Exploring barriers affecting eLearning usage intentions: an NLP-based multi-method approach

Arghya Ray · Pradip Kumar Bala · Yogesh Kumar Dwivedi

34 citations0/0 files storedBehaviour and Information Technology

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Online and Blended Learning Online Learning and Analytics

Abstract

With online-learning becoming the new mode of learning, providers need to understand the barriers that learners face. The objective of this study is to utilise a multi-method approach to examine the barriers that affect learner’s intention to use e-Learning services. The multi-method approach consists of qualitative semi-structured interviews of 8 participants, topic-modelling on 3227 reviews from Coursera dataset and 463 responses from an online survey for quantitative analysis. The interviews revealed themes like ‘rigid-course-structure’, ‘complexity’, ‘quality-of-facilitator’, and ‘value-addition’. The topic-modelling approach extracted themes like, ‘technique-of-teaching’, ‘language-of-speaker’, ‘course-content’, ‘privacy’, ‘payment-issues’, etc. The empirical study revealed that value [course-content (‘course-content’, ‘value-addition’) and facilitator-issues (‘quality-of-facilitator’, ‘handling-of-queries’)], tradition [trust (‘privacy concerns’, ‘authenticity’, ‘reliability’)] and risk [payment issues (‘payment-failures’, ‘refund issues’)] barriers have a notable negative impact on usage-intention. The originality of this works lies in the fact that it explores payment-failure, facilitator-quality, and course-value affecting the acceptance of e-Learning services from the innovation-resistance-theory stance utilising data from various sources (qualitative data from interviews and online reviews and quantitative survey-based data). This work has also discussed different limitations in this study and scope for future research.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 34 citations exist upstream.

References

1985Naturalistic inquiry 2007Designing and Conducting Mixed Methods Research 2003Research Methods for Business Students 2009Research Design: Qualitative, Quantitative, and Mixed Methods Approaches 1998Transforming Qualitative Information: Thematic Analysis and Code Development 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation 1983The diffusion of innovations 2013Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

Cited by

2023Is the information on green hotel websites aligned with the drivers affecting customers’ intention to visit green hotels? A mixed-methods approach 2024Exploring the Impact of Technology Readiness and Innovation Resistance on User Adoption of Autonomous Delivery Vehicles 2024Exploring enablers and inhibitors of AI‐enabled drones for manufacturing process audits: A mixed‐method approach 2022Use of Latent Dirichlet Allocation and Structural Equation Modeling in Determining the Factors for Continuance Intention of Knowledge Payment Platform

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.