E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities
Source abstract
Abstract
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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Technology Adoption and User Behaviour · Organizational and Employee Performance · Blockchain Technology Applications and Security
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (96)
Show source-provided references
1. Attempts, successes, and failures of distance learning in the time of COVID-1910.1021/acs.jchemed.0c00717 ↗
2. Is COVID-19 the gateway for digital learning in mathematics education?10.30935/cedtech/7949 ↗
3. Virtual learning during the COVID-19 pandemic: A disruptive technology in graduate medical education10.1016/j.jacc.2020.04.015 ↗
4. Campus traffic and e-Learning during COVID-19 pandemic10.1016/j.comnet.2020.107290 ↗
5. The necessity of using cloud computing in educational system10.1016/j.sbspro.2014.07.440 ↗
6. Cloud computing in support of supply chain information system infrastructure: Understanding when to go to the cloud10.1111/j.1745-493x.2012.03287.x ↗
7. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors10.1016/j.im.2014.03.006 ↗
8. Factors influencing cloud computing adoption by small and medium-sized enterprises (SMEs) in India10.17705/1pais.09302 ↗
9. K.Costello and M.Rimol, “Gartner forecasts worldwide public cloud revenue to grow 17% in 2020,” Gartner Press Release, 2019. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2019-11-13-gartner-forecasts-worldwide-public-cloud-revenue-to-grow-17-percent-in-2020.
10. MarketsandMarkets Research Private Ltd., “Report Code: 1228, Cloud Computing Market by Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), Deployment Model (Public and Private), Organization Size, Vertical, and Region - Global Forecast to 2025,” 2020. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/cloud-computing-market-234.html.
11. Cloud computing for education: A new dawn?10.1016/j.ijinfomgt.2009.09.004 ↗
12. Student perceptions of cloud applications effectiveness in higher education10.1016/j.jocs.2016.12.007 ↗
13. MarketsandMarkets Research Private Ltd., “Report Code: 2598, Cloud Computing in Education Market by Service Model, Deployment Model, User Type & Region-Global Forecast to 2021,” 2016. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/cloud-computing-education-market-17863862.html.
14. The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward10.1016/j.tele.2018.10.007 ↗
15. Massive centralized cloud computing (MCCC) exploration in higher education
16. Adoption of cloud computing by higher education institutions in Maharashtra India: An investigative study
17. Cloud computing adoption in higher education institutions: A systematic review10.1109/ACCESS.2019.2916234 ↗
18. An integrated TOE–DoI framework for cloud computing adoption in the higher education sector: Case study of Sub-Saharan Africa, Ethiopia
19. The World Bank, India. 2019. [Online]. Available: https://data.worldbank.org/country/india.
20. IBEF, “Education Sector in India- Industry Report. 2020. [Online]. Avaialble: https://www.ibef.org/industry/education-sector-india.aspx#login-box.
21. UGC, “Consolidated List of all Universities in India as on 01.02.2020,” 2020. [Online] Available: https://www.ugc.ac.in/oldpdf/Consolidated%20list%20of%20All%20Universities.pdf.
22. All India Survey on Higher Education 2018-19 · 2019
23. S.Manasi, “Gartner forecasts public cloud services revenue in India to grow by 24% in 2020.” Gartner Press Release, 2019. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2019-06-18-gartner-forecasts-public-cloud-services-revenue-in-in0.
24. Factors affecting cloud computing adoption in the Indian school education system10.1007/s10639-019-09878-3 ↗
25. Mell · The NIST Definition of Cloud Computing · 2011
26. PaaS Primer: What is platform as a service and why does it matter
27. Cloud computing: A study of infrastructure as a service (Iaas)
28. Erl · Cloud Computing: Concepts, Technology, & Architecture · 2013
29. The usage and adoption of cloud computing by small and medium businesses10.1016/j.ijinfomgt.2013.07.001 ↗
30. Understanding the determinants of cloud computing adoption10.1108/02635571111161262 ↗
31. Capturing the complexity in advanced technology use: Adaptive structuration theory10.1287/orsc.5.2.121 ↗
32. Application of social cognitive theory to training for computer skills10.1287/isre.6.2.118 ↗
33. An evaluation framework for health information systems: Human, organization and technology-fit factors (HOT-fit)10.1016/j.ijmedinf.2007.08.011 ↗
34. Task-technology fit and individual performance10.2307/249689 ↗
35. Belief, attitude, intention and behavior: An introduction to theory and research10.2307/2065853 ↗
36. A knowledge-based theory of inter-firm collaboration10.5465/ambpp.1995.17536229 ↗
37. Tornatzky · The Process of Technology Innovation · 1990
38. Rogers · Diffusion of Innovations · 1962
39. F. D.Davis,Jr, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,” Doctoral dissertation, MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, USA, 1986.
