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International Journal of Management and Leadership
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International Journal of Management and Leadership Studies
2026; 6(ii): 115-128
ISSN: 2311 7575
TECHNOLOGICAL INNOVATION AND RESOURCE ALLOCATION AS DRIVERS OF STRATEGIC ASSET MANAGEMENT IN KENYA'S ELECTRICITY TRANSMISSION SECTOR: EVIDENCE FROM KETRACO
Calistus Wangila Wasike, John Cheluget
Published: 01 November, 2026 Volume: 6 Issue: ii
Keywords: High-voltage transmission, KETRACO, resource allocation, strategic asset management, technological innovation
This study examined the influence of technological innovation and resource allocation on strategic asset management of high-voltage transmission lines and substations at the Kenya Electricity Transmission Company Limited (KETRACO). The study was drawn from a broader investigation of the determinants of strategic asset management and focused on the two factors that emerged as the strongest predictors of asset management performance. A mixed-methods design was adopted, targeting all 180 Operations and Maintenance personnel involved in high-voltage transmission asset management through a census approach. Quantitative data were collected using structured electronic questionnaires, while qualitative insights were obtained through focus group discussions. A total of 128 usable questionnaire responses were obtained, representing a 71.1% response rate. Descriptive statistics, Pearson correlation and multiple regression analyses were conducted using SPSS Version 23, while qualitative data were analysed thematically. The findings indicated moderate-to-high adoption of technological innovations, particularly centralised asset management platforms (M = 3.70) and predictive and real-time monitoring technologies (M = 3.66), although cybersecurity and system integration remained comparatively weak (M = 3.38). Resource allocation was strongest in capital investment planning (M = 3.77), while regular training on emerging technologies recorded the lowest mean (M = 3.31). Technological innovation had a strong positive relationship with strategic asset management performance (r = .721, p < .01), as did resource allocation (r = .684, p < .01). In the broader multivariable model, technological innovation (β = .346, p < .001) and resource allocation (β = .312, p < .001) emerged as the two strongest predictors. The study concludes that KETRACO can enhance reliability, reduce downtime and strengthen lifecycle performance by accelerating digital asset management, predictive maintenance and cybersecurity while protecting operation and maintenance budgets and investing in technical workforce development.
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