Consumers’ Intention to adopt Online Food Delivery Apps in Bangladesh: An Empirical Analysis

Samiya Bint Halim
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Samiya Bint Halim: Department of Business Administration, Bangladesh Army University of Science and Technology, Saidpur, Bangladesh.

International Journal of Science and Business, 2023, vol. 21, issue 1, 1-12

Abstract: This study’s aim was to explain the factors affecting consumers’ intention to adopt online food delivery (OFD) apps in Bangladesh. In doing so, the author developed a research model by integrating the unified theory of acceptance and use of technology (UTAUT) model and innovation resistance theory. This quantitative study was conducted by collecting data from 256 respondents and those data were analyzed using partial least squares structural equation modeling (PLS-SEM). In this research, the author found that performance expectancy, effort expectancy, social influence, and facilitating conditions have positive and significant effect on consumers’ intent to adopt OFD apps, while adoption barriers had a negative influence upon consumers’ behavioral intention. Several inferences for theory and management have been made on these findings.

Keywords: Online Food Delivery (OFD); Intention to Adopt; UTAUT; Innovation Resistance Theory; PLS-SEM. (search for similar items in EconPapers)
Date: 2023
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