1 |
Al-Mamary, Y. H., Al-Nashmi, M., Hassan, Y. A. G., & Shamsuddin, A. (2016). A critical review of models and theories in the field of individual acceptance of technology. International Journal of Hybrid Information Technology, 9(6), 143-158. http://doi.org/10.14257/ijhit.2016.9.6.13
DOI
|
2 |
Kim, S., Kim, J., & Park, S. (2017). The effects of perceived value, Website trust, and hotel trust on online hotel booking intention. Sustainability, 9(12), 2262. http://doi.org/10.3390/su9122262
DOI
|
3 |
Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36-45. http://doi.org/10.1016/j.ijhm.2015.01.010
DOI
|
4 |
Lien, C. H., Wen, M.-J., Huang, L.-C., & Wu, K.-L. (2015). Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review, 20(4), 210-218. http://doi.org/10.1016/j.apmrv.2015.03.005
DOI
|
5 |
Ashour, M. L, & Al-Qirem, R. S. M.. (2021). Consumer adoption of self-service technologies: integrating the behavioral perspective with the technology acceptance model. Journal of Asian Finance, Economics, and Business, 8(3), 1361-1369. https://doi.org/10.13106/JAFEB.2021.VOL8.NO3.1361
DOI
|
6 |
Boripunt, W. (2015). The influence of electronic word of mouth to convert intention into actual purchase behavior. Kuala Lumpur: Universiti Utara Malaysia.
|
7 |
Nhan Dan Newspaper. (2020). Accelerating the pace of digital transformation in the tourism sector. https://en.nhandan.vn/travel/item/9148302-accelerating-the-pace-of-digitaltransformation-in-the-tourism-sector.html
|
8 |
Vietnamplus. (2017). Foreign sites dominate Vietnam's online tourism market. https://en.vietnamplus.vn/foreign-sites-dominate-vietnams-online-tourism-market/117407.vnp
|
9 |
Pham, H. T., Hoang, K. T., Nguyen, T. T., Do, P. H., & Mar, M. T. C. (2021). Sharing economy: Generation Z's intention toward online fashion rental in Vietnam. Journal of Asian Finance, Economics, and Business, 8(3), 997-1007. https://doi.org/10.13106/JAFEB.2021.VOL8.NO3.0997
DOI
|
10 |
Abdullah, D., Jayaraman, K., Shariff, D. N., Bahari, K. A., & Nor, N. M. (2017). The effects of perceived interactivity, perceived ease of use and perceived usefulness on online hotel booking intention: A conceptual framework. International Academic Research Journal of Social Science, 3(1), 16-23, http://doi.org/10.1016/S2212-5671(16)00079-4
DOI
|
11 |
Rianthong, N., Dumrongsiri, A., & Kohda, Y. (2016). Optimizing customer searching experience of online hotel booking by sequencing hotel choices and selecting online reviews: A mathematical model approach. Tourism Management Perspectives, 20, 55-65. http://doi.org/10.1016/j.tmp. 2016.07.003
DOI
|
12 |
Soulidou, A. K., Karavasilis, G. I., Vrana, V. G., Kehris, E. C., Theocharidis, A.-I. T., & Azaria, A. H. (2018). Factors affecting hotel selection: Greek customers perception. TOURMAN 2018 Conference Proceedings, Rhodes, Greece, 28 October 2018 (pp. 90-97). Munich: MPRA. https://mpra.ub.uni-muenchen.de/98937/1/MPRA_paper_98937.pdf
|
13 |
Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310-1323. http://doi.org/10.1016/j.tourman.2010.12.011
DOI
|
14 |
Lin, Y. C., Li, C., Hsiao, Y. W., & Chen, Y. C. (2019). Predicting how to trust eWOM influences consumer purchase intentions toward group package tours in tourism social networks. International Journal of e-Education, e-Business, 9(3), 160-176. http://doi.org/10.17706/ijeeee.2019.9.3.160-176
DOI
|
15 |
Van Dolen, W. M., Dabholkar, P. A., & de Ruyter, K. (2007). Satisfaction with online commercial group chat: The influence of perceived technology attributes, chat group characteristics, and advisor communication style. Journal of Retailing, 83(3), 339-358. http://doi.org/10.1016/j.jretai.2007.03.004
DOI
|
16 |
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. http://doi.org/10.2307/41410412
DOI
|
17 |
Virgilio, F., & Antonelli, G. (2017). Consumer behavior, trust, and electronic word-of-mouth communication: Developing an online purchase intention model. In book: Social Media for Knowledge Management Applications in Modern Organizations, 58-80. http://doi.org/10.4018/978-1-5225-2897-5.ch003
DOI
|
18 |
Lin, H. F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433-442. http://doi.org/10.1016/j.elerap.2007.02.002
DOI
|
19 |
Lin, W. B., Wang, M. K., & Hwang, K. P. (2010). The combined model of influencing online consumer behavior. Expert Systems with Applications, 37(4), 3236-3247. http://doi.org/10.1016/j.eswa.2009.09.056
DOI
|
20 |
Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470. http://doi.org/10.1016/j.dss.2012.06.008
DOI
|
21 |
Dada, A. A. (2021). Exploring the influence of electronic word-of-mouth (eWOM) on intention to Share-Wallet: A study of UK retail banking customer using the theory of planned behavior. UK: Cardiff Metropolitan University.
