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This study aims to identify both intrinsic and extrinsic factors motivating rural women to participate in entrepreneurial activities in Oman. Specifically, it seeks to clarify which pull and push factors influence their decisions to engage in entrepreneurship.

Quantitative research was conducted with a sample of 183 women entrepreneurs in rural areas of Oman. Structural equation modelling (SEM) using SmartPLS software was employed to test the research hypotheses.

The results of the research highlight the positive impact of external motivations, such as financial needs and dissatisfaction with current employment, on the entrepreneurial behaviour of rural women in Oman. These external factors play a significant role in prompting women to initiate their own projects. Additionally, the study reveals that attitudes, such as self-efficacy and the perception of social support, significantly influence women entrepreneurs' adoption of self-employment.

These findings offer valuable insights into the concrete incentives driving women’s entrepreneurship in rural Oman. Policymakers can utilize these insights to develop initiatives aimed at promoting the social empowerment of rural Omani women and facilitating their active participation in economic ventures, thereby contributing to Oman’s development.

This study presents a novel framework for enhancing women’s entrepreneurship, offering insights into the motivations and barriers influencing women's participation in rural areas of Oman. By addressing gaps in existing literature, it contributes to a deeper understanding of the entrepreneurial dynamics among rural women in Oman.

This study aims to examine the association between apprenticeship training and self-employment and how gender moderates the association.

Secondary data from the World Bank’s Skills Towards Employment and Productivity (STEP) survey on Ghana were analysed using a binary choice (logit regression) model. The STEP survey drew its nationally representative sample from the working-age population (15–64 years) in urban areas.

After controlling for several factors identified in the literature as determinants of self-employment, the results indicate that completing apprenticeship training increases the likelihood of being self-employed. However, women who have completed apprenticeship training are more likely to be self-employed than men.

By examining the moderating effect of gender on the association between apprenticeship training and self-employment, this study has offered new evidence that policymakers can use to promote self-employment, especially among women, to reduce the entrepreneurial gap between men and women.

This chapter addresses the intricacies and hurdles in female entrepreneurship within Romania, scrutinizing the often-indistinct lines among authentic entrepreneurship, self-employment, and fraudulent self-employment. It notably spotlights the unique challenges faced by women, stressing the necessity of educational initiatives, legislative backing, and precise policy development. Emphasizing the importance of thorough data gathering and research, the study seeks to deepen the understanding of the specific obstacles and opportunities present for female entrepreneurs. It provides a thorough overview of the status quo of women’s entrepreneurship, outlines the systemic challenges, and discusses potential empowerment and development strategies in this domain.

How does the interplay between entrepreneurship policies and both formal and informal gender equality affect women’s inclination towards self-employment in contrast to men?

This study introduces and validates a comprehensive multi-level model underpinned by symbolic interactionism, institutional theory, and the nuances of gendered institutions. Employing innovative analytical techniques and leveraging data from 66 countries, we scrutinize how formal and informal gendered institutional arrangements either inhibit or facilitate an environment favorable to women’s entrepreneurial activities.

Significantly, our research delves into the nuanced effects of specific entrepreneurship policies across diverse nations. While these policies can bridge the gendered resource gap, a profound understanding of broader gender dynamics is crucial for fostering an inclusive entrepreneurial landscape.

Our insights advocate for a more integrated approach to bolster women’s participation in entrepreneurship, thus furthering their socio-economic progression.

In a country that is marred by an excessively high unemployment rate, there is a need for policymakers to prioritise entrepreneurship in South Africa. The study aims to explore the determinants of self-employment among the youth in South Africa and in the process answer the following question: Who are the self-employed youths in South Africa?

Different potential predictors of self-employment empirically used in the literature were used in this study. A probit regression model was used with the binary self-employment variable as the dependent variable and a host of independent variables. A nationally representative survey consisting of youths was used in the analysis.

The findings show that financial literacy increases the odds of being self-employed. Secondly, the odds of being self-employed increase with age as mature people are expected to have gathered enough networks and wisdom over the years. Thirdly, being male decreases the odds of being self-employed. When it comes to education, the only category that statistically increases the odds of being self-employed compared with no schooling is the tertiary level of education. The other educational levels are all statistically insignificant. From a policy perspective, the government should promote self-employment by investing in financial literacy as well as increasing access to tertiary education among disadvantaged groups.

The study is one of the first, to the best of the authors’ knowledge, to examine the characteristics of the self-employed using a nationally representative survey in South Africa.

