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 12 Global Journal of Management and Business Research Volume XXIII Issue II Version I Year 2023 ( )E © 2023 Global Journals Note: *p<0.05, **p<0.001. Non-Significant Paths are Shown in Dotted Lines. ” Fig. 2: The structural Equation Model with Parameter Estimates Table 6: Result of Structural Model Analysis Hypotheses Relationship Path Coefficient ( β ) T -value P -value f 2 Decision VIF H1 PE  CUI 0.234 3.563 0.001 0.020 Accepted 2.301 H2 EE  CUI 0.085 1.415 0.093 0.001 Rejected 1.675 H3 SI  CUI 0.196 2.341 0.001 0.023 Accepted 2.121 H4 FC  CUI 0.221 3.672 0.001 0.033 Accepted 2.232 H5 HM  CUI 0.26 4.121 0.001 0.022 Accepted 1.752 H6 PV  CUI 0.297 3.870 0.001 0.051 Accepted 2.451 H7 HT  CUI 0.064 1.231 0.083 0.021 Rejected 2.231 H8 IQ  CUI 0.342 5.342 0.001 0.024 Accepted 1.933 H9 TS  CUI 0.053 1.116 0.073 0.012 Rejected 1.578 H10 CO  CUI 0.32 4.360 0.001 0.031 Accepted 1.678 Note: CUI= Continuance Usage Intention; PE = Performance Expectancy; EE = Effort Expectancy; SI= Social Influence; FC = Facilitating Conditions; HM = Hedonic Motivation; PV = Price Value; HB = Habit; IQ = Information Quality; TS = Time Savings; CO = Convenience. ” VI. D iscussion and I mplications a) Discussion The purpose of the present study was to evaluate the impact of 10critical determinants of the extended UTAUT2 and an additional three factors (i.e., information quality, time-saving , and convenience) on consumers’ intention to continue using FDA services after the COVID-19 pandemic, particularly in the context of Bangladesh. The findings of the study showed that performance expectancy, social influence, facilitating conditions, hedonic motivation, price value, information quality, and convenience positively influence users’ continuance intention to use FDAs. These results are also supported by previous researchers, for instance, performance expectancy (Santos & Patiu, 2023), social influence (Santos & Patiu, 2023), facilitating conditions(Cheng et al., 2020), hedonic motivation (Rasli et al., 2020), price value (Rasli et al., 2020; Santos & Patiu, 2023), information quality (Rasli et al., 2020), convenience (Yapp & Kataraian, 2022). In this study, however, users’ continuous usage intention is not influenced by users’ effort expectancy (Okumus et al., 2018; Rasli et al., 2020; Santos & Patiu, 2023)habit, and time-saving orientation (Koiri et al., 2019). The effort expectancy was found to be non- significant due to the fact that the majority of participants have a high level of education and, as a result, exert less effort in operating the FDAs. The majority of the survey respondent s were between the ages of 25 and 39, making them members of a generation that is familiar with mobile applications and