Skip to main content

Fintech, board of directors and corporate performance in Saudi Arabia financial sector: Empirical study

Author name : Mahfoudh Hussein Hussein Mgammal
Publication Date : 2022-08-29
Journal Name : Sustainability

Abstract

On a global scale, the Fintech sector has become increasingly important for keeping abreast of developments and progressions in the financial field. This study aimed to examine the impact of Fintech on the financial sector of Saudi Arabia and the role of Fintech in the relationship between the board of directors and corporate performance among Saudi financial firms listed on the stock market. Data were obtained from financial sector firms, covering banks and insurance firms from 2014 to 2020. The results revealed that board size, board independence, board meeting, board experience, and Fintech have a significant relationship with corporate performance. In relation to additional analyses, this study found that the board of directors’ score has a significant association with performance. Moreover, this study found that Fintech does not moderate the relationship between the board of directors’ score and corporate performance. This study sheds light on the effect of Fintech on the financial sector of Saudi Arabia, contributing new information to the literature. The study results are expected to have implications for several stakeholder groups. First, the study findings can be beneficial to academics, in terms of new knowledge and understanding of Fintech in the context of Saudi Arabia, a country that represents the Gulf region and the Arab World. The findings also have implications for policy-makers and practitioners in the Saudi and Middle-Eastern countries, Asia, and developing nations that have a similar culture, socio-economic institutions, or socio-economic environments.

Keywords

board of director characteristics; fintech; board of directors scores; Saudi financial sector; Saudi Arabia country

Publication Link

https://doi.org/10.3390/su141710750

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
Contact