Supply Chain Management and Corporate Governance

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A01=Catherine Xiaocui Lou
A01=Nicholas Billington
A01=Sardar M. N. Islam
agency theory supply chains
Author_Catherine Xiaocui Lou
Author_Nicholas Billington
Author_Sardar M. N. Islam
Category=KC
Category=KJMV8
Corporate Governance
Corporate Governance Model
corporate governance principles
decision making
Deterministic Optimisation
DP Model
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
finance
GCG Practice
Hypothetical Case Study
Improve Supply Chain Performance
Integrated Supply Chain Networks
Interior Point Methods
machine learning applications
principal agent modeling
risk management
Risk Management Strategies
risk mitigation strategies
Robust Optimisation
Robust Optimisation Approach
Robust Optimisation Method
Robust Optimisation Modelling
robust supply chain governance framework
robust supply chain management
Safety Inventory Level
Simulation Optimisation
Simulation Optimisation Method
spreadsheet optimization
Stochastic Programming
Stochastic Transformation
supply chain management
Supply Chain Model
Supply Chain Network
Supply Chain Operations
Supply Chain Risk Management
UK Corporate Governance Code
uncertainty decision analysis
Uncertainty Set

Product details

  • ISBN 9781032210391
  • Weight: 640g
  • Dimensions: 152 x 229mm
  • Publication Date: 29 Jul 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Catherine Xiaocui Lou is a Senior Lecturer in supply chain and logistics in the Victoria University Business School, Deputy Research Lead in Business and Law and Research Fellow at the Institute for Sustainable Industries & Liveable Cities at Victoria University, Australia. She is the Global Vice Chair (Australasia) and the Australian Chairperson for the Women in Logistics and Transport, under the Chartered Institute of Logistics and Transport.

Sardar M. N. Islam is a Professor at Victoria University's Institute of Sustainable Industries and Livable Cities, Australia. He is a Distinguished Visiting Professor of Artificial Intelligence at UnSri. He has published 31 scholarly authored research books and about 250 articles, including many top-grade journal articles in his areas of expertise and interest.

Nicholas Billington has worked with applications of operations research across the last 35 years, initially at the Australian Railway Research and Development Organisation and later at Shell Australia in the areas of corporate planning, transportation and logistics.

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