Cited by 369Technology Adoption and User BehaviourInformation Systems Theories and ImplementationCustomer Service Quality and Loyalty

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model

Kim, Tae Goo, Lee, Jae Hyoung, Law, Rob·2008·Tourism Management

DOI 10.1016/j.tourman.2007.05.016

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.tourman.2007.05.016

Cites

86 of 86 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,944

Show all 86 references

Sorted by citations

Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019) · Information Systems Frontiers · doi:10.1007/s10796-017-9774-y · Cited by 2,137
Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site
Chung, N., Han, H. S., & Joun, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.068 · Cited by 657
Exploring the Implications of Virtual Reality Technology in Tourism Marketing: An Integrated Research Framework
Huang, Y. C., Backman, K. F., Backman, S. J., & Chang, L. L. (2015) · International Journal of Tourism Research · doi:10.1002/jtr.2038 · Cited by 692
Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework
Martín, H. S., & Crespo, A. (2011) · Tourism Management · doi:10.1016/j.tourman.2011.04.003 · Cited by 694
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust
Agag, G., & El-Masry, A. A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.02.038 · Cited by 574
Reducing perceived health risk to attract hotel customers in the COVID-19 pandemic era: Focused on technology innovation for social distancing and cleanliness
Shin, H., & Kang, J. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102664 · Cited by 569
Predicting the intention to use consumer-generated media for travel planning
Ayeh, J. K., Au, N., & Law, R. (2012) · Tourism Management · doi:10.1016/j.tourman.2012.06.010 · Cited by 568
Self-citation
Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions
Casaló, L. V., Flavián, C., & Guinalíu, M. (2010) · Tourism Management · doi:10.1016/j.tourman.2010.04.007 · Cited by 478
Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014) · Tourism Management · doi:10.1016/j.tourman.2014.01.017 · Cited by 590
Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites
Kim, H.-B., Kim, T. T., & Shin, S. W. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.07.001 · Cited by 425
Self-citation
Determinants of social media adoption by B2B organizations
Siamagka, N., Christodoulides, G., Michaelidou, N., & Valvi, A. C. (2015) · Industrial Marketing Management · doi:10.1016/j.indmarman.2015.05.005 · Cited by 392
Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions
Yang, F. X. (2013) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348013515918 · Cited by 340
Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories
Ayeh, J. K. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.049 · Cited by 298
Antecedents and consequences of e-learning acceptance
Cheng, Y. (2010) · Information Systems Journal · doi:10.1111/j.1365-2575.2010.00356.x · Cited by 296
Travelers' behavioral intention toward hotel self-service kiosks usage
Kim, M., & Qu, H. (2013) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2012-0165 · Cited by 282
Effects of quality antecedents on e‐learning acceptance
Cheng, Y. (2012) · Internet Research · doi:10.1108/10662241211235699 · Cited by 302
The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction
Seo, K. H., & Lee, J. H. (2021) · Sustainability · doi:10.3390/su13084431 · Cited by 302
Self-citation
Predicting e‐procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour
Gamal Aboelmaged, M. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011030042 · Cited by 240
Reliability Generalization of Perceived Ease of Use, Perceived Usefulness, and Behavioral Intentions1
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.01 · Cited by 242
Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents
Kaushik, A. K., Agrawal, A. K., & Rahman, Z. (2015) · Tourism Management Perspectives · doi:10.1016/j.tmp.2015.09.002 · Cited by 246
Examination of factors influencing the use of mobile learning system: An empirical study
Almaiah, M. A., & Alismaiel, O. A. (2018) · Education and Information Technologies · doi:10.1007/s10639-018-9810-7 · Cited by 249
Social network for the choice of tourist destination: attitude and behavioural intention
Pietro, L. D., Virgilio, F. D., & Pantano, E. (2012) · Journal of Hospitality and Tourism Technology · doi:10.1108/17579881211206543 · Cited by 225
