Global Journal of Management and Business Research, E: Marketing, Volume 23 Issue 2
Consumers’ Food Delivery Apps (FDAs) Continuance Intention: An Empirical Investigation using the Extended UTAUT2 Model 17 Global Journal of Management and Business Research Volume XXIII Issue II Version I Year 2023 ( )E © 2023 Global Journals International Journal of Information Management, 26 (6), 469-483. 79. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS quarterly , 705-737. 80. Mahmud, J. (2019). Factors Affecting The Selection of Cuisine: A Study on The Restaurant Sector of Bangladesh. University of Dhaka. 81. Malhotra, N. (2010). Marketing research 6th edition: published by Prentice hall, International Edition. 82. Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal access in the information society, 14 , 81-95. 83. Maria, A. (2023). Top 10 food delivery services in Bangladesh 2023. Retrieved from https://mybangla 24.com/food-delivery-services-bangladesh 84. Mehrolia, S., Alagarsamy, S., & Solaikutty, V. M. (2021). Customers response to online food delivery services during COVID ‐ 19 outbreak using binary logistic regression. International Journal of Consumer Studies, 45 (3), 396-408. 85. Miah, M. R., Hossain, A., Shikder, R., Saha, T., & Neger, M. (2022). Evaluating the impact of social media on online shopping behavior during COVID- 19 pandemic: A Bangladeshi consumers’ per- spectives. Heliyon, 8 (9), e10600. 86. Michaeli, A. (2015). App stores growth accelerates in 2014. Retrieved from https://www. developer- nation.net/blog/app-stores-growth-accelerates-2014 87. Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors determining the behavioral intention of using food delivery apps during COVID-19 pandemics. Journal of theoretical and applied electronic commerce research, 16 (5), 1297-1310. 88. Musakwa, I. S., & Petersen, F. (2023). Factors affecting consumer acceptance and use of mobile delivery applications in South Africa. South African Journal of Information Management, 25 (1), 8. 89. Nam, L. G., An, T., & Thi, N. (2021). Factors affecting the continuance intention to use food delivery apps of the millennials in Ho Chi Minh city. Technium Soc. Sci. J., 18 , 404. 90. Neger, M., & Uddin, B. (2020). Factors affecting consumers’ internet shopping behavior during the COVID-19 pandemic: Evidence from Bangladesh. Chinese Business Review, 19 (3), 91-104. 91. Nguyen, T., Huang, E., & Nguyen, D. M. (2023). Food delivery app continuance: a dual model and segmentation approach. International Journal of Retail & Distribution Management, 51 (5), 569-589. 92. Novita, D., & Husna, N. (2020). The influence factors of consumer behavioral intention towards online food delivery services. TECHNOBIZ: International Journal of Business, 3 (2), 40-42. 93. Nysveen, H., & Pedersen, P. E. (2016). Consumer adoption of RFID-enabled services. Applying an extended UTAUT model. Information Systems Frontiers, 18 , 293-314. 94. 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 Hospita- lity Management, 72 , 67-77. 95. Oliver, R. (1980). A Cognitive Model for the Antecedents and Consequences of Satisfaction. Journal of Marketing Research, 17 , 460-469. doi: https://doi.org/10.1177%2F002224378001700405 96. Osei, F., Agyemang, G., Kankam-Kwarteng, C., & Amofah, O. (2021). Customer use of online order for food delivery service: the application of UTAUT2 Model. Technium Soc. Sci. J., 25 , 496. 97. Ozturk, A. B., Nusair, K., Okumus, F., & Hua, N. (2016). The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57 , 106-115. doi: https:// doi.org/10.1016/j.ijhm.2016.06.007 98. Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User acceptance of mobile apps for restaurants: An expanded and extended UTAUT-2. Sustainability, 11 (4), 1210. 99. Pandey, S., Chawla, D., & Puri, S. (2022). Food delivery apps (FDAs) in Asia: an exploratory study across India and the Philippines. British Food Journal, 124 (3), 657-678. 100. Pigatto, G., Machado, J. G. d. C. F., Negreti, A. d. S., & Machado, L. M. (2017). Have you chosen your request? Analysis of online food delivery companies in Brazil. British Food Journal, 119 (3), 639-657. 101. Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H.-S. (2022). Online food delivery services and consumers' purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105 , 103275. doi: https://doi.org/10.1016/j.ijhm.2022.103275 102. Podsakoff, P. M., & Organ, D. W. (1986). Self- reports in organizational research: Problems and prospects. Journal of management, 12 (4), 531-544. 103. Prasetyo, Y. T., Tanto, H., Mariyanto, M., Hanjaya, C., Young, M. N., Persada, S. F., . . . Redi, A. A. N. P. (2021). Factors affecting customer satisfaction and loyalty in online food delivery service during the COVID-19 pandemic: Its relation with open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7 (1), 76. 104. Ramesh, R., Prabhu, S. V., Sasikumar, B., Devi, B. K., Prasath, P., & Kamala, S. P. R. (2023). An empirical study of online food delivery services from applications perspective. Materials Today: Procee- dings, 80 , 1751-1755.
RkJQdWJsaXNoZXIy NTg4NDg=