References
- Alagoz, S. M., & Hekimoglu, H. (2012). A study on tam: analysis of customer attitudes in online food ordering system. Procedia-Social and Behavioral Sciences, 62, 1138–1143. https://doi.org/10.1016/j.sbspro.2012.09.195
- Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
- Brown, S. A., & Venkatesh, V. (2005). A Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. Management Information Systems Quarterly, 29(3), 11.
- Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
- Chen, J. V., Rungruengsamrit, D., Rajkumar, T. M., & Yen, D. C. (2013). Success of electronic commerce websites: a comparative study in two countries. Information and Management, 50(6), 344–355. https://doi.org/10.1016/j.im.2013.02.007
- Cho, M., Bonn, M. A., & Li, J. J. (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management, 77, 108–116. https://doi.org/10.1016/j.ijhm.2018.06.019
- Choi, J. C. (2020). User familiarity and satisfaction with food delivery mobile apps. Sage Open, 10(4), 2158244020970563. https://doi.org/10.1177/2158244020970563
- Cyr, D., Bonanni, C., Bowes, J., & Ilsever, J. (2005). Beyond trust: web site design preferences across cultures. Journal of Global Information Management, 13, 25–54. https://doi.org/10.4018/jgim.2005100102
- Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior. International Journal of Information Management, 33(1), 185-198.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), e07807. https://doi.org/10.1016/j.heliyon.2021.e07807
- Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270.
- Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: a theoretical framework and empirical study – a case of China. Computers in Human Behavior, 53, 249–262. https://doi.org/10.1016/j.chb.2015.07.014
- Hair, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
- Hoang, T. P. T., & Lam, Q. L. (2020). The factors affect consumer’s trust and continuous usage intention of food delivery mobile apps. HCMC Open University Journal of Science - Economics and Business Administration, 16(2), 99-116
- Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social apps: satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355. https://doi.org/10.1016/j.tele.2015.08.014
- Iyer, P., Davari, A., & Mukherjee, A. (2018). Investigating the effectiveness of retailers’ mobile applications in determining customer satisfaction and repatronage intentions? A congruency perspective. Journal of Retailing and Consumer Services, 44, 235–243. https://doi.org/10.1016/j.jretconser.2018.07.017
- Kang, J. W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps. International Journal of Contemporary Hospitality Management, 31(2), 734–752. https://doi.org/10.1108/IJCHM-12-2017-0783
- Kapoor, A. P., & Vij, M. (2018). Technology at the dinner table: ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342–351. https://doi.org/10.1016/j.jretconser.2018.04.001
- Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: extending UTAUT2 with information quality. Sustainability, 11(11), 3141. https://doi.org/10.3390/su11113141
- Malaquias, R. F., & Hwang, Y. (2019). Mobile banking use: A comparative study with Brazilian and US participants. International Journal of Information Management, 44, 132-140.
- Nguyen, T. T., Nguyen, N., Nguyen, T. B., Phan, T. T., Bui, L. P., & Moon, H. C. (2019). Investigating consumer attitude and intention towards online food purchasing in an emerging economy: an extended TAM approach. Foods, 8(11), 576. https://doi.org/10.3390/foods8110576
- Okumus, B., Ali, F., Bilgihan, A., & Ozturk, A. B. (2018). Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. International Journal of Hospitality Management, 72, 67–77. https://doi.org/10.1016/j.ijhm.2018.01.001
- Okumus, B., & Anil, B. (2014). Proposing a model to test smartphone users’ intention to use smart applications when ordering food in restaurants. Journal of Hospitality and Tourism Technology, 5(1), 31–49. https://doi.org/10.1108/JHTT-01-2013-0003
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.
- Oyedele, A., Saldivar, R., Hernandez, M. D., & Goenner, E. (2018). Modeling satisfaction and repurchase intentions of mobile smart wristbands: the role of social mindfulness and perceived value. Young Consumers, 19(3), 237–250. https://doi.org/10.1108/YC-09-2017-00737
- Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2016). Adoption of online public grievance redressal system in India: toward developing a unified view. Computers in Human Behavior, 59, 265–282. https://doi.org/10.1016/j.chb.2016.02.019
- Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: an empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308–322. https://doi.org/10.1016/j.jretai.2012.03.001
- See-To, E. W. K., & Ho, K. K. W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behavior, 31, 182–189. ttps://doi.org/10.1016/j.chb.2013.10.013
- Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile apps: extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243–257. https://doi.org/10.1007/s10796-018-9864-5
- Thong, J. Y. L., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810. https://doi.org/10.1016/j.ijhcs.2006.05.001
- Tamilmani K, Rana NP, Prakasam N et al (2019) The battle of brain vs. heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2. International Journal of Information Management, 46, 222-235.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- 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. https://doi.org/10.2307/41410412
- Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: U.S. vs. China. Journal of Global Information Technology Management, 13(1), 5–27. https://doi.org/10.1080/1097198X.2010.10856507
- Vuong, K. T., & Rajagopal, P. (2020). A review of the management process with the mediating role of the budget process on the performance of Vietnamese SMEs. Management dynamics in the knowledge economy, 8(3), 277-296. https://doi.org/10.2478/mdke-2020-0018
- Vuong, T. K., & Bui, H. M. (2023). The role of corporate social responsibility activities in employees’ perception of brand reputation and brand equity. Case Studies in Chemical and Environmental Engineering, 7, 100313. https://doi.org/10.1016/j.cscee.2023.100313
- Wang, X., Goh, D. H. L., & Lim, E. P. (2020). Understanding continuance intention toward crowdsourcing games: a longitudinal investigation. International Journal of Human–Computer Interaction, 36(12), 1168–1177. https://doi.org/10.1080/10447318.2020.1724010
- Wang, Y. S., Tseng, T. H., Wang, W. T., Shih, Y. W., & Chan, P. Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19–30. https://doi.org/10.1016/j.ijhm.2018.06.002
- Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162. https://doi.org/10.1016/j.jretconser.2016.12.013
- Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177/002224299606000203
- Zhang, J., Huang, J., & Chen, J. (2010). Empirical research on user acceptance of mobile searches. Tsinghua Science and Technology, 15(2), 235–245. https://doi.org/10.1016/S1007-0214(10)70056-0
- Wu, R. Z., & Tian, X. F. (2021). Investigating the impact of critical factors on continuous usage intention towards enterprise social networks: an integrated model of IS success and TTF. Sustainability, 13(14), 7619. https://doi.org/10.3390/su13147619