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An unreliable supply of grid electricity has a strong negative impact on industrial and commercial profitability as well as on household activities and government services that rely on electricity supply. This unreliable grid electricity could be a result of technical and security factors affecting the grid network. Therefore, this study aims to investigate the effects of technical and security factors on the transmission and distribution of grid electricity in Uganda.

This study used the ordinary least squares (OLS) and autoregressive distributed lag (ARDL) models to examine the effects of technical and security factors on grid electricity reliability in Uganda. The study draws upon secondary time series monthly data sourced from the Uganda Electricity Transmission Company Limited (UETCL) government utility, which transmits electricity to both distributors and grid users. Additionally, data from Umeme Limited, the largest power distribution utility in Uganda, were incorporated into the analysis.

The findings revealed that technical faults, failed grid equipment, system overload and theft and vandalism affected grid electricity reliability in the transmission and distribution subsystems of the Ugandan power grid network. The effect was computed both in terms of frequency and duration of power outages. For instance, the number of power outages was 116 and 2,307 for transmission and distribution subsystems, respectively. In terms of duration, the power outages reported on average were 1,248 h and 5,826 h, respectively, for transmission and distribution subsystems.

This paper investigates the effects of technical and security factors on the transmission and distribution grid electricity reliability, specifically focusing on frequency and duration of power outages, in the Ugandan context. It combines both OLS and ARDL models for analysis and adopts the systems reliability theory in the area of grid electricity reliability research.

The purpose of this paper is to examine the mediating role of ecologies of innovation in the relationship between positive deviance (PD) and entrepreneurial networking among small and medium enterprises (SMEs) in Uganda.

A cross-sectional survey design using quantitative approach was employed in this study. Data were collected with the help of self-administrated questionnaires from 228 SMEs. Systematic sampling technique was used. Multiple regression data were analysed with the help of SPSS software.

The results indicated that ecologies of innovation partially mediate the relationship between PD and entrepreneurial networking. Besides, PD and entrepreneurial networking are significantly related.

The data were cross-sectional in nature, thus limiting monitoring changes in resources accessed from social networks by entrepreneurs over time.

Managers of SMEs and policy makers should pay more attention to the views of employees with divergent views, ecologies of innovation in creating a conducive environment for creativity and innovation among SMEs.

The study of PD, ecologies of innovation and entrepreneurial networking using complexity theory among SMEs in Uganda is a contribution to literature.