Hacikara, Ahmet
AU - Chaulagain, Suja
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/4/1
Y1 - 2022/4/1
N2 - 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.
AB - 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.
KW - Hotel industry
KW - Robotics
KW - Robots in hotels
KW - TOE framework
KW - Technology adoption
UR - http://www.scopus.com/inward/record.url?scp=85123097772&partnerID=8YFLogxK
U2 - 10.1016/j.ijhm.2022.103139
DO - 10.1016/j.ijhm.2022.103139
M3 - Article
AN - SCOPUS:85123097772
SN - 0278-4319
VL - 102
JO - International Journal of Hospitality Management
JF - International Journal of Hospitality Management
M1 - 103139
ER -