E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities

被引:26
作者
Bhardwaj, Amit Kumar [1 ]
Garg, Lalit [2 ]
Garg, Arunesh [1 ]
Gajpal, Yuvraj [3 ]
机构
[1] Thapar Inst Engn & Technol, LM Thapar Sch Management, Dera Bassi, Punjab, India
[2] Univ Malta, Fac Informat & Commun Technol, MSD-2080 Msida, Malta
[3] Univ Manitoba, Asper Sch Business, Supply Chain Management, Winnipeg, MB, Canada
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2021年 / 66卷 / 03期
关键词
Cloud computing; higher education institutions; public universities; adoption techniques; TAM; TOE; DOI; structural equation modeling (SEM); HIGHER-EDUCATION INSTITUTIONS; TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; DETERMINANTS; SMES; FIT; PERSPECTIVE; SECURITY;
D O I
10.32604/cmc.2021.014099
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:2471 / 2492
页数:22
相关论文
共 93 条
  • [51] Keen P. G. W., 1981, IMPLEMENTING COMMON
  • [52] Klug W., 2015, Issues in Information Systems, V16, P1
  • [53] Cloud Computing in Developing Economies
    Kshetri, Nir
    [J]. COMPUTER, 2010, 43 (10) : 47 - 55
  • [54] Kumar D, 2017, PAC ASIA J ASSOC INF, V9, P25
  • [55] Factors affecting the implementation success of Internet-based information systems
    Lee, Sangjae
    Kim, Kyoung-jae
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2007, 23 (04) : 1853 - 1880
  • [56] Towards the business-information technology alignment in cloud computing environment: an approach based on collaboration points and agents
    Li, Qing
    Wang, Cheng
    Wu, Jing
    Li, Jun
    Wang, Ze-Yuan
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2011, 24 (11) : 1038 - 1057
  • [57] Cloud computing as an innovation: Percepetion, attitude, and adoption
    Lin, Angela
    Chen, Nan-Chou
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2012, 32 (06) : 533 - 540
  • [58] Lin S. H., 2009, RES SOCIAL WORK PRAC, V20, P126
  • [59] Understanding the determinants of cloud computing adoption
    Low, Chinyao
    Chen, Yahsueh
    Wu, Mingchang
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2011, 111 (07) : 1006 - 1023
  • [60] MarketsandMarkets Research Private Ltd, 2020, REP COD 1228 CLOUD C