References
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11–39). Heidelberg, Germany: Springer.
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
- Benckendorff, P. J., Moscardo, G., & Prendergast, D. (Eds.). (2010). Tourism and generation Y. CABI Publishing.
- Bilgihan, A., Barreda, A., Okumus, F., & Nusair, K. (2016). Consumer perception of knowledge-sharing in travel-related online social networks. Tourism Management, 52(1), 287–296. https://doi.org/10.1016/j.tourman.2015.07.002
- Chew, E. Y. T., & Jahari, S. A. (2014). Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan. Tourism Management, 40(1), 382–393. https://doi.org/10.1016/j.tourman.2013.07.008
- Chung, N., Han, H., & Joun, Y. (2015). Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site. Computers in Human Behavior, 50, 588–599. https://doi.org/10.1016/j.chb.2015.02.068
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
- Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
- Femenia-Serra, F., Perles-Ribes, J. F., & Ivars-Baidal, J. A. (2019). Smart destinations and tech-savvy millennial tourists: Hype versus reality. Tourism Review, 74(1), 63–81.
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 328–388. https://doi.org/10.1177/002224378101800313
- Gutierrez, J. M., Molinero, M. A., Soto-Martín, O., & Medina, C. R. (2015). Augmented reality technology spreads information about historical graffiti in temple of Debod. Procedia Computer Science, 75, 390–397. https://doi.org/10.1016/j.procs.2015.12.262
- Han, D. I. D., Tom Dieck, M. C., & Jung, T. (2019). Augmented reality smart glasses (ARSG) visitor adoption in cultural tourism. Leisure Studies, 38(5), 618–633. https://doi.org/10.1080/02614367.2019.1604790
- Harrison, A. W., & Rainer, R. K., Jr. (1992). An examination of the factor structures and concurrent validities for the computer attitude scale, the computer anxiety rating scale, and the computer self-efficacy scale. Educational and Psychological Measurement, 52(3), 735–745. https://doi.org/10.1177/0013164492052003024
- Huh, H. J., Kim, T. T., & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(1), 121–134. https://doi.org/10.1016/j.ijhm.2008.06.004
- İbili, E., Çat, M., Resnyansky, D., Şahin, S., & Billinghurst, M. (2019). An assessment of geometry teaching supported with augmented reality teaching materials to enhance students’ 3D geometry thinking skills. International Journal of Mathematical Education in Science and Technology, 51(2), 224–246.
- Jung, T., Tom Dieck, M. C., Lee, H., & Chung, N. (2016). Effects of virtual reality and augmented reality on visitor experiences in museum. In Information and communication technologies in tourism 2016 (pp. 621–635).
- Kim, K., Hwang, J., Zo, H., & Lee, H. (2016). Understanding users’ continuance intention toward smartphone augmented reality applications. Information Development, 32(2), 161–174. https://doi.org/10.1177/0266666914535119
- Kim, M., & Qu, H. (2014). Travelers’ behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225–245. https://doi.org/10.1108/IJCHM-09-2012-0165
- Lam, T., Cho, V., & Qu, H. (2007). A study of hotel employee behavioral intentions towards adoption of information technology. International Journal of Hospitality Management, 26(1), 49–65. https://doi.org/10.1016/j.ijhm.2005.09.002
- Lee, C., & Wan, G. (2010). Including subjective norm and technology trust in the technology acceptance model: A case of e-ticketing in China. ACM SIGMIS DATABASE: The DATABASE for Advances in Information Systems, 41(4), 40–51.
- Lee, H., Chung, N., & Jung, T. (2015). Examining the cultural differences in acceptance of mobile augmented reality: Comparison of South Korea and Ireland. Information and Communication Technologies in Tourism 2015, 477–491.
- Leue, M., & Jung, T. H. (2014). A theoretical model of augmented reality acceptance. E-review of Tourism Research, 5.
- Limbu, Y. B., Wolf, M., & Lunsford, D. (2012). Perceived ethics of online retailers and consumer behavioral intentions: The mediating roles of trust and attitude. Journal of Research in Interactive Marketing, 6(2), 133–154. https://doi.org/10.1108/17505931211265435
- Liu, H., Wu, L., & Li, X. (2019). Social media envy: How experience sharing on social networking sites drives millennials’ aspirational tourism consumption. Journal of Travel Research, 58(3), 355–369.
- Loureiro, S. M. C., Guerreiro, J., & Ali, F. (2020). 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach. Tourism Management, 77(2), 104028. https://doi.org/10.1016/j.tourman.2019.104028
- Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268. https://doi.org/10.1016/j.jsis.2005.07.003
- Maichum, K., Parichatnon, S., & Peng, K. C. (2017). The influence of environmental concern and environmental attitude on purchase intention towards green products: A case study of young consumers in Thailand. International Journal of Business Marketing and Management, 2, 1–8.
- McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior, 101, 210–224. https://doi.org/10.1016/j.chb.2019.07.002
- Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
- Mütterlein, J., Kunz, R. E., & Baier, D. (2019). Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case. Technological Forecasting and Social Change, 145, 113–124. https://doi.org/10.1016/j.techfore.2019.04.019
- Obeidy, W. K., Arshad, H., & Huang, J. Y. (2017, October). An acceptance model for smart glasses-based tourism augmented reality. AIP Conference Proceedings, 1891(1), 020080.
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
- Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128(1), 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
- Tenemaza, M., Ramírez, J., & de Antonio, A. (2016, September). Acceptability of an A2R application: Analysis of correlations between factors in a TAM. 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), Merida, Yucatan, Mexico (pp. 178–183).
- Tom Dieck, M. C., & Jung, T. (2018). A theoretical model of mobile augmented reality acceptance in urban heritage tourism. Current Issues in Tourism, 21(2), 154–174. https://doi.org/10.1080/13683500.2015.1070801
- Van Winkle, C. M., Bueddefeld, J. N., Halpenny, E. A., & MacKay, K. J. (2019). The unified theory of acceptance and use of technology 2: Understanding mobile device use at festivals. Leisure Studies, 38(5), 634–650. https://doi.org/10.1080/02614367.2019.1618895