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.

A smart port is defined as a port that uses technologies such as big data, AI, and IoT to manage transportation and logistics services. Smart Port Management and Strategy covers the design, operation and applications of a smart port to improve capacity and productivity. The book has been written by the author from an operations management perspective with the aim of providing technical knowledge to readers on how to use technology for optimizing port performance. Key Features: - Eight key topics relevant to smart port management - Focus on calculations and technical operations - Guidance on OCR, RFID and sensor technologies for gates - Includes information about port performance measurement - Includes access to Korean Port MIS - Covers automation equipment such as AGV, ARMGC, and remote control QC - Includes port simulation, digitization strategies and financial analysis Smart Port Management and Strategy is the definitive resource for anyone, whether they are professionals in transportation services or students of civil engineering or operations management, who want to learn about smart ports and how they are managed.

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.

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.

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.

Business Models and Innovative Technologies for SMEs focuses on technologies such as data analytics, artificial intelligence and data as a service. As these technologies offer new possibilities, small and medium enterprises (SMEs) often struggle to grasp their full potential within evolving business landscapes. Five reviews discuss the potential of these technologies to drive SME growth. The book also highlights the need for a strategic approach to overcoming challenges faced by SMEs to create innovative business models such as limited resources, infrastructure hurdles, and financial limitations. The chapters explore diverse facets of business model innovation, covering strategic models for mobile application development, the critical role of cybersecurity culture, readiness assessments, digital transformations leveraging artificial intelligence, expert systems' impact on competitiveness, and the adoption of data as services in SMEs. Each chapter is tailored to provide actionable insights drawn from theory and, where possible, real-life case studies, addressing questions related to technological benefits, innovative strategies, and challenges in implementing digital transformations for SMEs. This book caters to a wide audience of academics, researchers, policymakers, and business practitioners deeply invested in SME development, offering practical solutions and theoretical frameworks. The combination of scholarly and practical approaches towards developing and implementing innovative strategies, makes it a valuable resource for readers seeking to understand and support SME growth.

This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.

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.

Green economics refers to the discipline in which economists and businesses pursue policies that are conducive to minimizing environmental and ecological damage and therefore sustainable development. Progress in Green Economics primarily focuses on developments in the transition of different industries and sectors to a sustainable, environment-friendly economic model. The book presents 7 chapters that cover different topics that reflect these developments in the field from a number of academic and practical angles. The topics covered in the book include a review of the Food Energy Water Waste (FEWW) paradigm in Asian countries, an analysis of green economic forces in the Arctic region, green economics for protected area tourism, a conceptual analysis of green economics strategy, sustainable development and green banking in South Africa, and six sigma methodology for implementing green economic policies in different industries. Each chapter is organized into reader-friendly sections and is supplemented with references for the benefit of more involved scholars. The multi-regional perspectives, along with the theoretical and practical information on the topic make this reference a timely and handy resource on green economics and sustainable development for academics, scholars, industrialists, policymakers and economics enthusiasts alike.

Digital Transformation in Education and Artificial Intelligence: Emerging Markets and Opportunities aims to shed light on the various advantages and drawbacks of the same along with the opportunities and markets that are emerging because of digital transformation. This volume encompasses diverse perspectives on the digital landscape for Small and Medium Enterprises (SMEs). It delves into the use of digital tools like Big Data, IoT, AI, and ML in Chapter 1, followed by an exploration of factors influencing online shopping adoption in SMEs in Ghana (Chapter 2). Chapter 3 sheds light on the digital transformation of African SMEs, while Chapter 4 offers insights into the consequences of digitalization for SMEs in Sub-Saharan Africa. The subsequent chapters cover topics such as the impact of Big Data on SMEs' performance, digitization initiatives for African telecom service providers, the role of social media as a promotional tool for SMEs in Ghana, and the utilization of Artificial Intelligence by SMEs in Africa, addressing both benefits and challenges. The chapters provide information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, entrepreneurs, researchers, and students interested in digital transformation in Africa.