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E-learning has gained much focus from educators and researchers, with many extolling e-learning over traditional learning. Despite this focus, implementation of e-learning systems often fails. The purpose of this paper is to consider a range of barriers, impacting the success of e-learning implementations, yet to the best of the authors’ knowledge no conceptual framework is able to consolidate existing research.

This paper undertook an in-depth review of literature concerning e-learning implementation barriers. Papers were extracted from established peer-reviewed journals and open sources. Articles not related to e-learning implementation barriers were discarded. A total of 259 papers were identified, published between 1990 and 2016. Hermeneutics and data-driven qualitative content analysis was used to define 68 unique barriers.

The 68 unique barriers were thematically grouped into four conceptual categories, i.e. Technology (T), Individual (I), Pedagogy (P), and Enabling Conditions (EC). These four categories led to the conceptualization of “TIPEC” framework, which highlights the key concepts hindering e-learning implementation and delivery. Results show that most articles only consider a narrow range of success barriers.

The proposed TIPEC framework acts as a guide for education practitioners, system developers, policy makers, and researchers. It provides stakeholders with a summary of e-learning barriers.

This paper fulfils an identified need for a conceptual framework that consolidates all current research related to e-learning implementation barriers.

Coronavirus disease 2019 (COVID-19) has had global repercussions on use of e-learning solutions. In order to maximise the promise of e-learning, it is necessary for managers to understand, control and avoid barriers that impact learner continuance of e-learning systems. The technology, individual, pedagogy and enabling conditions (TIPEC) framework identified theoretical barriers to e-learning implementation, i.e. grouped into four theoretical concepts (7 technology, 26 individual, 28 pedagogy and 7 enabling conditions). This study validates the 26 theoretical individual barriers. Appreciating individual barriers will help the e-learning implementation team to better scope system requirements and help achieve better student engagement, continuation and ultimately success.

Data were collected from 344 e-learning students and corporate trainees, across a range of degree programs. Exploratory and confirmatory factor analysis was used to define and validate barrier themes. Comparison of results against the findings of Ali et al. (2018) allows comparison of theoretical and validated compound factors.

Results of exploratory and confirmatory factor analysis combined several factors and defined 16 significant categories of barriers instead of the 26 mentioned in the TIPEC framework.

Individual learner barriers, unlike technology and pedagogy barriers which can be directly identified and managed, appear abstract and unmanageable. This paper, considering implementation from the learner perspective, not only suggests a more simplified ontology of individual barriers but presents empirically validated questionnaire items (see Appendix) that can be used by implementation managers and practitioners as an instrument to highlight the barriers that impact individuals using e-learning factors. Awareness of individual barriers can help the content provider to adapt system design and/or use conditions to maximize the benefits of e-learning users.