Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective

Blended e-learning has become a common phenomenon in higher education globally. Most affluent economies embraced e-learning by design through strategic moves to augment their competitiveness. However, in most emerging economies, e-learning implementation was impulsively reactive to the Covid-19ʹs de...

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Main Authors: Phillip Dangaiso, Forbes Makudza, Hope Hogo
Other Authors: Department of Business Administration and Management, Zimbabwe Ezekiel Guti University, Bindura, Zimbabwe
Format: research article
Language:English
Published: Taylor and Francis Group 2022
Subjects:
Online Access:https://cris.library.msu.ac.zw//handle/11408/5285
https://doi.org/10.1080/2331186X.2022.2145805
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author Phillip Dangaiso
Forbes Makudza
Hope Hogo
author2 Department of Business Administration and Management, Zimbabwe Ezekiel Guti University, Bindura, Zimbabwe
author_facet Department of Business Administration and Management, Zimbabwe Ezekiel Guti University, Bindura, Zimbabwe
Phillip Dangaiso
Forbes Makudza
Hope Hogo
author_sort Phillip Dangaiso
collection DSpace
description Blended e-learning has become a common phenomenon in higher education globally. Most affluent economies embraced e-learning by design through strategic moves to augment their competitiveness. However, in most emerging economies, e-learning implementation was impulsively reactive to the Covid-19ʹs demands. Thus, the study examined the impact of perceived e-learning service quality on students’ satisfaction and loyalty in a developing country. The expectation-confirmation thty -35 eory informs the development of the conceptual framework. A causal research design enshrined in the positivism research philosophy was adopted. The research population was made up of students enrolled in public and private universities in Zimbabwe. Data was collected through person-administered survey and a stratified sample of 354 students was obtained. The results from structural equation modelling (SEM) revealed significant positive relationships between perceived e-learning service quality dimensions and e-learning student satisfaction. It was also reflected that student satisfaction positively affected student loyalty with e-learning (P < 0.05). It was therefore concluded that system quality, information quality and service quality significantly influence student satisfaction and loyalty with e-learning. The study thus recommended that the higher education industry should design e-learning systems that enhance easy access, easy navigation and user flexibility.
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spelling ir-11408-52852022-12-15T08:26:39Z Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective Phillip Dangaiso Forbes Makudza Hope Hogo Department of Business Administration and Management, Zimbabwe Ezekiel Guti University, Bindura, Zimbabwe Department of Business Enterprise and Management, University of Zimbabwe, Harare, Zimbabwe Department of Marketing and Information Sciences, Midlands State University, Gweru, Zimbabwe E-learning Service quality Student satisfaction Student loyalty Digital Marketing Higher education Developing Country Blended e-learning has become a common phenomenon in higher education globally. Most affluent economies embraced e-learning by design through strategic moves to augment their competitiveness. However, in most emerging economies, e-learning implementation was impulsively reactive to the Covid-19ʹs demands. Thus, the study examined the impact of perceived e-learning service quality on students’ satisfaction and loyalty in a developing country. The expectation-confirmation thty -35 eory informs the development of the conceptual framework. A causal research design enshrined in the positivism research philosophy was adopted. The research population was made up of students enrolled in public and private universities in Zimbabwe. Data was collected through person-administered survey and a stratified sample of 354 students was obtained. The results from structural equation modelling (SEM) revealed significant positive relationships between perceived e-learning service quality dimensions and e-learning student satisfaction. It was also reflected that student satisfaction positively affected student loyalty with e-learning (P < 0.05). It was therefore concluded that system quality, information quality and service quality significantly influence student satisfaction and loyalty with e-learning. The study thus recommended that the higher education industry should design e-learning systems that enhance easy access, easy navigation and user flexibility. 9 1 1 20 2022-12-15T08:26:39Z 2022-12-15T08:26:39Z 2022-11-13 research article https://cris.library.msu.ac.zw//handle/11408/5285 https://doi.org/10.1080/2331186X.2022.2145805 en Cogent Education 2331-186X open Taylor and Francis Group
spellingShingle E-learning
Service quality
Student satisfaction
Student loyalty
Digital Marketing
Higher education
Developing Country
Phillip Dangaiso
Forbes Makudza
Hope Hogo
Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title_full Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title_fullStr Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title_full_unstemmed Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title_short Modelling perceived e-learning service quality, student satisfaction and loyalty. A higher education perspective
title_sort modelling perceived e-learning service quality, student satisfaction and loyalty. a higher education perspective
topic E-learning
Service quality
Student satisfaction
Student loyalty
Digital Marketing
Higher education
Developing Country
url https://cris.library.msu.ac.zw//handle/11408/5285
https://doi.org/10.1080/2331186X.2022.2145805
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AT forbesmakudza modellingperceivedelearningservicequalitystudentsatisfactionandloyaltyahighereducationperspective
AT hopehogo modellingperceivedelearningservicequalitystudentsatisfactionandloyaltyahighereducationperspective