Exploring barriers affecting eLearning usage intentions: an NLP-based multi-method approach. Issue 5 (4th April 2022)

• Record Type: Journal Article
• Authors: Ray, Arghya; Bala, Pradip Kumar; Dwivedi, Yogesh K.
• Is Part Of: Behaviour & information technology. Volume 41:Issue 5(2022)
• Page Start: 1002
• Page End: 1018
• Publication Date: 2022-04-04
• Subjects: Barriers -- course value -- e-Learning -- multi-method approach -- trust -- payment risks; Electronic data processing -- Periodicals; Human engineering -- Periodicals; Information technology -- Periodicals; 303.4833
• DOI: 10.1080/0144929X.2020.1849403
• Languages: English
• ISSNs: 0144-929X

Abstract

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.