Nâng cao ý định tiếp tục sử dụng Apps du lịch của đại lý du lịch trực tuyến - công cụ góp phần khôi phục du lịch sau COVID-19
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Author
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Trần Thị Thu Dung, Lê Văn HuyTrường Đại học Kinh tế - Đại học Đà Nẵng
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Tóm tắt
Nghiên cứu nhằm mục tiêu tìm kiếm các giải pháp nâng cao ý định tiếp tục sử dụng ứng dụng (Apps) di động của Đại lý du lịch trực tuyến (OTA) - công cụ góp phần hỗ trợ du lịch sau COVID-19. Giải pháp được đề xuất dựa trên nghiên cứu nhân tố ảnh hưởng đến ý định tiếp tục sử dụng các ứng dụng từ góc độ người dùng. Nhóm tác giả đã thực hiện cuộc khảo sát trực tuyến 478 khách du lịch Việt Nam bằng bảng hỏi với thang đo Likert 7 điểm. Nghiên cứu áp dụng phân tích mô hình cấu trúc tuyến tính để tìm ra mức độ ảnh hưởng của từng nhân tố. Kết quả cho thấy, có ba nhân tố ảnh hưởng đến ý định tiếp tục sử dụng Apps du lịch, đó là sự xác nhận về khả năng đáp ứng của Apps, nhận thức về sự hữu ích, và sự hài lòng về việc sử dụng. Nghiên cứu đã cụ thể hóa lý thuyết dự đoán ý định hành vi ở giai đoạn sau khi sử dụng trong bối cảnh nghiên cứu cụ thể và đề xuất các hàm ý quản trị.
Tài liệu tham khảo
-
[1] Haleem, M. Javaid, R. Vaishya, and S. G. Deshmukh, “Areas of academic research with the impact of COVID-19”, Am. J. Emerg. Med., vol. 38, no. 7, pp. 1524-1526, Jul. 2020, doi: 10.1016/j.ajem.2020.04.022.
[2] Mohanty, A. Hassan, and E. Ekis, “Augmented reality for relaunching tourism post-COVID-19: socially distant, virtually connected”, Worldw. Hosp. Tour. Themes, vol. 12, no. 6, pp. 753–760, Dec. 2020, doi: 10.1108/WHATT-07-2020-0073.
[3] Choi, “Understanding Post-adoption Behavioural Intentions of Mobile Travel App Users.”, PhD Thesis., Griffith University, 2018. [Online]. Available: http://arr.angliss.edu.au:8080/jspui/handle/20.500.12270/345
[4] W.-H. Tan, V. H. Lee, B. Lin, and K.-B. Ooi, “Mobile applications in tourism: the future of the tourism industry?” Ind. Manag. Data Syst., vol. 117, no. 3, pp. 560–581, Apr. 2017, doi: 10.1108/IMDS-12-2015-0490.
[5] A. Kustiwi, “Information systems success dimension in indonesia online travel agency industry”, Russ. J. Agric. Socio-Econ. Sci., vol. 83, no. 11, pp. 221–228, Nov. 2018, doi: 10.18551/rjoas.2018-11.26.
[6] Jun Mo Kwon, Tun-Min, and Jung-in (Stephanie) Bae, “Selecting Mobile Applications: Hotel vs. Online Travel Agency”, J. Bus. Appl. Soc. Sci., vol. 2, no. 7, pp. 2–22, 2016.
[7] -Y. Wang and S.-H. Wang, “Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint”, Int. J. Hosp. Manag., vol. 29, no. 4, pp. 598–608, Dec. 2010, doi: 10.1016/j.ijhm.2009.11.001.
[8] Sigala, “Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research”, J. Bus. Res., vol. 117, pp. 312–321, Sep. 2020, doi: 10.1016/j.jbusres.2020.06.015.
