The focus of this study is to investigate the major factors influencing entrepreneurial intent and behavior, by addressing the role of entrepreneurial education, business opportunity recognition, and the need for achievement. The research data were collected online using a self-administered questionnaire among 148 Moroccan women having completed an entrepreneurship training program. The data analysis using a PLS-SEM provided evidence of the positive impact of entrepreneurial education on entrepreneurial self-efficacy and PBC. Likewise, the findings supported the direct impact of subjective norms and entrepreneurial self-efficacy on entrepreneurial attitude. Furthermore, entrepreneurial attitude, business opportunity recognition, and the need for achievement were identified as predictors of entrepreneurial intent, leading to enhanced entrepreneurial behavior. These results highlight a number of useful practical recommendations for public policy-makers on how to stimulate and encourage entrepreneurship initiatives among women.

The purpose of the current study is to identify factors associated with women’s entrepreneurial success. By embracing social feminism theory, this study provides a well-rounded analysis of the individual, social, institutional, and economic factors that shape successful women’s business development in a patriarchal society within a Muslim and Arab country. Following the conceptual model development, data were obtained from 212 Moroccan women business owners using a web-based questionnaire. The results, based on structural equation modeling, revealed the positive and direct influence of individual factors on women entrepreneurs’ success, including the need for achievement, and risk-taking. Additionally, external factors, particularly government support, social support, and access to finance, were found to be an important determinant of the entrepreneurial success of Moroccan women. This study enriches the existing knowledge on the determinants of the entrepreneurial success of women in developing countries. It offers offer useful managerial implications for policymakers who should implement appropriate actions to promote gender equality, as well as foster an environment conducive to enabling Moroccan women to launch and develop their own businesses.

Type of the article: Research ArticleAbstractThe integration of artificial intelligence (AI) has profoundly transformed human resource management (HRM) from an administrative function into a strategic decision-making process, creating a critical need to balance algorithmic effectiveness with operational challenges. The purpose of this study is to explore the evolving integration of artificial intelligence within human resource management. This paper utilizes a bibliometric analysis using PRISMA reporting flow guidelines, analyzing data retrieved from the Scopus database for the period from 2015 to 2025. The results reveal an exponential expansion of scientific research over the decade. Out of an initial set of 2,949 publications, 622 relevant documents met the inclusion criteria and were analyzed using VOSviewer. Annual publications grew from nine articles in 2015 to 218 articles in 2025. The geographical distribution shows that India leads the field with 116 publications, followed by China (114) and the United States (98). Furthermore, the thematic mapping identifies nine distinct clusters, with AI and human resource management standing out as the primary domains experiencing transformation. The findings confirm that the field has become a consolidated, dynamic discipline, with strategic implications for organizations seeking to align technological efficiency with organizational justice, ethical considerations, and employee well-being.