Sardar M. N. Islam - Böcker

This book presents the theoretical background to risk and corporate crisis management and offers useful methods and techniques applicable to small and medium sized enterprises in the event of disastrous situations such as fire, flood, storm, etc. Unlike the vast majority of literature available in this field, this book: concentrates on small and medium business organisations; presents a comprehensive approach to crisis management involving all aspects of business operations; adopts a systems approach at an organisational and crisis management levels; approaches disaster recovery by identifying targets, instruments and policies during various phases of the crisis management process; and employs commonly available software programs. This series: provides an international perspective to the study of business, with a special emphasis on management and marketing issues; and, deals with such topics as globalization, international business negotiations, cross-cultural communication, entry strategies, doing business in different regions, and future trends. It also focuses on the development of international business theory, methodological issues, the results of empirical studies and the findings of practitioners.

Corporate governance is a subject of high academic and practical significance in contemporary business. The book determines and analyzes the relationship between corporate governance and the value of a firm in emerging and developed financial markets by using sophisticated econometric methods and models. The results of the study show that corporate governance does matter - there is a positive relationship between corporate governance and the value of a firm in these financial markets, although the nature of these relationships, differ between emerging and developed financial markets because of the individual characteristics of these markets. This book makes an original contribution by undertaking a very comprehensive comparative econometric study on the poorly researched topic of the relationship between corporate governance and firm value in emerging and developed markets.

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 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 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.

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.

Optimal Growth Economics" is concerned with the investigation of the contemporary issues in general economics, and growth economics and in the formulation of optimal growth programs, especially the issue of the sustainability of growth. This book proposes the development of optimal growth economics as a distinct, coherent and practical discipline useful for social choice by using the techniques of mathematical modelling and computing to address a wide range of emerging and enduring issues in economics. A considerable number of optimal economic growth models have been developed in the book to address the crucial issues of different branches in economics, including growth and development economics, economic planning, welfare economics, environmental economics, human capital development, political economy, natural resources and the economics of uncertainty.

This title is concerned with the investigation of the contemporary financial issues of the e-commerce market.

This book studies the relationships between economic growth and social welfare and the policy implications of these relationships for development. Understanding the relationships between economic growth and social welfare is an enduring issue within contemporary development economics and welfare economics. These relationships are analysed in this book by operationalising normative social choice theory. Normative social choice theory is an appropriate approach as it explicitly incorporates society's preferences, values and choices in determining how social welfare should be defined and measured. Two approaches, aggregate and hierarchical, are developed and empirically applied to Thailand for a twenty-five year period 1975-1999. This book concludes that in terms of social welfare, economic growth cannot always be assumed desirable. What is needed is social welfare enhancing economic growth. A review of the policy implications of this finding is also undertaken.

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.

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.

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.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.This book:Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industryDiscusses the concepts, tools, and techniques of smart healthcare as well as the analysis usedDetails the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systemsPresents applications of smart healthcare through various real-world examplesIncludes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industryInterested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.This book:Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industryDiscusses the concepts, tools, and techniques of smart healthcare as well as the analysis usedDetails the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systemsPresents applications of smart healthcare through various real-world examplesIncludes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industryInterested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

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.

COGNITIVE COMPUTING MODELS IN COMMUNICATION SYSTEMS A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions. The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area. The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques. Readers will find in this succinctly written and unique book: Topics covering the applications of advanced cognitive devices, models, architecture, and techniques.A range of case studies and applications that will provide readers with the tools to apply cutting-edge models and algorithms.In-depth information about new cognitive computing models and conceptual frameworks and their implementation.Audience The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

This book highlights the important use of digital technologies and the latest developments in mechanical and industrial engineering to enhance environmental and resource sustainability. Sustainable Development Goals (SDGs) have as their overarching objective the reduction or eradication of a wide range of global problems, including, but not limited to poverty, climate change, environmental degradation, and inequality. Digital technologies (DTs) have the potential to be exploited to meet the goals associated with the circular economy (CE) and sustainable development. Additive manufacturing (AM), cyber-physical systems (CPS), and blockchain technology are examples of DT-enabled technologies that are helpful for businesses that seek to shift to a circular economic model. With the remanufacturing of products, applications that make use of virtual reality and augmented reality, in addition to the Internet of Things, simplify the construction of strategic decision models that reduce time and expense while simultaneously increasing productivity. In addition, the utilization of big data analytics helps businesses discover previously undisclosed trends and unlock numerous opportunities for environmental and resource sustainability. Employing analytics makes it feasible to collect helpful information regarding the socio-environmental impact of a product, as well as consumption factors over the entirety of a product’s life cycle. This book contains 44 comprehensive chapters and is divided into five parts. Part 1 delves deeply into sustainable operational practices and supply chain management. The impact that digital technology-enabled operational techniques have on product life cycles is investigated, as well as the design of efficient remanufacturing processes, environmentally friendly logistics and warehousing practices, sustainable designs for distributed energy supply systems, and efficient recycling procedures. Part 2 provides a perspective on advanced materials and developments for sustainable manufacturing. The chapters in this section address sustainable material development and its application in the circular economy concept. Included here is an in-depth exploration of cutting-edge technology for synthesis, processing, fabrication, process optimization, testing, and performance evaluation of advanced materials. Part 3 covers sustainable manufacturing practices and looks at the problems faced by the industry when using digital technologies in their operations, as well as the possible benefits. Part 4 examines sustainable innovation in mechanical design. It addresses all aspects of mechanical design that contribute to sustainable innovation for nation-building. Part 5 delves into heat transfer and fluid flow concepts for sustainable product development and applications. The chapters explain how to construct sustainable energy systems by reducing the total amount of energy that is utilized, enhancing the efficiency of the process of energy conversion, and making use of sources of energy that are renewable. Audience This book has a wide audience in academic institutions and engineers in a variety of manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.

