6,978
Views
267
CrossRef citations to date
0
Altmetric
Articles

A theoretical model of mobile augmented reality acceptance in urban heritage tourism

&
Pages 154-174 | Received 28 Apr 2015, Accepted 05 Jul 2015, Published online: 30 Jul 2015

References

  • Aldhaban, F. (2012). Exploring the adoption of smartphone technology: Literature review. Paper presented at the Technology Management for Emerging Technologies (PICMET), Vancouver.
  • Alholjailan, M. I. (2012). Thematic analysis: A critical review of its process and evaluation. West East Journal of Social Sciences, 1(1), 39–47.
  • Ayeh, J., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 35, 132–143.
  • Bader, G. E., & Rossi, C. A. (2002). Focus groups: A step- by- step guide. (3rd ed.). Canada: The Bader Group.
  • Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology acceptance: Understanding consumer practice. International Journal of Service Industry Management, 17, 111–135.
  • Boyatzis, R. E. (1998). Thematic analysis and code development-transforming qualitative information. Thousand Oaks, CA: Sage.
  • Bradley, T. (2013). Study finds most mobile apps put your security and privacy at risk. Retrieved from http://www.pcworld.com/article/2068824/study-finds-most-mobile-apps-put-your-security-and-privacy-at-risk.html
  • Chang, H. H. (2010). Task technology fit and user acceptance of online auctions. International Journal of Human Computer Science, 68, 69–89.
  • Chang, T. C., Milne, S., Fallon, D., & Pohlmann, C. (1996). Urban heritage tourism – The gobal-local nexus. Annals of Tourism Research, 23(2), 284–305.
  • Cheng, J. M., Sheen, G., & Lou, G. (2006). Consumer acceptance of the internet as a channel of distribution in Taiwan – A channel function perspective. Technovation, 26, 856–864.
  • Choi, H., Park, J., & Park, S. (2011). A study on the effect of mobile tourism information services on tourist satisfaction and continual reuse. International Journal of Business Information Technology, 1, 189–195.
  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral Dissertation). Massachusetts Institute of Technology, USA.
  • 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.
  • DeVellis, R. F. (2003). Scale development theory and applications. Thousand Oaks, CA: Sage.
  • Failte Ireland. (2014a). Destination Dublin: A collective strategy for tourism growth to 2020. Retrieved from media/WebsiteStructure/Documents/4_Corporate_Documents/Strategy_Operations_Plans/Dublin-a-Collective-Strategy-for-Tourism-Growth.pdf
  • Failte Ireland. (2014b). New blueprint to grow tourism in Dublin launched. Retrieved from http://www.failteireland.ie/Utility/Media-Centre/New-blueprint-to-grow-tourism-in-Dublin-launched.aspx
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior an introduction to theory and research. London: Addison Wesley Publishing Company.
  • Gao, T., Rohm, A., Sultan, F., & Huang, S. (2012). Antecedents of consumer attitudes toward mobile marketing: A comparative study of youth markets in the United States and China. Thunderbird International Business Review, 54(2), 211–224.
  • Garau, C. (2014). From territory to smartphone: Smart fruition of cultural heritage for dynamic tourism development. Planning Practice and Research, 29(3), 238–255.
  • Garau, C., & Ilardi, E. (2014). The “non-places” meet the “places:” Virtual tours on smartphones for the enhancement of cultural heritage. Journal of Urban Technology, 21(1), 79–91.
  • Gray, D. E. (2009). Doing research in the real world. London: Sage.
  • Hair, J. F., Money, A., Page, M., & Samouel, P. (2007). Research methods for business. Chichester: John Wiley.
  • Han, D. I., Jung, T., & Gibson, A. (2014a). Dublin AR: Implementing augmented reality in tourism. In Z. Xiang, & I. Tussyadiah (Eds.), Information and communication technologies in tourism (pp. 511–523). Vienna: Springer.
  • Han, D. I., Jung, T., & Leue, M. C. (2014b). A user experience model for augmented reality applications in the urban heritage context. Paper presented at the 12th APacCHRIE Conference, Kuala Lumpur.
  • Haugstvedt, A. C., & Krogstie, J. (2012). Mobile augmented reality for cultural heritage: A technology acceptance study. Paper presented at the IEEE International Symposium on Mixed and Augmented Reality 2012 Science and Technology Proceedings, Atlanta.
  • Herbst, I., Braun, A., McCall, R., & Broll, W. (2008). TimeWarp: Interactive time travel with a mobile mixed reality game. Paper presented at MobileHCI 2008, Amsterdam.
  • Herrero Crespo, A., & Rodriguez del Bosque Rodriguez, I. A. (2008). Explaining B2C e-commerce acceptance: An integrative model based on the framework by Gatignon and Robertson. Interacting with Computers, 20, 212–224.
