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Article
Publication date: 16 August 2021

Kojo Kakra Twum, Daniel Ofori, Gabriel Keney and Bright Korang-Yeboah

This study aims to examine the factors affecting behavioural intention to use E-learning during the COVID-19 pandemic. The study applies the unified theory of acceptance and use…

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Abstract

Purpose

This study aims to examine the factors affecting behavioural intention to use E-learning during the COVID-19 pandemic. The study applies the unified theory of acceptance and use of technology 2 (UTAUT2) to identify the factors that predict intention to use E-learning. Also, the study examines the effect of personal innovativeness in information technology and perceived financial cost on intention to use E-learning.

Design/methodology/approach

The study adopted a cross-sectional quantitative study design involving 617 university students. The data was collected through an online survey due to the COVID-19 restrictions. The proposed hypotheses were analysed using partial least squares structural equation modelling.

Findings

The study found that personal innovativeness in information technology, perceived financial cost, performance expectancy, hedonic motivation and social influence have a significant effect on the intention to use E-learning. Contrary to expectation, habits, effort expectancy and facilitating conditions did not predict intention to use E-learning.

Research limitations/implications

The study was conducted on university students and did not include other school-going students and working professionals. Also, the study sample was not drawn from many universities. The study used a quantitative approach. The use of a mixed-methods approach could provide deeper insights into the factors affecting the intention to use E-learning in developing countries.

Practical implications

The practical implications inform policymakers and educational institutions on how E-learning adoption can be enhanced. In this context, social influence, performance expectancy, hedonic motivation, personal innovativeness and perceived financial cost are identified as predictors of intention to use E-learning. This study has implications for the development of E-learning systems and the promotion of the use of E-learning in the context of developing countries.

Originality/value

The study is amongst the few studies from a developing economy to use the UTAUT2 model to examine students’ intention to use E-learning. The study proposes the inclusion of personal innovativeness in information technology and perceived financial cost as factors predicting intention to use E-learning. Again, the study adopts importance-performance matrix analysis to provide decisional areas where management may improve for successful E-learning acceptance and use.

Details

Journal of Science and Technology Policy Management, vol. 13 no. 3
Type: Research Article
ISSN: 2053-4620

Keywords

Abstract

Details

Journal of Science and Technology Policy Management, vol. 13 no. 3
Type: Research Article
ISSN: 2053-4620

Open Access
Article
Publication date: 23 July 2018

Precious Agbeko D. Mattah, Albert Justice Kwarteng and Justice Mensah

The purpose of this paper is to explore the indicators of service quality from the perspective of graduating students in a public university in Ghana. The identified indicators of…

10279

Abstract

Purpose

The purpose of this paper is to explore the indicators of service quality from the perspective of graduating students in a public university in Ghana. The identified indicators of service quality were rated and the extent of satisfaction among the students was determined. Another issue explored was whether the satisfaction among the respondents inures to their loyalty to the university.

Design/methodology/approach

A questionnaire was designed, pre-tested and administered to 500 graduating students, and 482 of them were returned for analyses. Principal component analysis was used to determine the indicators of service quality. Independent sample t-test and z-test for proportions were used to compare mean scores and proportions of respondents on various variables, respectively.

Findings

The results revealed three indicators of service quality which include quality of academic services and facilities, quality of lecturers and quality of academic programs. Graduands were satisfied with academic services, lecturers and programs. They were, however, not satisfied with the quality of facilities. Majority of the respondents will remain associated with the university as a result of their satisfaction with the services, lecturers as well as programs of the university. It is recommended that the university works assiduously on improving infrastructural facilities to help boost the confidence of the students in the university.

Originality/value

This paper argues that what constitutes quality service vary from one academic institution to the other. It is, therefore, needful for institutions to determine from the perspective of their students what may indicate quality service.

Details

Higher Education Evaluation and Development, vol. 12 no. 1
Type: Research Article
ISSN: 2514-5789

Keywords

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