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Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, G. Tsekouras (2023)
Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel UpsellingInf., 14
Nadine Drexler, Viyella Lapré (2019)
For better or for worse: Shaping the hospitality industry through robotics and artificial intelligenceResearch in Hospitality Management, 9
Yonnim Lee, O. Kwon (2011)
Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based servicesElectron. Commer. Res. Appl., 10
Saleh Alwahaishi, V. Snás̃el (2013)
Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical ModelDiffusion of Innovation eJournal
B. Foroughi, Madugoda Senali, M. Iranmanesh, Ahmad Khanfar, M. Ghobakhloo, Nagaletchimee Annamalai, Bita Naghmeh-Abbaspour (2023)
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCAInternational Journal of Human–Computer Interaction
M. Obal (2017)
What drives post-adoption usage? Investigating the negative and positive antecedents of disruptive technology continuous adoption intentionsIndustrial Marketing Management, 63
Pongsakorn Limna, Tanpat Kraiwanit (2023)
The role of chatgpt on customer service in the hospitality industry: An exploratory study of hospitality workers' experiences and perceptionsTourism and hospitality management
Kenneth Ng, J. Wong, Dengming Xie, Jingyan Zhu (2022)
From the attributes of smart tourism technologies to loyalty and WOM via user satisfaction: the moderating role of switching costsKybernetes, 52
Sachin Kuberkar, T. Singhal (2020)
Factors Influencing Adoption Intention of AI Powered Chatbot for Public Transport Services within a Smart City
I. Pappas, A. Woodside (2021)
Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketingInt. J. Inf. Manag., 58
Hosun Yoo, O. Kwon, Namyeon Lee (2016)
Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systemsNew Review of Hypermedia and Multimedia, 22
G. Piccoli, T. Lui, Bettina Grün (2017)
The impact of IT-enabled customer service systems on service personalization, customer service perceptions, and hotel performanceTourism Management, 59
Dhoha AlSaleh, R. Thakur (2019)
Impact of Cognition, Affect, and Social Factors on Technology AdoptionInternational Journal of Technology Marketing
M. Wang (2014)
THE CURRENT PRACTICE OF INTEGRATION OF INFORMATION COMMUNICATION TECHNOLOGY TO ENGLISH TEACHING AND THE EMOTIONS INVOLVED IN BLENDED LEARNINGTurkish Online Journal of Educational Technology, 13
A. Correia, M. Kozak, S. Kim (2019)
Investigation of Luxury Values in Shopping Tourism Using a Fuzzy-Set ApproachJournal of Travel Research, 58
Muhammad Amin, Md. Arefin, Md. Alam, Tareq Rasul (2022)
Understanding the Predictors of Rural Customers’ Continuance Intention toward Mobile Banking Services Applications during the COVID-19 PandemicJournal of Global Marketing, 35
Dimitrios Buhalis, Iuliia Moldavska (2021)
Voice assistants in hospitality: using artificial intelligence for customer serviceJournal of Hospitality and Tourism Technology
G.T. Gardner, P.C. Stern (1996)
Environmental Problems and Human Behavior
Jongsik Yu, S. Kim, Tadesse Hailu, Junghyun Park, Heesup Han (2023)
The effects of virtual reality (VR) and augmented reality (AR) on senior tourists’ experiential quality, perceived advantages, perceived enjoyment, and reuse intentionCurrent Issues in Tourism, 27
Shang Gao, Zhe Zang (2016)
An empirical examination of users’ adoption of mobile advertising in ChinaInformation Development, 32
Mohammed Salah, Hussam Alhalbusi, Maria Ismail, Fadi Abdelfattah (2023)
Chatting with ChatGPT: decoding the mind of Chatbot users and unveiling the intricate connections between user perception, trust and stereotype perception on self-esteem and psychological well-beingCurrent Psychology
J. Kim, Aleksandar Radic, Bee‐Lia Chua, Bonhak Koo, Heesup Han (2022)
Digital currency and payment innovation in the hospitality and tourism industryInternational Journal of Hospitality Management
Hyeon Jo, Youngsok Bang (2023)
Analyzing ChatGPT adoption drivers with the TOEK frameworkScientific Reports, 13
Heesup Han (2015)
Travelers' pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behaviorTourism Management, 47
Sambhav Gupta, Krithika Jagannath, Nitin Aggarwal, Ramamurti Sridar, Shawn Wilde, Yu Chen (2019)
