Influence of travel application usage on tourist online shopping appraisal
Vol 8, Issue 7, 2024
VIEWS - 302 (Abstract) 118 (PDF)
Abstract
This paper delves into the analysis of the physical flow patterns of users and its subsequent influence on their purchasing behavior. The research methodology encompassed surveying a substantial sample size of 400 users actively engaged with travel applications. The gathered data underwent meticulous analysis employing a combination of descriptive statistics and structural equation modeling techniques. The findings from this study have unveiled noteworthy insights into user behavior within travel applications. It is evident that the inclination to engage with the system has a substantial and positive impact on users’ purchase intentions. Moreover, the motivation behind users’ system usage has a direct bearing on their purchase intentions, primarily mediated by the enjoyment derived from the overall experience. This research underscores the pivotal role played by travel applications in the contemporary travel industry landscape. As travelers increasingly rely on digital platforms to plan their trips and make informed choices, understanding the intricate dynamics of user engagement, motivation, and subsequent purchasing decisions within these applications is paramount. This deeper comprehension not only sheds light on consumer behavior but also empowers businesses to tailor their offerings and enhance user experiences, thereby solidifying the indispensable position of travel applications in the ever-evolving travel sector.
Keywords
Full Text:
PDFReferences
Alaimo, C., Kallinikos, J., & Valderrama-Venegas, E. (2020). Platform evolution: A study of tripAdvisor. Paper presented at the Proceedings of the 53rd Hawaii International Conference on System Sciences.
An, S., Choi, Y., & Lee, C. K. (2021). Virtual travel experience and destination marketing: Effects of sense and information quality on flow and visit intention. Journal of Destination Marketing Management, 19, 100492. https://doi.org/10.1016/j.jdmm.2020.100492
Branch, J. (2020). The influence of traveler reviews on mobile applications on travel decision-making to Dubai. Journal of Theoretical Applied Information Technology, 98(15).
Cao, L., Xie, D., & Qu, Y. (2023). A process perspective on experience co-creation: How pre-trip involvement prompts destination loyalty. Tourism Management, 96, 104711. https://doi.org/10.1016/j.tourman.2022.104711
Chang, K. C., Cheng, Y. S., Kuo, N. T., et al. (2023). Impacts of Tourists’ Shopping Destination Trust on Post-Visit Behaviors: A Loss Aversion Perspective. International Journal of Hospitality & Tourism Administration, 1-40. https://doi.org/10.1080/15256480.2023.2241030
Choi, K., Wang, Y., & Sparks, B. J. J. o. T. (2019). Travel app users’ continued use intentions: it’s a matter of value and trust. Journal of Travel Tourism Marketing, 36(1), 131-143. https://doi.org/10.1080/10548408.2018.1505580
Cuevas, L., Lyu, J., & Lim, H. (2021). Flow matters: antecedents and outcomes of flow experience in social search on Instagram. Journal of Research in Interactive Marketing, 15(1), 49-67. https://doi.org/10.1108/JRIM-03-2019-0041.
Dharmesti, M., Dharmesti, T. R. S., Kuhne, S., & Thaichon, P. J. Y. C. (2021). Understanding online shopping behaviours and purchase intentions amongst millennials. Young Consumers, 22(1), 152-167. https://doi.org/10.1108/YC-12-2018-0922
Dwidienawati, D., Tjahjana, D., Abdinagoro, S. B., & Gandasari, D. (2020). Customer review or influencer endorsement: which one influences purchase intention more? Heliyon, 6(11). https://doi.org/10.1016/j.heliyon.2020.e05543
Gajić, T., Đoković, F., Blešić, I., et al. (2023). Pandemic Boosts Prospects for Recovery of Rural Tourism in Serbia. Land, 12(3), 624. https://doi.org/10.3390/land12030624
Gajić, T., Minasyan, L. A., Petrović, M. D., et al. (2023). Travelers’(in) Resilience to Environmental Risks Emphasized in the Media and Their Redirecting to Medical Destinations: Enhancing Sustainability. Sustainability, 15(21), 15297. https://doi.org/10.3390/su152115297
Goo, J., Huang, C. D., Yoo, C. W., & Koo, C. (2022). Smart tourism technologies’ ambidexterity: balancing tourist’s worries and novelty seeking for travel satisfaction. Information Systems Frontiers, 24(6), 2139-2158. https://doi.org/10.3390/ijerph17186485
Han, H., Al-Ansi, A., Chua, B. L., et al. (2020). The post-coronavirus world in the international tourism industry: Application of the theory of planned behavior to safer destination choices in the case of US outbound tourism. International Journal of Environmental Research Public Health, 17(18), 6485. https://doi.org/10.3390/ijerph17186485
Ho, R. C., Amin, M., Ryu, K., & Ali, F. (2021). Integrative model for the adoption of tour itineraries from smart travel apps. Journal of Hospitality Tourism Technology, 12(2), 372-388. https://doi.org/10.1108/JHTT-09-2019-0112
Kang, S., Jodice, L. W., & Norman, W. C. T. r. r. (2020). How do tourists search for tourism information via smartphone before and during their trip? Tourism recreation research, 45(1), 57-68. https://doi.org/10.1080/02508281.2019.1627076
La, J., Bil, C., Heiets, I., & Lau, K. A. (2022). Door-to-door travel planner for improved traveler experience using digital twin concept. Paper presented at the Proceedings of the 33th Congress of the International Council of the Aeronautical Sciences.
