The era of globalization has brought about unprecedented social, political, and environmental challenges for policy makers around the world due to the global impact of economic decisions. In view of these challenges, economics, as a discipline, needs to be taught with the goal of broadening the dialogue on social responsibility, and developing a new pluralist culture of decision making which is inclusive to different schools of economic thought. Pluralist Readings in Economics: Key-concepts and policy tools for the 21st century highlights the long-standing debates regarding economic systems, business models, criteria of justice, and economic policies by providing conceptual openings to economic theory in an engaging and accessible way. The author provides broad coverage of relevant topics through the selection of influential economic thinkers and introduces the reader to their ideas, context, and relevant interpretations. While dealing with complex problems, the author goes beyond commonly known concepts by presenting questions on the historical context of globalization. The study of economic concepts in this way leads to asking new questions concerning various issues relevant to economics. The goal of the text is to provide an interdisciplinary perspective to readers in order to equip them with information that is key to address global economic challenges. Thus, this pluralist approach calls for a reflection of the evolution of global social and economic conditions to demonstrate problem solving approaches that align with the goal of addressing these challenges. Pluralist Readings in Economics: Key-concepts and policy tools for the 21st century is suitable to a broad interdisciplinary readership as it will benefit all those who seek to better understand the complex stakes of the capitalist system, in the tensions between regulatory policies, free market equilibria, and participatory openings in governance. This introductory work also prepares the reader for debates and discussion in economic theory aimed at shaping policy transformations towards a more equitable, just and sustainable world.

Interest Rate Modeling for Risk Management presents an economic model which can be used to compare interest rate and perform market risk assessment analyses. The key interest rate model applied in this book is specified under real-world measures, and the result is used as to generate scenarios for interest rates. The book introduces a theoretical framework that allows estimating the market price of interest rate risk. For this, the book starts with a brief explanation of stochastic analysis, and introduces interest rate models such as Heath-Jarrow-Morton, Hull-White and LIBOR models. The real-world model is then introduced in subsequent chapters. Additionally, the book also explains some properties of the real-world model, along with the negative price tendency of the market price for risk and a positive market price of risk (with practical examples). Readers will also find a handy appendix with proofs to complement the numerical methods explained in the book. This book is intended as a primer for practitioners in financial institutions involved in interest rate risk management. It also presents a new perspective for researchers and graduates in econometrics and finance on the study of interest rate models. The second edition features an expanded commentary on real world models as well as additional numerical examples for the benefit of readers.

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations. Key Features: - Covers general concepts of Artificial intelligence and machine learning - Explains the importance of dominant AI algorithms for business and AI research - Provides information about 6 unique algorithmic pathways in the Throughput Model - Provides information to create a roadmap towards building architectures that combine the strengths of the symbolic approaches for analyzing big data - Explains how to understand the functions of an AI algorithm to solve problems and make good decisions - informs managers who are interested in employing ethical and trustworthiness features in systems. Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model is an informative reference for all professionals and scholars who are working on AI projects to solve a range of business and technical problems.

The Regional Comprehensive Economic Partnership (RCEP) is a free-trade deal between 10 ASEAN member states and Australia, China, Japan, New Zealand, and South Korea. It is the world's biggest regional trade deal, and it will create the world's most populous trade area. This edited collection features 10 contributions from multidisciplinary authors and is meant to share research and best practises on different aspects of the RCEP. It presents research projects that contribute to the discussion about the theory, lessons learned, and business strategies, to give a better understanding of the RCEP and how it can shape policy in member countries. The themes in each chapter can also serve to evaluate reports on the RCEP's overall progress. The book covers a broad range of subjects, including an overview of the RCEP, digital economy, peer-to-peer lending, international e-commerce, big data, ICT readiness and much more. This work is a key source of information and reference for RCEP development for academics and researchers (in economics and political science), government and trade organisations and policymakers interested in the RCEP. Members of the general public who want to understand debates surrounding the RCEP will also benefit from the information provided.

Biotechnology, a branch of science and a fast-growing source of developing technologies, has shown immense potential for its utility across all the dimensions of our lives. Its applications range from drugs and therapeutics, industrial, household applications, biofuels, and information technology to almost all resource-based sectors, such as manufacturing, aquaculture, agriculture, and forestry. Biotechnology offers outstanding potential to meet the growing demand for food and energy production in a sustainable way. Recognizing its economic and strategic value, countries have implemented several measures to generate a homegrown biotechnology sector and help science-based companies develop. This book covers some of the most important legal issues arising in relation to biotechnology. Topics covered in chapters include 1) the historical development of a legal framework sufficient to protect public safety, 2) the current biotechnology regulatory system and the rules directing the primary agencies that regulate the products of biotechnology (namely the FDA, USDA and EPA), 3) the regulation of human genome editing and its impact on health research, 4) law and emerging genome editing technologies from recombinant DNA technology to CRISPR/Cas9 editing, 5) the development of legal principles to protect property rights in the human body and allow the efficient use of human tissue, organs, DNA, and cell-lines in medical research, and 6) legal issues arising from the use of genetic engineered plants and animals. The authors have ensured that the contents are easy to understand, making this an accessible reference for a broad range of readers. This book, therefore, serves as a quick summary of the prominent legal and regulatory issues in the biotech industry for professionals, as well as scholars in legal study programs.

Emerging Technologies for Digital Infrastructure Development is a comprehensive and insightful book that reviews the transformative impact of cutting-edge technologies on the digital landscape. It presents 16 topics, from e-commerce consumer behavior to AI applications in healthcare and cybersecurity, this book offers a detailed overview of the role of technology in shaping the modern world. With a focus on bridging the digital divide in education, the book presents innovative solutions to contemporary challenges. The editors also emphasize the importance of privacy and security in an interconnected world by discussing cybersecurity measures and threat detection strategies. The book serves as a valuable resource for technology professionals, researchers, and academics, offering a deep dive into the latest trends and applications in digital infrastructure. It also caters to business leaders, policy makers, and students seeking to understand the transformative potential of emerging technologies. Key technologies highlighted in the book include machine learning and AI models, IoT, data analytics, recommendation systems and e-learning systems. Applications of these technologies are demonstrated for healthcare, e-commerce, cybersecurity, aviation and education sectors. Emerging Technologies for Digital Infrastructure Development offers insights and solutions that pave the way for a secure, efficient, and inclusive digital future.

In the wake of the transformative global events since 2020, the economic landscape has undergone profound changes. Adapting to the new paradigms brought about by the pandemic requires innovative business models that seamlessly blend technology and offer hybrid online-offline services. This handbook is an essential guide for students and entrepreneurs navigating this evolving landscape. It equips readers with the knowledge and tools to create value and design effective online-offline business models that cater to the demands of the post-pandemic era. Key Themes: Technology-Service Management: Explore the concept of servitization, relevant frameworks, and the latest servitization trends that are reshaping industries. Business Innovations: Learn how businesses have leveraged technology and service-oriented approaches to thrive during and after the pandemic. Customer-Centric Models: Discover how to create business models that prioritize customer needs and preferences, effectively bridging the online and offline realms. Value Innovation: Explore how the convergence of technology and services drives value creation and contributes to social welfare. Real-World Examples: Gain insights from exemplary cases of servitization, illustrating how businesses have successfully overcome crisis situations. In an era defined by rapid change and uncertainty, this book empowers readers to harness the potential of technology-driven service models. Whether you're a student seeking to understand these shifts or an entrepreneur looking to adapt and innovate, this resource provides invaluable insights and practical guidance for the post-pandemic business landscape.