DOI : https://doi.org/10.18517/ijaseit.14.5.10955

Exploring the Application of ISSM and TTF Theories: A Literature Review

Hend Ali Musbah Jebril (1), Ummul Hanan Mohamad (2), Mohammad Nazir Ahmad (3)
(1) Infrastructure University Kuala Lumpur (IUKL), 43000, Kajang, Selangor, Malaysia
(2) Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
(3) Infrastructure University Kuala Lumpur (IUKL), 43000, Kajang, Selangor, Malaysia
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How to cite (IJASEIT) :
Jebril , Hend Ali Musbah, et al. “Exploring the Application of ISSM and TTF Theories: A Literature Review”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 5, Oct. 2024, pp. 1589-95, doi:10.18517/ijaseit.14.5.10955.
Citation Format :
The Information System Success Model (ISSM) and Task-Technology Fit (TTF) theories provide valuable frameworks for assessing how effectively technology supports tasks within a system. These models are widely recognized and have been applied separately in numerous studies. However, there has been limited effort in the existing literature to integrate ISSM and TTF into a cohesive framework. This study aims to (1) review the relevant literature applying ISSM and TTF in higher education settings, (2) determine which model is more frequently utilized, and (3) evaluate studies that have integrated both models, with a particular focus on digital libraries. The results indicate that most research has centered on theory development or practical real-world applications, especially in public universities. The integration of ISSM and TTF in digital library contexts remains relatively rare despite their potential to complement one another. ISSM assesses system success through dimensions like service quality, user satisfaction, and net benefits, while TTF focuses on how well the technology fits the tasks it is intended to support, making it highly relevant for evaluating digital services. This study contributes to a deeper understanding of how ISSM and TTF are applied, offering valuable insights for future research. It highlights the untapped potential of combining these models to enhance technology adoption, user satisfaction, and overall system performance in digital libraries and other educational settings. By identifying research gaps, this paper lays the groundwork for further exploration and refinement of these theoretical frameworks to improve technology implementation in education.

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