Search results

The purpose of this paper is to explore the start-up intention among the female population in Saudi Arabia using the social cognitive theory (SCT).

This paper is based on the Global Entrepreneurship Monitor nationwide survey of 1,835 adult females in 2017. This is one of the most comprehensive surveys for assessing the start-up climate across the globe including Saudi Arabia. The data have been analyzed using simple techniques such as chi-square statistics, correlation, and logistics regression. The factors affecting start-up intentions have been identified using the social cognitive theory (SCT).

Out of 1,835 adult females surveyed under Global Entrepreneurship Monitor, 568 of them have reported start-up intention, i.e. 31.9 percent. The profile of females with and without start-up intention has been mapped in terms of age, family size, working status, education level, region, and citizenship to understand the potential group. The results of the correlation coefficient indicated a significant and positive relationship between start-up intention (SI) among females and self-efficacy (SE), career choice (CC), employment generation (EG), and social welfare (SW). The regression estimates proved that both the constructs, i.e. self-efficacy beliefs and outcome expectations of the social cognitive model are positive and significant.

The result of this paper provides empirically meticulous evidence for understanding the start-up intention of females in Saudi Arabia based on the social cognitive theory. This study provides a key strategy for changing the start-up ecosystem for females in the Kingdom of Saudi Arabia. By focusing on the required knowledge, skill, and experience among females belonging to young, small family size, not-working and having higher family income may provide better start-up intention for all those who are willing to venture into a new business as a career choice, have the intention to create jobs and wish to solve social problems.

Considering the current focus of the government for establishing a knowledge-based economy by promoting new programs in the kingdom for start-ups and SMEs, the findings of this research can be valuable for the rapid acceleration of a new model of growth supported by the grass-root rise of women entrepreneurs.

This study aims to analyse the nature and trends in the knowledge discovery process on COVID-19 and food insecurity using a comprehensive bibliometric analysis based on the indexing literature in the Scopus database.

Data were extracted from Scopus using the keywords COVID-19 and food security to ensure extensive coverage. A total of 840 research papers on COVID-19 and food security were analysed using VOSviewer and RStudio software.

The findings of the bibliometric analysis in terms of mapping of scientific research across countries and co-occurrence of research keywords provide the trends in research focus and future directions for food insecurity research during times of uncertainty. Based on this analysis, the focus of scientific research has been categorised as COVID-19 and food supply resilience, COVID-19 and food security, COVID-19 and public health, COVID-19 and nutrition, COVID-19 and mental health and depression, COVID-19 and migration and COVID-19 and social distancing. A thematic map was created to identify future research on COVID-19 and food security.

This analysis identifies potential research areas such as food supply and production, nutrition and health that may help set future research agendas and devise policy supports for better managing food insecurity during uncertainty.

This analysis provides epistemological underpinnings for knowledge generation and acquisition on COVID-19 and food insecurity.