40. A theoretical extension of the technology acceptance model: Four longitudinal field studies10.1287/mnsc.46.2.186.11926 ↗
41. Technology acceptance model 3 and a research agenda on interventions10.1111/j.1540-5915.2008.00192.x ↗
42. User acceptance of information technology: Toward a unified view10.2307/30036540 ↗
43. Cloud computing adoption by SMEs in the north east of England10.1108/17410391311325225 ↗
44. Cloud computing: Adoption issues for Sub-Saharan African SMEs10.1002/j.1681-4835.2014.tb00439.x ↗
45. Understanding determinants of cloud computing adoption using an integrated TAM-TOE model10.1108/JEIM-08-2013-0065 ↗
46. Understanding the mediation effect of cloud computing adoption in Indian organization: Integrating TAM-TOE- risk model10.4018/IJSSMET.2017070103 ↗
47. Exploring the impact of cloud computing adoption on organizational flexibility: A client perspective
48. Espadanal · The 7th Mediterranean Conf. on Information Systems, MCIS 2012. Short Paper Proc. · 2012 · 30
49. An empirical analysis of factors influencing internet/e-business technologies adoption by SMEs in Canada10.1142/S0219622011004543 ↗
50. Understanding determinants of cloud computing adoption using an integrated diffusion of innovation (DOI)-technological, organizational and environmental (TOE) model10.18510/hssr.2020.8115 ↗
51. Cloud computing for higher education institutes: Architecture, strategy and recommendations for effective adaptation10.1016/S2212-5671(14)00224-X ↗
52. Hugos · Business in the Cloud: What Every Business Needs to Know about Cloud Computing · 2010
53. Truong · Cloud Computing for Teaching and Learning: Strategies for Design and Learning · 2012 · 6410.4018/978-1-4666-0957-0.ch005 ↗
54. A review of factors that affect cloud computing adoption
55. Cloud computing in developing economies10.1109/MC.2010.212 ↗
56. A study on user adoption of cloud storage service in China: A revised unified theory of acceptance and use of technology model
57. The role of trust and risk perceptions in cloud archiving—Results from an empirical study10.1016/j.hitech.2014.07.008 ↗
58. Effects of security and privacy concerns on educational use of cloud services10.1016/j.chb.2014.11.075 ↗
59. Cloud computing adoption by higher education institutions in Saudi Arabia: An exploratory study10.1007/s10586-015-0490-4 ↗
60. Conceptualizing a model for adoption of cloud computing in education10.1016/j.ijinfomgt.2015.11.010 ↗
61. Investigating the structural relationship for the determinants of cloud computing adoption in education10.1007/s10639-015-9376-6 ↗
62. Cloud computing: A general user’s perception and security awareness in Malaysian polytechnic10.1007/978-3-319-17398-6_12 ↗
63. Cloud computing issues for higher education: Theory of acceptance model10.3991/ijet.v12i11.7473 ↗
64. Cloud computing adoption at higher education institutions in developing countries: A qualitative investigation of main enablers and barriers10.18178/ijiet.2017.7.12.996 ↗
65. Cloud computing software and solutions for libraries: A comparative study10.1080/15424065.2014.1003479 ↗
66. Empirical studies of cloud computing in education: A systematic literature review
67. Rogers · Diffusion of Innovations · 2003
68. Ajzen · Understanding Attitudes and Predicting Social Behaviour · 1980
69. Understanding the determinants of RFID adoption in the manufacturing industry10.1016/j.techfore.2010.03.006 ↗
70. Determining factors influencing the acceptance of cloud computing implementation10.1016/j.procs.2019.11.216 ↗
71. Developing an explorative model for SaaS adoption10.1016/j.eswa.2011.05.039 ↗
72. Impact of cloud computing: Beyond a technology trend
73. Enterprise cloud computing: Key considerations for adoption
74. Factors affecting cloud computing adoption among universities and colleges in the United States and Canada
75. Adoption of e-commerce applications in SMEs10.1108/02635571111170785 ↗
76. The cloud transforms businesses
77. Cloudsourcing: Managing cloud adoption
78. What leads to post-implementation success of ERP? an empirical study of the Chinese retail industry10.1016/j.ijinfomgt.2009.09.007 ↗
79. Keen · Implementing Common Systems: One Organization’s Experience · 1981
80. Factors affecting the implementation success of Internet-based information systems10.1016/j.chb.2005.12.001 ↗
81. Risks in enterprise cloud computing: The perspective of IT experts10.1080/08874417.2013.11645649 ↗
82. Cloud computing as an innovation: Percepetion, attitude, and adoption10.1016/j.ijinfomgt.2012.04.001 ↗
83. Cloud adoption decisions: Benefitting from an integrated perspective
84. Towards the business–information technology alignment in cloud computing environment: An approach based on collaboration points and agents10.1080/0951192X.2011.592994 ↗
85. Cloud computing—The business perspective10.1016/j.dss.2010.12.006 ↗
86. Perceived usefulness, perceived ease of use, and user acceptance of information technology10.2307/249008 ↗
87. Adoption of security as a service10.1186/1869-0238-4-11 ↗
88. Structural equation modeling in practice: A review and recommended two-step approach10.1037/0033-2909.103.3.411 ↗
89. Hair · Multivariate Data Analysis with Readings · 1992
90. S. H.Lin and P. J.Hsieh, “Book Review: R.B. Kline, Principles and Practice of Structural Equation Modeling, 2nd ed, New York, USA: Guilford, 366 pp., $40.50 paperback, ISBN 978-1-57230-690-5,” Research on Social Work Practice, vol. 20, no. 1, pp. 126–128, 2009.10.1177/1049731509336986 ↗
91. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives10.1080/10705519909540118 ↗
92. Malhotra · Marketing Research: An Applied Orientation · 2012
93. Hair · Multivariate Data Analysis · 2006
94. Arbuckle · Amos 4.0 User’s Guide · 1999
95. Evaluating structural equation models with unobservable variables and measurement error10.1177/002224378101800104 ↗
96. Hair · Multivariate Data Analysis with Readings · 1998