Determinant factors of customers’ purchase intention on the usage of travel shopping application
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Abstract
Nowadays, online reservations to fulfill traveling needs have been widely expanded. Existing travel applications have multiple offerings to maintain customers or grab potential buyers. Therefore, it is essential to identify determinant factors of customers’ purchase intention on online travel shopping application usage. This study applied the Technology Acceptance Model, Diffusion of Innovation Theory, and Theory of Planned Behavior as theoretical perspective guidance. There were 253 responses collected via an online survey. The data were analyzed using structural equation modeling (SEM). The result of this study showed that purchase intentions (PIN) were determined by communicability (CMB), attitude (ATD), and perceived behavioral control (PBC). Unlike PBC, which directly relates to PIN, brand awareness (BAW) did not contribute directly but was fully mediated by CMB. In addition to that, BAW did have a positive association with CMB. Meanwhile, ATD on the usage of travel apps was prevalently formed by perceived relative advantages (PRA) and perceived technological congruence (PTC). ATD also played a mediating role between PRA and PIN. However, it did not apply between PTC and PIN. These results may help the travel providers focus on strategies to generate the PIN.
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References
Ajzen, I. (1991). Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes.The theory of planned behavior. In Organizational Behavior and Human Decision Processes (Vol. 50, Issue 2).
Ali, F., Terrah, A., Wu, C., Ali, L., & Wu, H. (2021). Antecedents and consequences of user engagement in smartphone travel apps. Journal of Hospitality and Tourism Technology, 12(2). https://doi.org/10.1108/JHTT-09-2020-0221
Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46. https://doi.org/10.1016/j.tourman.2014.06.006
Aulia, D., & Briliana, V. (2017). Brand Equity Dimension and Consumer Behavior in Social Media. South East Asia Journal of Contemporary Business, Economics and Law, 13(2).
Azzari, V., & Pelissari, A. (2020). Does brand awareness influences purchase intention? The mediation role of brand equity dimensions. Brazilian Business Review, 17(6). https://doi.org/10.15728/BBR.2020.17.6.4
Bandura, A. (2010). Self-efficacy -Bandura. The Corsini Encyclopedia of Psychology.
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: lessons from tourism and hospitality. Journal of Service Management, 30(4). https://doi.org/10.1108/JOSM-12-2018-0398
Chen, L., Rashidin, M. S., Song, F., Wang, Y., Javed, S., & Wang, J. (2021). Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model. SAGE Open, 11(2). https://doi.org/10.1177/21582440211027875
Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: A multidimensional view. MIS Quarterly: Management Information Systems, 32(1). https://doi.org/10.2307/25148833
Christina, Y., & Yasa, N. N. K. (2021). Application of theory of planned behavior to study online booking behavior. International Journal of Data and Network Science, 5(3). https://doi.org/10.5267/j.ijdns.2021.5.010
Coves-MartÃnez, Ã. L., Sabiote-Ortiz, C. M., & FrÃas-Jamilena, D. M. (2022). Cultural intelligence as an antecedent of satisfaction with the travel app and with the tourism experience. Computers in Human Behavior, 127. https://doi.org/10.1016/j.chb.2021.107049
D.Aaker. (1991). Aaker’s Brand Equity Model. European Institute for Brand Management.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Deane, S. (2022). Over 60 Online Travel Booking Statistics (2022)No Title. Stratosjets Charters Inc.
Dorcic, J., Komsic, J., & Markovic, S. (2019). Mobile technologies and applications towards smart tourism – state of the art. In Tourism Review (Vol. 74, Issue 1). https://doi.org/10.1108/TR-07-2017-0121
Essiz, O., & Mandrik, C. (2022). Intergenerational influence on sustainable consumer attitudes and behaviors: Roles of family communication and peer influence in environmental consumer socialization. Psychology and Marketing, 39(1). https://doi.org/10.1002/mar.21540
Expedia. (2022). Traveler Value Index 2022 Outlook. Expedia Inc.
Fang, J., Li, J., & Wang, R. (2017). Mobile Travel Apps’ Adoption. https://doi.org/10.1145/3178212.3178213
Hair, J. F., Ortinau, D. J., & Harrison, D. L. (2021). Essentials of Marketing Research (Fifth Edit). McGraw-Hill Education.
He, M., Sha, Z., & Yang, Y. (2013). An Empirical Study on Impacts of Brand Image of Travel Agencies on Customer Purchase Intentions. https://doi.org/10.2991/icsem.2013.70
Hernández-Méndez, J., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2015). The influence of e-word-of-mouth on travel decision-making: consumer profiles. Current Issues in Tourism, 18(11). https://doi.org/10.1080/13683500.2013.802764
Hsu, C. L., & Lin, J. C. C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62. https://doi.org/10.1016/j.chb.2016.04.023
Huang, R. T. (2018). What motivates people to continuously post selfies? The moderating role of perceived relative advantage. Computers in Human Behavior, 80. https://doi.org/10.1016/j.chb.2017.11.007
Huang, Z., & Mou, J. (2021). Gender differences in user perception of usability and performance of online travel agency websites. Technology in Society, 66. https://doi.org/10.1016/j.techsoc.2021.101671
Jang, S., Kitchen, P. J., & Kim, J. (2018). The effects of gamified customer benefits and characteristics on behavioral engagement and purchase: Evidence from mobile exercise application uses. Journal of Business Research, 92, 250–259. https://doi.org/10.1016/j.jbusres.2018.07.056
Jiang, Y., Wang, X., & Yuen, K. F. (2021). Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation. Journal of Retailing and Consumer Services, 63. https://doi.org/10.1016/j.jretconser.2021.102720
K. Wallston. (2001). Control Beliefs: Health Perspectives. International Encyclopedia of the Social & Behavioral Sciences.