Understanding the determinants of hotel booking intentions and moderating role of habit
Agag, G., & El‐Masry, A. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.01.007 · Cited by 238
A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels
Huh, H., Kim, T. T., & Law, R. (2008) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2008.06.004 · Cited by 222
Self-citation
Understanding students’ adoption of the ChatGPT chatbot in higher education: the role of anthropomorphism, trust, design novelty and institutional policy
Polyportis, A., & Pahos, N. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2317364 · Cited by 264
Impact of cultural values on technology acceptance and technology readiness
Sunny, S., Patrick, L., & Rob, L. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.06.017 · Cited by 197
Self-citation
Ensuring positive feedback: Factors that influence customer satisfaction in the contemporary hospitality industry
Radojević, T., Stanišić, N., & Stanić, N. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.04.002 · Cited by 194
Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption
Lu, J., Mao, Z., Wang, M., & Hu, L. (2015) · Current Issues in Tourism · doi:10.1080/13683500.2015.1043248 · Cited by 203
Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention
Cheng, Y. (2014) · Information Technology and People · doi:10.1108/itp-01-2013-0024 · Cited by 235
Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications
Huang, Y., Chang, L. L., Yu, C.-P., & Chen, J. S. (2019) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2019.1580172 · Cited by 207
Going Mobile: Defining Context for On-the-Go Travelers
Lamsfus, C., Wang, D., Alzua-Sorzabal, A., & Xiang, Z. (2015) · Journal of Travel Research · doi:10.1177/0047287514538839 · Cited by 179
Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia
Usman, H., Mulia, D., Chairy, C., & Projo, N. W. K. (2020) · Journal of Islamic marketing · doi:10.1108/jima-01-2020-0020 · Cited by 225
Travel web-site design: Information task-fit, service quality and purchase intention
Dedeke, A. (. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.01.001 · Cited by 171
How to enhance hotel guests’ acceptance and experience of smart hotel technology: An examination of visiting intentions
Yang, H., Song, H., Cheung, C., & Guan, J. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.103000 · Cited by 200
What makes you choose Airbnb again? An examination of users’ perceptions toward the website and their stay
Wang, C. (., & Jeong, M. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.04.006 · Cited by 197
Traveler Acceptance of an App-Based Mobile Tour Guide
Lai, I. K. W. (2013) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348013491596 · Cited by 173
Re-examining perceived usefulness and ease of use in online booking
Küçükusta, D., Law, R., Sahli, A. B., & Legohérel, P. (2015) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2013-0413 · Cited by 192
Self-citation
The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word‐of‐mouth
Berezina, K., Çobanoğlu, C., Miller, B., & Kwansa, F. A. (2012) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596111211258883 · Cited by 162
Understanding Consumer’s Acceptance of Technology-Based Innovations in Retailing
Pantano, E., & Pietro, L. D. (2012) · Journal of technology management & innovation · doi:10.4067/s0718-27242012000400001 · Cited by 177
Choosing self-service technologies or interpersonal services—The impact of situational factors and technology-related attitudes
Gelderman, C. J., Ghijsen, P., & van Diemen, R. (2011) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2011.06.003 · Cited by 161
Does digital content marketing affect tourism consumer behavior? An extension of t echnology acceptance model
Mathew, V., & Soliman, M. S. A. (2020) · Journal of Consumer Behaviour · doi:10.1002/cb.1854 · Cited by 159
Innovative marketing strategies for the successful construction of drone food delivery services: Merging TAM with TPB
Choe, J. Y., Kim, J. J., & Hwang, J. (2021) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2020.1862023 · Cited by 159
Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia
Altalhi, M. M. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10317-x · Cited by 178
The critical factors impact on online customer satisfaction
