How to cite this paper
Ba, D., Dinh, H., Duy, Q., Dai, D & Anh, T. (2023). The acceptance of mobile applications for accommodation booking in Vietnam: Case of gen Z.International Journal of Data and Network Science, 7(3), 1005-1016.
Refrences
Ain, N. U., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An ex-tension of UTAUT2. Information Development, 32(5), 1306–1321. https://doi.org/10.1177/0266666915597546
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Appota (2018). VIETNAM MOBILE APP First half of 2018 MARKET REPORT. Retrieved February 18, 2023, from https://appota.com/uploads/report/Vietnam_mobile_app_market_Report_2018_EN.pdf
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall, Inc.
Brown, S. A., Venkatesh, V., Allen, J., & Hu, P. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1. MIS Quarterly, 29(3), 399–426. https://doi.org/10.2307/25148690
Chatterjee, S. & Hadi, A.S. (2006). Regression Analysis by Example. 4th Edition, John Wiley & Sons, Hoboken.
Choi, J. Y., Kim, Y., Jun, Y., & Kim, Y. (2011). A Bayesian multivariate probit analysis of Korean firms’ information sys-tem adoption. Industrial Management and Data Systems, 111(9), 1465–1480. https://doi.org/10.1108/02635571111182791
Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Work-place’. Journal of Applied Social Psychology (Vol. 22).
Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., & Norgate, S. (2014). Tourism and the smartphone app: ca-pabilities, emerging practice and scope in the travel domain. Current Issues in Tourism, 17(1), 84–101. https://doi.org/10.1080/13683500.2012.718323
Dinh, H. V., & Ngoc, A. N. T. (2021). The factors influence the intention to use mobile applications for room-sharing in vietnam. International Journal of Data and Network Science, 5(4), 501–510. https://doi.org/10.5267/j.ijdns.2021.8.017
DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical review. Jour-nal of Psychoeducational Assessment, 23(3), 225–241. https://doi.org/10.1177/073428290502300303
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Develop-ment, 65(3), 743–763. https://doi.org/10.1007/s11423-016-9508-8
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58–64. https://doi.org/10.1016/j.jairtraman.2013.06.018
Fan, Y., Saliba, A., Kendall, E.A. & Newmarch, J. (2005), Speech interface: an enhancer to the acceptance of m-commerce application, Proceedings of the International Conference on Mobile Business (ICMB’05), Sydney, Australia.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Read-ing, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measure-ment Error. In Source: Journal of Marketing Research (Vol. 18, Issue 1).
Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an integrated model. European Research on Management and Business Economics, 22(3), 167–176. https://doi.org/10.1016/j.iedeen.2016.04.002
Francis, T., & Hoefel, F. (2018, November 12). 'true gen': Generation Z and its implications for companies. McKinsey & Company. Retrieved March 12, 2023, from https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/true-gen-generation-z-and-its-implications-for-companies
Freer, A. (2021). Travel goes mobile: 63% use smartphone when booking. Business of Apps. Retrieved March 01, 2023 https://www.businessofapps.com/news/travel-goes-mobile-63-use-smartphone-when-booking/
Gallivan, M.J., Spitler, V.K., & Koufaris, M. (2005). Does Information Technology Training Really Matter? A Social In-formation Processing Analysis of Coworkers’ Influence on IT Usage in the Workplace. Journal of Management Infor-mation Systems, 22(1), 153–192. https://doi.org/10.1080/07421222.2003.11045830
GlobalWeb Index. (2016). Data Point: Gen Z Spends Over 3.5 Hrs On Mobiles Daily. Retrieved from https://arabianmarketer.ae/data-point-gen-z-spends-over-3-5-hrs-on-mobiles-daily/
GSO (2020). Statistical Yearbook 2019, Statistical Publishing House.
Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: A UTAUT2 perspective of smart travellers. In Tourism and Hospitality Management (Vol. 23, Issue 2, pp. 145–161). University of Rijeka. https://doi.org/10.20867/thm.23.2.6
Hair, J., Black, W., Babin, B., Anderson, R. & Tatham, R. (2006). Multivariate Data Analysis. 6th Edition, Pearson Pren-tice Hall, Upper Saddle River.
Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: An empirical analysis. Industrial Management and Data Systems, 115(7), 1269–1291. https://doi.org/10.1108/IMDS-01-2015-0028
Hubspot. (2019). Mobile Travel Trends. Retrieved March 10, 2023, from https://cdn2.hubspot.net/hubfs/2401279/Travelport%20Digital%20Mobile%20Travel%20Trends%202019%20report.pdf
Kim, M. J., Chung, N., Lee, C. K., & Preis, M. W. (2013). Motivations and use context in mobile tourism shopping: Ap-plying contingency and task-technology fit theories. International Journal of Tourism Research, 17(1), 13–24. https://doi.org/10.1002/jtr.1957
Lai, I. K. W. (2015). Traveler Acceptance of an App-Based Mobile Tour Guide. Journal of Hospitality & Tourism Re-search, 39(3), 401–432. https://doi.org/10.1177/1096348013491596
Lewis, C. C., Fretwell, C. E., Ryan, J., & Parham, J. B. (2013). Faculty Use of Established and Emerging Technologies in Higher Education: A Unified Theory of Acceptance and Use of Technology Perspective. International Journal of Higher Education, 2(2). https://doi.org/10.5430/ijhe.v2n2p22
Lin, F.-J. (2008). Solving multicollinearity in the process of fitting regression model using the nested estimate procedure. Quality & Quantity, 42(3), 417–426. https://doi.org/10.1007/s11135-006-9055-1
Lu, J., Mao, Z., Wang, M., & Hu, L. (2015). Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption. Current Issues in Tourism, 18(11), 1059–1079. https://doi.org/10.1080/13683500.2015.1043248
Morosan, C. (2014). Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel. International Journal of Contemporary Hospitality Management, 26(2), 246–271. https://doi.org/10.1108/IJCHM-11-2012-0221
Morosan, C., & DeFranco, A. (2016). It’s about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17–29. https://doi.org/10.1016/j.ijhm.2015.11.003
Oh, S., Lehto, X. Y., & Park, J. (2009). Travelers’ Intent to Use Mobile Technologies as a Function of Effort and Perfor-mance Expectancy. Journal of Hospitality Marketing & Management, 18(8), 765–781. https://doi.org/10.1080/19368620903235795
Okumus, B., Ali, F., Bilgihan, A., & Ozturk, A. B. (2018). Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. International Journal of Hospitality Management, 72, 67–77. https://doi.org/10.1016/j.ijhm.2018.01.001
Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User Acceptance of Mobile Apps for Restau-rants: An Expanded and Extended UTAUT-2. Sustainability, 11(4), 1210. https://doi.org/10.3390/su11041210
Park, J., Yang, S., & Lehto, X. (2007). Adoption Of Mobile Technologies For Chinese Consumers. Journal of Electronic Commerce Research, 8(3), 196–206.
Park, S., & Huang, Y. (2017). Motivators and inhibitors in booking a hotel via smartphones. International Journal of Con-temporary Hospitality Management, 29(1), 161–178. https://doi.org/10.1108/IJCHM-03-2015-0103
Pham, D. D., & Hwang, Y.-H. (2021). Generation gap in sustainable travel behaviors: Gen Y vs. Gen Z. International Journal of Tourism and Hospitality Research, 35(4), 5–17. https://doi.org/10.21298/IJTHR.2021.4.35.4.5
Poong, Y. S., Yamaguchi, S., & Takada, J. I. (2017). Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos. Information Development, 33(1), 57–71. https://doi.org/10.1177/0266666916638136
Rao, S., & Troshani, I. (2007). A Conceptual Framework and Propositions for the Acceptance of Mobile Services. In Jour-nal of Theoretical and Applied Electronic Commerce Research (Vol. 2). www.jtaer.com
Rogers, E.M. (1995). Diffusion of Innovations. 4th Edition, the Free Press, New York.
Rutledge, D. N., & Barros, A. S. (2002). Durbin-Watson statistic as a morphological estimator of information content. In Analytica Chimica Acta (Vol. 454).
San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in ru-ral tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
Singh, S., Somaiya, K. J., Srivastava, R., Srivastava, V., & Srivastava, R. K. (2010). Customer Acceptance of Mobile Banking: A Conceptual Framework. In SIES Journal of Management (Vol. 7, Issue 1). https://www.researchgate.net/publication/337732095
Sladek, S., & Grabinger, A. (2014). Gen Z: the first Generation of the 21st Century has arrived. Available at. https://www.xyzuniversity.com/wp-content/uploads/2018/08/GenZ_Final-dl1.pdf
Statista (2023a). Global smartphone penetration rate as share of population from 2016 to 2021. Retrieved February 18, 2023: https://www.statista.com/statistics/203734/global-smartphone-penetration-per-capita-since2005/#:~:text=The%20global%20smartphone%20penetration%20rate,population%20of%20around%207.4%20billion.
