Khalid Ayad
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Toward greener supply chains: Analysis of the determining factors
Anass Touil , Khalid Ayad , Nabil El Hamidi , Aziz Babounia doi: http://dx.doi.org/10.21511/ee.14(2).2023.09Environmental Economics Volume 14, 2023 Issue #2 pp. 114-126
Views: 218 Downloads: 56 TO CITE АНОТАЦІЯThe green supply chain (GSC) has become essential for companies seeking to improve their environmental performance and meet the requirements of sustainable development. This concept is particularly relevant in an era of globalization and growing environmental awareness. The study used a Probit regression method to analyze data collected from Moroccan SMEs. It aimed to examine the impact of different factors, such as economic and energy efficiency, government incentives, stakeholder pressure, managerial age, company size, and profitability, on the adoption of GSC practices. The results showed that economic and energy efficiency, as well as stakeholder pressure, are significant factors positively influencing the adoption of GSCs. When combined with stakeholder pressure, government incentives also have a positive impact. The age of the executive has a negative influence on the adoption of GSC, indicating that younger executives are more likely to adopt these practices. Company size showed no significant impact, while profitability had a positive impact with the adoption of a GSC.
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Does behavioral biases matter in SMEs' borrowing decisions? Insights from Morocco
Khalid Ayad , Anass Touil , Nabil El Hamidi , Khaoula Dobli Bennani doi: http://dx.doi.org/10.21511/bbs.19(1).2024.15Banks and Bank Systems Volume 19, 2024 Issue #1 pp. 170-182
Views: 320 Downloads: 104 TO CITE АНОТАЦІЯBank financing decisions by small and medium-sized enterprises (SMEs) are crucial to their growth and survival, particularly in emerging economies such as Morocco. This study aims to assess the impact of behavioral biases on these decisions, an area little explored in the existing financial literature. The main objective is to analyze how behavioral biases such as overconfidence, risk aversion, confirmation bias, anchoring, and managerial myopia biases influence bank financing decisions of Moroccan SMEs. The approach adopted is quantitative and uses robust least squares regression to analyze data collected from 167 Moroccan SMEs. The results reveal that overconfidence and anchoring have a significant positive impact on the propensity to take out bank loans, while risk aversion and confirmation bias have a negative effect. Managerial myopia had no significant influence. Control variables such as past financial performance, the length of the banking relationship, and lower risk also positively influence the financing decision.
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