Lin, C.-C., Wu, H.-Y., & Chang, Y.-F. (2011) · Procedia Computer Science · doi:10.1016/j.procs.2010.12.047 · Cited by 166
Theoretical and Empirical Considerations of Guests’ Perceptions of Biometric Systems in Hotels
Morosan, C. V. (2010) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348010380601 · Cited by 150
Exploring the emotional antecedents and outcomes of technology acceptance
Lu, Y., Papagiannidis, S., & Alamanos, E. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.056 · Cited by 174
Modelling roles of task‐technology fit and self‐efficacy in hotel employees' usage behaviours of hotel information systems
Kim, T. (., Suh, Y. K., Lee, G., & Choi, B. G. (2010) · International Journal of Tourism Research · doi:10.1002/jtr.787 · Cited by 139
Self-citation
Acceptance of social commerce framework in Saudi Arabia
Sheikh, Z., Islam, T., Rana, S., Hameed, Z., & Saeed, U. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.08.003 · Cited by 138
Is cuteness irresistible? The impact of cuteness on customers’ intentions to use AI applications
Lv, X., Luo, J., Liang, Y., Liu, Y., & Li, C. (2021) · Tourism Management · doi:10.1016/j.tourman.2021.104472 · Cited by 136
A TAM-based approach to explore the effect of online experience on destination image: A smartphone user's perspective
Xia, M., Zhang, Y., & Zhang, C. (2017) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2017.05.002 · Cited by 143
Elucidating usage of e-government learning: A perspective of the extended technology acceptance model
Shyu, S. H., & Huang, J. (2011) · Government Information Quarterly · doi:10.1016/j.giq.2011.04.002 · Cited by 127
Why do hotel frontline employees use service robots in the workplace? A technology affordance theory perspective
Leung, X. Y., Zhang, H., Lyu, J., & Bai, B. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103380 · Cited by 136
Developing and testing a global model to explain the adoption of websites by users in rural tourism accommodations
Crespo, A., & Martín, H. S. (2012) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2012.02.005 · Cited by 119
Implementing Blended Learning at a Developing University: Obstacles in the way
Tshabalala, M. G., Ndeya-Ndereya, C. N., & van der Merwe, T. (2014) · The Electronic Journal of e-Learning · Cited by 115
Antecedents and outcomes of internet usage within organisations in Yemen: An extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model
Isaac, O., Abdullah, Z., Aldholay, A. H., & Ameen, A. (2019) · Asia Pacific Management Review · doi:10.1016/j.apmrv.2018.12.003 · Cited by 147
Does ICT adoption enhance hotel performance?
Sirirak, S., Islam, N., & Khang, D. B. (2011) · Journal of Hospitality and Tourism Technology · doi:10.1108/17579881111112403 · Cited by 114
Determinants of multi-service smartcard success for smart cities development: A study based on citizens’ privacy and security perceptions
Belanche, D., Casaló, L. V., & Pérez-Rueda, A. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2014.12.004 · Cited by 115
Front desk technology innovation in hotels: A managerial perspective
Shin, H., Perdue, R. R., & Kang, J. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.04.004 · Cited by 112
E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model
Ahmad, S., Bhatti, S. H., & Hwang, Y. (2019) · Information Development · doi:10.1177/0266666919871611 · Cited by 142
The Impact of Technology Amenities on Hotel Guest Overall Satisfaction
Çobanoğlu, C., Berezina, K., Kasavana, M. L., & Erdem, M. (2011) · Journal of Quality Assurance in Hospitality & Tourism · doi:10.1080/1528008x.2011.541842 · Cited by 107
Exploring Tourist Adoption of Tourism Mobile Payment: An Empirical Analysis
Peng, R., Xiong, L., & Yang, Z. (2012) · Journal of theoretical and applied electronic commerce research · doi:10.4067/s0718-18762012000100003 · Cited by 106
Progress on technology use in tourism
Cai, W., Richter, S., & McKenna, B. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-07-2018-0068 · Cited by 109
How Tourists Perceive the Usefulness of Technology Adoption in Hotels: Interaction Effect of Past Experience and Education Level
Tavitiyaman, P., Zhang, X., & Tsang, W. Y. (2020) · Journal of China Tourism Research · doi:10.1080/19388160.2020.1801546 · Cited by 103
Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model
Amin, M. A., Muzareba, A. M., Chowdhury, I. U., & Khondkar, M. (2023) · Journal of Financial Services Marketing · doi:10.1057/s41264-022-00197-2 · Cited by 156
