PurposeDespite the increase in female entrepreneurship literature, very few studies exist that systematize the extant literature, especially in emerging and developing countries. This article fills part of this gap; it maps, categorizes and groups the objectives, theoretical approaches and research methods on female entrepreneurship conducted in one or more of the 155 emerging and developing countries.Design/methodology/approachA systematic literature review (SLR) was conducted, using Scopus and Web of Science, over a 10-year timeframe (2010–2020). Out of 465 papers, 77 were selected for content analysis.FindingsMost articles focus on understanding women entrepreneurs' challenges, the factors affecting their entrepreneurial performance and encouraging entrepreneurship. Qualitative research was found to be the predominant approach, while mixed studies appeared less frequently.Practical implicationsThis paper sheds light on female entrepreneurship characteristics, including business competence, performance and entrepreneurial orientation. Further, it can help female entrepreneurs to recognize the most relevant aspects regarding performance, the essential driving factors and entrepreneurial motivations, among others.Originality/valueFirst, this paper groups the objectives and the theoretical and methodological approaches that guide female entrepreneurship research. Second, it identifies distinct gaps, grouped and explored using unpublished thematic categories. Finally, the authors propose an extensive future research agenda regarding female entrepreneurship in emerging and developing countries.

Purpose Women entrepreneurs face several challenges in creating and running ventures, especially in emerging and developing countries. In this sense, by aiming to generate inputs capable of helping overcome them, this study aims to categorize the policy, managerial and practical implications of articles whose empirical research was in one or more of the 155 emerging and developing countries. Further, although scholars have addressed female entrepreneurship in developed economies, there is scant literature in the context explored here. This article provides suggestions for new studies, helping academics fill gaps in the literature. Design/methodology/approach This article adopts a systematic literature review approach, performing content analysis and bibliometric description for the sample. The study comprises 77 articles selected from the Scopus and Web of Science databases. Findings Research concentrates on Asian countries, with lower incidences in Latin America and Africa. The policy implications focus mainly on the executive rather than legislative spheres. The practical implications focus mainly on entrepreneurial development agencies and women entrepreneurs. Among the suggestions for novel studies, those focusing on methodological choices and female enterprises stand out. Practical implications This paper maps and categorizes the policy, managerial and practical implications, helping to raise governments’, policymakers’ and practitioners’ awareness of the preferred strategies to overcome the challenges of female entrepreneurship. Originality/value This paper emphasizes reflections of mutual interest to researchers, policymakers and practitioners, filling gaps in studies that prioritize an academic audience. Regarding the academic audience, this paper contributes to innovatively categorizing suggestions for future research and building an extensive research agenda capable of guiding research in this area.

Purpose Embeddedness has gained prominence in entrepreneurship studies. However, the notion that the embeddedness metaphor relates to “market” structures prevails in studies in the area. Entrepreneurship scholars still know little about whether entrepreneurs are eventually embedded in other structures whose relationships go beyond the restricted dimension of the interested actor’s assumption. This study aims to propose investigating the social structures in which a specific type of entrepreneurship, the religious one, is embedded. Design/methodology/approach The research was qualitative, using interviews as an evidence collection instrument. A total of 17 entrepreneur-pastors responsible for business churches in Brazil and eight parishioners took part in the study. Findings Religious entrepreneurs are embedded in market structures, corroborating a perspective that associates embeddedness with the utilitarian notion. At the same time, entrepreneurs are embedded in two other social structures: reciprocity and redistribution. Practical implications This article emphasizes the relevance of going beyond the predominant perspective associated with the utilitarian and rationalized understanding of embeddedness in relationship networks. Originality/value This study makes essential contributions. Initially, it attests to the utilitarian perspective of Granovetter’s embeddedness while suggesting incorporating two other dimensions into the metaphor. By highlighting this, this article stresses the need to reinterpret the metaphor of embeddedness and how entrepreneurship scholars use it. Further, by emphasizing the need to consider embeddedness in networks beyond its still utilitarian perspective, this paper highlights unexplored opportunities for entrepreneurship scholars.

This study presents a Systematic Literature Review (SLR) of Gender Bias in Artificial Intelligence (AI). The research was conducted using two techniques: a domain-based approach to SLR process providing a bibliometric sample description and in-depth examination of the thematic categories arising from inductive categorization, extracted from reading and interpretation of the final 35 sample articles analyzed. In answering three key research questions on the types, causes, and overcoming (mitigating) strategies of gender bias in artificial intelligence, three thematic treemaps were constructed, enabling systematic overview as an essential contribution to the literature. The main types of gender bias found in AI are categorized as societal, technical, and individual. Societal and socio-technical aspects stand out as the leading causes of bias, while debiasing, dataset design and gender sensitivity were the most frequent among the main strategies for overcoming bias. The study also proposes theoretical, practical and managerial capacity building and policy implications that aim to influence broad socio-technical challenges and refer to changes necessary, aiming to create bias-free artificial intelligence.