DIMENSION MANIFESTATION OF USERS’ PSYCHOGRAPHIC TRAITS TOWARDS ONLINE TRAVEL AGENCY
Keywords:
Technology readiness, Online travel agencies, Exploratory factor analysisAbstract
The purpose of this study is to assess the determinants of psychological traits towards users’ technology experience specifically on Online Travel Agencies (OTA) via exploratory factor analysis (EFA). Working on these issues and after sequences of analyses to verify reliability and factor structure, the final 16 items of Technology Readiness 2.0 (TR2.0) with 4 items for each dimension (Optimism, Innovativeness, Discomfort, and Insecurity) have been congregated. Through an online survey, the technology readiness determinants were administered to 100 travelers at KLIA2 who have experienced on OTA. EFA using Principal Component Analysis with Varimax Rotation indicated 14 items, with 4 factors final solution with the following subscales: Innovativeness (4 items); Optimism (4 items); Discomfort (3 items); and Insecurities (3 items). All in all, only two items were removed from the original total of 16 items by the factor analysis based on the factor loading matrix for this final solution. This study basically plays an important role in contributing to the existing literature on the OTA users’ standpoint by using an approach which is very powerful to redefine the factors within Technology Readiness. This enhancement has reorganized the items according to their importance specifically towards new perspective which are OTA users in Malaysia setting.
References
Azdel, A. A., Awang, K. W., Yusof, R. N. R., Radzi, S. M., & Ahmad, N. A. (2018). Customers’ psychographic valuation and acceptance towards online travel agencies. International Journal of Academic Research in Business and Social Sciences, 8(16), 231–246.
Azdel, A. A., Khalid, H., Radzi, S. M., & Yusof, R. N. R. (2016). Embedding psychographic traits into UTAUT2: A conceptual paper on online travel agency (OTA) users. In Heritage, Culture, and Society: Research agenda and best practices in the hospitality and tourism industry. Proceedings of the 3rd International Hospitality and Tourism Conference, IHTC 2016 and 2nd International Seminar on Tourism, ISOT 2016 (pp. 489-494).
Baltas, G. (2003). A combined segmentation and demand model for store brands. European Journal of Marketing, 37(10), 1499-1513.
Baumgartner, H. (2002). Toward a personology of the consumer. Journal of Consumer Research, 29(2), 286-292.
Blaikie, N. (2003). Analyzing quantitative data: From description to explanation. Sage
Cudeck, R. (2000). Exploratory factor analysis. In H. E. A. Tinsley and S. D. Brown (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 265-296). San Diego, California: Academic Press.
Curran, J. M., Meuter, M. L., & Surprenant, C. F. (2003). Intentions to use self-service technologies: a confluence of multiple attitudes. Journal of service research, 5(3), 209-224.
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.
Elliott, K. M., Meng, J., & Hall, M. C. (2008). Technology readiness and the likelihood to use self-service technology: Chinese vs. American consumers. Marketing Management Journal, 18(2), 20-31.
Eriksson, N. (2013). Drivers and barriers of mobile travel and tourism service adoption: a study of individual perceptions and business model development in a travel and tourism context. (Doctoral dissertation, Abo Akademi University). Retrieved from https://www.doria.fi/bitstream/handle/10024/92187/eriksson_niklas.pdf?sequence=2
Field, A. (2000). Discovering Statistics Using SPSS for Windows. Sage Publications.
Kwon, H. S., & Chidambaram, L. (2000). A test of the technology acceptance model: The case of cellular telephone adoption. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (pp. 7-16).
Lam, S. Y., Chiang, J., & Parasuraman, A. (2008). The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis. Journal of interactive marketing, 22(4), 19-39.
Lanseng, E. J., & Andreassen, T. W. (2007). Electronic healthcare: a study of people's readiness and attitude toward performing self-diagnosis. International Journal of Service Sector Management, 18(4), 394-417.
Lee, W., Castellanos, C., & Chris Choi, H.S. (2012). The Effect of Technology Readiness on Customers' Attitudes toward Self-Service Technology and Its Adoption; The Empirical Study of US Airline Self-Service Check-In Kiosks. Journal of Travel and Tourism Marketing, 29(8), 731-743.
Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral. Tourism Management, 36, 321-330.
Malaysian Communications and Multimedia Commissions (2016). Internet users survey 2016. Retrieved from http://www.skmm.gov.my/skmmgovmy/media/General/pdf/IUS2016.pdf
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906.
Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64.
Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(2), 123-143.
Mukherjee, A., & Hoyer, W. D. (2001). The effect of novel attributes on product evaluation. Journal of Consumer Research, 28(3), 462-472.
Muthaly, S., Ha, H.-Y., Yeo, J. P., & Kim, N.-Y. (2009). Effects on direct-to-consumer advertising of prescription drugs in Singapore: The moderating role of low credibility. International Area Review, 12(2), 215-229.
Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320.
Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of service research, 18(1), 59-74.
Piercy, N. (2012). Positive and negative cross-channel shopping behavior. Marketing Intelligence and Planning, 30(1), 83-104.
Prud’homme, B., & Raymond, L. (2013). Sustainable development practices in the hospitality sector: An empirical study of their impact on customer satisfaction and intentions. International Journal of Hospitality Management, 34, 116-126.
Rietveld, T., & Van Hout, R. (1993). Statistical Techniques for the Study of Language and Language Behaviour. Berlin: Walter de Gruyter.
Schawbel, D. (2015). 10 New finding about the millennial consumer. Forbes.com. Retrieved from http://www.forbes.com/sites/danschawbel/2015/01/20/10-new-findings-about-the-millennial-consumer/#3bf58f2528a8
Sohrabi, B., Vanani, I. R., Tahmasebipur, K., & Fazli, S. (2012). An exploratory analysis of hotel selection factors: A comprehensive survey of Tehran hotels. International Journal of Hospitality Management, 31(1), 96-106.
Sophonthummapharn, K., & Tesar, G. (2007). Technology readiness and propensity of cell phone users to subscribe to commercial messaging services. Marketing Management Journal, 17(2), 81-95.
Statista (2016). Online travel booking. Retrieved from https://www.statista.com/outlook/262/100/online-travel-booking/worldwide#takeaway
Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of educational research, 79(2), 625-649.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. DC, United States: American Psychological Association.
Tsikriktsis, N. (2004). A technology readiness-based taxonomy of customers a replication and extension. Journal of service research, 7(1), 42-52.
Vazquez, D., & Xu, X. (2009). Investigating linkages between online purchase behavior variables. International Journal of Retail and Distribution Management, 37(5), 408-419.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Victorino, L., Karniouchina, E., & Verma, R. (2009). Exploring the use of the abbreviated technology readiness index for hotel customer segmentation. Cornell Hospitality Quarterly, 50(3), 342-359.
Yavas, U., & Babakus, E. (2005). Dimensions of hotel choice criteria: congruence between business and leisure travelers. International Journal of Hospitality Management, 24(3), 359-367.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 Journal of Academia

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.