Towards Understanding the Determinants of Employees' E -Learning Adoption in Workplace: A Unified Theory of Acceptance and Use of Technology (UTAUT) View

Jalal Sarabadani, Hamed Jafarzadeh and Mahdi ShamiZanjani
Additional contact information
Jalal Sarabadani: Department of IT, Faculty of Management, University of Tehran, Tehran, Iran
Hamed Jafarzadeh: Department of IT, Faculty of Management, University of Tehran, Tehran, Iran
Mahdi ShamiZanjani: Department of IT, Faculty of Management, University of Tehran, Tehran, Iran

International Journal of Enterprise Information Systems (IJEIS), 2017, vol. 13, issue 1, 38-49

Abstract: E-learning has been widely used as a prominent solution to provide on demand learning opportunities to reduce training time and cost. While e-learning acceptance has received a significant attention in academic/student domain, little research has been conducted in organizational setting. This paper aims to contribute to understanding the underlying factors which influence employees' intention towards using e-learning systems, through developing and proposing a conceptual research model based on one of the most comprehensive behavioral theory, the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed conceptual model first examines the native UTAUT constructs and then, by borrowing insight from other theories in the literature, expands the UTAUT theory to account for more context-specific e-learning factors in a workplace setting, namely, perceived organizational support, e-learning self-efficacy, perceived e-learning content quality and e-learning satisfaction. The paper also identifies directions for an empirical examination of the proposed research model in future.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEIS.2017010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:13:y:2017:i:1:p:38-49

Access Statistics for this article

International Journal of Enterprise Information Systems (IJEIS) is currently edited by Gianluigi Viscusi

More articles in International Journal of Enterprise Information Systems (IJEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().