Skip to main content
SpringerLink
Log in

Issues and Challenges in Technology Application in the Asian Tourism Industry

  • Reference work entry
  • First Online:
Handbook of Technology Application in Tourism in Asia

Abstract

Increasing interaction of global travelers, diminishing skilled labor, growing popularity of online marketplaces, ubiquitous connectivity, and digital transformation of business bring unique challenges to the tourism industry. Recent literature on IT/IS and social science denotes the use of theoretical frameworks of innovation adoption to explore the behavioral relationship in varied subject areas. In recent years, technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) were identified as the most used innovation adoption theories over other predecessor frameworks. Both models’ theoretical outlook outlines behavioral elements that enable respective innovation to get diffused to respective settings, which is vital to orchestrate technology-based customer experience or create a business process in a modern business environment. Hence, this chapter signifies the theoretical and empirical outlook of both TAM and UTUAT in the Asian tourism industry, accompanied by the impact of innovation in addressing the modern challenges in the tourism industry.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 699.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 799.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694.

    Article  Google Scholar 

  • Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.

    Article  Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

    Article  Google Scholar 

  • Ajzen, I., & Fishbein, M. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.

    Google Scholar 

  • Ali, F., Nair, P. K., & Hussain, K. (2016). An assessment of students’ acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools. Journal of Hospitality, Leisure, Sport and Tourism Education, 18, 51–60.

    Article  Google Scholar 

  • Ashcroft, E., Tuomi, A., Wang, M., & Solnet, D. (2019). Resistance to the adoption of ICTs in independent restaurants: Insights from China and the UK. e-Review of Tourism Research, 16(2/3), 105–114.

    Google Scholar 

  • Ayeh, J. K. (2015). Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173–180.

    Article  Google Scholar 

  • Bae, S. Y., & Han, J. H. (2020). Considering cultural consonance in trustworthiness of online hotel reviews among generation Y for sustainable tourism: An extended TAM model. Sustainability, 12(7), 2942.

    Article  Google Scholar 

  • Balouchi, M., Aziz, Y. A., Hasangholipour, T., Khanlari, A., Abd Rahman, A., & Raja-Yusof, R. N. (2017). Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents. Journal of Hospitality and Tourism Technology, 8(2), 168–189.

    Article  Google Scholar 

  • Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the internet: The state of eTourism research. Tourism Management, 29(4), 609–623.

    Article  Google Scholar 

  • Burdett, M. (2018). The future of tourism. Case studies in context for pre-university geography courses. Retrieved at https://geographycasestudysite.wordpress.com/the-future-of-tourism.

  • Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349–375.

    Article  Google Scholar 

  • Chen, X., & Li, Z. (2020). Research on the behavior of college students’ online tourism booking based on TAM. Journal of Service Science and Management, 13(01), 28–44.

    Article  Google Scholar 

  • Chiu, C.-M., & Wang, E. T. G. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201.

    Article  Google Scholar 

  • Chong, A. Y. L., Khong, K. W., Ma, T., McCabe, S., & Wang, Y. (2018). Analyzing key influences of tourists’ acceptance of online reviews in travel decisions. Internet Research, 28(3), 564–586.

    Article  Google Scholar 

  • Crotti, R., & Misrahi, T. (2017). The travel and tourism competitiveness report 2017. Paving the way for a more sustainable and inclusive future (p. 2017). World Economic Forum.

    Google Scholar 

  • Damanpour, F., & Wischnevsky, J. D. (2006). Research on innovation in organizations: Distinguishing innovation-generating from innovation-adopting organizations. Journal of Engineering and Technology Management, 23(4), 269–291.

    Article  Google Scholar 

  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Devanarayana, B., & Thelijjagoda, S. (2016). Influences on handheld POS usage in star class hotels–Sri Lanka. International Journal of Scientific Research and Innovative Technology, 3(4), 102–120.

    Google Scholar 

  • Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers. Journal of Marketing Research, 28(3), 307–319.

    Google Scholar 

  • El-Gohary, H. (2012). Factors affecting E-marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5), 1256–1269.

    Article  Google Scholar 

  • Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88.

    Article  Google Scholar 

  • Farooq, M. S., Salam, M., Jaafar, N., Fayolle, A., Ayupp, K., Radovic-Markovic, M., & Sajid, A. (2017). Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2. Interactive Technology and Smart Education, 14(4), 329–348.

    Article  Google Scholar 

  • Fatima, J. K., Ghandforoush, P., Khan, M., & Masico, R. D. (2017). Role of innovativeness and self-efficacy in tourism m-learning. Tourism Review, 72(3), 344–355.

    Article  Google Scholar 

  • Fong, L. H. N., Lam, L. W., & Law, R. (2017). How locus of control shapes intention to reuse mobile apps for making hotel reservations: Evidence from Chinese consumers. Tourism Management, 61, 331–342.

    Article  Google Scholar 

  • Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.

    Article  Google Scholar 

  • Gu, D., Khan, S., Khan, I. U., & Khan, S. U. (2019). Understanding Mobile tourism shopping in Pakistan: An integrating framework of innovation diffusion theory and technology acceptance model. Mobile Information Systems, 2019, 1–19.

    Google Scholar 

  • Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: A UTAUT2 perspective of smart travellers. Tourism and Hospitality Management, 23(2), 145–161.

    Article  Google Scholar 

  • Hall, M. C., & Williams, A. (2008). Tourism and innovation. Routledge.

    Book  Google Scholar 

  • Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 103–119.

    Google Scholar 

  • Hoti, E. (2015). The technological, organizational and environmental framework of IS innovation adaption in small and medium enterprises. Evidence from research over the last 10 years. International Journal of Business and Management, 3(4), 1–14.

    Article  Google Scholar 

  • Ikeda, K., Marshall, A., & Majumdar, A. (2014). More than magic: How the most successful organizations innovate. IBM Institute for Business Value. Retrieved from: https://www.ibm.com/downloads/cas/BDZ5NPLE. Accessed 01 Oct 2019.

  • Ismail, M. N. I., Hanafiah, M. H., Hemdi, M. A., Sumarjan, N., & Azdel, A. A. (2020). Determinants of customer acceptance and usage of mobile hotel reservation apps (MHRA): An exploratory factor analysis. Journal of Tourism, Hospitality & Culinary Arts (JTHCA), 12(1), 1–17.

    Google Scholar 

  • Israel, K., Tscheulin, D. K., & Zerres, C. (2019). Virtual reality in the hotel industry: Assessing the acceptance of immersive hotel presentation. European Journal of Tourism Research, 21, 5–22.

    Article  Google Scholar 

  • Jayawardena, C., Ahmad, A., & Jaharadak, A. A. (2020). The leadership and technology acceptance perspective of digital transformation in Sri Lankan hotels: A pilot study. Solid State Technology, 63(2s), 3782–3801.

    Google Scholar 

  • Kansakar, P., Munir, A., & Shabani, N. (2019). Technology in the hospitality industry: Prospects and challenges. IEEE Consumer Electronics Magazine, 8(3), 60–65.

    Article  Google Scholar 

  • Kim, M. J., & Hall, C. M. (2020). Tourism management perspectives. Tourism Management, 34, 100638.

    Google Scholar 

  • Kim, M. J., Kim, W. G., Kim, J. M., & Kim, C. (2016). Does knowledge matter to seniors’ usage of mobile devices? Focusing on motivation and attachment. International Journal of Contemporary Hospitality Management, 28(8), 1702–1727.

    Article  Google Scholar 

  • Kim, T. G., Lee, J. H., & Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism Management, 29(3), 500–513.

    Article  Google Scholar 

  • Kucukusta, D., Law, R., Besbes, A., & Legohérel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185–198.

    Article  Google Scholar 

  • Lanzolla, G., Lorenz, A., Miron-Spektor, E., Schilling, M., Solinas, G., & Tucci, C. (2018). Digital transformation: What is new if anything? Academy of Management Discoveries, 4(3), 378–387.

    Article  Google Scholar 

  • Law, R., Chan, I. C. C., & Wang, L. (2018). A comprehensive review of mobile technology use in hospitality and tourism. Journal of Hospitality Marketing & Management, 27(6), 626–648.

    Article  Google Scholar 

  • Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705–737.

    Article  Google Scholar 

  • Lin, C. T. (2010). Examining e-travel sites: An empirical study in Taiwan. Online Information Review, 34(2), 205–228.

    Article  Google Scholar 

  • Lucas, H. C., Jr., & Spitler, V. K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291–311.

    Article  Google Scholar 

  • Mahardika, H., Thomas, D., Ewing, M. T., & Japutra, A. (2019). Predicting consumers’ trial/adoption of new technology: Revisiting the behavioral expectations–behavioral intentions debate. The International Review of Retail, Distribution and Consumer Research, 29(1), 99–117.

    Article  Google Scholar 

  • Martinez-Ros, E., & Orfila-Sintes, F. (2012). Training plans, manager’s characteristics and innovation in the accommodation industry. International Journal of Hospitality Management, 31(3), 686–694.

    Article  Google Scholar 

  • Maruping, L. M., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623–637.

    Article  Google Scholar 

  • Morosan, C., & Bowen, J. T. (2018). Analytic perspectives on online purchasing in hotels: A review of literature and research directions. International Journal of Contemporary Hospitality Management, 30(1), 557–580.

    Article  Google Scholar 

  • Nadra, N. M., Mataram, I. G. A. B., & Budiasa, I. M. (2018). Analysis of use of global distribution system in tourism industry in Indonesia using technology acceptance model: A pilot survey in Bali. Retrieved from: file:///C:/Users/USER/Downloads/25903859.pdf. Accessed 01 Oct 2019.

    Google Scholar 

  • Newman, D. (2018). Top 6 digital transformation trends in hospitality and tourism. Forbes. CMO network. Retrieved at https://www.forbes.com/sites/danielnewman/2018/01/02/top-6-digital-transformation-trends-in-hospitality-and-tourism/#5820eb0467df.

  • Nunkoo, R., & Ramkissoon, H. (2013). Travelers’ E-purchase intent of tourism products and services. Journal of Hospitality Marketing and Management, 22(5), 505–529.

    Article  Google Scholar 

  • Nwakanma, I. C., Udunwa, A. I., Anyiam, K. E., Ukwunna, E. D., Obasi, E. C., & Bubagha, S. Z. (2018). Factors influencing telecommunication subscribers’ decision to port among network providers in Nigeria. American Journal of Computer Science Information and Technology, 6(1), 15.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Paulo, M. M., Rita, P., Oliveira, T., & Moro, S. (2018). Understanding mobile augmented reality adoption in a consumer context. Journal of Hospitality and Tourism Technology, 9(2), 142–157.

    Article  Google Scholar 

  • Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). Collier Macmillan Canada, Inc.

    Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

    Google Scholar 

  • Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.

    Google Scholar 

  • San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350.

    Article  Google Scholar 

  • Sezgin, E. (Ed.). (2016). e-consumers in the era of new tourism. Springer.

    Google Scholar 

  • Su, K. W., Tseng, H. H., Wu, A. T., & Lien, C. Y. (2016). Exploring user Behavioral intention of the tourist guiding system by users’ perspective. Retrieved from: http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp169-173.pdf. Accessed 01 Oct 2019.

  • Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967.

    Article  Google Scholar 

  • 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 and Data Systems, 117(3), 560–581.

    Article  Google Scholar 

  • Thaler, R. H. (2000). From homo economicus to homo sapiens. Journal of Economic Perspectives, 14(1), 133–141.

    Article  Google Scholar 

  • Thong, J. Y. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187–214.

    Article  Google Scholar 

  • Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington.

    Google Scholar 

  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • Venkatesh, V., Maruping, L. M., & Brown, S. A. (2006). Role of time in self-prediction of behavior. Organizational Behavior and Human Decision Processes, 100(2), 160–176.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Article  Google Scholar 

  • Warshaw, P. R., & Davis, F. D. (1984). Self-understanding and the accuracy of behavioral expectations. Personality and Social Psychology Bulletin, 10(1), 111–118.

    Article  Google Scholar 

  • Warshaw, P. R., & Davis, F. D. (1985a). The accuracy of behavioral intention versus behavioral expectation for predicting behavioral goals. The Journal of Psychology, 119(6), 599–602.

    Article  Google Scholar 

  • Warshaw, P. R., & Davis, F. D. (1985b). Disentangling Behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213–228.

    Article  Google Scholar 

  • Wikhamn, W., Armbrecht, J., & Wikhamn, B. R. (2018). Innovation in Swedish hotels. International Journal of Contemporary Hospitality Management, 30(6), 2481–2498.

    Article  Google Scholar 

  • Wu, Y.-L., Chiu, C.-Y., Yang, P.-C., & Li, C.-P. (2011). Impact of web usability on user acceptance using tourism website. Journal of Statistics and Management Systems, 14(6), 1007–1025.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Management and Science University, Shah Alam, Malaysia

    Chathura Jayawardena & Adam Amril Jaharadak

  2. Post Graduate Centre, Management and Science University, Shah Alam, Selangor, Malaysia

    Ahmad Albattat

Authors
  1. Chathura Jayawardena
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmad Albattat
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Adam Amril Jaharadak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ahmad Albattat .

Editor information

Editors and Affiliations

  1. Tourism Consultants Network, The Tourism Society, London, UK

    Azizul Hassan

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Singapore Pte Ltd.

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Jayawardena, C., Albattat, A., Jaharadak, A.A. (2022). Issues and Challenges in Technology Application in the Asian Tourism Industry. In: Hassan, A. (eds) Handbook of Technology Application in Tourism in Asia. Springer, Singapore. https://doi.org/10.1007/978-981-16-2210-6_51

Download citation

Publish with us

Policies and ethics

Search

Navigation