MANAGEMENT INFORMATION SYSTEMS CAPABILITIES AND ORGANIZATIONAL PERFORMANCE OF KENYA ELECTRICITY GENERATING COMPANY
Pauline Kwamboka Onyiego - Master of Business Administration Student, Department of Management Science School of Business, Economics and Tourism, Kenyatta University, Kenya
Dr. Josphat Kyalo (PhD) - Lecturer, Department of Management Science, School of Business, Economics and Tourism, Kenyatta University, Kenya
ABSTRACT
Enhancing company performance is crucial for the Kenya Electricity Generating Company (KenGen) to maintain competitiveness, operational efficiency, and effective resource utilization in the dynamic energy sector. Despite the potential benefits, KenGen faces challenges in leveraging the capabilities of its management information systems (MIS) to optimize performance. This research analyzes four core MIS dimensions; data analytics, digital power generation, information storage, and digital communication and their contribution to performance outcomes. Guided by the Technology Acceptance Model (TAM), the Resource‑Based View (RBV), and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study employs a descriptive research design. Primary data was gathered through a structured questionnaire distributed to 85 KenGen employees drawn from operations, ICT, finance, strategy, and projects departments; 83 responses were analyzed (97% response rate). The data collected was analyzed using descriptive and inferential statistics, including multiple regression analysis, with SPSS v25 and all ethical considerations were duly followed. The findings disclosed that data analytics (β = 0.425, p = 0.002) and digital power generation (β = 0.294, p = 0.005) significantly enhance organizational performance, whereas information storage (β = 0.109, p = 0.390) and digital communication (β = 0.096, p = 0.537), though positive, are statistically insignificant. These findings confirm that data‑driven decision‑making and digitized generation systems play a decisive role in improving efficiency and profitability. The study recommends that KenGen adopt a holistic MIS integration strategy emphasizing advanced analytics, smart‑grid digitalization, and cross‑functional system connectivity to sustain competitiveness and operational excellence.