(Studies in Corporate Governance)
by Catherine Xiaocui Lou (Author), Sardar M. N. Islam (Author), Nicholas Billington (Author)
Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation
is the first innovative, comprehensive analysis and analytical robust
optimisation modelling of the relationships between corporate governance
principles and supply chain management for risk management and
decision-making under uncertainty in supply chain operations.
To
avoid corporate failures and crises caused by agency problems and other
external factors, effective corporate governance mechanisms are
essential for efficient supply chain management. This book develops a
new collaborative robust supply chain management and corporate
governance (RSCMCG) model and framework that combines good corporate
governance practices for risk management strategies and decision-making
under uncertainty.
This model is developed as a
principal–agent game theory model, and it is digitalised and computed by
Excel algorithms and spreadsheets as an artificial intelligence and
machine-learning algorithm. The implementation of the RSCMCG model
provides optimal supply chain solutions, corporate governance principles
and risk management strategies for supporting the company to achieve
long-term benefits in firm value and maximising shareholders’ interests
and corporate performance while maintaining robustness in an uncertain
environment.
This book shows the latest state of
knowledge on the topic and will be of interest to researchers,
academics, practitioners, policymakers and advanced students in the
areas of corporate governance, supply chain management, finance,
strategy and risk management.
