Wireless network uptake and organizational performance of undevolved government ministries in Machakos Town, Kenya

Abstract

The world is in the midst of rapid, revolutionary and often disruptive technological breakthroughs. Advances in artificial intelligence, 3D printing and wireless networks are transforming institutions and societies, with unfolding and often unforeseen consequences. The wireless network revolution has transformed the organizations performance with unprecedented speed and scale, delivering real-time data. The general objective of this study was to establish the effects of Wireless Networks Uptake on Organizational Performance in the undevolved government ministries in Machakos town, Kenya. The study was guided by the following specific objectives; to determine influence of wireless networks accessibility, the rate of usage, staff skills and management support on organizational performance in the undevolved government ministries in Machakos town. To achieve the objectives, 96 respondents were selected and questionnaires issued. Pearson correlations and ordinal regression models were applied in data analysis and inferences. Based on the study findings, wireless network staff skills and the wireless network accessibility at the work places were the main influential factors that affected the undevolved governmental ministries rating performance significantly. Every extra skill on Wi-Fi was expected to increase the ministry’s ordered log-odds by 1.613 on average holding all the other factors constant. The staff who trained on Wi-Fi network were 5.018 times more likely to operate at a higher performance than those not trained, 66(71.74%) of respondents stated that, the wireless network usage enabled daily timely completion of tasks. Each of the predictor variable; the wireless network accessibility, Wi-Fi usage rate, Wi-Fi staff skills and the management support on wireless network utilizations had a positive relationship with the ministries’ performance with Pearson Correlation values of 0.199, 0.205, 0.263 0.063 respectively and the p-values (2-tailed) of 0.005, 0.025, 0.035 and 0.525 respectively. However, the management support was not significant at . The wireless network accessibility, Wi-Fi usage rate and the Wi-Fi staff skills were also significant predictors in the univariate ordinal regression analysis. However, in the multiple ordinal regression model only wireless network staff skills and the wireless network access variables were significant at Since staff training on Wi-Fi and its access featured as the principal driving force and central to effective and efficient duty performance, incorporation of wireless network skills in the curriculum of training institutions, induction manuals and provision of multiple channels and ample wireless network coverage within the work stations were recommended. Similar research but at different counties and institutions, to ascertain the results validity, reliability and the generalizability of the study was recommended for further research.