Artificially Intelligent (AI) Tutors in the Classroom: A Need Assessment Study of Designing Chatbots to Support Student Learning
Xingjun Ru, Shanyong Wang, Shuai Yan (2018)
Exploring the effects of normative factors and perceived behavioral control on individual’s energy-saving intention: An empirical study in eastern ChinaResources, Conservation and Recycling
Chi-Cheng Huang (2017)
Cognitive factors in predicting continued use of information systems with technology adoption modelsInf. Res., 22
C.C. Ragin (2008)
Redesigning Social Inquiry: Fuzzy Sets and beyond
Hazar Hmoud, Farah Shishan, Zainah Qasem, S. Bazi (2023)
The effect of Arabic language type on banking chatbots adoptionHeliyon, 9
Justin Paul, Akiko Ueno, C. Dennis (2023)
ChatGPT and consumers: Benefits, Pitfalls and Future Research AgendaInternational Journal of Consumer Studies
Miluska Murillo-Zegarra, C. Ruiz-Mafé, S. Sanz‐Blas (2020)
The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile AppsSustainability
Jeong Kim, Jungkeun Kim, Changju Kim, S. Kim (2023)
Do you trust ChatGPTs? Effects of the ethical and quality issues of generative AI on travel decisionsJournal of Travel & Tourism Marketing, 40
Jeong Kim, Jungkeun Kim, S. Kim, Tadesse Hailu (2023)
Effects of AI ChatGPT on travelers’ travel decision-makingTourism Review
Lin Li, Kyung Lee, Emmanuel Emokpae, Sung-Byung Yang (2021)
What makes you continuously use chatbot services? Evidence from chinese online travel agenciesElectronic Markets, 31
J. Paul, A. Ueno, C. Dennis (2023)
ChatGPT and consumers: benefits, pitfalls and future research agendaInternaitonal Journal of Consumer Studies, 47
Miguel Orden-Mejía, Assumpció Huertas (2021)
Analysis of the attributes of smart tourism technologies in destination chatbots that influence tourist satisfactionCurrent Issues in Tourism, 25
Prithvi Roy, B. Ramaprasad, Manan Chakraborty, Nandan Prabhu, Shreelatha Rao (2020)
Customer Acceptance of Use of Artificial Intelligence in Hospitality Services: An Indian Hospitality Sector PerspectiveGlobal Business Review
Sven Laumer, C. Maier, F. Gubler (2019)
Chatbot Acceptance in Healthcare: Explaining User Adoption of Conversational Agents for disease Diagnosis
S. Alwahaishi, V. Snásel (2013)
Acceptance and use of information and communications technology: a UTAUT and flow based theoretical modelJournal of Technology Management and Innovation, 8
Shiu‐Wan Hung, Che-Wei Chang, Yu-Chen Ma (2021)
A new reality: Exploring continuance intention to use mobile augmented reality for entertainment purposesTechnology in Society
Hyoungeun Moon, Heesup Han (2018)
Tourist experience quality and loyalty to an island destination: the moderating impact of destination imageJournal of Travel & Tourism Marketing, 36
M. Salah, H. Alhalbusi, M.M. Ismail, F. Abdelfattah (2023)
Chatting with ChatGPT: decoding the mind of chatbot users and unveiling the intricate connections between user perception, trust and stereotype perception on self-esteem and psychological well-beingResearch Square
Y.K. Dwivedi, N. Pandey, W. Currie, A. Micu (2023)
Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agendaInternational Journal of Contemporary Hospitality Management, 36
T. Duman, A. Mattila (2005)
The role of affective factors on perceived cruise vacation valueTourism Management, 26
I. Carvalho, Stanislav Ivanov (2023)
ChatGPT for tourism: applications, benefits and risksTourism Review
Shanyong Wang, Jin Fan, Dingtao Zhao, Shu Yang, Y. Fu (2016)
Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior modelTransportation, 43
Dr. Anand, Dr. Ramachandran, Dr. Sambasivan, Dr. Batra (2019)
Impact of Hedonic Motivation on Consumer Satisfaction Towards Online Shopping: Evidence from Malaysiae-Service Journal, 11
Jiyoung Yoon, H. Yu (2022)
Impact of customer experience on attitude and utilization intention of a restaurant-menu curation chatbot serviceJournal of Hospitality and Tourism Technology
M. Isaacson, I. Cohen, C. Shpigelman (2019)
Leveraging Emotional Wellbeing and Social Engagement of the Oldest Old by Using Advanced Communication Technologies: A Pilot Study Using Uniper-Care's Technology3rd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2019)
Stephan Grzeskowiak, M. Sirgy (2007)
Consumer Well-Being (CWB): The Effects of Self-Image Congruence, Brand-Community Belongingness, Brand Loyalty, and Consumption RecencyApplied Research in Quality of Life, 2