Keren, U. (2019). Why Travel Apps Are Letting Tourists Down and What Destinations Can Do to Reverse This Trend. Linkedin.
Kim, E. J., Tanford, S., & Book, L. A. (2021). The Effect of Priming and Customer Reviews on Sustainable Travel Behaviors. Journal of Travel Research, 60(1). https://doi.org/10.1177/0047287519894069
Krishnaprabha, S., & Tarunika, R. (2020). An Analysis on building Brand Awareness through Digital Marketing Initiatives. International Journal of Research in Engineering, Science and Management, 3(7).
Kuen Yi, Y., MartÃnez del Vas, G., & Muñoz, A. (2019). An integral mobile application for pre-travel, on-site and post-travel stages. International Journal of Information Systems and Tourism (IJIST), 4(1).
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3). https://doi.org/10.1016/S0378-7206(01)00143-4
Lemmetyinen, A., Dimitrovski, D., Nieminen, L., & Pohjola, T. (2016). Cruise destination brand awareness as a moderator in motivation-satisfaction relation. Tourism Review, 71(4). https://doi.org/10.1108/TR-07-2016-0027
Lim, X. J., Cheah, J. H., Morrison, A. M., Ng, S. I., & Wang, S. (2022). Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions. Tourism Review. https://doi.org/10.1108/TR-11-2021-0497
Lin, Y.-C., Li, C.-L., Hsiao, Y.-W., & Chen, Y.-C. (2019). Predicting How Trust on eWOM Influences Consumer Purchase Intentions toward Group Package Tours in Tourism Social Networks. International Journal of E-Education, e-Business, e-Management and e-Learning, 9(3), 160–176.
Merriam-Webster. (n.d.). Attitude. In Merriam-Webster.Com Dictionary.
Morrisonn, A. M., Jing, S., O’Leary, J. T., & Cai, L. A. (2012). Predicting Usage of the Internet for Travel Bookings: An Exploratory Study. Information Technology & Tourism, 4(1). https://doi.org/10.3727/109830501108750868
Mulyantina, P. (2019). The Influence of Online and Offline Strategic Marketing Communication to Purchase Intention of Singapore Airlines. CoverAge: Journal of Strategic Communication, 9(2). https://doi.org/10.35814/coverage.v9i2.1036
Rafdinal, W. (2021). Is smart tourism technology important in predicting visiting tourism destination? Lessons from West Java, Indonesia. Journal of Tourism Sustainability, 1(2). https://doi.org/10.35313/jtos.v1i2.20
Reynolds, N., & Ruiz de Maya, S. (2013). The impact of complexity and perceived difficulty on consumer revisit intentions. Journal of Marketing Management, 29(5–6). https://doi.org/10.1080/0267257X.2013.774290
Rizaty, M. A. (2022). Pengguna Aplikasi Traveling di Dunia Capai 93 Juta Orang pada 2021. Databoks.
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019). Diffusion of innovations. In An Integrated Approach to Communication Theory and Research, Third Edition. https://doi.org/10.4324/9780203710753-35
Sriwardiningsih, E., & Zulkarnain, A. (2021). Global Brand influences Brand Awareness, Intention, and impacts on Hotel Service Purchases. Proceedings of the International Conference on Industrial Engineering and Operations Management.
Statista. (2022a). Leading reasons for making a domestic trip in Indonesia in 2020. Statista Research Department.
Statista. (2022b). Travel & Tourism. Statista.
Tian, Z., Lu, M., & Cheng, Q. (2021). The relationships among mobile travel application attributes, customer engagement, and brand equity. Social Behavior and Personality, 49(7). https://doi.org/10.2224/sbp.10353
Tornikoski, E., & Maalaoui, A. (2019). Critical reflections – The Theory of Planned Behaviour: An interview with Icek Ajzen with implications for entrepreneurship research. International Small Business Journal: Researching Entrepreneurship, 37(5). https://doi.org/10.1177/0266242619829681
Ulker-Demirel, E., & Ciftci, G. (2020). A systematic literature review of the theory of planned behavior in tourism, leisure and hospitality management research. Journal of Hospitality and Tourism Management, 43. https://doi.org/10.1016/j.jhtm.2020.04.003
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2). https://doi.org/10.1016/j.ausmj.2020.01.002
Wang, W. (2019). The influence of perceived technological congruence of smartphone application and air travel experience on consumers’ attitudes toward price change and adoption. Journal of Hospitality and Tourism Technology, 10(2), 123. https://doi.org/10.1108/JHTT-01-2018-0004
Wang, W. T., & Li, H. M. (2012). Factors influencing mobile services adoption: A brand-equity perspective. Internet Research, 22(2). https://doi.org/10.1108/10662241211214548