Understanding black women opportunity entrepreneurs' networking behavior: navigating intersectionality in South Africa's entrepreneurial ecosystem
本研究通过定性方法，探讨南非黑人女性机会型创业者如何利用网络行为应对种族与性别的交叉性障碍，发现跨性别与跨种族关系、战略网络利用及心理韧性是关键主题。
Purpose Globally, black women entrepreneurs represent the fastest-growing group of entrepreneurs, driving significant economic and social impact. This research timely responds to calls aiming for varied research contexts and for investigating women entrepreneurs in non-Western contexts. This study examines networking within South Africa's entrepreneurial ecosystems (EEs) to contextualize theory across diverse cultural and socio-economic settings, thereby deepening understanding of the compounded barriers faced by black women entrepreneurs at the intersection of race and gender. Design/methodology/approach A qualitative research design was adopted to explore individual experiences while identifying patterns and connections that can enhance our understanding of black women's networking behavior to navigate the EEs in South Africa. Findings The study's findings reveal three unique themes which contribute to women's proactive networking behavior, involving cross-gender and cross-race relations. Furthermore, we learn how black women entrepreneurs exploit strategic networking opportunities to grow their tech ventures and navigate intersectionality through resilience of being part of a minority group. Research limitations/implications EE actors should deliberately introduce allyship programs to enhance black women's position and belonging in various settings through, e.g. mentorship and training programs. Policymakers in other countries could gain key insights from the South African Broad-Based Black Economic Empowerment (BBBEE) policy, which positively influence women entrepreneurs' position in EEs. Originality/value Our study links the Intersectionality Theory with Social Network Theory. Previous studies considered gender and networking behavior, without referring to the intersection between gender and race and how this intersection might influence networking behavior.