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Identification and prioritizing the key factors contributing to the success of E-learning using fuzzy TOPSIS technique


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Abstract

The current study aimed at identifying and prioritizing the success key factors of e-learning using the fuzzy TOPSIS method. This study's population comprised 16000 e-learning participants in Bushehr province, Iran, the members of which were selected using a simple cluster-stratified sampling method in Jam and Riz, Bushehr province. According to Morgan's table, the sample size was 375 people. Considering the literature review and expert's opinions in Jam and after consulting a group of professors, 60 success key factors were identified and divided into 8 categories, and 5 criteria were also selected. The eight alternatives included “1. Technical quality of the system, 2. Information quality, 3. Service quality, 4. Support quality, 5. Education quality, 6. Trainer quality, 7. Learner quality, 8. Exploitation intention”, and the criteria covered “1. Costs, 2. Scalability, 3. Flexibility, 4. User satisfaction, 5. Profitability”. The fuzzy TOPSIS questionnaires were distributed among three classes of sample individuals, to which 364 people responded. The results of prioritizing key factors of success of e-learning based on the fuzzy TOPSIS technique indicated that the alternative system support quality, technical quality, trainer quality, education quality, learner quality, information quality, exploitation intention, and service quality were ranked the first to the eighth priorities, respectively.



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