E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities
| Autor: | Amit Kumar Bhardwaj, Yuvraj Gajpal, Arunesh Garg, Lalit Garg |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Government
Knowledge management Higher education Vendor business.industry 05 social sciences 050301 education Developing country Context (language use) Competitive advantage Confirmatory factor analysis Computer Science Applications Biomaterials Mechanics of Materials Modeling and Simulation 0502 economics and business Technology acceptance model Electrical and Electronic Engineering business 0503 education 050203 business & management |
| Zdroj: | Computers, Materials & Continua. 66:2471-2492 |
| ISSN: | 1546-2226 |
| DOI: | 10.32604/cmc.2021.014099 |
| Popis: | In the COVID-19 pandemic situation, the need to adopt cloud computing (CC) applications by education institutions, in general, and higher education (HE) institutions, in particular, has especially increased to engage students in an online mode and remotely carrying out research The adoption of CC across various sectors, including HE, has been picking momentum in the developing countries in the last few years In the Indian context, the CC adaptation in the HE sector (HES) remains a less thoroughly explored sector, and no comprehensive study is reported in the literature Therefore, the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption (CCA) by HE institutions (HEIs) in India The scope of the study is limited to public universities (PUs) in India There are, in total, 465 Indian PUs and among these 304 PUs, (i e , 65% PUs) are surveyed using questionnaire-based research The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model (TAM), Technology-Organization-Environment (TOE), and Diffusion of Innovation (DOI) in the context of the HES This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling (SEM) and confirmatory factor analysis (CFA) The findings reveal that competitive advantage (CA), technology compatibility (TC), technology readiness (TR), senior leadership support, security concerns, government support, and vendor support are the significant contributing factors of CCA by Indian PUs The study contends that whereas the rest of the factors positively affect the PUs’ intention towards CCA, security concerns are a significant reason for the reluctance of these universities against adopting CC The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs Further, the study has given useful insights into the successful CCA by Indian PUs, which will facilitate eLearning and remote working during COVID-19 or similar outbreak |
| Databáze: | OpenAIRE |
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