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ISSN : 1738-3110
A Study on the Behavior of the User according to the Distribution Development of Online Travel Agency
LEE, Sun-Mi
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Abstract
Purpose:Travel agencies have use digital tools in order to shift the paradigm in how business is conducted. Online travel agencies provide the same services as a normal travel agency, including hotels, transportation, guided tours, reservations, and related services, but using an "online platform. Travelers planning a trip can use a lot of forms to collect information and have access to a larger amount of information, so the factors that influence the user's behavioral intention are very important. This research has the conducted to find what factors lead to the attitudes of consumers in using OTA using the UTAUT model. Research design, data and methodology: The object of this study were respondents of a google survey using convenient sample extraction method, chosen among consumers who gathered information, or purchased a product. A total of 217 of the 235 questionnaires Google survey answered were used in the final analysis, excluding insincere responses. Using PSS v.21 and AMOS v.21, frequency analysis, feasibility and reliability analysis, path analysis was performed. Results: UTAUT affects OTA use satisfaction and trust, and OTA satisfaction and trust affect behavior intention. Conclusions: Research was conducted using the UTAUT model to explore factors that affect the attitudes of users of online travel agencies (OTA).
- keywords
- Online Travel Agencies (OTA), UTAUT, Satisfaction, Trust
Reference
Al-dweeri, R. M., Obeidat, Z. M., Al-dwiry, M. A., Alshurideh, M. T., & Alhorani, A. M. (2017). The impact of e-service quality and e-loyalty on online shopping: moderating effect of esatisfaction and e-trust, International Journal of Marketing Studies, 9(2), 92-103.
Alharbi, S. (2017). An empirical investigation on the impact of trust mediated determinants and moderating factors on the adoption of cloud computing. International Journal of Information Technology and Computer Science, 9(11), 12-22.
An, M. A., Kim, S. H., & Hong, S. J. (2019). Does the Omnichannel Will Serve to Strengthen the Relationship Quality? The Effect of the Relationship Quality on Customers' Continued Intention. Journal of Product Research, 37(3), 83-94.
Aurier, P., & de Lanauze, G. S. (2012). Impacts of perceived brand relationship orientation on attitudinal loyalty. European Journal of Marketing, 46(11-12), 1602-1627.
Carme, M. C., Júlia, P. V., Marta, M. M., Frederic, M. (2018). Behavioral Profiles of Consumers of Online Travel Agencies. International Journal for Quality Research, 12(3), 703-722.
Chang, Y. W., Hsu, P. Y., Yang, Q. M. (2018). Integration of online and offline channels: a view of O2O commerce. Internet Research, 28(4), 926-945.
Chen, R., Wang, L., & Hwang, Y. H. (2020). Trust on On-line Travel Agency: Effects of Antecedents of Trust Between Initial and Mature Trust Group. Journal of Tourism and Leisure Research, 32(1), 199-215.
Choi, D. R., & Yu, J. H. (2017). Effects of cognitive factors on brand attitude and behavioral intention across different fashion pop-up store formats. The Research Journal of the Costume Culture, 25(5), 543-560.
Choi, Y. K., Chu, K. H., Choi, E. J. (2019). Social Network Services Addiction in the Workplace. Journal of Asian Finance, Economics and Business, 6(1), 249-259.
Chun, C. S., & Kwak, D. Y. (2016). The Effect of SNS Tourism Information Service Quality on the Intension of Reuse: with a Focus on the Moderating Effect of Reliability and Interaction. International Journal of Software Engineering and Its Applications, 10(10), 177-188.
Chun, Y. T., & Lee, J. E. (2013). The Influence of Experience factor, Relational Quality & Recommendation Intention. Tourism Research, 38(2), 209-224.
Chung, C. H., Koo, C. M., & Chung, N. H. (2017), Examining the Adoption of Exhibition NFC Service Using UTAUT & Trust. International Journal of Tourism Management and Sciences, 32(2), 1-22.
Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users' home telehealth services acceptance behavior—applying an Extended UTAUT model. International journal of medical informatics, 90(1), 22-31.
Cody-Allen, E. R., & Kishore, R. (2006). An extension of the UTAUT model with e-quality, trust, and satisfaction constructs. Conference on Computer Personnel Research, 6(4), 82–89.
Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy:Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-221.
Coo, B. M. (2017). A Study on Trucker Recognition in Korean Cargo Distribution O2O Business Model. Journal of Distribution Science, 15(2), 79-90.
Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: an interpersonal influence perspective. Journal of Marketing, 54(3), 68-81.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use and Use Acceptance of Information Technology. MIS Quarterly, 13(3), 319-339.
Davis, F. D., Bagozi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Aplied Social Psychology, 2(14), 111-132.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(1), 382-388.
Gu, Z., Xu, F., & Wei, J. (2015). Empirical study on factors influencing consumers’ initial trust in wearable commerce. The Journal of Computer Information Systems, 56(1), 79-85.
Hair, J. F., Hult, G. T. M., Ringle, C. M. & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publication research, 18(1), 382-388.
Hsu, C. L., Chen, M. C., & Kumar, V. (2018). How social shopping retains customers? Capturing the essence of website quality and relationship quality. Total quality management &business excellence, 29(1-2), 161-184.