[9] Tavitiyaman, H. Qu, W. L. Tsang, and C. R. Lam, “The influence of smart tourism applications on perceived destination image and behavioral intention: The moderating role of information search behavior”, J. Hosp. Tour. Manag., vol. 46, pp. 476–487, Mar. 2021, doi: 10.1016/j.jhtm.2021.02.003.
[10] Zhang, X. Y. Leung, B. Bai, and Y. Li, “Uncovering crowdsourcing in tourism apps: A grounded theory study”, Tour. Manag., vol. 87, p. 104389, Dec. 2021, doi: 10.1016/j.tourman.2021.104389.
[11] Liang, M. Schuckert, R. Law, and L. Masiero, “The relevance of mobile tourism and information technology: an analysis of recent trends and future research directions”, J. Travel Tour. Mark., vol. 34, no. 6, pp. 732–748, Jul. 2017, doi: 10.1080/10548408.2016.1218403.
[12] Zhong, J. A. Coca-Stefaniak, A. M. Morrison, L. Yang, and B. Deng, “Technology acceptance before and after COVID-19:
no-touch service from hotel robots”, Tour. Rev., Apr. 2022, doi: 10.1108/TR-06-2021-0276.
[13] Bhattacherjee, “An empirical analysis of the antecedents of electronic commerce service continuance”, Decis. Support Syst., vol. 32, no. 2, pp. 201–214, Dec. 2001, doi: 10.1016/S0167-9236(01)00111-7.
[14] Kim, J. Bae, and H. Jeon, “Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation–Confirmation Model Analysis”, Sustainability, vol. 11, no. 6, p. 1578, Mar. 2019, doi: 10.3390/su11061578.
[15] Garima and R. Sajeevan, “Extended expectation‑confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self‑efficacy”, Inf. Technol. Tour., 2019, doi: 10.1007/s4055 8-019-00152-3.
[16] Choi, Y. Wang, and B. Sparks, “Travel app users’ continued use intentions: it’s a matter of value and trust”, J. Travel Tour. Mark., vol. 36, no. 1, pp. 131–143, Jan. 2019, doi: 10.1080/10548408.2018.1505580.
[17] Liu, Q. Li, T. Edu, and I. C. Negricea, “Exploring the Continuance Usage Intention of Travel Applications In the Case of Chinese Tourists”, J. Hosp. Tour. Res., p. 109634802096255, Oct. 2020, doi: 10.1177/1096348020962553.
[18] F. Petrick, “Are loyal visitors desired visitors?”, Tour. Manag., vol. 25, no. 4, pp. 463–470, Aug. 2004, doi: 10.1016/S0261-5177(03)00116-X.
[19] J. Kim, N. Chung, C.-K. Lee, and M. W. Preis, “Motivations and Use Context in Mobile Tourism Shopping: Applying Contingency and Task-Technology Fit Theories: Motivations and Use Context in Mobile Tourism Shopping”, Int. J. Tour. Res., vol. 17, no. 1, pp. 13–24, Jan. 2015, doi: 10.1002/jtr.1957.
[20] Bhattacherjee, “Understanding Information Systems Continuance: An Expectation-Confirmation Model”, MIS Q.,
vol. 25, no. 3, p. 351, Sep. 2001, doi: 10.2307/3250921.
[21] L. Oliver, "A congitive model of the antecedents and consequences of satisfaction decisions", Journal of Marketing Research, Vol. 17, pp. 460–489, 1980.
[22] Zhong, J. Luo, and M. Zhang, “Understanding Antecedents of Continuance Intention in Mobile Travel Booking Service”, Int. J. Bus. Manag., vol. 10, no. 9, p. p156, Aug. 2015, doi: 10.5539/ijbm.v10n9p156.
[23] A. Hossain and M. Quaddus, Expectation–Confirmation Theory in Information System Research: A Review and Analysis, vol. 1. New York, USA: Springer, 2012.
[24] Islam, M. Mäntymäki, and B. Anol, “Towards a Decomposed Expectation Confirmation Model of IT Continuance: The Role of Usability”, Commun. Assoc. Inf. Syst., vol. 40, 2017, doi: 10.17705/1CAIS.04023.