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.

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 book discusses how Unmanned Aerial Vehicles (UAVs) can leverage the sub-6 GHz massive MIMO to address cell selection and interference issues in future wireless networks.

The book discusses how Unmanned Aerial Vehicles (UAVs) can leverage the sub-6 GHz massive MIMO to address cell selection and interference issues in future wireless networks.

Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions.

Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions.

Formulation of Appropriate Laws: A New Multidisciplinary Modelling Approach and an Application to Electronic Funds Transfer Regulation. Efficient laws have profound positive social, economic, political and welfare effects. As a consequence, the formulation of efficient laws is a central issue in the study, practice and implementation of laws. Fragmented approaches to the formulation of laws such as ‘comparative law analysis’ and ‘welfare economic analysis of laws’ exist in the current literature; they even occasionally rear their heads in the practice and implementation of laws. However, what these authors offer and what is needed, is an integrated approach to help formulate efficient and socially desirable laws – an approach that not only incorporates ‘comparative law analysis’ and ‘welfare economic analysis of laws,’ but also takes into consid- ation other various dimensions of human welfare that are affected by new laws and legal reform. This book presents such an approach using the Electronic Funds Transfer (EFT) regulation in Australia as its vehicle of analysis. The two-pronged approach offered in this book can be applied to formulate efficient laws that maximise the social welfare of the country, irrespective of social, political and economic organisations of the country under study. As such, this book makes several distinct contributions to the literature in law as it: 1. develops a new integrated multi-disciplinary approach using quantitative methods to formulate appropriate laws; 2. applies recent developments in welfare economics; 3.

Formulation of Appropriate Laws: A New Multidisciplinary Modelling Approach and an Application to Electronic Funds Transfer Regulation. Efficient laws have profound positive social, economic, political and welfare effects. As a consequence, the formulation of efficient laws is a central issue in the study, practice and implementation of laws. Fragmented approaches to the formulation of laws such as ‘comparative law analysis’ and ‘welfare economic analysis of laws’ exist in the current literature; they even occasionally rear their heads in the practice and implementation of laws. However, what these authors offer and what is needed, is an integrated approach to help formulate efficient and socially desirable laws – an approach that not only incorporates ‘comparative law analysis’ and ‘welfare economic analysis of laws,’ but also takes into consid- ation other various dimensions of human welfare that are affected by new laws and legal reform. This book presents such an approach using the Electronic Funds Transfer (EFT) regulation in Australia as its vehicle of analysis. The two-pronged approach offered in this book can be applied to formulate efficient laws that maximise the social welfare of the country, irrespective of social, political and economic organisations of the country under study. As such, this book makes several distinct contributions to the literature in law as it: 1. develops a new integrated multi-disciplinary approach using quantitative methods to formulate appropriate laws; 2. applies recent developments in welfare economics; 3.

The primary contribution of this book is to integrate the important disciplines which simultaneously impact the investment appraisal process.

The primary contribution of this book is to integrate the important disciplines which simultaneously impact the investment appraisal process.

The emphasis of this book is on understanding special characteristics of the financial systems of emerging markets, where the existence of market imperfections such as asymmetric information, adverse selection and moral hazard can cause financial market failures. Considering the Thai stock market as an example, this book provides an econometric study of a typical Asian financial system. Many contemporary techniques and models are used in this study, including simple multivariate regression, multi-factor model, exponential smoothing, Holt Winters models, and GARCH type models. The findings of the existence of rational bubbles, anomalies, volatility and other characteristics reveal evidence of inefficiency in the Thai stock market. Based on these results, the book includes justifications for public policies in such economies and makes suggestions for further research areas.