Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

The study contributes to understanding the impact of top management team (TMT) member diversity on corporations’ performance and value in emerging markets. It examines three dimensions of diversity in TMT: gender, education, and foreign nationalities, providing insights into how these factors influence corporate performance and value. The study’s quantitative analysis of 70 non-financial corporations from Brazil, Egypt, India, Russia, Saudi Arabia, South Africa, and Turkey from 2013 to 2022 using cross-sectional unit analyzes helps establish empirical evidence on the relationship between TMT diversity and corporate performance in emerging markets. Study’s findings can inform corporations in emerging markets about the importance of promoting diversity in their top management teams to improve performance and value. The study found a significant impact of top management team diversity based on education and foreign nationalities but a non-significant impact on gender on some key performance indicators (KPIs). The study can explain the non-significant impact of gender according to shifting the prevailing theory from sexual selection theory to prospect theory. On the other hand, the study believes that the optimal mass of diversification, or the weight of members with diverse backgrounds, determines whether the impact of diversification is positive (it leads to increased creativity, innovation, problem-solving ability, talent attraction and retention, and employee engagement and productivity) or negative (it leads to increased organizational conflict and communication difficulties). If it is less than this mass, the benefits of diversity are limited, but if the mass is greater than it, the harms of diversity are greater than the benefits. The study also highlights the need for future research in the area of diversity in top management and provides a plan outlining steps to enhance diversity in top management teams.

This study investigates the effectiveness of technology models in credit risk scoring modeling in emerging markets. the study proposes evaluation methods for credit risk scoring modeling for current and potential borrowers through an investigation into the Egyptian banking industry by offering and examining a framework for the integration of big data and artificial neural networks based on systematic and unsystematic risk for both the macroeconomic environment and characteristics of current and potential borrowers. The data for the borrowers under examination covers the period from 2015 to 2019 for 75 firms, excluding 2020 and 2021 data to isolate the impact of COVID-19 on the results of the inferred statistics. Artificial Neural Networks was training within 25 firms under NeuroXL program but examination for 50 firms. The study found the ability of artificial neural networks to rank the commitment of borrowers in Egyptian banks under big data about the firm and Egyptian economy. Additions to discrepancy between the proposed model against some traditional models. Finally; The Integration of Big Data and ANN can help banks to bring out the value of data within create a level of financial stability for banks. Especially in emerging markets characterized by information inefficiency.

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

This study experienced the effect of different regulatory restrictions and macroeconomic status on banks’ profit in Egypt. The study used factor analysis and event study techniques on data that covered the time period from 2003 to 2016 for banking sector as a whole and individual bank unit using a sample of 13 bank units in Egypt; in addition, the study experienced the performance of common stocks of the bank units in the sample. The study found that the development of regulatory restrictions has a positive effect on the profitability of the banking sector; however, due to the differentiated characteristics of individual bank units, this effect was dissimilar for different bank units in the sample. Finally, the study concluded that if individual bank units play their development role in the economy, they will be able to meet the new set of regulatory restrictions and at the same time achieve high rates of return on their assets.