Sardar M. N. Islam

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms. Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs. The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms. Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs. The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.

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.

The relationship between ownership structure and firm performance has been studied extensively in corporate finance and corporate governance literature. Nevertheless, the mediation (path) analysis to examine the issue can be adopted as a new approach to explain why and how ownership structure is related to firm performance and vice versa. This approach calls for full recognition of the roles of agency costs and corporate risk-taking as essential mediating variables in the bi-directional and mediated relationship between ownership structure and firm performance. Based on the agency theory, corporate risk management theory and accounting for the dynamic endogeneity in the ownership–performance relationship, this book develops two-mediator mediation models, including recursive and non-recursive mediation models, to investigate the ownership structure–firm performance relationship. It is demonstrated that agency costs and corporate risk-taking are the ‘missing links’ in the ownership structure–firm performance relationship. Hence, this book brings into attention the mediation and dynamic approach to this issue and enhances the knowledge of the mechanisms for improving firm’s financial performance. This book will be of interest to corporate finance, management and economics researchers and policy makers. Post-graduate research students in corporate governance and corporate finance will also find this book beneficial to the application of econometrics into multi-dimensional and complex issues of the firm, including ownership structure, agency problems, corporate risk management and financial performance.

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.

This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates. The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries. This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph. D. and Masters’ students in these areas.

The relationship between ownership structure and firm performance has been studied extensively in corporate finance and corporate governance literature. Nevertheless, the mediation (path) analysis to examine the issue can be adopted as a new approach to explain why and how ownership structure is related to firm performance and vice versa. This approach calls for full recognition of the roles of agency costs and corporate risk-taking as essential mediating variables in the bi-directional and mediated relationship between ownership structure and firm performance. Based on the agency theory, corporate risk management theory and accounting for the dynamic endogeneity in the ownership–performance relationship, this book develops two-mediator mediation models, including recursive and non-recursive mediation models, to investigate the ownership structure–firm performance relationship. It is demonstrated that agency costs and corporate risk-taking are the ‘missing links’ in the ownership structure–firm performance relationship. Hence, this book brings into attention the mediation and dynamic approach to this issue and enhances the knowledge of the mechanisms for improving firm’s financial performance. This book will be of interest to corporate finance, management and economics researchers and policy makers. Post-graduate research students in corporate governance and corporate finance will also find this book beneficial to the application of econometrics into multi-dimensional and complex issues of the firm, including ownership structure, agency problems, corporate risk management and financial performance.

This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates. The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries. This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph. D. and Masters’ students in these areas.

This book analyzes the determinants and effectiveness of corporate governance in an integrated model drawing on contingency theory and employing structural equation modeling (SEM). Business competition as an environmental factor and strategy as an organizational factor are important determinants of corporate governance, while organizational performance and earnings quality are two dimensions of its effectiveness. This book focuses on the relationship between corporate governance and earnings management, and shows that corporate governance is effective in improving earnings quality and reducing accounting and governance risks. The authors also question the relation between corporate governance and company performance and present results of their analysis in this book.

The primary contribution of this book is to integrate the important disciplines which simultaneously impact the investment appraisal process. The book presents a study that develops a new approach to investment appraisal which uses a multiple objective linear programming (MOLP) model to integrate the selected disciplines which include capital markets, corporate governance and capital budgeting. The research covers two case studies, one in the e-commerce sector and another in the airline industry in which the above disciplines are integrated. Readers from the areas of corporate governance, regulation, and accounting would find the survey of different approaches and the new integrated optimization approach particularly useful. ?

This book analyzes the determinants and effectiveness of corporate governance in an integrated model drawing on contingency theory and employing structural equation modeling (SEM). Business competition as an environmental factor and strategy as an organizational factor are important determinants of corporate governance, while organizational performance and earnings quality are two dimensions of its effectiveness. This book focuses on the relationship between corporate governance and earnings management, and shows that corporate governance is effective in improving earnings quality and reducing accounting and governance risks. The authors also question the relation between corporate governance and company performance and present results of their analysis in this book.