[25] Hoehle and V. Venkatesh, “Mobile Application Usability: Conceptualization and Instrument Development”, MIS Q., vol. 39, no. 2, pp. 435–472, Feb. 2015, doi: 10.25300/MISQ/2015/39.2.08.
[26] Lee, B. Shin, B. Shin, H. Lee, and Yonsei University, “Understanding Post-adoption Usage of Mobile Data Services: The Role of Supplier-side Variables”, J. Assoc. Inf. Syst., vol. 10, no. 12, pp. 860–888, Dec. 2009, doi: 10.17705/1jais.00217.
[27] Tarute, S. Nikou, and R. Gatautis, "Mobile application driven consumer engagement", Telematics and Informatics, vol. 34, no. 4, pp. 145–156, 2017, doi: 10.1016/j.tele.2017.01.006.
[28] B. Ozturk, A. Bilgihan, K. Nusair, and F. Okumus, "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience", International Journal of Information Management, vol. 36, no. 6, pp. 1350–1359, 2016, doi: 10.1016/j.ijinfomgt.2016.04.005.
[29] L. Oliver and W. S. DeSarbo, ‘Response Determinants in Satisfaction Judgments’, Journal of Consumer Research, vol. 14,
no. 4, pp. 495–507, 1988, doi: 10.1086/209131.
[30] D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Q., vol. 13, no. 3, pp. 227–247, 1989, doi: 10.2307/249008.
[31] -H. Chou, C.-H. Chiu, C.-Y. Ho, and J.-C. Lee, "Understanding Mobile Apps Continuance Usage Behavior and Habit: An Expectance - Confirmation Theory", Pac. Asia Conf. Inf. Syst. PACIS, pp. 132, 2013.
[32] Ives, M. H. Olson, and J. J. Baroudi, "The measurement of user information satisfaction", Communications of the ACM, Vol. 26, No. 10, pp. 785–793, 1983. DOI: 10.1145/358413.358430.
[33] -H. Lin and Y.-S. Wang, "An examination of the determinants of customer loyalty in mobile commerce contexts", Information & Management, vol. 43, no. 3, pp. 271–282, 2006, doi: 10.1016/j.im.2005.08.001.
[34] J. Cronin and M. H. Morris, "Satisfying Customer Expectations: The Effect on Conflict and Repurchase Intentions in Industrial Marketing Channels", Journal of the Academy of Marketing Science, Vol. 17, No. 1, pp. 41–49, 1989.
[35] Lê Văn Huy và Trương Trần Trâm Anh, "Phương pháp nghiên cứu trong kinh doanh". Hà Nội: Nhà xuất bản Tài chính, 2012.
[36] Kim, M. Choi, and I. Han, "User behaviors toward mobile data services: The role of perceived fee and prior experience", Expert Systems with Applications, vol. 36, no. 4, pp. 8528–8536, 2009, doi: 10.1016/j.eswa.2008.10.063.
[37] Cobanoglu, P. J. Moreo, and B. Warde, "A Comparison of Mail, Fax and Web-Based Survey Methods", International Journal of Market Research, vol. 43, no. 4, pp. 1–15, 2001, doi: 10.1177/147078530104300401.
[38] F. Hair, M. Page, and N. Brunsveld, "The essentials of business research methods". New York; London: Routledge, 2020.
[39] Raykov and K. F. Widaman, "Issues in applied structural equation modeling research", Struct. Equ. Model. Multidiscip. J., vol. 2, no. 4, pp. 289–318, 1995, doi: 10.1080/10705519509540017.
[40] K. A. Bollen, "Structural equations with latent variables". New York: John Wiley & Sons, 1989.
[41] P. M. Podsakoff, S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff, "Common method biases in behavioral research: A critical review of the literature and recommended remedies", J. Appl. Psychol., vol. 88, no. 5, pp. 879–903, 2003, doi: 10.1037/0021-9010.88.5.879