03038nam a2200277   450000500170000000800410001702000180005804100080007608200160008410000270010024501880012726000350031530000160035049000470036650503840041352016190079765000240241665000280244065000160246865000250248470000250250970000260253494200070256099900150256795201780258220251203170448.0241207b        |||||||| |||| 00| 0 eng d  a9781032210391  aeng  a658.8bXiaS  aXiaocui, Lou Catherine  aSupply Chain Management and Corporate Governance :	bArtificial Intelligence, Game Theory and Robust Optimisation /cCatherine Xiaocui Lou, Sardar M. N. Islam and Nicholas Billington	  aNew York:bRoutledge,c©2023.  axvii, 267p.  a Routledge studies in corporate governance  aPreface

Chapter 1: Introduction

Chapter 2: Supply chain management, corporate governance, risk management and optimisation modelling

Chapter 3: Conceptual framework and modelling methodology

Chapter 4: Robust optimisation model for supply chain management and corporate governance

Chapter 5: Analysis and discussion

Chapter 6: Discussion, implications and future directions  aSupply 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.  a Business logistics  aArtificial Intelligence  aGame Theory  aCorporate Governance  aIslam, Sardar M. N.   aBillington, Nicholas   cBK  c6658d6658  00102ddc40708CSEaIITTPbIITTPcGENd2025-10-27eCreative Booksg11081.07iCB/25128l0o658.8 XiaS (11709)p11709r2025-12-05 00:00:00tCopy 01v15830.10w2025-10-27yBK