Lin, X., Wang, X., & Hajli, N. (2019). Building e-commerce satisfaction and boosting sales: The role of social commerce trust and its antecedents. International Journal of Electronic Commerce, 23(3), 328-363. https://doi.org/10.1080/10864415.2019.1619907
Mariani, M., & Borghi, M. (2021). Are environmental-related online reviews more helpful? A big data analytics approach. International Journal of Contemporary Hospitality Management, 33(6), 2065-2090. https://doi.org/10.1108/IJCHM-06-2020-0548
Nitu, P., Coelho, J., & Madiraju, P. J. B. D. M. (2021). Improvising personalized travel recommendation system with recency effects. Big Data Mining Analytics, 4(3), 139-154. https://doi.org/10.26599/BDMA.2020.9020026
Petrović, M. D., Milovanović, I., Gajić, T., et al. (2023). The Degree of Environmental Risk and Attractiveness as a Criterion for Visiting a Tourist Destination. Sustainability, 15(19), 14215. https://doi.org/10.3390/su151914215
Purohit, S., Arora, R., Nunkoo, R., et al. (2023). Airbnb experiences: Travelers’ purchase behavior and word-of-mouth. Journal of Travel Research, 62(7), 1569-1587. https://doi.org/10.1177/00472875221127679.
Setiawan, R., Rani, K., Cavaliere, L. P. L., et al. (2020). References for Shopping Online Versus in Stores What Do Customers Prefer and How Do Offline Retailers Cope with It? Petra Christian University.
Song, B. L., Liew, C. Y., Sia, J. Y., & Gopal, K. J. Y. C. (2021). Electronic word-of-mouth in travel social networking sites and young consumers’ purchase intentions: an extended information adoption model. Young Consumers, 22(4), 521-538. https://doi.org/10.1108/YC-03-2021-1288.
Srinivaasan, G., & Kabia, S. K. (2020). Role of Smartphones in Destination Promotion and Its Impact on Travel Experience. International Journal of Hospitality Tourism Systems, 13(1).
Tavitiyaman, P., Qu, H., Tsang, W.-s. L., & Lam, C.-w. R. (2021). The influence of smart tourism applications on perceived destination image and behavioral intention: The moderating role of information search behavior. Journal of Hospitality Tourism Management, 46, 476-487. https://doi.org/10.1016/j.jhtm.2021.02.003
Toubes, D. R., Araújo Vila, N., & Fraiz Brea, J. A. (2021). Changes in consumption patterns and tourist promotion after the COVID-19 pandemic. Journal of Theoretical Applied Electronic Commerce Research, 16(5), 1332-1352. https://doi.org/10.3390/jtaer16050075
Tsai, C. F., Chen, K., Hu, Y. H., & Chen, W. K. (2020). Improving text summarization of online hotel reviews with review helpfulness and sentiment. Tourism Management, 80, 104122. https://doi.org/10.1016/j.tourman.2020.104122.
Tuncer, I. (2021). The relationship between IT affordance, flow experience, trust, and social commerce intention: An exploration using the SOR paradigm. Technology in Society, 65, 101567. https://doi.org/10.1016/j.techsoc.2021.101567
Yousaf, A., Mishra, A., Taheri, B., et al. (2021). A cross-country analysis of the determinants of customer recommendation intentions for over-the-top (OTT) platforms. Information & Management, 58(8), 103543. https://doi.org/10.1016/j.im.2021.103543.
Zhang, S. N., Li, Y. Q., Liu, C. H., & Ruan, W. Q. (2019). How does authenticity enhance flow experience through perceived value and involvement: the moderating roles of innovation and cultural identity. Journal of Travel Tourism Marketing, 36(6), 710-728. https://doi.org/10.1080/10548408.2019.1625846
Zhu, L., Li, H., Wang, F. K., et al. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework. Aslib Journal of Information Management, 72(4), 463-488. https://doi.org/10.1108/AJIM-11-2019-0308
DOI: https://doi.org/10.24294/jipd.v8i7.4622
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Sureerut Inmor, Athanasios Podaras, Naruemon Jituea, Sukontip Wongpun
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.