Statista (2023b). Number of smartphone subscriptions worldwide from 2016 to 2021, with forecasts from 2022 to 2027. Retrieved February 18, 2023 https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18–31. https://doi.org/10.1108/YC-07-2015-00537
Tan, G. W.-H., Lee, V. H., Lin, B., & Ooi, K.-B. (2017). Mobile applications in tourism:
The future of the tourism industry? Industrial Management & Data Systems, 117(3), 560–581. https://doi.org/10.1108/IMDS-12-2015-0490
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Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Appota (2018). VIETNAM MOBILE APP First half of 2018 MARKET REPORT. Retrieved February 18, 2023, from https://appota.com/uploads/report/Vietnam_mobile_app_market_Report_2018_EN.pdf
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall, Inc.
Brown, S. A., Venkatesh, V., Allen, J., & Hu, P. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1. MIS Quarterly, 29(3), 399–426. https://doi.org/10.2307/25148690
Chatterjee, S. & Hadi, A.S. (2006). Regression Analysis by Example. 4th Edition, John Wiley & Sons, Hoboken.
Choi, J. Y., Kim, Y., Jun, Y., & Kim, Y. (2011). A Bayesian multivariate probit analysis of Korean firms’ information sys-tem adoption. Industrial Management and Data Systems, 111(9), 1465–1480. https://doi.org/10.1108/02635571111182791
Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Work-place’. Journal of Applied Social Psychology (Vol. 22).
Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., & Norgate, S. (2014). Tourism and the smartphone app: ca-pabilities, emerging practice and scope in the travel domain. Current Issues in Tourism, 17(1), 84–101. https://doi.org/10.1080/13683500.2012.718323
Dinh, H. V., & Ngoc, A. N. T. (2021). The factors influence the intention to use mobile applications for room-sharing in vietnam. International Journal of Data and Network Science, 5(4), 501–510. https://doi.org/10.5267/j.ijdns.2021.8.017
DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical review. Jour-nal of Psychoeducational Assessment, 23(3), 225–241. https://doi.org/10.1177/073428290502300303
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Develop-ment, 65(3), 743–763. https://doi.org/10.1007/s11423-016-9508-8
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58–64. https://doi.org/10.1016/j.jairtraman.2013.06.018
Fan, Y., Saliba, A., Kendall, E.A. & Newmarch, J. (2005), Speech interface: an enhancer to the acceptance of m-commerce application, Proceedings of the International Conference on Mobile Business (ICMB’05), Sydney, Australia.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Read-ing, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measure-ment Error. In Source: Journal of Marketing Research (Vol. 18, Issue 1).
Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an integrated model. European Research on Management and Business Economics, 22(3), 167–176. https://doi.org/10.1016/j.iedeen.2016.04.002
Francis, T., & Hoefel, F. (2018, November 12). 'true gen': Generation Z and its implications for companies. McKinsey & Company. Retrieved March 12, 2023, from https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/true-gen-generation-z-and-its-implications-for-companies
Freer, A. (2021). Travel goes mobile: 63% use smartphone when booking. Business of Apps. Retrieved March 01, 2023 https://www.businessofapps.com/news/travel-goes-mobile-63-use-smartphone-when-booking/
Gallivan, M.J., Spitler, V.K., & Koufaris, M. (2005). Does Information Technology Training Really Matter? A Social In-formation Processing Analysis of Coworkers’ Influence on IT Usage in the Workplace. Journal of Management Infor-mation Systems, 22(1), 153–192. https://doi.org/10.1080/07421222.2003.11045830
GlobalWeb Index. (2016). Data Point: Gen Z Spends Over 3.5 Hrs On Mobiles Daily. Retrieved from https://arabianmarketer.ae/data-point-gen-z-spends-over-3-5-hrs-on-mobiles-daily/
GSO (2020). Statistical Yearbook 2019, Statistical Publishing House.
Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: A UTAUT2 perspective of smart travellers. In Tourism and Hospitality Management (Vol. 23, Issue 2, pp. 145–161). University of Rijeka. https://doi.org/10.20867/thm.23.2.6
Hair, J., Black, W., Babin, B., Anderson, R. & Tatham, R. (2006). Multivariate Data Analysis. 6th Edition, Pearson Pren-tice Hall, Upper Saddle River.
Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: An empirical analysis. Industrial Management and Data Systems, 115(7), 1269–1291. https://doi.org/10.1108/IMDS-01-2015-0028
Hubspot. (2019). Mobile Travel Trends. Retrieved March 10, 2023, from https://cdn2.hubspot.net/hubfs/2401279/Travelport%20Digital%20Mobile%20Travel%20Trends%202019%20report.pdf
Kim, M. J., Chung, N., Lee, C. K., & Preis, M. W. (2013). Motivations and use context in mobile tourism shopping: Ap-plying contingency and task-technology fit theories. International Journal of Tourism Research, 17(1), 13–24. https://doi.org/10.1002/jtr.1957
Lai, I. K. W. (2015). Traveler Acceptance of an App-Based Mobile Tour Guide. Journal of Hospitality & Tourism Re-search, 39(3), 401–432. https://doi.org/10.1177/1096348013491596
Lewis, C. C., Fretwell, C. E., Ryan, J., & Parham, J. B. (2013). Faculty Use of Established and Emerging Technologies in Higher Education: A Unified Theory of Acceptance and Use of Technology Perspective. International Journal of Higher Education, 2(2). https://doi.org/10.5430/ijhe.v2n2p22
Lin, F.-J. (2008). Solving multicollinearity in the process of fitting regression model using the nested estimate procedure. Quality & Quantity, 42(3), 417–426. https://doi.org/10.1007/s11135-006-9055-1
Lu, J., Mao, Z., Wang, M., & Hu, L. (2015). Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption. Current Issues in Tourism, 18(11), 1059–1079. https://doi.org/10.1080/13683500.2015.1043248
Morosan, C. (2014). Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel. International Journal of Contemporary Hospitality Management, 26(2), 246–271. https://doi.org/10.1108/IJCHM-11-2012-0221
Morosan, C., & DeFranco, A. (2016). It’s about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17–29. https://doi.org/10.1016/j.ijhm.2015.11.003
Oh, S., Lehto, X. Y., & Park, J. (2009). Travelers’ Intent to Use Mobile Technologies as a Function of Effort and Perfor-mance Expectancy. Journal of Hospitality Marketing & Management, 18(8), 765–781. https://doi.org/10.1080/19368620903235795
Okumus, B., Ali, F., Bilgihan, A., & Ozturk, A. B. (2018). Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. International Journal of Hospitality Management, 72, 67–77. https://doi.org/10.1016/j.ijhm.2018.01.001
Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User Acceptance of Mobile Apps for Restau-rants: An Expanded and Extended UTAUT-2. Sustainability, 11(4), 1210. https://doi.org/10.3390/su11041210
Park, J., Yang, S., & Lehto, X. (2007). Adoption Of Mobile Technologies For Chinese Consumers. Journal of Electronic Commerce Research, 8(3), 196–206.
Park, S., & Huang, Y. (2017). Motivators and inhibitors in booking a hotel via smartphones. International Journal of Con-temporary Hospitality Management, 29(1), 161–178. https://doi.org/10.1108/IJCHM-03-2015-0103
Pham, D. D., & Hwang, Y.-H. (2021). Generation gap in sustainable travel behaviors: Gen Y vs. Gen Z. International Journal of Tourism and Hospitality Research, 35(4), 5–17. https://doi.org/10.21298/IJTHR.2021.4.35.4.5
Poong, Y. S., Yamaguchi, S., & Takada, J. I. (2017). Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos. Information Development, 33(1), 57–71. https://doi.org/10.1177/0266666916638136
Rao, S., & Troshani, I. (2007). A Conceptual Framework and Propositions for the Acceptance of Mobile Services. In Jour-nal of Theoretical and Applied Electronic Commerce Research (Vol. 2). www.jtaer.com
Rogers, E.M. (1995). Diffusion of Innovations. 4th Edition, the Free Press, New York.
Rutledge, D. N., & Barros, A. S. (2002). Durbin-Watson statistic as a morphological estimator of information content. In Analytica Chimica Acta (Vol. 454).
San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in ru-ral tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
Singh, S., Somaiya, K. J., Srivastava, R., Srivastava, V., & Srivastava, R. K. (2010). Customer Acceptance of Mobile Banking: A Conceptual Framework. In SIES Journal of Management (Vol. 7, Issue 1). https://www.researchgate.net/publication/337732095
Sladek, S., & Grabinger, A. (2014). Gen Z: the first Generation of the 21st Century has arrived. Available at. https://www.xyzuniversity.com/wp-content/uploads/2018/08/GenZ_Final-dl1.pdf
Statista (2023a). Global smartphone penetration rate as share of population from 2016 to 2021. Retrieved February 18, 2023: https://www.statista.com/statistics/203734/global-smartphone-penetration-per-capita-since2005/#:~:text=The%20global%20smartphone%20penetration%20rate,population%20of%20around%207.4%20billion.
Statista (2023b). Number of smartphone subscriptions worldwide from 2016 to 2021, with forecasts from 2022 to 2027. Retrieved February 18, 2023 https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
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