JOURNAL ARTICLE
WOMEN'S ENTREPRENEURIAL SUCCESS IN MOROCCO: BETWEEN TRANSITION AND PATRIARCHAL RESISTANCE.
Published In: Journal of Developmental Entrepreneurship, 2023, v. 28, n. 4. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: ELOTMANI, SAFAE; EL BOURY, MALAK 3 of 3
Abstract
This study explores entrepreneurial success among female entrepreneurs, a topic that is poorly investigated in the global South. After a literature review on the concept of women's entrepreneurial success and on the institutional, economic socio-cultural and familial context of Moroccan female entrepreneurs, results of a qualitative study involving female entrepreneurs based in urban areas, working across diverse industries, are described. Findings indicate that entrepreneurial success is defined by Moroccan female entrepreneurs through four different viewpoints: (1) entrepreneurial success through a company's financial standing, (2) self-assessed entrepreneurial achievements, (3) societal recognition of entrepreneurial success and (4) the evaluation of entrepreneurial success based on the benefits provided to others. The definition of entrepreneurial success is explored in line with the evolution of women's priorities and the evolution of Moroccan society. The findings and implications provide policy makers, practitioners and academics with a better understanding of female entrepreneurship and on how to enhance and support these entrepreneurs to increase economic growth. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Developmental Entrepreneurship. 2023/12, Vol. 28, Issue 4, p1
- Document Type:Article
- Subject Area:Women's Studies and Feminism
- Publication Date:2023
- ISSN:1084-9467
- DOI:10.1142/S1084946723500309
- Accession Number:175237783
- Copyright Statement:Copyright of Journal of Developmental Entrepreneurship is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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