Charles Too, Emily Bomett, Catherine Kiprop


Cloud computing technology is a distributed computing approach whereby users access shared resources under various service models through the internet. It allows individual access to information technology resources through the internet upon demand. Cloud computing is an essentially growing terminology in the IT world and has become increasingly present in the life of institutions of higher learning. Institutions of higher learning consider cloud computing and construction of digital content platforms as a way of enhancing resource utilization and improvement of service delivery. The sudden and frenzied rush for cloud computing by universities has been aggravated by exponential growth in data traffic and the need for innovative learning such as e-learning and virtual classrooms amid COVID 19 pandemic (Kenya Education Network-KENET, 2021). Perhaps it is from that realization and the need to adhere to COVID 19 protocols that most public universities in Kenya have adopted cloud computing. In this study, we sought to find out the critical success factors for adoption of cloud computing in public universities in Kenya. The study set out three (3) objectives and consequently three (3) null hypotheses to guide it. Quantitative research design was adopted for this study. Similarly, International Business Machines-IBM (2011) model for cloud adoption offered theoretical guidance. At a confidence interval of 95%, an online sample size calculator was used to arrive at three hundred and sixty two (362) respondents out of six thousand two hundred (6200) target population. Proportionate stratified random sampling technique and an online list randomizer were used to select respondents in the selected universities to participate in the study. Multiple regression was used to test the hypotheses in this study based on empirical data obtained by a survey questionnaire of thirty nine (39) questions from the two (2) public universities. Multiple regression results showed significant positive effect of Management Support (β=.257), Technical Support (β=.353), and User Preparedness (β=.475) on adoption of cloud computing at p<.05. Regression results gave a coefficient of determination R2=.908 which means 90.8% of the variation in adoption of cloud computing can be explained by Management Support, Technical Support, and User Preparedness combined. Based on the coefficient of determination (R2), the three null hypotheses (H01, H02, & H03) were rejected at p<0.05. Regression analysis showed that Management Support, Technical Support and User Preparedness are critical success factors in cloud adoption in public universities in Kenya. This study provides new and relevant insights to literature on cloud adoption in higher education service in Kenya.


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Alzahrani I, 2015. The Use of Cloud Computing in Higher Education: Reality, Expectation and Challenges.

Borgman H. P, Bahli B, Heier H, Schewski F, 2013. Cloud Rise: Exploring Cloud Computing Adoption and Governance with the TOE Framework. DOI 10.1109/HICSS.2013.132

Borse Y, Gokhale S, 2019. Cloud Computing Platform for Education System: A Review. International Journal of Computer Applications 177: 41-45

Cegielski C. G, Farmer L. A, Wu Y, Hazen B. T, 2012. Adoption of Cloud Computing Technologies in Supply Chains. The International Journal of Logistics Management 23: 184-211

Desai T, Patel R, Patel P, 2016. Cloud Computing in Education Sector. International Journal for Innovative Research in Science and Technology 2: 191-194

Gangwar H, Date H, Ramaswamy R, 2015. Understanding Determinants of Cloud Computing using an Integrated TAM-TOE Model. Journal of Enterprise Information Management 28: 1-31 DOI: 10.1108/JEIM-08-2013-0065

Government of Kenya, 2019. National Information Communications and Technology (ICT) Policy. Accessed on 5 August 2021

Ghanem B. M, 2019. Application of Cloud Computing in the Field of Education: Google Apps as an Example. International Journal of Advanced Research and Publications 3: 25-34

Kurelovic E. K, Rako S, Tomljavonic J, 2013. Cloud Computing in Education and Student’s Needs.

Makena J. N, 2013. Factors that Affect Cloud Computing Adoption by Small and Medium Enterprises in Kenya. International Journal of Computer Applications Technology and Research 2: 517-521.

Margianti E. S, Mutiara A. B, 2015. Application of Cloud Computing in Education. DOI: 10.13140/RG.2.1.3506.0247

Munguti S. N, Opiyo E, 2018. Factors Influencing the Adoption of Cloud Computing in Software Development Companies in Kenya. International Academic Journal of Information Systems and Technology 2: 126-144.

Mwavali A, 2021. A Framework for Cloud Computing Adoption by SMEs in Kenya. World Journal of Innovative Research 10: 111-117

O’Brien R. M, 2007. A Caution Regarding Rules of Thumb for Variance Inflation Factors.

Ogwel B, Otieno G, Otieno G. O, 2020. Cloud Computing by Public Hospitals in Kenya: A Technological, Organisational and Behavioural Perspective. International Journal of Scientific and Research Publications 10: 33-43

Omwansa T. K, Waema T. M, Omwenga B, 2014. Cloud Computing in Kenya: A 2013 Baseline Survey.

Onyango D. O, 2014. Using Cloud Computing in Higher Education: A Strategy to Address Trust Issues in Adoption of Cloud Services in Kenyan Public and Private Universities. MSc Thesis, University of Nairobi, Kenya.

Ramdani B, Kawelek P, 2007. SME Adoption of Enterprise Systems in North West of England. An Environmental Technological and Organisational Perspective. International Federation for Information Processing 235: 409-430.

Sekeran G, 2003. Case validity in research undertaking. Oxford University Press, Oxford

Tweel A, 2012. Examining the Relationship between Technological, Organisational and Environmental Factors and Cloud Adoption. Ph.D. Thesis, Northcentral University, San Diego.

Waga D, Makori, E, Rabah K, 2014. Utilisation of Cloud Computing in Education and Research to the Attainment of Millennium Development Goals and Vision 2030 in Kenya. Universal Journal of Educational Research 2: 193-199 DOI: 10.13189/ujer.2014.020212

Yigitbasioglu O, 2015. The Role of Institutional Pressures and Top Management Support in the Intention to Adopt Cloud Computing Solutions. Journal of Enterprise Information Management 28: 579-594



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