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What is Human Factors in Supply Chain Management about?

This paper explores the impact of human decision-making biases, such as overconfidence and loss aversion, on supply chain performance, emphasizing the need for integrating information systems and machine learning to mitigate these biases. The study utilizes quantitative analysis to demonstrate that cognitive biases significantly affect inventory and promotion policies, leading to suboptimal supply chain outcomes. Recommendations include training programs for decision-makers and the application of behavioral

Author

Zahidur Rahman Farazi

Language

EN