This research study aims to investigate the moderating role of perceived risks in the relationship between financial knowledge (represented by objective knowledge and subjective knowledge) and the intention to invest in the Saudi Arabian Stock Market. The researcher collected data from four hundred Saudi Arabian participants who were interested in investing in the Saudi Arabian Stock Market. The researcher used structural equation modeling (SEM) through the Smart PLS 3.3.2 software to analyze the data. This study’s findings indicate that, in the formation of financial knowledge, the total effect of Subjective knowledge is greater than the total effect of objective knowledge. The findings also indicate that there is a positive relationship between financial knowledge and perceived risks and between financial knowledge and the intention to invest. Finally, the findings indicate that perceived risks have a negative effect on the relationship between financial knowledge and the intention to invest in the Saudi Arabian Stock Market.

During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students’ behavioral intention to accept the e-training approach in teaching field training courses at IAU. In order to gather the data, the researchers designed a questionnaire based on the UTAUT model and they ensured the face, content, and construct validity of the questionnaire by sending it to five experts in the relevant field and by using exploratory factor analysis. Also, all the questionnaire’s items were reliable since the Cronbach’s alpha values were above 0.77 for all the items. A total of 397 participants provided valid responses. The result of this study indicated that Effort Expectancy (EE), Facilitating Condition (FC), Performance Expectancy (PE), and Social Influence (SI), respectively were the primary predictors for students’ intention to use e-training. These factors explained 32.1% of the variance in students’ behavioral intentions. As far as students’ gender is concerned, there were significant differences between students’ PE, FC, and SI. Based on these results, policymakers at IAU will have a clear image of the most essential factors that colleges should target to increase students’ acceptance of e-training.

This study examines the factors affecting customers' adoption of fintech in the Gulf Cooperation Council (GCC) countries. Based on fintech adoption models, a conceptual framework was developed and extended to include COVID-19 situational influences. Data were collected during the spread of COVID-19 and its subsequent variants. The sample comprises 484 customers who obtained financial services in the GCC countries. Hypotheses were tested using partial least squares structural equation modeling (PLS-SEM). The findings indicate that perceived usefulness, perceived ease of use, trust, and situational influences of COVID-19 have significantly affected customers' attitudes toward the use of fintech. Furthermore, such attitudes had a significant effect on customers’ intentions to use fintech. The findings also indicate that both perceived usefulness and the situational influences of COVID-19 have had significant direct and indirect effects on customers’ intentions to use fintech. Social influences have only directly affected customers’ intentions to use fintech, both perceived ease of use and trust have only indirectly affected the customers’ intentions to use fintech. Conversely, the findings show that social influence does not affect customers’ attitudes towards using fintech. This study provides several recommendations to financial institutions in the GCC Countries.