This study aims to investigate how industry context (IC), gender composition and the presence of female role models (FRMs) influence women's engagement in decision-making within Uganda's logistics sector. It seeks to examine the key industry-level determinants that promote or hinder women's participation in leadership roles within this traditionally male-dominated environment.
A quantitative cross-sectional survey was conducted among 298 logistics professionals from private firms, industry associations and regulatory bodies. Data were analysed using Statistical Package for the Social Sciences for descriptive statistics and SmartPLS for structural equation modelling to test hypothesised relationships between the constructs.
Results reveal that a supportive IC, higher female representation and visible FRMs each have a significant positive effect on women's engagement in decision-making. Collectively, these factors enhance women's participation in strategic and leadership processes within the logistics industry.
The study is limited by its cross-sectional design and reliance on self-reported data, which may restrict causal inference and generalisability across other sectors and cultural contexts.
The demonstrated influence of gender-inclusive organisational structures and supportive ICs highlights the need for firms to integrate gender equity as a core strategic priority rather than a peripheral initiative. In practice, organisations that embed diversity and inclusion into recruitment, promotion and leadership development processes can foster more balanced decision-making teams and enhance organisational performance.
Fostering inclusive industry environments and promoting visible female leaders can challenge cultural biases, enhance gender equity and inspire future generations of women to pursue leadership careers.
This study extends institutional and critical mass theories to the logistics sector, providing empirical evidence on how structural, cultural and representational factors jointly shape women's engagement in decision-making in developing-country contexts.