This book reports initial efforts in providing some useful extensions in - nancial modeling; further work is necessary to complete the research agenda. The demonstrated extensions in this book in the computation and modeling of optimal control in finance have shown the need and potential for further areas of study in financial modeling. Potentials are in both the mathematical structure and computational aspects of dynamic optimization. There are needs for more organized and coordinated computational approaches. These ext- sions will make dynamic financial optimization models relatively more stable for applications to academic and practical exercises in the areas of financial optimization, forecasting, planning and optimal social choice. This book will be useful to graduate students and academics in finance, mathematical economics, operations research and computer science. Prof- sional practitioners in the above areas will find the book interesting and inf- mative. The authors thank Professor B. D. Craven for providing extensive guidance and assistance in undertaking this research. This work owes significantly to him, which will be evident throughout the whole book. The differential eq- tion solver “nqq” used in this book was first developed by Professor Craven. Editorial assistance provided by Matthew Clarke, Margarita Kumnick and Tom Lun is also highly appreciated. Ping Chen also wants to thank her parents for their constant support and love during the past four years.

The primary contribution of this book is to integrate the important disciplines which simultaneously impact the investment appraisal process. The book presents a study that develops a new approach to investment appraisal which uses a multiple objective linear programming (MOLP) model to integrate the selected disciplines which include capital markets, corporate governance and capital budgeting. The research covers two case studies, one in the e-commerce sector and another in the airline industry in which the above disciplines are integrated. Readers from the areas of corporate governance, regulation, and accounting would find the survey of different approaches and the new integrated optimization approach particularly useful. ?

1. 1 Background of the Study: Ef?ciency in Cross-Cultural International Business Management Ef?cient business management is crucial in achieving corporate (national or int- national/multinational) goals such as higher value, comprehensiveness, corporate governance, etc. Ef?cient business management can be achieved by resolving agency problems existing among different stakeholders in corporations. In inter- tional business, agency problems may exist between managers, owners, staff, and other stakeholders who come from different cultures. Therefore, there is a need in designing ef?cient management of international business by in?uencing the factors (the convergence factors) which cause differences in the interests and cultures of different stakeholders. International business refers to all commercial transactions between two or more nations. Because it comprises a large and growing portion of current world business practice, international business has received considerable attention in academic research (Daniels and Radebaugh 1998). International bu- ness differs in important ways from business conducted within national borders, and poses additional challenges to managers and investors in foreign countries (Mahoney et al. 1998). In this context, Black et al. (1999) state that effective management is increasingly recognized as a key determinant of success or failure, arguing that the success of international business in multinational companies depends most signi?cantly on the quality of management systems (Stroh and Caligiuri 1998). As international business involves people from different cultures, every business function including managing a workforce, marketing output, and dealing with regulators, has the potential to involve cross-cultural problems (Zineldin2007).

The recent global ?nancial crisis has made ?nancial liberalization a topic of great academic and practical interest. This book makes new contributions to the topic by combining fact-?nding, empirical analysis, and theory to examine the relationship between ?nancial liberalization and economic growth. Among its contributions, the book provides detailed country assessments on the effects of ?nancial liberalization, including its striking impact on the banking sector. Although an important goal of ?nancial deregulation has been to help ?nancial institutions better perform their role in intermediating resources, the book models how deregulation may fail to achieve that goal in countries with underdeveloped ?nancial markets and institutions. For that purpose, the book draws on actual experience in Kenya, Malawi, Botswana, and Thailand. This book should constitute important reading for students of ?nancial economics, researchers and general academics, ?nancial practitioners, policymakers, and teachers of economics. North Carolina, USA Steven L. Schwarcz December 2008 Stanley A. Star Professor of Law & Business, Duke University Founding Director, Duke Global Capital Markets Center Durham vii Abstract and Preface The latest global ?nancial and economic crisis of 2008 shows the need to - examine the desirability of ?nancial liberalization and the basis for the view that ?nancial deregulation by itself cannot be considered as a substitute for better economic management. The literature on ?nancial liberalization has identi?ed various mechanisms through which removing controls on interest rates may impact economic growth.

Many optimization questions arise in economics and finance; an important example of this is the society's choice of the optimum state of the economy (the social choice problem). Optimization in Economics and Finance extends and improves the usual optimization techniques, in a form that may be adopted for modeling social choice problems. Problems discussed include: when is an optimum reached; when is it unique; relaxation of the conventional convex (or concave) assumptions on an economic model; associated mathematical concepts such as invex and quasimax; multiobjective optimal control models; and related computational methods and programs. These techniques are applied to economic growth models (including small stochastic perturbations), finance and financial investment models (and the interaction between financial and production variables), modeling sustainability over long time horizons, boundary (transversality) conditions, and models with several conflicting objectives. Although the applications are general and illustrative, the models in this book provide examples of possible models for a society's social choice for an allocation that maximizes welfare and utilization of resources. As well as using existing computer programs for optimization of models, a new computer program, named SCOM, is presented in this book for computing social choice models by optimal control.