S. Ahangama (2023)
An Investigation of Domain-based Social Influence on ChatGPT-Related Twitter Data
Lior Solomovich, Villy Abraham (2024)
Exploring the influence of ChatGPT on tourism behavior using the technology acceptance modelTourism Review
Janarthanan Balakrishnan, Yogesh Dwivedi, F. Malik, A. Baabdullah (2021)
Role of smart tourism technology in heritage tourism developmentJournal of Sustainable Tourism, 31
Yimin Zhu, Jiemin Zhang, Jifei Wu (2023)
Who did what and when? The effect of chatbots’ service recovery on customer satisfaction and revisit intentionJournal of Hospitality and Tourism Technology
H. Shin, Miyoung Jeong (2021)
Travelers’ motivations to adopt augmented reality (AR) applications in a tourism destinationJournal of Hospitality and Tourism Technology
N. Pappas, K. Glyptou (2020)
Accommodation decision-making during the COVID-19 pandemic: Complexity insights from GreeceInternational Journal of Hospitality Management, 93
Madeleine Toft, G. Schuitema, J. Thøgersen (2014)
Responsible Technology Acceptance: Model Development and Application to Consumer Acceptance of Smart Grid TechnologyApplied Energy, 134
T. Al-Maghrabi, C. Dennis (2011)
What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi ArabiaInternational Journal of Retail & Distribution Management, 39
D. Gursoy, Yu Li, Hakjun Song (2023)
ChatGPT and the hospitality and tourism industry: an overview of current trends and future research directionsJournal of Hospitality Marketing & Management, 32
T. Gill (1996)
Expert Systems Usage: Task Change and Intrinsic MotivationMIS Q., 20
J. Kim, Jinsoo Hwang (2020)
Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter?Journal of Hospitality and Tourism Management, 42
Arshian Sharif, S. Raza (2017)
The influence of hedonic motivation, self-efficacy, trust and habit on adoption of internet banking: a case of developing countryInternational Journal of Electronic Customer Relationship Management, 11
M. Al-Emran, A. AlQudah, G. Abbasi, Mohammed Al-Sharafi, M. Iranmanesh (2024)
Determinants of Using AI-Based Chatbots for Knowledge Sharing: Evidence From PLS-SEM and Fuzzy Sets (fsQCA)IEEE Transactions on Engineering Management, 71
P. Goel, N. Kaushik, Brijesh Sivathanu, Rajasshrie Pillai, Jasper Vikas (2022)
Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agendaTourism Review
N. Huijts, E. Molin, L. Steg (2012)
Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive frameworkRenewable & Sustainable Energy Reviews, 16
M. Gong, Ku Yan (2004)
Applying Technology Acceptance Model, Theory of Planned Behavior and Social Cognitive Theory to Mobile Data Communications Service Acceptance
Murat Özel, Serdar Çağlak, Mehmet Erdoğan (2013)
Are affective factors a good predictor of science achievement? Examining the role of affective factors based on PISA 2006Learning and Individual Differences, 24
L. Steg, J. Groot (2010)
Explaining prosocial intentions: testing causal relationships in the norm activation model.The British journal of social psychology, 49 Pt 4
This study aims to explore the interplay of cognitive, affective, and normative constituents for their potential acceptance or rejection of artificial intelligence (AI) and ChatGPTs in the hospitality and tourism context.Design/methodology/approachUsing an advanced analytical approach (i.e. a fuzzy-set qualitative comparative analysis), the study tested hypotheses based on 474 responses from individuals who have used ChatGPT for hospitality and tourism information.FindingsThe study found multiple solutions, including cognitive, affective and normative drivers for strong and weak continuance intentions toward AI-based ChatGPT. Informativeness, one of the cognitive drivers, was found to be a necessary condition for achieving the desired outcome.Originality/valueThis research provides novel insights into the functionality of developing multiple configurations to predict complex travelers behaviors in the context of hospitality and tourism technology consumption.
Journal of Hospitality and Tourism Technology – Emerald Publishing
Published: Aug 5, 2024
Keywords: Informativeness; Intention; Hedonic; Artificial intelligence (AI); ChatGPT; Robot technology; 人工智能(AI); ChatGPT; 享乐的; 信息性; 意图; 机器人; 技术
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