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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Impact of Digital Literacy on Intention to Use Technology for Online Distribution of Higher Education in Vietnam: A Study of Covid19 Context

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2022, v.20 no.6, pp.75-86
https://doi.org/https://doi.org/10.15722/jds.20.06.202206.75
LE, Thi Lan Huong
HOANG, Vu Hiep
HOANG, Mai Duc Minh
NGUYEN, Hong Phuc
BUI, Xuan Bach

Abstract

Purpose: This research aims to provide empirical evidence on the impact of digital literacy on behavioural intention regarding using technology for distribution of higher education. Design, Methodology, and Approach: Quantitative analysis was carried out using Covariance-Based Structural Equation Model with data collected from 901 students who fully experienced 2-year study online at different universities in Vietnam. The structural model was built with digital literacy as the primary indicator and other variables were included based on modified version of Unified Theory of Acceptance and Use of Technology (UTAUT2) by adopting performance expectancy, effort expectancy, social influence, habit, and hedonic motivation variables specifically for education sector. Self-efficacy was added to eliminate possible bias in technology acceptance. Results: From the results of model estimation, digital literacy presented positive impact on the online distribution of higher education in Vietnam. The mediating effects of various indicators such as performance expectancy, effort expectancy, social influence, habit, hedonic motivation, and self-efficacy are significantly determined by research model. Conclusion: The higher level of digital literacy of the students, the more likely that they will use technology in higher education study, especially online learning. Additionally, the mediating effects of indicators from the UTAUT2 theoretical model were also evident to be positively significant.

keywords
Digital Literacy, Distribution of Education, Technology Acceptance, Structural Equation Modelling

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