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Catherine XiaocuiLou,Sardar M. N.Islam,NicholasBillington

Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation

Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation

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  • More about Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation


This book provides an innovative analysis and modelling of the relationships between corporate governance principles and supply chain management for risk management and decision-making under uncertainty. It develops a collaborative robust supply chain management and corporate governance (RSCMCG) model and framework that combines good corporate governance practices with risk management strategies. The model is implemented as an artificial intelligence and machine-learning algorithm using Excel algorithms and spreadsheets. It offers optimal supply chain solutions, corporate governance principles, and risk management strategies to achieve long-term benefits and maintain robustness in an uncertain environment.

Format: Paperback / softback
Length: 268 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd


Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory, and Robust Optimization is a groundbreaking, comprehensive analysis and analytical robust optimization modeling of the intricate relationships between corporate governance principles and supply chain management for risk management and decision-making under uncertainty in supply chain operations.

To mitigate corporate failures and crises caused by agency problems and other external factors, effective corporate governance mechanisms are paramount for efficient supply chain management. This book presents a novel collaborative robust supply chain management and corporate governance (RSCMCG) model and framework that amalgamates best corporate governance practices for risk management strategies and decision-making under uncertainty. This model is developed as a principal-agent game theory model, which is digitalized and computed using Excel algorithms and spreadsheets as an artificial intelligence and machine-learning algorithm. The implementation of the RSCMCG model yields optimal supply chain solutions, corporate governance principles, and risk management strategies to support the company in achieving long-term benefits in firm value, maximizing shareholders' interests, and enhancing corporate performance while maintaining robustness in an uncertain environment.

This book serves as a comprehensive repository of the latest knowledge on the subject and will be of immense interest to researchers, academics, practitioners, policymakers, and advanced students in the domains of corporate governance, supply chain management, finance, strategy, and risk management.

Weight: 453g
Dimension: 229 x 152 (mm)
ISBN-13: 9781032210407

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