Cloud Record Maintenance in Technical Vocational Education Training Institutions in Kenya: A Case Study of Nyandarua Institute of Science and Technology

Abstract

This study aimed at determining the challenges of record maintenance at the Nyandarua Institute of Science and Technology. The specific objectives of the study were; to determine the effect of cloud network accessibility on record maintenance, to establish the effect of cost of cloud on record maintenance, to examine the effect of cloud shared infrastructure on record maintenance, and determine the effect of cloud network security on record maintenance at Nyandarua Institute of Science and Technology. This study involved 125 respondents drawn from the Institution. A mixed research design was used. The researcher used a census of all the teaching staff, HODs, and the administrative staff that added up to 125 respondents. Content and construct validity were done by administering questionnaires to 10 respondents in the Nyeri Technical Institute. The Cronbach alpha coefficients were obtained from the SPSS to determine the internal consistency of the questionnaire in measuring the cost-effectiveness, data security, shareability, and accessibility of the cloud technology. The scores of the alphas were network accessibility α = .809, Cost of Cloud α=.788 and Shared infrastructure α = .756 and Network security α = .789 which were all over 0.7 and were sufficient confirmation of data reliability for the independent variables. Data collected was compiled, sorted, edited, classified, and coded in readiness for analysis. It was analyzed using the SPSS software. The relationship between variables was established through correlation analysis. The regression analysis and ANOVA were used to test the significance of the independent variables on record maintenance. The response rate was 92% since 115 out of 125 questionnaires were received and used for analysis. The mode explained 75.7% of the variations in record maintenance The model fit was significant for the data since the F-value was 33.752 at p= .0051which was significant since p was less than 0.05 with 111 degrees of freedom which implies that Network accessibility, Cloud Cost, Shared infrastructure and network security have a significant, combined effect on record maintenance. Therefore, the study stated that cloud technology has a significant effect on record maintenance at the Nyandarua Institute of Science and Technology. Analysis of regression model coefficients was carried out and the results showed a positive constant of 2.875 The constant and all the independent variables were significant since their p-values were all less than 0.05. The study concluded that cloud technology will facilitate record maintenance. The study recommends that cloud network accessibility; cloud cost, cloud shared infrastructure, and cloud network security contribute significantly to cloud record maintenance.