In Saudi Arabia, limited studies have developed models related to measuring the impact of the digital economy on the labor market. This model concerns the agricultural, service, and industrial sectors in Saudi Arabia. This study further investigates the relationship between digitalization, labor productivity, and unemployment using the ARDL error correction method for time-series data obtained from the World Bank database for the period of 2001–2019. The findings of this study illustrate, digital variables such as fixed broadband subscriptions (LNFBS), mobile cellular subscriptions (LNMCS), and computer, communications, and other services (LNCCO) do not significantly affect the labor market in the agricultural sector. LNMCS and LNCCO do not influence the service sector. However, they are negatively influencing the industrial sector and labor productivity. In contrast, LNFBS has a positive impact on both the service and industrial sectors. Interestingly, all three digital variables significantly reduce unemployment in the long run in Saudi Arabia. However, in the short run, digitalization does not have a positive impact on the economy. This study hopes to benefit policymakers in considering how to reorganize the socioeconomic infrastructure to balance economic growth through greater technology and the utilization of the country’s human resources.

The COVID-19 crisis seems to have disproportionately impacted women’s financial resilience. In fact, women’s economic involvement in the financial sector remains unequal. This study compares the impact of digital financial inclusion on women’s economic empowerment before and after the COVID-19 epidemic in Saudi Arabia. Using data collected from the Global Financial Inclusion Database for 2017 and 2021 and ordered probit models, the paper examines the relationship between economic women’s empowerment and digital financial inclusion. Findings indicate that using digital financial services has become more crucial since the pandemic. The results demonstrate that women now play a more significant economic role in decision-making than they did before the epidemic because they have access to a variety of digital financial services that could affect their choices and decisions. The findings are consistent with a number of previous studies, which found that financial digitization is a significant factor in women’s economic empowerment. The distinctiveness of this study is that it provides a recent assessment of Saudi women’s present financial circumstances and assesses current Saudi government initiatives to enhance women’s economic empowerment and leadership capabilities. The research conclusions provide insights for regulators and implications for future research in promoting digital financial inclusion and ensuring Saudi women’s economic empowerment.

This study aimed to identify sources of external knowledge in small- and medium-sized enterprises (SMEs). Additionally, it aimed to determine how external knowledge flow affects the different types of SMEs’ innovation capabilities (product, process, organizational, and marketing innovation capability). A quantitative approach was adopted to achieve the objectives. A questionnaire survey was used to collect study data from 83 random SME managers/owners in Saudi Arabia. The data were analyzed using regression analysis and descriptive statistics. The findings of the study showed that customers were the main source of external knowledge in SMEs. The results of the regression analysis also demonstrated that external knowledge flow has a significant effect on SMEs’ innovation capabilities. External knowledge explains the changes in SMEs’ products and their process innovation capability. Additionally, external knowledge flow was a significant predictor of SMEs’ organizational innovation capability. The findings of the study provide policymakers and managers with many suggestions for developing innovations in SMEs. Additionally, this study provides a basis for researchers to conduct more future studies related to innovation and knowledge flow in SMEs.

The paper proposes an innovative microeconomic analysis of the effects of COVID-19 on the economic performance by relying on two different approaches. Firstly, we consider a theoretical investigation by implementing a DSGE model where we propose a negative health shock on the supply part of the economy. The second approach is based on empirical investigation via Ordered Probit Regressions using the Saudi Labour Force Survey where we focus on time and regional effects by comparing 2019 and 2020 indicators. On one side, our findings reveal that health shock impacts household health spending. An affected household by the COVID-19 will see its resources decreasing due to the indirect costs of the pandemic related to the loss in productivity and labour supply. It is much more than that the COVID-19 pandemic hurts working hours and earnings. On the other side, the results show that individuals with higher degree of schooling and high skills seem to be not affected during the pandemic. Additionally, the effect of the current health crisis is more noticeable in Riyadh, Southern and Western region and is more intensive in the private sector and for non-Saudi workers.   Received: 16 March 2022 / Accepted: 3 May 2022 / Published: 5 July 2022