This paper uses a multi-dimensional perspective on social capital to investigate how a microfinance institution can enhance the social capital of poor entrepreneurs. Findings show that by creating an environment that encourages frequent meetings and interactions between borrowers, group-based microfinance facilitates the development of relational trust and expansion of the network size of micro-entrepreneurs. An increase in levels of structural and relational social capital, in turn, leads to numerous advantages in terms of the flow of a diversity of resources. Ensuring access to financial capital, creating an enabling environment that fosters structural and relational social capital, and providing training would constitute a much better approach to helping poor entrepreneurs.

Artificial intelligence and big data are increasingly being integrated into sustainable entrepreneurship practices. Yet, conventional literature often neglects to critically examine their economic, environmental, and social implications. We conducted a systematic literature review to understand when, how, and for whom artificial intelligence and big data in sustainable entrepreneurship generate value. Our findings suggest that the three dimensions of sustainability—economic, environmental, and social—should be examined through a tri‐level impact prism: the immediate efficiency or transparency gains firms report; the hidden or temporally deferred costs that accumulate; and—notably—the distributional consequences that determine who reaps the benefits and who inherits the burdens. Direct benefits can evolve into costs over time and, if neglected, may reinforce injustices that rebound and erode future gains. Whether the broader trajectory settles on the virtuous or vicious side of that loop depends on five boundary conditions: organizational capabilities, technological maturity, socio‐cultural values, sectoral and regulatory context, and temporal dynamics. Our study advances theory by extending the triple‐bottom‐line lens into a reflexive impact‐by‐cost framework—one that foregrounds rebound effects and justice considerations, injects power, path dependency, and distributional conflict into socio‐technical transition debates, and recasts contingency and dynamic capabilities theories around shifting cost and justice configurations.