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 18 Global Journal of Management and Business Research Volume XXIII Issue II Version I Year 2023 ( )E © 2023 Global Journals 105. Ramos, K. (2022). Factors influencing customers' continuance usage intention of food delivery apps during COVID-19 quarantine in Mexico. British Food Journal, 124 (3), 833-852. 106. Rana, S., Tandon, U., & Kumar, H. (2023). Understanding medical service quality, system quality and information quality of Tele-Health for sustainable development in the Indian context. Kybernetes . 107. Rasli, M. A. M., Zulkefli, N. H., Salleh, N. S. A., Ghani, F. A., Razali, N. A., & Idris, R. S. N. R. (2020). Determinants of Behavioural Intention on Online Food Delivery (OFD) APPS: Extending UTAUT2 with Information Quality. Global Business & Management Research, 12 (4). 108. Ray, A., Dhir, A., Bala, P. K., & Kaur, P. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. Journal of Retailing and Consumer Services, 51 , 221-230. 109. Rigby, D. (2011). The future of shopping. Harvard Business Review, 89 (12), 65-76. 110. Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. Die diffusion von innovationen in der telekommunik- ation , 25-38. 111. Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47 , 262-273. 112. Saad, A. T. (2020). Factors affecting online food delivery service in Bangladesh: an empirical study. British Food Journal, 123 (2), 535-550. doi: 10.1108 /BFJ-05-2020-0449 113. Sagib, G. K., & Barua, Z. (2014). Bangladeshi mobile banking service quality and customer satis- faction and loyalty. Management & Marketing, 9 (3). 114. Santos, M. L. R. D., & Patiu, L. S. (2023). Determinants of Continuance Usage Intention and Customer Service: Evidence from Food Delivery Application Users in the Philippines. 115. Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2. Journal of Financial Services Marketing, 26 (4), 259-273. 116. Shah, A. M., Abbasi, A. Z., & Yan, X. (2023). Do online peer reviews stimulate diners’ continued log- in behavior: Investigating the role of emotions in the O2O meal delivery apps context. Journal of Retailing and Consumer Services, 72 , 103234. doi: https:// doi.org/10.1016/j.jretconser.2022.103234 117. Shah, A. M., Yan, X., & Qayyum, A. (2021). Adoption of mobile food ordering apps for O2O food delivery services during the COVID-19 outbreak. British Food Journal, 124 (11), 3368-3395. 118. Shankar, A., Jebarajakirthy, C., Nayal, P., Maseeh, H. I., Kumar, A., & Sivapalan, A. (2022). Online food delivery: A systematic synthesis of literature and a framework development. International Journal of Hospitality Management, 104 , 103240. 119. Shaw, N., & Sergueeva, K. (2019). The non- monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45 , 44-55. 120. Showrav, D. G. Y., Hassan, M. A., Anam, S., & Chakrabarty, A. K. (2021). Factors influencing the rapid growth of online shopping during covid-19 pandemic time in Dhaka City, Bangladesh. Academy of Strategic Management Journal, 20 , 1- 13. 121. Siddiqi, R. (2021). BD hotel restaurant industry devastated now, following very high growth. Retrieved from https://bangladeshmonitor.com.bd/ lead-news-details/bd-hotel-restaurant-industry- devastated-now-following-very-high-growth 122. Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50 , 191-205. 123. Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & marketing, 32 (8), 860- 873. 124. Statista. (2023, November 22). Online food delivery - Bangladesh. Retrieved from https://www.statista . com/outlook/dmo/online-food-delivery/bangladesh # revenue 125. Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward online food delivery service: the role of e- service quality and food quality. Journal of foodservice business research, 22 (1), 81-97. 126. Sumi, R. S., & Ahmed, M. (2022). Investigating young consumers’ online buying behavior in COVID- 19 pandemic: perspective of Bangladesh. IIM Ranchi journal of management studies, 1 (2), 108- 123. 127. Taylor, S. (2021). Campus dining goes mobile: Intentions of college students to adopt a mobile food-ordering app. Journal of foodservice business research, 24 (2), 121-139. 128. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6 (2), 144- 176. 129. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information
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