An alternative model of self-service retail technology adoption
Kaushik, A. K., & Rahman, Z. (2015) · Journal of Services Marketing · doi:10.1108/jsm-08-2014-0276 · Cited by 116
Hotel guests’ social media acceptance in luxury hotels
Dieck, M. C. T., Jung, T. H., Kim, W. G., & Moon, Y. J. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-10-2015-0552 · Cited by 113
Adoption and Use of Learning Management Systems in Education: The Role of Playfulness and Self-Management
Balkaya, S., & Akküçük, U. (2021) · Sustainability · doi:10.3390/su13031127 · Cited by 99
Using Facebook for travel decision-making: an international study of antecedents
Mariani, M. M., Styvén, M. E., & Ayeh, J. K. (2019) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2018-0158 · Cited by 110
How online search behavior is influenced by user-generated content on review websites and hotel interactive websites
Crespo, A., Martín, H. S., & Mogollón, J. M. H. (2015) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2014-0255 · Cited by 95
The role of customer intimacy in increasing Islamic bank customer loyalty in using e-banking and m-banking
Mulia, D., Usman, H., & Parwanto, N. B. (2020) · Journal of Islamic marketing · doi:10.1108/jima-09-2019-0190 · Cited by 136
Understanding museum visitor satisfaction and revisit intentions through mobile guide system: moderating role of age in museum mobile guide adoption
Kang, J., Jang, J., & Jeong, C.-S. (2017) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2017.1410190 · Cited by 93
Hospitality Industry Web-Based Self-Service Technology Adoption Model
Lee, L. Y.-S. (2013) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348013495695 · Cited by 93
Assessing the impact of full-fledged location-based augmented reality games on tourism destination visits
Lacka, E. (2018) · Current Issues in Tourism · doi:10.1080/13683500.2018.1514370 · Cited by 86
Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices
Bonetti, F., Montecchi, M., Plangger, K. A., & Schau, H. J. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00896-1 · Cited by 101
Understanding the Mediating Effects of Relationship Quality on Technology Acceptance: An Empirical Study of E-Appointment System
Chen, S., Liu, S.-C., Li, S.-H., & Yen, D. C. (2013) · Journal of Medical Systems · doi:10.1007/s10916-013-9981-0 · Cited by 87
An analysis of technology applications in the restaurant industry
Çavuşoğlu, M. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-12-2017-0141 · Cited by 83
The impact of cultural values on the acceptance of hotel technology adoption from the perspective of hotel employees
Sun, S., Lee, P., Law, R., & Zhong, L. (2020) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2020.04.012 · Cited by 82
Self-citation
Viral marketing and purchase intentions of mobile applications users
Fard, M. H., & Marvi, R. (2019) · International Journal of Emerging Markets · doi:10.1108/ijoem-06-2018-0291 · Cited by 94
Investigating cross-national heterogeneity in the adoption of online hotel reviews
Ayeh, J. K., Au, N., & Law, R. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.04.003 · Cited by 76
Self-citation
Examination of the adoption of augmented reality: A VAM approach
Lau, C. K. H., Chui, C. F. R., & Au, N. (2019) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2019.1655076 · Cited by 81
Travelers' E-Purchase Intent of Tourism Products and Services
Nunkoo, R., & Ramkissoon, H. R. (2012) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2012.680240 · Cited by 79
An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance
Sun, S., Lee, P., Law, R., & Hyun, S. S. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102633 · Cited by 76
Self-citation
An Integrated Model of Employees’ Behavioral Intention Toward Innovative Information and Communication Technologies in Travel Agencies
Cheng, S. C. L., & Cho, V. (2010) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348010384598 · Cited by 87
An improvement or a gimmick? The importance of user perceived values, previous experience, and industry context in human–robot service interaction
Hu, Y. (2021) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2021.100645 · Cited by 77
Customers' Adoption of Biometric Systems in Restaurants: An Extension of the Technology Acceptance Model
Morosan, C. V. (2011) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2011.570645 · Cited by 75
