An information system success model for e-learning postadoption using the fuzzy analytic network process
The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who fro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2023
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| Online Access: | http://eprints.utm.my/106586/1/GohChinFei2023_AnInformationSystemSuccessModelForELearning.pdf |
| _version_ | 1811132368061202432 |
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| author | Hii, Puong Koh Goh, Chin Fei Tan, Owee Kowang Amran, Rasli Ong, Choon Hee |
| author_facet | Hii, Puong Koh Goh, Chin Fei Tan, Owee Kowang Amran, Rasli Ong, Choon Hee |
| author_sort | Hii, Puong Koh |
| collection | ePrints |
| description | The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in Malaysia. The data collected was then analyzed using the extent analysis method proposed by Chang (European Journal of Operational Research,95(3), 649–655, 1996) to examine the weights and rankings of the factors and subfactors. This study showed that for e-learning postadoption, the most important factor is institution service quality, followed by system quality, content quality, instructors' characteristics, and learners' characteristics. This study extends the information systems success model into the e-learning postadoption context. In particular, this study offered insights concerning the dependencies among the factors in the model within the Malaysian university context. The findings are useful for the long-range strategic management of university administrators, and the model can be adopted as a reference to form a rating system to analyze e-learning postadoption. University administrators can analyze critical factors that increase e-learning’s post adoption and lead to more efficient resource allocation and management of e-learning. |
| first_indexed | 2024-09-24T00:02:58Z |
| format | Article |
| id | utm.eprints-106586 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-09-24T00:02:58Z |
| publishDate | 2023 |
| publisher | Springer |
| record_format | dspace |
| spelling | utm.eprints-1065862024-07-09T07:53:31Z http://eprints.utm.my/106586/ An information system success model for e-learning postadoption using the fuzzy analytic network process Hii, Puong Koh Goh, Chin Fei Tan, Owee Kowang Amran, Rasli Ong, Choon Hee HD30.2 Knowledge management The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in Malaysia. The data collected was then analyzed using the extent analysis method proposed by Chang (European Journal of Operational Research,95(3), 649–655, 1996) to examine the weights and rankings of the factors and subfactors. This study showed that for e-learning postadoption, the most important factor is institution service quality, followed by system quality, content quality, instructors' characteristics, and learners' characteristics. This study extends the information systems success model into the e-learning postadoption context. In particular, this study offered insights concerning the dependencies among the factors in the model within the Malaysian university context. The findings are useful for the long-range strategic management of university administrators, and the model can be adopted as a reference to form a rating system to analyze e-learning postadoption. University administrators can analyze critical factors that increase e-learning’s post adoption and lead to more efficient resource allocation and management of e-learning. Springer 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/106586/1/GohChinFei2023_AnInformationSystemSuccessModelForELearning.pdf Hii, Puong Koh and Goh, Chin Fei and Tan, Owee Kowang and Amran, Rasli and Ong, Choon Hee (2023) An information system success model for e-learning postadoption using the fuzzy analytic network process. Education and Information Technologies, 28 (8). pp. 10731-10752. ISSN 1360-2357 http://dx.doi.org/10.1007/s10639-023-11621-y DOI : 10.1007/s10639-023-11621-y |
| spellingShingle | HD30.2 Knowledge management Hii, Puong Koh Goh, Chin Fei Tan, Owee Kowang Amran, Rasli Ong, Choon Hee An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title | An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title_full | An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title_fullStr | An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title_full_unstemmed | An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title_short | An information system success model for e-learning postadoption using the fuzzy analytic network process |
| title_sort | information system success model for e learning postadoption using the fuzzy analytic network process |
| topic | HD30.2 Knowledge management |
| url | http://eprints.utm.my/106586/1/GohChinFei2023_AnInformationSystemSuccessModelForELearning.pdf |
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