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Previous research has found that family characteristics, including family income, entrepreneurship/business experience and family size, can influence offspring’s entrepreneurial potential and perception of the barriers to entrepreneurship. This paper aims to extend this proposition to women in Oman to determine whether family income, entrepreneurship/business experience and family size influence women’s perception of barriers to entrepreneurship

This study is based on primary data that was collected through a structured questionnaire from 123 female respondents at an Omani private university. The data was analysed using PCA, correlation and regression analysis to determine the influence of the family characteristic on the perception of barriers to entrepreneurship.

The findings concluded that the three family characteristics being tested were not able to predict a change in the perception of barriers to entrepreneurship. This contradicts previous research conducted in Western contexts and highlights the potential weakness in family support for female entrepreneurship in Oman.

These results challenge some of the extant findings in the literature, thus enriching the current perspectives on female entrepreneurship and the impact of Omani family characteristics, in terms of income, economic background and family size, on the perception of barriers that hinder entrepreneurship among female students

This research is in response to the growing need for economic diversification in the Gulf Cooperation Council (GCC) countries as they seek to manage the impacts of volatile oil revenues. To this end, governments in the region are encouraging their citizens to undertake entrepreneurial activities. The purpose of this study is to examine the effects of entrepreneurial education (EE), trait competitiveness (TC) and psychological capital (PC) on the entrepreneurial behavior (EB) of university students.

As a quantitative study, primary data were collected through a survey administered to the team of young university students in Oman. Using stratified sampling techniques, 858 questionnaires were retrieved and used for the analysis out of the 1,176 sample. The analysis of the data was done using structural equation modeling.

The results have established a positive influence of EE, TC and PC on the EB of university students in the GCC region. This study also found that PC acts as a bridge between EE, TC and EB.

This paper provides further literature evidence on the contribution of other variables like TC and PC to EB, particularly in the GCC context, by providing a model of the influence mechanism on EB. This research reveals a very unique influence of PC on the relationship between TC and EB. The findings confirm that there is no direct relationship between TC and EB. However, the relationship was established with the introduction of PC.