Understanding travellers’ reactions to robotic services: a multiple case study approach of robotic hotels
Çakar, K., & Aykol, Ş. (2020) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-01-2020-0015 · Cited by 73
Factors influencing students' use of a library Web portal: Applying course-integrated information literacy instruction as an intervention
Chen, Y.-H., & Chengalur-Smith, I. N. (2015) · The Internet and Higher Education · doi:10.1016/j.iheduc.2015.04.005 · Cited by 73
How social shopping retains customers? Capturing the essence of website quality and relationship quality
Hsu, C., Chen, M., & Kumar, P. V. (2016) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2016.1171706 · Cited by 71
The other side of technology adoption: Examining the relationships between e-commerce expenses and hotel performance
Hua, N., Morosan, C. V., & Defranco, A. L. (2014) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.12.001 · Cited by 69
Factors affecting adoption of mobile banking in Pakistan
Kazi, A. K., & Mannan, M. A. (2013) · International Journal of Research in Business and Social Science (2147-4478) · doi:10.20525/ijrbs.v2i3.73 · Cited by 64
Examining the Antecedents and Consequences of Customers’ Trust Toward Mobile Retail Apps in India
Kaushik, A. K., Mohan, G., & Kumar, V. (2019) · Journal of Internet Commerce · doi:10.1080/15332861.2019.1686333 · Cited by 66
Perceived Risk Factors Influence on Intention to Continue Using Internet Banking among Malaysians
Kassim, N. M., & Ramayah, T. (2015) · Global Business Review · doi:10.1177/0972150915569928 · Cited by 63
The main paths of eTourism: trends of managing tourism through Internet
Chuang, T. C., Liu, J. S., Lu, L. Y. Y., Tseng, F.-M., Lee, Y., & Chang, C.-T. (2016) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2016.1220963 · Cited by 63
Information and communication technologies and human resources in hospitality and tourism
Gonzalez, R., Gascó, J. L., & Llopis, J. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-04-2020-0272 · Cited by 62
From the attributes of smart tourism technologies to loyalty and WOM via user satisfaction: the moderating role of switching costs
Ng, K. S. P., Wong, J. W. C., Xie, D., & Zhu, J. (2022) · Kybernetes · doi:10.1108/k-09-2021-0840 · Cited by 70
Hotel customers’ behavioral intentions toward service robots: the role of utilitarian and hedonic values
Ozturk, A. B., Pizam, A., Hacikara, A., An, Q., Chaulagain, S., Balderas-Cejudo, A., Buhalis, D., Fuchs, G., Hara, T., Meira, J. V. D. S., et al. (2023) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-07-2022-0223 · Cited by 62
Consumers’ intentions to use ridesharing services in Iran
Akbari, M., Moradi, A., Seyyedamiri, N., Zúñiga, M. Á., Rahmani, Z., & Padash, H. (2020) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2020.100616 · Cited by 71
Acceptance of contactless technology in the hospitality industry: extending the unified theory of acceptance and use of technology 2
Hao, F. (2021) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2021.1984264 · Cited by 64
The effect of power and gender on technology acceptance
Zhang, L., Nyheim, P., & Mattila, A. S. (2014) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-03-2014-0008 · Cited by 61
The tourism Web acceptance model
Sahli, A. B., & Legohérel, P. (2015) · Journal Of Vacation Marketing · doi:10.1177/1356766715607589 · Cited by 70

Authors: Kim, T. G., Lee, J. H., & Law, R.
Affiliations: Sangji University (KR)
Hong Kong Polytechnic University (HK)
Corresponding author: Lee, Jae Hyoung
ORCID: Lee, Jae Hyoung
Law, Rob
Venue: Tourism Management
Publisher: Elsevier BV
Published: 2008-06
Volume: 29
Issue: 3
Pages: 500-513
ISSN: 0261-5177 (ISSN-L)
DOI: 10.1016/j.tourman.2007.05.016
OpenAlex: W2018636602
Cited by: 369
References: 86
Citations by year: 2026: 6 · 2025: 19 · 2024: 18 · 2023: 25 · 2022: 31 · 2021: 29 · 2020: 35 · 2019: 27 · 2018: 28 · 2017: 12 · 2016: 12 · 2015: 28 · 2014: 25 · 2013: 15 · 2012: 21
FWCI: 16.66
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Tourism Management (publishedVersion)
PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
Keywords: technology acceptance, extended technology acceptance model, information system quality, perceived value, perceived ease of use, perceived usefulness, attitude toward using, actual use, frontline hotel employees, hotel information systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks