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Assessment of Perceived Risk in Mobile Travel Booking

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Information and Communication Technologies in Tourism 2016

Abstract

Considering the increasing prevalence of smartphones in travel experiences, a relatively low level of mobile booking for travel products suggests the importance of understanding the perceived risk that inhibits mobile consumption behaviours among travellers. Based on responses from an online panel, this study identified the multidimensional facets of perceived risk associated with mobile travel booking, which include time risk, financial risk, performance risk, security risk, psychological risk, physical risk, and device risk. Further, it was identified that there are antecedents that contribute positively (i.e., collection of personal information) and negatively (i.e., consumer innovativeness, trust, and visibility) to perceived risk. Finally, this research estimated the effects of perceived risk on behavioural outcomes, including perceived usefulness, attitudes, and booking intentions. Implications to alleviate or reduce perceived risks are provided.

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References

  • Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53–75.

    Article  Google Scholar 

  • Aloudat, A., Michael, K., Chen, X., & Al-Debei, M. M. (2014). Social acceptance of location-based mobile government services for emergency management. Telematics and Informatics, 31, 153–171.

    Article  Google Scholar 

  • Anuar, F. I., & Gretzel, U. (2013). Privacy concerns in the context of location-based services for tourism. e-Review of Tourism Research, 2013.

    Google Scholar 

  • Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and internet shopping behavior. Communications of the ACM, 11, 98–105.

    Article  Google Scholar 

  • Brislin, R. (1986). The wording and translation of research instruments. In W. Lonne & J. Berry (Eds.), Field methods in cross-cultural research. Newbury Park, CA: Sage.

    Google Scholar 

  • Bromiley, P., & Curley, S. P. (1992). Individual differences in risk taking. In F. F. Yates (Ed.), Risk taking behavior (pp. 87–132). Chichester, UK: Wiley.

    Google Scholar 

  • Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention. Online Information Review, 32(6), 818–841.

    Article  Google Scholar 

  • Cheung, C., & Lee, M. K. O. (2000). Trust in internet shopping: a proposed model and measurement instrument. In Proceedings of the 6 th Americas Conference on Information Systems (pp. 681–689).

    Google Scholar 

  • China Internet Watch (2015). More Chinese Travelers Active on Mobile than PC. http://www.chinainternetwatch.com/15053/mobile-tourism-apps-users-pc/

  • Conchar, M. P., Zinkhan, G. M., Peters, C., & Olavarrieta, S. (2004). An integrated framework for the conceptualization of consumers’ perceived-risk processing. Journal of the Academy of Marketing Science, 32(4), 418–436.

    Article  Google Scholar 

  • Crespo, A. H., del Bosque, I. R., & de los Salmones, M. M. G. (2009). The influence of perceived risk on internet shopping behavior: A multidimensional perspective. Journal of Risk Research, 12(2), 259–277.

    Article  Google Scholar 

  • Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357–372.

    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 

  • Deutch, M. (1960). Trust, trustworthiness and the F scale. Journal of Abnormal and Social Psychology, 61(1), 138–140.

    Article  Google Scholar 

  • Dholakia, U. M. (2001). A motivational process model of product involvement and consumer risk perception. European Journal of Marketing, 35(11/12), 1340–1362.

    Article  Google Scholar 

  • Donthu, N., & Garcia, A. (1999). The Internet shopper. Journal of Advertising Research, 39(3), 52–58.

    Google Scholar 

  • Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21, 119–134.

    Article  Google Scholar 

  • eRevMax (2014). eRevMax shares key insights on Chinese Travel Industry. http://www.erevmax.com/ratetiger-news/infographic-chinese-travel-industry.html

  • Expedia Media Solution. (2014). The mobilized travel consumer—Insights to optimize your mobile strategy. White Paper.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.

    Google Scholar 

  • Gefen, D., Rao, V. S., & Tractinsky, N. (2003). The conceptualization of trust, risk, and their relationship in electronic commerce: The need for clarifications. In Proceedings of the 36th Hawaii International Conference on Systems Sciences (HICSS) 2003.

    Google Scholar 

  • Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: implications for high technology product adoption. Journal of Consumer Marketing, 23(4), 182–198.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. In M. Venkatesan (Ed.), Proceedings of the Third Annual Conference of the Association for Consumer Research (pp. 382–393). Chicago, IL: Association for Consumer Research.

    Google Scholar 

  • Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59–88.

    Article  Google Scholar 

  • Jarvenpaa, S. L., & Tractinsky, N. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer Mediated Communication, 5(2), 1–35.

    Google Scholar 

  • Jarvenpaa, S. L., Tractisnky, N., Saarinen, M., & Vitale, M. (1999). Consumer trust in an internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 0.

    Article  Google Scholar 

  • Junglas, I., & Spitzmuller, C. (2005). A research model for studying privacy concerns pertaining to location-based services. In Proceedings of HICSS’05, Hawaii, January 2005, (pp. 3–6).

    Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

    Article  Google Scholar 

  • Kim, M.-K., Chang, Y., Wong, S. F., & Park, M.-C. (2013). The effect of perceived risks and switching barriers on the intention to use smartphones among non-adopters in Korea. Information Development. doi:10.1177/0266666913513279.

    Google Scholar 

  • Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544–564.

    Article  Google Scholar 

  • Kim, L. H., Kim, D. J., & Leong, J. K. (2005). The effect of perceived risk on purchase intention in purchasing airline tickets online. Journal of Hospitality & Leisure Marketing, 13(2), 33–53.

    Article  Google Scholar 

  • Kline, R. B. (2010). Principles and practice of structural equation modeling. New York: Guilford Press.

    Google Scholar 

  • Kuhlmeier, D., & Knight, G. (2005). Antecedents to internet-based purchasing: A multinational study. International Marketing Review, 22(4), 460–473.

    Article  Google Scholar 

  • Lee, M. S. Y., McGoldrick, P. J., Keeling, K. A., & Doherty, J. (2003). Using ZMET to explore barriers to the adoption of 3G mobile banking services. International Journal of Retail & Distribution Management, 31(6), 340–348.

    Article  Google Scholar 

  • Leung, L., & Wei, R. (1999). Who are the mobile phone have-nots? Influences and consequences. New Media & Society, 1(2), 209–226.

    Article  Google Scholar 

  • Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2, 216–228.

    Article  Google Scholar 

  • Lu, H.-P., Hsu, C.-L., & Hsu, H.-Y. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120.

    Article  Google Scholar 

  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decision Support Systems, 46, 222–234.

    Article  Google Scholar 

  • Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734.

    Google Scholar 

  • Mitchell, V. W. (1999). Consumer perceived risk: Conceptualisations and models. European Journal of Marketing, 33(1/2), 163–195.

    Article  Google Scholar 

  • Mitchell, V. W., & Vassos, V. (1998). Perceived risk and risk reduction in holiday purchases: A cross-cultural and gender analysis. Journal of Euromarketing, 6(3), 47–79.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Neuhofer, B., Buhalis, D., & Ladkin, A. (2014). A typology of technology-enhanced tourism experiences. International Journal of Tourism Research, 16, 340–350.

    Article  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903.

    Article  Google Scholar 

  • Ratnasingham, P. (1998). The importance of trust in electronic commerce. Internet Research, 8(4), 313–321.

    Article  Google Scholar 

  • Roehl, W., & Fesenmaier, D. (1992). Risk perceptions and pleasure travel: An exploratory analysis. Journal of Travel Research, 30(4), 17–26.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusions of innovation. New York: The Free Press.

    Google Scholar 

  • Sitkin, S. B., & Pablo, A. L. (1992). Reconceptualizing the determinants of risk behavior. Academy of Management Review, 17(1), 9–38.

    Google Scholar 

  • Sonmez, S. F., & Graefe, A. R. (1998). Determining future travel behavior from past travel experience and perceptions of risk and safety. Journal of Travel Research, 37, 171–177.

    Article  Google Scholar 

  • van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12, 41–48.

    Article  Google Scholar 

  • Vishwanath, A., & Goldhaber, G. M. (2003). An examination of the factors contributing to adoption decisions among late-diffused technology products. New Media & Society, 5(4), 547–572.

    Article  Google Scholar 

  • Wang, D., Park, S., & Fesenmaier, D. R. (2012). The role of smartphones in mediating the touristic experience. Journal of Travel Research, 51(4), 371–387.

    Article  Google Scholar 

  • Yang, Y., & Zhang, J. (2009). Discussion on the dimensions of consumers’ perceived risk in mobile service. The Proceeding of 2009 Eighth International Conference on Mobile Business. Washington, DC: IEEE Computer Society, 261–266.

    Google Scholar 

  • Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations. New York: Wiley.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Hospitality and Tourism Management, University of Surrey, Guildford, Surrey, UK

    Sangwon Park & Yuting Zhang

  2. School of Hospitality Business Management, Washington State University, Pullman, WA, USA

    Iis P. Tussyadiah

Authors
  1. Sangwon Park
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  2. Iis P. Tussyadiah
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  3. Yuting Zhang
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Correspondence to Sangwon Park .

Editor information

Editors and Affiliations

  1. School of Tourism, Bournemouth University, Poole, Dorset, United Kingdom

    Alessandro Inversini

  2. HES-SO Valais, Sierre, Valais, Switzerland

    Roland Schegg

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Park, S., Tussyadiah, I.P., Zhang, Y. (2016). Assessment of Perceived Risk in Mobile Travel Booking. In: Inversini, A., Schegg, R. (eds) Information and Communication Technologies in Tourism 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-28231-2_34

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