Determining elearning critical success factor at sebelas maret university using Analytical Hierarchy Process (AHP)

Anggrainingsih, Rini; Nugroho, Arief Adi; Suryani, Esti; Wahyuningsih, Daru

doi:10.1109/isemantic.2016.7873836

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…First, this study shows that institution service quality (global weight = 0.390) is the most important factor influencing the postadoption of e-learning in the Malaysian context. This finding is inconsistent with prior studies that have suggested that institution service quality is the least important factor (Anggrainingsih et al, 2016;Bhuasiri et al, 2012;Fitriastuti et al, 2019;Xaymoungkhoun et al, 2012). Nevertheless, the results of this study are consistent with Anggrainingsih et al (2018) and Lee (2008) studies.…”

Section: Discussioncontrasting

confidence: 93%

“…This finding contradicts prior studies that suggest system quality is the least important (Anggrainingsih et al, 2018;Jie, 2010). Nonetheless, this result is consistent with the majority of prior empirical studies (Anggrainingsih et al, 2016;Fitriastuti et al, 2019;Garg & Jain, 2017;Lukhayu Pritalia et al, 2018;Tseng et al, 2011). University lecturers perceive that the system quality should be tailored to the needs of learners.…”

Section: Discussioncontrasting

confidence: 44%

“…Instructors' characteristics, such as their responsiveness to learners' inquiries, technology control, and attitude toward students, are important to enhance the use of e-learning among instructors. Nevertheless, the finding is largely congruent on e-learning postadoption studies suggesting instructors' characteristics play a less significant role in e-learning postadoption (Anggrainingsih et al, 2016;Lukhayu Pritalia et al, 2018). One possible explanation is that the qualities of instructors are a result of the institution's service and system quality to which they were exposed (see dependencies in Fig.…”

Section: Discussionmentioning

confidence: 58%

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An information system success model for e-learning postadoption using the fuzzy analytic network process

et al. 2023

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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.

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Section: Discussioncontrasting

confidence: 93%

Section: Discussioncontrasting

confidence: 44%

Section: Discussionmentioning

confidence: 58%

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An information system success model for e-learning postadoption using the fuzzy analytic network process

et al. 2023

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“…(1/7, 1/5, 1/3) (3, 5, 7) Strongly Disagree (STS) (1/9, 1/7, 1/5) (5, 7, 9) Agree (S) (3,5,7) (1/7, 1/5, 1/3) Strongly Agree (SS) (5,7,9) (1/9, 1/7, 1/5)…”

Section: Triangular Fuzzy Scale (Reciprocal)mentioning

confidence: 99%

Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

2018

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Abstract.Recently almost all universities in the world have implemented E-learning to support their academic system. Previous studies have been conducted to determine CSF using Analytic Hierarchy Process (AHP) method. However, AHP method cannot handle the uncertainty and vagueness of the human's opinion, so then it causes less appropriate decision. Some researcher has proposed to use fuzzy sets theory with AHP to increase the ability of AHP to deal problem regarding the uncertainty/fuzziness. This study aims to determine ranks of priorities of the multiple factors which influence the E-learning success using FAHP method. The respondents consist of ten e-learning's experts, 305 lecturers, and 4195 students at Sebelas Maret University. The result describes similar success factors ranking between both experienced and nonexperienced user (lecturer and student). Then, the result shows that there are five most influencial success factors of e-learning at Sebelas Maret University based on the lectures perspective Financial Policy, Regulatory Policy, Course quality, Relevant Content and Technical Support. On the other hand, according to the student's point of view five most e-learning, critical success factors are Quality of Course, Relevant of Content, Completeness of Content, Attitudes toward Student, and Flexibility in taking Course. Therefore, this finding can be used by E-learning management of Sebelas Maret University to deteremine a strategy to to achieve successful implementation of e-learning at Sebelas Maret University with consider these factors.

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“…We conclude that the most effective CSFs that institutions need to achieve the highest rate of success is 'Technology' with all its similar applications or components. Such components include technology control [10], E-learning system development [10], technologies [10], training for computer literacy & E-learning systems [11], system quality [12], E-learning LMS/system, internet access, E-learning tools, blended learning, LMS/system, E-learning materials and E-learning model [8]. In addition to these are sub-factors, which are related to technology, followed by skills and competencies for using technology for both students and instructors.…”

Section: Discussionmentioning

confidence: 99%

Exploring Critical Success Factors Affecting E-Learning to High Schools' Students in Kuwait

Al-Qaoud¹,

Carruthers²,

Kamala³

et al. 2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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Recently, many institutions are seeking to identify critical success factors (CSFs) that affect E-Learning among their students in different educational systems. Critical success factors are activities and tasks that must be accomplished to satisfy ultimate success in a specific area. Exploring CSFs of students will assist students to achieve successful results based on their understanding and comprehension. Teachers are responsible for delivering information to students professionally; thus, they have to emphasize their strengths and promote them as well as addressing their weaknesses. This paper presents investigations and explorations of critical success factors (CSFs) that positively affect high school students in Kuwait to increase their creativity and innovation. This requires taking into consideration cultural, geographical and social aspects. Exploring critical success factors will contribute to attaining higher results of students' excellence and superiority, and will lead to the enhancement of high school students' learning and understanding of different subjects.

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Determining elearning critical success factor at sebelas maret university using Analytical Hierarchy Process (AHP)

Cited by 5 publications

References 4 publications

An information system success model for e-learning postadoption using the fuzzy analytic network process

An information system success model for e-learning postadoption using the fuzzy analytic network process

Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

Exploring Critical Success Factors Affecting E-Learning to High Schools' Students in Kuwait

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