This paper explores the scope and impact of gender in the process of starting new businesses, with a particular focus on understanding how participation, motivations and outcomes differ between men and women entrepreneurs.

This paper utilizes data from the Global Entrepreneurship Monitor (GEM) and the Panel Studies of Entrepreneurial Dynamics (PSED). The GEM data provide a global overview, drawing from representative national samples across over 100 countries to assess the extent of business creation activity and gender participation globally. The longitudinal PSED data set provides information on the business creation process and outcomes.

Over the last 20 years, the presence of women in the early stages of starting a business in the United States of America has seen a notable increase, doubling their representation among entrepreneurs and nearing parity with men, who also saw growth but at a slower rate. This shift marks a significant move towards greater gender balance in the entrepreneurial landscape.

The originality of this paper lies in its comprehensive analysis of the evolving landscape of gender dynamics within entrepreneurship over two decades, particularly highlighting the significant increase in women's participation in business creation.

Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.

To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.

The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.

This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.

The paper identifies the influence of socio-economic factors and livelihood training in stimulating micro-entrepreneurship among women self-help group (SHG) members.

The study is based on a sample of 416 women SHG members drawn from all the four districts of Sikkim using cluster sampling procedure. A multivariate binary logistic model is used to find the impact of socio-economic factors, and a Poisson regression has been used to find the impact of training on fostering micro-entrepreneurship. The result is validated using a propensity score matching approach which corrects for the potential self-selection bias in the sample. Subsequently, a covariate adjustment estimator verifies the robustness of the approach.

The study finds that “size of landownership”, “amount of loan borrowed”, “member's age”, “number of earning and dependent members”, “number of years of SHG enrolment” as well as the “district to which the member belongs to” have a statistically significant influence on the graduation of SHG members to micro-entrepreneurs. Furthermore, it is found that members attending the livelihood training programmes had a significantly higher number of microenterprises.

The study differentiates itself by providing empirical evidence on how socio-economic factors and livelihood training stimulate micro-entrepreneurship among SHG women of Sikkim, which has so far remained unexplored. Moreover, advanced econometric method has been used to eliminate the possible self-selection bias involved with training participation and thereby provides reliable and robust results.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0070

The study responds to the calls for multilevel approaches in entrepreneurship research and seeks to answer whether the relationships between personal values and entrepreneurship remain stable across different economic conditions, using the unemployment rate as a moderator. It pays attention to the solo self-employed and women, as these groups are particularly vulnerable when crises occur.

We use Schwartz's theory of human values, which has been understudied in entrepreneurship and follow a correlational research design with micro and macro variables. Multilevel logistic regression is applied to the data from the large sample of 151,032 individuals participating in six waves of the European Social Survey. Solo self-employed are distinguished from those employing others, and analyses are run separately for men and women to understand gender differences.

The findings show that self-direction and achievement are positively, and benevolence and security negatively related to entrepreneurship. The high unemployment rate lowers the positive relationships with self-direction and achievement and mitigates the negative relationship with security, but only for the solo self-employed and not for employers. Results mostly hold for both genders.

The study suggests that security-related values should not be omitted from entrepreneurship research focused on entrepreneurs' values. It also emphasizes the need to distinguish between various subgroups of entrepreneurs and their motivation, which is important for efficient active labor market policies.

The study utilizes multilevel analyses that account for individual- and country-level influences on entrepreneurial activity. It contributes to understanding how economic context influences value salience and supports the applicability of Schwartz's theory of human values in entrepreneurship.

The aim of this chapter is to investigate the immigrant women entrepreneurship phenomenon by analysing management academic literature on the issue. Stemming from the most current data on immigration and from the awareness that entrepreneurship is a viable instrument of immigrant (women) integration and inclusion, this chapter analyses the most updated management results on the issue. The analysis is mainly centred on works published after 2019, and some interesting insights emerge. Among them, we can refer to the awareness that research on immigrant women entrepreneurship is still in its infancy. Although, indeed, immigrant entrepreneurs and women entrepreneurs have been analysed considerably by researchers, it has been mainly in isolation. Therefore, room for investigating still exists, and this chapter uncovers some possible future research avenues. Moreover, by reviewing the selected papers, it clearly emerges that not all immigrant women entrepreneurs are alike; different targets (that is, different ethnicities) must be addressed differently by policy makers when policy measurements are identified. In other words, generic programmes aimed at increasing entrepreneurship among immigrant women cannot necessarily be successful.