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This study examines the role of Saudi women’s work motivational drivers on work–home conflict (WHC) and work–home enrichment (WHE). It considers the moderating role of psychological detachment from work during the evening between one workday and the next and how it impacts on the mediating role of WHC and WHE on work performance.

Drawing on self-determination theory and enrichment and depletion perspectives on the work–home interface, the study employs a quantitative lagged study over a period of three consecutive working days, with data collected from 358 Saudi women working in academia.

Moderated mediation structural equation modelling (MMSEM) analysis reveals that intrinsic motivation is significantly, positively related to WHE and home–work enrichment (HWE), whereas extrinsic motivation is only significantly and positively related to home–work conflict (HWC). Results show that detaching from work weakens the positive association between intrinsic motivation and HWE. In line with predictions, WHE is significantly, positively related to citizenship behaviour towards both individuals and organizations, whilst HWE is significantly related to citizenship behaviour towards individuals only. HWC is only significantly related to citizenship behaviour towards the organisation.

The research highlights the enriching experiences for Saudi women, who have the opportunity to pursue a career and highlight benefits of their ongoing empowerment.

This research brings a unique motivational perspective to work–life research and addresses a shortcoming of work–life research in considering an understudied culturally distinct population. It emphasises on the enriching experiences of Saudi women who have the opportunity to pursue a career, highlighting the benefits of their ongoing empowerment.

The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.