  • Hollerer, T. H., & Feiner, S. K. (2004). Mobile augmented reality. In H. Karinzi, & A. Hammand (Eds.), Telegeoformatics: Location-based computing services (pp. 1–39). Florida: Taylor and Francis books Ltd.
  • Jung, T., Chung, N., & Leue, M. C. (2015). The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park. Tourism Management, 49, 75–86.
  • Jung, T., & Han, D. (2014). Augmented Reality (AR) in urban heritage tourism. e-Review of Tourism Research, 5, 1–5.
  • Kalay, Y., Kvan, T., & Affleck, J. (2007). New heritage: New media and cultural heritage. New York: Routledge.
  • Kaplan, A., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53, 59–68.
  • Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of use. Information and Management, 35, 237–250.
  • Kim, H. W., Chan, H. C., & Guota, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43, 11–126.
  • Kimbrough, A. M., Guadagno, R. E., Muuscanell, N. L., & Dill, N. (2013). Gender differences in mediated communication: Women connect more than do men. Computers in Human Behavior, 29(3), 896–900.
  • King, R. (2009). Augmented reality goes mobile. Retrieved from http://www.businessweek.com/stories/2009-11-03/augmented-reality-goes-mobilebusinessweek-business-news-stock-market-and-financial-advice
  • Kounavis, C. D., Kasimati, A. E., & Zamani, E. D. (2012). Enhancing the tourism experience through mobile augmented reality: Challenges and prospects. International Journal of Engineering Business Management, 4(10), 1–6.
  • Krueger, A. R., & Casey, M. A. (2014). Focus groups: A practical guide for applied research. London: Sage.
  • Lee, H., Chung, N., & Jung, T. (2015). Examining the cultural differences in acceptance of mobile augmented reality: Comparison of South Korea and Ireland. In I. Tussyadiah, & A. Inversini (Eds.), Information and communication technologies in tourism (pp. 477–491). Vienna: Springer.
  • Lee, S. M., Kim, I., Rhee, S., & Trimi, S. (2006). The role of exogenous factors in technology acceptance: The case of object-oriented technology. Information and Management, 43, 469–480.
  • Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193–208.
  • Lee, W., Xiong, L., & Hu, C. (2012). The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model. International Journal of Hospitality Management, 31(3), 819–827.
  • Leue, M. C., tom Dieck, D., & Jung, T. (2014). A theoretical model of augmented reality acceptance. e-Review of Tourism Research, 5, 1–5.
  • Lin, H. F. (2010). An investigation into the effects of IS quality and top management support on ERP system usage. Total Quality Management & Business Excellence, 21(3), 335–349.
  • Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.
  • Linaza, M. T., Guttierrez, A., & Garcia, A. (2014). Pervasive augmented reality games to experience tourism destinations. In Z. Xiang, & I. Tussyadiah (Eds.), Information and communication technologies in tourism (pp. 497–509). Vienna: Springer.
  • Livingston, M. A., Gabbard, J. L., Swan, J. E., Sibley, C. M., & Barrow, J. H. (2013). Basic perception in head-worn augmented reality displays. In W. Huang, L. Weidong, M. Alem, & M. A. Livingston (Eds.), Human factors in augmented reality environments (pp. 35–56). New York: Springer.
  • Lobo, S., & Elaluf-Calderwood, S. (2012). The blackberry veil: Mobile use and privacy practices by young female Saudis. Journal of Islamic Marketing, 3(2), 190–206.
  • Lopez-Nicolas, C., Molina-Castillo, F., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information and Management, 45, 359–364.
  • Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–222.
  • Lucas, H., & Spitler, V. (1999). Technology use and performance: A field study of broker workstations. Decision Science, 30, 291–311.
  • Maldonado, U., Khan, G., Moon, J., & Rho, J. (2010). E-learning motivation and educational portal acceptance in developing countries. Online Information Review, 35, 66–85.
  • McFarland, D., & Hamilton, D. (2006). Adding contextual specificity to the technology acceptance model. Computers in Human Behaviour, 22(3), 427–447.
  • Montazemi, A. R., & Saremi, H. Q. (2013). Factors affecting internet banking pre-usage expectation formation. Paper presented at 46th Hawaii International Conference on System Sciences, Hawaii.
  • Morosan, C. (2012). Theoretical and empirical considerations of guests’ perceptions of biometric systems in hotels: Extending the technology acceptance model. Journal of Hospitality & Tourism Research, 36(1), 52–84.
  • Olsson, T., Kärkäinen, T., Lagerstam, E., & Ventä-Olkkonen, L. (2012). User evaluation of mobile augmented reality scenarios. Journal of Ambient Intelligence and Smart Environments, 4(1), 29–47.
  • Pai, F. Y., & Huang, K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 789(4), 650–660.
  • Pan, S., & Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26, 1111–1119.
  • Parra-López, E., Bulchand-Gidumal, J., Gutierrez-Tano, D., & Diaz-Armas, D. (2011). Intentions to use social media in organizing and taking vacation trips. Computers in Human Behavior, 27(2), 640–654.
  • Patuelli, R., Mussoni, M., & Candela, G. (2013). The effects of World heritage sites on domestic tourism: A spatial interaction model for Italy. Journal of Geographical Systems, 15(3), 369–402.
  • Pearce, P. (2011). Tourist behaviour and the contemporary world. Bristol: Channel View Publications.
  • Prayag, G., & Ryan, C. (2011). The relationship between the ‘push’ and ‘pull’ factors of a tourist destination: The role of nationality – An analytical qualitative research approach. Current Issues in Tourism, 14(2), 121–143.
  • Rodriguez-Fino, E., Martin-Gutierrez, J., & Meneses Fernqandez, M. D. (2013). Enrique Armas Davara, interactive tourist guide: Connecting web 2.0, augmented reality and QR codes. Procedia Computer Science, 25, 338–344.
  • Rogers, E. (1962). Diffusion of innovations. New York: Free Press.
  • Sanchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of moodle using TAM. Computer in Human Behavior, 26(6), 1632–1640.
  • Shibly, H. H. (2011). An extended tam model to evaluate user's acceptance of electronic cheque clearing systems at Jordanian commercial banks. Australian Journal of Basic and Applied Sciences, 5(5), 147–156.
  • Shin, D. (2007). User acceptance of mobile internet: Implication for convergence technologies. Interacting with Computers, 19, 472–483.
  • Silverman, D. (2011). Qualitative research: Issues of theory, method and practice. London: Sage.
  • Stern, B. B., Royne, M. B., Stafford, T. F., & Bienstock, C. C. (2008). Consumer acceptance of online auctions: An extension and revision of the TAM. Psychology & Marketing, 25(7), 619–636.
  • Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64, 53–78.
  • Tayie, S. (2005). Research methods and writing research proposals. Cairo: CAPSCU.
  • Team, F. (2008). News Irish. Retrieved from http://www.finfacts.ie/irishfinancenews/article_1014422.shtml
  • Teo, T. (2010). Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: A structural equation modeling of an extended technology acceptance model. Asia Pacific Education Review, 11, 253–262.
  • Toft, M. B., Schuitema, G., & Thøgersen, J. (2014). Responsible technology acceptance: Model development and application to consumer acceptance of smart grid technology. Applied Energy, 134, 392–40.
  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
  • Venkatesh, V., Morris, M. G., & Ackermann, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60.
  • Wang, K., & Lin, C. L. (2012). The adoption of mobile value-added services: Investigating the influence of IS quality and perceived playfulness. Managing Service Quality: An International Journal, 22(2), 184–208.
  • Weiser, E. (2001). The functions of Internet use and their social and psychological consequences. CyberPsychology & Behavior, 4, 723–743.
  • Wimmer, R., & Dominick, J. (2013). Mass media research. Boston: Cengage Learning.
  • Wojciechowski, R., & Cellary, W. (2013). Evaluation of learners’ attitude toward learning in ARIES augmented reality environments. Computers & Education, 68, 570–585.
  • Wu, K., Zhao, Y., Zhu, Q., Tan, X., & Zheng, H. (2011). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management, 31(6), 572–581.
  • Yi, Y., Jackson, J., Park, J., & Probst, J. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information and Management, 43, 350–363.
  • Yovcheva, Z., Buhalis, D., & Gatzidis, C. (2012). Overview of smartphone augmented reality applications for tourism. e-Review of Tourism Research, 10(2), 1–5.
  • Yovcheva, Z., Buhalis, D., & Gatzidis, C. (2013). Engineering augmented tourism experiences. In L. Cantoni, & Z. Xiang (Eds.), Information and communication technologies in tourism 2013 (pp. 24–36). Heidelberg: Springer.
  • Yovcheva, Z., Buhalis, D., & Gatzidis, C. (2014). Empirical evaluation of smartphone augmented reality browsers in an urban tourism destination context. International Journal of Mobile Human Computer Interaction, 6(2), 10–31.
  • Yussof, A., Ibrahim, R., Zaman, H., Ahmad, A., & Suhaifi, S. (2011). Users acceptance of mixed reality technology. Issues in Information Systems, 7(1), 194–205.
  • Zarmpou, T., Saprikis, V., Markos, A., & Vlachopolou, M. (2012). Modeling users’ acceptance of mobile services. Electronic Commerce Research, 12, 225–248.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.