|
22 |
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319. http://doi.org/10.1177/002224379102800305
DOI
|
23 |
Goh, S. K., Ho, V. T., & Jiang, N. (2015). The effect of electronic word of mouth on intention to book accommodation via the online peer-to-peer platform: Investigation of the theory of planned behavior. Journal of Internet Banking Commerce, S2(005). http://doi.org/10.4172/1204-5357.S2-005
DOI
|
24 |
Han, H., Hsu, L., & Sheu, C. (2010) Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmentally friendly activities. Tourism Management, 31(3), 325-334. http://doi.org/10.1016/j.tourman.2009.03.013
DOI
|
25 |
Grant Thornton, G. (2020). VietNam Lodging Industry-Hotel survey-Executive summary. Access on 07th Aug 2021. https://www.grantthornton.com.vn/globalassets/1.-member-firms/vietnam/publications/2020-hs---executive-summary---eng---final.pdf
|
26 |
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. http://doi.org/10.1016/j.tourman.2007.05.011
DOI
|
27 |
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39. http://doi.org/10.1016/j.chb.2008.06.002
DOI
|
28 |
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Cambridge, MA: Sloan School of Management.
|
29 |
Elwalda, A., Lu, K., & Ali, M. (2016). Perceived derived attributes of online customer reviews. Computers in Human Behavior, 56, 306-319. http://doi.org/10.1016/j.chb.2015.11.051
DOI
|
30 |
Erkan, I. (2016). The influence of electronic word of mouth in social media on consumers' purchase intentions. Brunei
|
31 |
Hsu, C., Chuan-Chuan Lin, J., & Chiang, H. (2013). The effects of blogger recommendations on customers' online shopping intentions. Internet Research, 23(1), 69-88. http://doi.org/10.1108/10662241311295782
DOI
|
32 |
Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45, 399-416. https://doi.org/10.1016/j.compedu.2004.06.001
DOI
|
33 |
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 22. https://doi.org/10.17705/1jais.00122
DOI
|
34 |
Casalo, L. V., Flavian, C., & Guinaliu, M. (2010). Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions. Tourism Management, 31(6), 898-911. http://doi.org/10.1016/j.tourman.2010.04.007
DOI
|
35 |
Casalo, L. V., Flavian, C., Guinaliu, M., & Ekinci, Y. (2015). Do online hotel rating schemes influence booking behaviors? International Journal of Hospitality Management, 49, 28-36. http://doi.org/10.1016/j.ijhm.2015.05.005
DOI
|
36 |
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In Marcoulides G. A. (Ed.), Modern methods for business research (pp. 295-336). Mahwah: Lawrence Erlbaum Associates Publishers.
|
37 |
Hennig-Thurau, T., Walsh, G., & Walsh, G. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8(2), 51-74. http://doi.org/10.1080/10864415.2003.11044293
DOI
|
38 |
Agag, G., & El-Masry, A. A. (2016a). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97-111. http://doi.org/10.1016/j.chb.2016.02.038
DOI
|
39 |
Tseng, F. M., & Hsu, F. Y. (2010). The influence of eWOM within the online community on consumers' purchasing intentions-the case of the Eee PC. https://www.yzu.edu.tw/admin/rd/files7.pdf
|
40 |
Ha, N. T., Nguyen, T. L. H., Pham, T. V., & Nguyen, T. H. T. (2021). Factors influencing online shopping intention: An empirical study in Vietnam. Journal of Asian Finance, Economics, and Business, 8(3), 1257-1266. https://doi.org/10.13106/JAFEB.2021.VOL8.NO3.1257
DOI
|
41 |
Ismail, M. N. I., Aziz, A., & Ismail, H. (2014). Characteristic of a boutique hotel: Parameters of attraction. Conference: 5th International Conference on Business and Economics Research (5th ICBER 2014), Kuching, Sarawak, Malaysia, 24-25 March 2014 (pp. 720-726). https://www.researchgate.net/publication/304239413_Characteristic_of_Boutique_Hotel_Parameters_of_Attraction
|
42 |
Joo, J. (2017). Understanding acceptance of Fintech service in Korea: Focused on decomposed TPB into TAM. Journal of Digital Convergence, 15(4), 171-179. https://doi.org/10.14400/JDC.2017.15.4.171
DOI
|
43 |
Kavitha, C., Balaji, V., & Sivanesan, G. (2020). Role of electronic word-of-mouth (eWOM) in online booking. Journal of Xi'an University of Architecture and Technology, 12(2), 534-542.
