Acceptance of learning management system in university students: an integrating framework of modified UTAUT2 and TTF theories
Abstract
The purpose of this study is to explore the unused (behavioural and technological) scopes of learning management system acceptance by succeeding an extra inclusive method to address learning management intention adoption. CFA and SEM analyses have been used to examine the data gathered from university students. The study attempts to investigate the part of technological variables in explaining behavioural intention of individuals to adopt learning management by integrating two pre-established frameworks of UTAUT2 (modified) and TTF. The empirical outcomes proven the significant impact of task (TAC) and technology characteristics (TEC) in simplifying task technology fit (TTF). The outcomes of this study also support the significant relationship of task technology fit (TTF) and facilitating condition (FC) with intention to adopt learning management system. The current study offers an all-inclusive method to explain the acceptance of learning management system by joining two recognised theories of technology acceptance. The strength of current study is based on combining behavioural and technological features of learning management system. The explanatory power of our research model suggests the very best explanatory power that described 60.1% of the behavioural intention to adopt learning management.
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The TTF model has been widely researched to examine the adoption of technology in areas like healthcare, big data, banking and finance, and training management systems.
“The TTF model has been widely researched to examine the adoption of technology in areas like healthcare, big data, banking and finance, and training management systems (Tam and Oliveira, 2016; Sharif et al., 2019).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Sharif et al., 2019
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- Authors
- Sharif, A., Afshan, S., & Qureshi, M. A.
- Affiliations
- Universiti Utara Malaysia (MY)
- Venue
- International Journal of Technology Enhanced Learning
- Publisher
- Inderscience Publishers
- Published
- 2019
- Volume
- 11
- Issue
- 2
- Pages
- 201
- ISSN
- 1753-5255 (ISSN-L)
- 1753-5263
- OpenAlex
- W4231912669
- Cited by
- 64
- References
- 0
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 7 · 2023: 12 · 2022: 15 · 2021: 10 · 2020: 3 · 2019: 1
- FWCI
- 8.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Technology Enhanced Learning (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Social Sciences › Education › Online and Blended Learning
- Keywords
- virtual learning environments, technology acceptance, UTAUT2, task-technology fit, adoption intention, university students, facilitating conditions, technology characteristics, task characteristics, theoretical integration
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