Cloud-Based E-Learning : Technology Suitability Analysis and Institutional Support

This study aims to explore the integration of the Expectation-Confirmation Model (ECM) and Task-Technology Fit (TTF) in understanding the sustainability of cloud-based e-learning in educational institutions. Using a qualitative literature review approach, this research examines relevant prior studies to analyze the relationship between task-technology fit, expectation confirmation, and users' continuance intention. The findings reveal that the alignment between e-learning technology features and users’ task needs significantly contributes to perceived usefulness and satisfaction, ultimately driving continuance intention. Additionally, external factors such as institutional support and system quality play crucial roles in sustaining usage. The integration of ECM and TTF provides a more comprehensive analytical framework to explain users' post-adoption behavior towards cloud-based e-learning.

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Publication Details

Journal
Indonesian Economic Review
Published
2024-08-30
DOI
https://doi.org/10.53787/iconev.v4i2.36
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Cloud-Based E-Learning : Technology Suitability Analysis and Institutional Support

Grace Yulianti, Benardi Benardi, Eka Wahyu Kasih
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Indonesian Economic Review
Big Data and Business Intelligence
article

Cloud-Based E-Learning : Technology Suitability Analysis and Institutional Support

Grace Yulianti, Benardi Benardi, Eka Wahyu Kasih
article en

Abstract

This study aims to explore the integration of the Expectation-Confirmation Model (ECM) and Task-Technology Fit (TTF) in understanding the sustainability of cloud-based e-learning in educational institutions. Using a qualitative literature review approach, this research examines relevant prior studies to analyze the relationship between task-technology fit, expectation confirmation, and users' continuance intention. The findings reveal that the alignment between e-learning technology features and users’ task needs significantly contributes to perceived usefulness and satisfaction, ultimately driving continuance intention. Additionally, external factors such as institutional support and system quality play crucial roles in sustaining usage. The integration of ECM and TTF provides a more comprehensive analytical framework to explain users' post-adoption behavior towards cloud-based e-learning.

Indonesian Economic ReviewVol. 4(2)
Universitas Patria Artha (ID)
Openalex Percentile: Top 49%
Big Data and Business Intelligence
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Cloud-Based E-Learning : Technology Suitability Analysis and Institutional Support — Grace Yulianti, Benardi Benardi, et al. · Indonesian Economic Review (2024) | TGRS Research Map | TGRS