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Abstract(s)
Purpose – This study explores the antecedents, decisions and outcomes associated with mumpreneurship. It also reviews the primary theories, contexts and methodologies used in the existing literature on the subject. In addition, this study aims to identify potential future research directions in this field.
Design/methodology/approach – A systematic literature review (SLR) was conducted following the PRISMA 2020 protocol and the ADO-TCM framework. A total of 57 articles from the Scopus and Web of Science databases were analyzed. R software was used for performance analysis and science mapping.
Findings – The antecedents-decisions-outcomes (ADO) framework identified 233 factors grouped into 12 antecedent categories, 2 decisions and 4 outcomes. Antecedents include work-related issues, professional aspects, information and communication technologies, motherhood and childcare, family support, personal aspects, autonomy, independence and flexibility. In addition, financial dimensions, gender issues, societal and community impacts and the identification of entrepreneurial opportunities are integral to the antecedents. Mumpreneurs often start businesses despite challenges. Outcomes include income generation, business expansion, work–family balance and personal well-being. The theorycontext-methodology (TCM) framework highlights a reliance on empirical research, especially qualitative studies, mainly in highly developed countries.
Originality/value – This review holds significant theoretical and practical value regarding mumpreneurship.
The findings of this research could facilitate the development of programs that aim to foster and promote mumpreneurship through the involvement of various stakeholders, which has noteworthy practical implications for enhancing economic empowerment.
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Keywords
Mumpreneurship Mumpreneurs Systematic literature review Framework-based review Antecedents-decisions-outcomes (ADO) Theory-context-methodology (TCM) ADO-TCMframework Entrepreneurship Mothers Bibliometric analysis Performance analysis Science mapping
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