|
44 |
Saw, S. L., Goh, Y. N., & Isa, S. M. (2015). Exploring consumers' intention toward online hotel reservations: Insights from Malaysia. Problems and Perspectives in Management, 13(2), 249-257. https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/6713/PPM_2015_02spec.issue_M_Saw.pdf
|
45 |
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. http://doi.org/10.1016/0749-5978(91)90020-T
DOI
|
46 |
Linton, H., & Kwortnik, R. J. (2015). The mobile revolution is here: Are you ready? Cornell Hospitality Report, 15(6), 1-18. https://ecommons.cornell.edu/handle/1813/71197
|
47 |
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. http://doi.org/10.1287/mnsc.35.8.982
DOI
|
48 |
Oliveira, R. D. C., Baldam, E. C. G. R., Costa, F. R., & Pelissari, A. S. (2019). The influence of the perceived usefulness of online reviews on the intention to purchase hotel services. Revista Brasileira de Pesquisa em Turismo, 14(2), May./Aug, 30-45. http://doi.org/10.7784/rbtur.v14i2.1695
DOI
|
49 |
Punnasuparom, P., & Choibamroong, T. (2020). Hotel Website quality factors influencing high-quality tourists' online purchasing intentions: A luxury, boutique hotel in Bangkok. International Journal of Innovation, Creativity, and Change, 13(6), 426-441.
|
50 |
Statista. (2021). Revenue of online purchases in tourism and travel in Vietnam 2017-2025. https://www.statista.com/forecasts/1245526/revenue-online-channels-travel-tourismvietnam
|
51 |
Verma, R. (2015). Understanding and predicting customer choices. Cornell School of Hotel Administration on Hospitality, 81-96. http://doi.org/10.1002/9781119200901.ch7
DOI
|
52 |
Wang, Y. (2016). Information adoption model, a review of the literature. Journal of Economics. Journal of Economics, Business, and Management, 4(11), 618-622. https://doi.org/10.18178/joebm.2016.4.11.462
DOI
|
53 |
Mohamad, M. A., Radzi, S. M., & Hanafiah, M. H. (2021). Understanding tourist mobile hotel booking behavior: Incorporating perceived enjoyment and perceived price value in the modified Technology Acceptance Model. Tourism and Management Studies, 17(1), 19-30. http://doi.org/10.18089/tms.2021.170102
DOI
|
54 |
Ayeh, J. K. (2015). Travelers' acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173-180. http://doi.org/10.1016/j.chb.2014.12.049
DOI
|
55 |
Abdullah, D., Kamal, S., Azmi, A., Lahap, J., Bahari, K., & Din, N. (2019). Perceived Website interactivity, perceived usefulness, and online hotel booking intention: A structural model. Malaysian Journal of Consumer and Family Economics, 21, 45-57.
|
56 |
Morosan, C. (2012). Theoretical and empirical considerations of guests' perceptions of biometric systems in hotels. Journal of Hospitality and Tourism Research, 36(1), 52-84. http://doi.org/10.1177/1096348010380601
DOI
|
57 |
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143. http://doi.org/10.2307/25148720
DOI
|
58 |
Agag, G., & El-Masry, A. A. (2016b). Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management, 54, 52-67. http://doi.org/10.1016/j.ijhm.2016.01.007
DOI
|
59 |
Anantamongkolkul, C., & Kongma, T. (2020). Thai university student travel behavior: An extension of the theory of planned behavior. ABAC Journal, 40(1), 126-141.
|
60 |
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40(4), 471-499. http://doi.org/10.1348/014466601164939
DOI
|
61 |
Teng, Y. M., Wu, K. S., & Chou, C.-Y. (2020). Price or convenience: What is more important for online and offline bookings? A study of a five-star resort hotel in Taiwan. Sustainability, 12(10), 3972. http://doi.org/10.3390/su12103972
DOI
|
62 |
Sahli, A. B., & Legoherel, P. (2016). The tourism Web acceptance model. Journal of Vacation Marketing, 22(2), 179-194. http://doi.org/10.1177/1356766715607589
DOI
|
63 |
Taylor, S., & Todd, P. (1995). Assessing its usage: The role of prior experience. MIS Quarterly, 19(4), 561-570. http://doi.org/10.2307/249633
DOI
|