Hwang, H. J., & Lee, S. M. (2011). A study on transferring the effects of brand reputation and level of service satisfaction of an offline channel company when it is expanding to an online distribution channel. Journal of Distribution Science, 9(2), 31-36.
Joo, Y. J., & Kim, D. S. (2017). A Study of Satisfaction and Intention to Use MOOC Based on UTAUT2 in Korea. Journal of Lifelong Learning Society, 13(1), 185-207.
Kang, S. H., & Kim, H. K. (2016). A Study on the User's Acceptance and Use of Easy Payment Service - Focused on the Moderating Effect of Innovation Resistance. Management Information Systems review, 35(2), 167-183.
Kim, J. K. (2019). The usability of a mobile hotel reservation (MHR) channel and its impact on relationship quality and behavioral intentions. International Journal of Tourism and Hospitality Research, 33(6), 19-33.
Kim, S. H., & Yoo, B. K. (2020). Factors Influencing the Reuse of Mobile Payment Services in Retail. Journal of Distribution Science, 18(3), 53-65.
Kuan, H. H., & Bock, G. W.(2007). Trust transference in brick and click retailers: An investigation of the before-online-visit phase. Information and Management, 44(2), 175-187.
Lee M. C. (2009). Factors influencing the adoption of Internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research &Applications, 8(3), 130-141.
Lee, S. M. (2011). According to the CRS technology expand capacity Focusing on the relationship between airlines and travel agencies. The e-Business Studies, 12(1), 115-141.
Lee, S. S., & Lee, J. E. (2020). The Effects of Service Fairness on Revisit Intention: Multiple Mediation of Perceived Quality and Relationship Quality. Journal of Product Research, 38(1), 69-80.
Lee, Y. T. (2015). Tourism Science. Seoul, Korea: BEAKSAN PRESS.
Ling, X. N., & Lee, J. H. (2018). The Intention of Repurchase on e-Service Quality by Online Travel Agency Site. International Journal of Industrial Distribution & Business, 9(7), 61-70.
Miniard, P. W., & Cohen, J. B. (1983). Modeling Personal and Normative Influences on Behavior. Journal of Consumer Research, 10(2), 169-180.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Inform Systems Res, 2(3), 192-222.
Morgan, R., & Hunt, S. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58(July), 20-38.
Nguyen, H. M., & Khao, B. T. (2019). The Relationship between the Perceived Mental Benefits, Online Trust, and Personal Information Disclosure in Online Shopping. Journal of Asian Finance, Economics, Business, 6(4), 261-270.
Nunally, J. C. (1978), Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
Park, I. S., & Ahn, H. C. (2012). A Study on the User Acceptance Model of Mobile Credit Card Service based on UTAUT. The e-Business Studies, 13(3), 551-574.
Park, H. J., Park, J. H., Lee, J. S., Kim, Y. H., Oh, A. S., & Park, B. G. (2017). Analyzing the Relationship among Tourism Omnichannel Selecting Factor, Satisfaction and Purchasing Intention on the Tourism Purchasing Stage. Journal of Digital Convergence, 15(10), 173-182.
Sharef, M. A., Babdulah, A., Duta, S., Kumar, V., & Dwivedi, Y. K. (2018). Consumer Adoption of Mobile Banking Services: An Empirical Examination of Factors according to Adoption Stages. Journal of Retailing and Consumer Services, 43(1), 54-67.
Song, B. C., & Kim, W. M. (2018). How the Technological Acceptance Factors influence the User's Acceptance and Behavioral Intentions using the Unified Technology Theory of Acceptance - Case of Korean Medical Device Products. Asia Pacific Journal of Information Systems, 54(2), 49-62.
Song, S. O. (2017). A Study on User Acceptance Model of uTradeHub Service Based on Unified Theory of Acceptance and Use of Technology. Korea Academy Industrial Cooperation Society, 18(8), 181-189.
Taylor, S., & Tod, P. (1995). Understanding Information Technology Usage: A Test of Computing Models. Information Systems Research, 6(2), 14-17.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125-143.
Venkatesh, V., Moris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y. L., & 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.
Vesel, P., & Zabkar, V. (2010). Comprehension of Relationship Quality in the Retail Environment. Managing Service Quality, 20(3), 213-235.
Woo, J. P. (2012). Concepts and Understanding of Structural Equation Model. Seoul, Korea: HANNARAE.
Wu. R., & Lee, J. H. (2017). The Use Intention of Mobile Travel Apps by Korea-Visiting Chinese Tourists. Journal of Distribution Science, 15(5), 53-64.
Wu, R., & Lee, J. H. (2017). The Comparative Study on Third Party Mobile Payment Between UTAUT2 and TTF. Distribution Science, 15(11), 5-19.
Yang, C. Y. (2018). A Comparative Study on Travelers’ Online Travel Agency(OTA) selection attributes and revisit selection attributes. Management Information Systems review, 37(4), 175-193.
Yang, S. H., Hwang, Y. S., & Park, J. I. (2016). A Study on the Use of Fintech Payment Services Based on the UTAUT Model. Journal of Vocational Rehabilitation, 38(1), 183-209.
Zhou, T. (2013). An Empirical Examination of Continuance Intention of Mobile Payment Services. Decision Support Systems, 54(2), 1085-1091.
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