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The U-shaped relationship between economic development and female work force participation rate may be explained at the household level in terms of the interaction between social factors and the income of the household. The social attitude and income are likely to be influenced by education, which augments the income on the one hand and on the other shifts women from stigmatised jobs to non-stigmatised jobs and also reduces the adverse social response towards women participation in the labour market. The shift across sectors of employment is also motivated by education, implying positive associations between education and high productivity jobs. Copyright

The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the last decade, particularly during the last 5 years, there has been a flurry of literature on supply chain risk management (SCRM), illustrating the need for further classification so as to guide researchers to the most promising avenues and opportunities. We therefore conduct a bibliometric and network analysis of SCRA publications to identify research areas and underlying themes, leading to the identification of three major research clusters for which we provide interpretation and guidance for future work. In doing so we focus in particular on the variety of parameters, analytical approaches, and characteristics of multi-criteria decision-making techniques for assessing supply chain risks. This offers an invaluable synthesis of the SCRA literature, providing recommendations for future research opportunities. As such, this paper is a formidable starting point for operations researchers delving into this domain, which is expected to increase significantly also due to the current pandemic.

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