An Information System Success Model for E-Learning Postadoption Using the Fuzzy Analytic Network Process

Autor/inn/en	Hii, Puong Koh; Goh, Chin Fei; Tan, Owee Kowang; Amran, Rasli; Ong, Choon Hee
Titel	An Information System Success Model for E-Learning Postadoption Using the Fuzzy Analytic Network Process
Quelle	In: Education and Information Technologies, 28 (2023) 8, S.10731-10752 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hii, Puong Koh) ORCID (Goh, Chin Fei) ORCID (Tan, Owee Kowang) ORCID (Amran, Rasli) ORCID (Ong, Choon Hee)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-023-11621-y
Schlagwörter	Information Systems; Success; Models; Electronic Learning; Network Analysis; College Faculty; Foreign Countries; Technology Uses in Education; College Administration; Strategic Planning; Resource Allocation; Malaysia + Suchen Sie Ihr Suchwort? Erfolg; Analogiemodell; Netzplantechnik; Fakultät; Ausland; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; College administrators; Hochschulverwaltung; Strategy; Planning; Strategie; Planung; Ressourcenallokation
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01