Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage
E-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period. Successful adoption and implementation of cloud E-Learning seems difficul...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/9/4176 |
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| author | Quadri Noorulhasan Naveed Mohammad Mahtab Alam Adel Ibrahim Qahmash Kahkasha Moin Quadri |
| author_facet | Quadri Noorulhasan Naveed Mohammad Mahtab Alam Adel Ibrahim Qahmash Kahkasha Moin Quadri |
| author_sort | Quadri Noorulhasan Naveed |
| collection | DOAJ |
| description | E-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period. Successful adoption and implementation of cloud E-Learning seems difficult without significant service quality. Aims: This study aims to identify the determinant of cloud E-Learning service quality. Methodology: A theoretical model was proposed to gauge the cloud E-Learning service quality by extensive literature search. The most important factors for cloud E-Learning service quality were screened. Instruments for each factor were defined properly, and its content validity was checked with the help of Group Decision Makers (GDMs). Empirical testing was used to validate the proposed theoretical model, the self-structured closed-ended questionnaire was used to conduct an online survey. Findings: Internal consistency of the proposed model was checked with reliability and composite reliability and found appropriate α ≥ 0.70 and CR ≥ 0.70. Indicator Reliability was matched with the help of Outer Loading and found deemed fit OL ≥ 0.70. To establish Convergent Validity Average Variance Extracted, Factor Loading and Composite Reliability were used and found deemed suitable with AVE ≥ 0.50. The HTMT and Fornell–Lacker tests were applied to assess discriminant validity and found appropriate (HTMT ≤ 0.85). Finally, the Variance Inflation Factor was used to detect multicollinearity if any and found internal and external VIF < 3. Conclusions: Theoretical model for cloud E-Learning service quality was proposed. Information Quality, Reliability, Perceived ease of use and Social Influence were considered as explanatory variables whereas actual system usage was the dependent variable. Empirical testing on all parameters stated that the proposed model was deemed fit in evaluating cloud E-Learning service quality. |
| first_indexed | 2024-03-10T11:43:40Z |
| format | Article |
| id | doaj.art-bad03dec27874a14b2c1ccb5fc0f76cd |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:43:40Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bad03dec27874a14b2c1ccb5fc0f76cd2023-11-21T18:18:19ZengMDPI AGApplied Sciences2076-34172021-05-01119417610.3390/app11094176Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System UsageQuadri Noorulhasan Naveed0Mohammad Mahtab Alam1Adel Ibrahim Qahmash2Kahkasha Moin Quadri3College of Computer Science, King Khalid University, Abha 62529, Saudi ArabiaCollege of Applied Medical Sciences, King Khalid University, Abha 62529, Saudi ArabiaCollege of Education, King Khalid University, Abha 62529, Saudi ArabiaDepartment of English, Dr Babasaheb Ambedkar Marathwada University, Aurangabad 431004, IndiaE-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period. Successful adoption and implementation of cloud E-Learning seems difficult without significant service quality. Aims: This study aims to identify the determinant of cloud E-Learning service quality. Methodology: A theoretical model was proposed to gauge the cloud E-Learning service quality by extensive literature search. The most important factors for cloud E-Learning service quality were screened. Instruments for each factor were defined properly, and its content validity was checked with the help of Group Decision Makers (GDMs). Empirical testing was used to validate the proposed theoretical model, the self-structured closed-ended questionnaire was used to conduct an online survey. Findings: Internal consistency of the proposed model was checked with reliability and composite reliability and found appropriate α ≥ 0.70 and CR ≥ 0.70. Indicator Reliability was matched with the help of Outer Loading and found deemed fit OL ≥ 0.70. To establish Convergent Validity Average Variance Extracted, Factor Loading and Composite Reliability were used and found deemed suitable with AVE ≥ 0.50. The HTMT and Fornell–Lacker tests were applied to assess discriminant validity and found appropriate (HTMT ≤ 0.85). Finally, the Variance Inflation Factor was used to detect multicollinearity if any and found internal and external VIF < 3. Conclusions: Theoretical model for cloud E-Learning service quality was proposed. Information Quality, Reliability, Perceived ease of use and Social Influence were considered as explanatory variables whereas actual system usage was the dependent variable. Empirical testing on all parameters stated that the proposed model was deemed fit in evaluating cloud E-Learning service quality.https://www.mdpi.com/2076-3417/11/9/4176cloud E-Learning systemcloud E-Learning educationcloud E-Learning servicesquality of cloud E-Learning servicesactive system usage |
| spellingShingle | Quadri Noorulhasan Naveed Mohammad Mahtab Alam Adel Ibrahim Qahmash Kahkasha Moin Quadri Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage Applied Sciences cloud E-Learning system cloud E-Learning education cloud E-Learning services quality of cloud E-Learning services active system usage |
| title | Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage |
| title_full | Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage |
| title_fullStr | Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage |
| title_full_unstemmed | Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage |
| title_short | Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage |
| title_sort | exploring the determinants of service quality of cloud e learning system for active system usage |
| topic | cloud E-Learning system cloud E-Learning education cloud E-Learning services quality of cloud E-Learning services active system usage |
| url | https://www.mdpi.com/2076-3417/11/9/4176 |
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