CLOUD COMPUTING AND THE PERFORMANCE OF THE COUNTY GOVERNMENT OF NYANDARUA, KENYA

Aurelia Wanjiru Wangui, Dr. Yusuf Muchelule

Abstract


The general objective of the study was to investigate effect of cloud computing on the performance of the county government of Nyandarua, Kenya. The study’s specific objectives were to establish the influence of cloud technical skills on performance of the county government of Nyandarua, to assess the influence of cloud infrastructure on performance of the county government of Nyandarua. The study was informed by Innovation Diffusion Theory, Resource-Based View Theory, Institutional Theory, and System Theory. A correlational research design was employed in this study. The target population was 119 employees in ICT and public administration department from 5 sub counties in Nyandarua County Government namely; Ndaragwa, Ol Jororok, Ol Kalou, Kipipiri and Kinangop. Stratified and simple random sampling was used to select a sample size of 91 respondents. The study found that cloud computing significantly influenced the performance of the county government of Nyandarua. Specifically, cloud technical skills; cloud infrastructure; were found to have significant association with performance of the county government of Nyandarua. Further, all the independent variables (cloud technical skills, cloud infrastructure) were found to significantly influence performance of the county government of Nyandarua. The independent variables explained 80.3% of change in performance of the county government of Nyandarua. The study recommended training of employees on cloud computing and fully adoption of cloud computing to ensure improvement of service delivery by the county government. The study also suggested further studies on other factors related to cloud computing to ascertain 100% performance. The findings will be useful to county governments, scholars, and practitioners..


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https://doi.org/10.1016/j.ssaho.2020.100101

Received 1 September 2022; Received in revised form 27 September 2022; Accepted 12 October 2022

2590-2911/© 2022 The Authors. Published by Elsevier Ltd.

Social Sciences & Humanities Open 3 (2022) 100101


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