NDLI: Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach

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Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach

Content Provider	MDPI
Author	Vinerean, Simona Budac, Camelia Baltador, Lia Alexandra Dabija, Dan-Cristian
Copyright Year	2022
Description	The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of the COVID-19 pandemic on consumers’ behavioral intention to rely on m-commerce during this period. The study proposes a research model which is investigated with the help of structural equation modelling in AMOS. Using the framework of a cross-sectional study, data were collected from an emerging market in Romania, where internet speed ranks 4th worldwide and where the yearly increase in internet and social media users is approximately 10%. By using confirmatory factor analysis and structural equation modelling, the research validates the applicability of UTAUT2 in examining consumers’ behavioral intent of using m-commerce during a pandemic. Hedonic motivation is the strongest predictor of consumers’ behavioral intentions to continue using m-commerce. The findings contribute to understandings of consumers’ behavior with m-commerce in an emerging market, extending knowledge based on the adapted UTAUT2 model and allowing for comprehension of the key role of trust and social influences in affecting consumers’ perceptions of the COVID-19 outbreak in relation to shopping patterns.
Starting Page	1269
e-ISSN	20799292
DOI	10.3390/electronics11081269
Journal	Electronics
Issue Number	8
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2022-04-17
Access Restriction	Open
Subject Keyword	Electronics Information and Library Science M-commerce Behavioral Intention Trust Digital Marketing Strategy Unified Theory of Acceptance and Use of Technology (utaut2) Covid-19 Pandemic
Content Type	Text
Resource Type	Article

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