vix.ing · top · new · best · stats · spec

Predicting Virtual Learning Environment adoption - A case study

2015/03/09 by Sonam Penjor, Penjor, Sonam, Pär‐Ola Zander +1
Computer Science · Decision Sciences · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Online and Blended Learning #Technology Adoption and User Behaviour #Virtual Reality Applications and Impacts

paper · pdf · doi:10.48550/arxiv.1503.02408

openalex publication_date 2015/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Purpose - To qualify the significance of Rogers' Diffusion of Innovations theory with regard to Virtual Learning Environments. To apply an existing Diffusion of Innovations instrument on a case organisation, the Royal University of Bhutan (RUB), in order to compare its results with previous findings. Descriptive statistics and logistic regression analysis were deployed to analyze adopter group memberships and predictor significance in Virtual Learning Environment adoption and use. Findings - The Diffusion of Innovations theory is not stable across organizations when it comes to predicting different user categories or the distribution of users. However, it was possible to achieve reliable results for virtual learning environments within a particular organization. Research limitations ND implications - The study questions scholarly attempts to establish models of this type across organizations. Practical implications - Professionals should be aware that cross-organizational generalizations from Diffusion Of Innovation findings within the domain of virtual learning environments may be very unreliable. Originality and value - The study challenges the massively cited Diffusion of Innovation literature. It provides data from Bhutan, which is underrepresented in empirical investigations.

Citations

Related