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

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 technolog...

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Authors: Pizam, Abraham, Bulent Ozturk, Ahmet, Balderas-Cejudo, Adela, Buhalis, Dimitrios, Fuchs, Galia, Tadayuki, Hara, Meira, Jessica, García Revilla, Mercedes Raquel, Sethi, Deepa, Shen, Ye, State, Olimpia, Hacikara, Ahmet, Chaulagain, Suja
Format: article
Publication Date:2022
Country:España
Institution:Universidad a Distancia de Madrid (UDIMA)
Repository:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
OAI Identifier:oai:udimundus.udima.es:20.500.12226/1567
Online Access:http://hdl.handle.net/20.500.12226/1567
https://doi.org/10.1016/j.ijhm.2022.103139
Access Level:Open access
Keyword:Technology adoption
Robotics
TOE framework
Robots in hotels
Hotel industry
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oai_identifier_str oai:udimundus.udima.es:20.500.12226/1567
network_acronym_str ES
network_name_str España
repository_id_str
spelling Factors affecting hotel managers’ intentions to adopt robotic technologies: A global studyPizam, AbrahamBulent Ozturk, AhmetBalderas-Cejudo, AdelaBuhalis, DimitriosFuchs, GaliaTadayuki, HaraMeira, JessicaGarcía Revilla, Mercedes RaquelSethi, DeepaShen, YeState, OlimpiaHacikara, AhmetChaulagain, SujaTechnology adoptionRoboticsTOE frameworkRobots in hotelsHotel industryThe 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.2021-22Departamento de Empresas y Actividades Turísticas y MarketingFacultad de Ciencias Económicas y Empresariales2022info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12226/1567https://doi.org/10.1016/j.ijhm.2022.103139reponame:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madridinstname:Universidad a Distancia de Madrid (UDIMA)Inglésinfo:eu-repo/semantics/openAccessoai:udimundus.udima.es:20.500.12226/15672026-06-02T12:44:31Z
dc.title.none.fl_str_mv Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
title Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
spellingShingle Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
Pizam, Abraham
Technology adoption
Robotics
TOE framework
Robots in hotels
Hotel industry
title_short Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
title_full Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
title_fullStr Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
title_full_unstemmed Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
title_sort Factors affecting hotel managers’ intentions to adopt robotic technologies: A global study
dc.creator.none.fl_str_mv Pizam, Abraham
Bulent Ozturk, Ahmet
Balderas-Cejudo, Adela
Buhalis, Dimitrios
Fuchs, Galia
Tadayuki, Hara
Meira, Jessica
García Revilla, Mercedes Raquel
Sethi, Deepa
Shen, Ye
State, Olimpia
Hacikara, Ahmet
Chaulagain, Suja
author Pizam, Abraham
author_facet Pizam, Abraham
Bulent Ozturk, Ahmet
Balderas-Cejudo, Adela
Buhalis, Dimitrios
Fuchs, Galia
Tadayuki, Hara
Meira, Jessica
García Revilla, Mercedes Raquel
Sethi, Deepa
Shen, Ye
State, Olimpia
Hacikara, Ahmet
Chaulagain, Suja
author_role author
author2 Bulent Ozturk, Ahmet
Balderas-Cejudo, Adela
Buhalis, Dimitrios
Fuchs, Galia
Tadayuki, Hara
Meira, Jessica
García Revilla, Mercedes Raquel
Sethi, Deepa
Shen, Ye
State, Olimpia
Hacikara, Ahmet
Chaulagain, Suja
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Technology adoption
Robotics
TOE framework
Robots in hotels
Hotel industry
topic Technology adoption
Robotics
TOE framework
Robots in hotels
Hotel industry
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12226/1567
https://doi.org/10.1016/j.ijhm.2022.103139
url http://hdl.handle.net/20.500.12226/1567
https://doi.org/10.1016/j.ijhm.2022.103139
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Departamento de Empresas y Actividades Turísticas y Marketing
Facultad de Ciencias Económicas y Empresariales
publisher.none.fl_str_mv Departamento de Empresas y Actividades Turísticas y Marketing
Facultad de Ciencias Económicas y Empresariales
dc.source.none.fl_str_mv reponame:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
instname:Universidad a Distancia de Madrid (UDIMA)
instname_str Universidad a Distancia de Madrid (UDIMA)
reponame_str udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
collection udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405698070151168
score 15.300719

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