The three volumes of Interest Rate Modeling present a comprehensive and up-to-date treatment of techniques and models used in the pricing and risk management of fixed income securities. Written by two leading practitioners and seasoned industry veterans, this unique series combines finance theory, numerical methods, and approximation techniques to provide the reader with an integrated approach to the process of designing and implementing industrial-strength models for fixed income security valuation and hedging. Aiming to bridge the gap between advanced theoretical models and real-life trading applications, the pragmatic, yet rigorous, approach taken in this book will appeal to students, academics, and professionals working in quantitative finance. The first half of Volume III contains a detailed study of several classes of fixed income securities, ranging from simple vanilla options to highly exotic cancelable and path-dependent derivatives. The analysis is done in product-specific fashion covering, among other subjects, risk characterization, calibration strategies, and valuation methods. In its second half, Volume III studies the general topic of derivative portfolio risk management, with a particular emphasis on the challenging problem of computing smooth price sensitivities to market input perturbations.

This book continues the discussion of the effects of artificial intelligence in terms of economics and finance. In particular, the book focuses on the effects of the change in the structure of financial markets, institutions and central banks, along with digitalization analyzed based on fintech ecosystems. In addition to finance sectors, other sectors, such as health, logistics, and industry 4.0, all of which are undergoing an artificial intelligence induced rapid transformation, are addressed in this book. Readers will receive an understanding of an integrated approach towards the use of artificial intelligence across various industries and disciplines with a vision to address the strategic issues and priorities in the dynamic business environment in order to facilitate decision-making processes. Economists, board members of central banks, bankers, financial analysts, regulatory authorities, accounting and finance professionals, chief executive officers, chief audit officers and chief financial officers, chief financial officers, as well as business and management academic researchers, will benefit from reading this book.

This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford's RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.

Soft computing techniques are innovative tools that use nature-inspired algorithms to run predictive analysis of industries from business to software measurement. These tools have gained momentum in recent years for their practicality and flexibility. The Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making collects both empirical and applied research in the field of fuzzy set theory, and bridges the gap between the application of soft computational approaches and the organizational decision making process. This publication is a pivotal reference for business professionals, IT specialists, software engineers, and advanced students of business and information technology.

In this volume, noted experts in a variety of information, business, and management fields offer a comprehensive overview of the role information plays in global business and its impact on competition and competitiveness. At the core of the collection is a common belief in the essential value of information to the modern business and a recognition that the corporate intelligence function must today cope with changing realities produced by both new technology and the globalization of markets. Taking these as their points of departure, the contributors discuss a broad spectrum of corporate intelligence issues ranging from the uses of artificial intelligence and the structure of the corporate intelligence system to the nature of security threats, financial warfare, and corporate risk assessment.

The chapters are divided into five sections and begin with two essays on the emerging interrelated global world order. George Roukis discusses the corporate intelligence process as it embodies the global view, while Hugh Conway shows how modern technology has changed the corporate intelligence function. Three chapters explore the information applications of new technologies, including the use of the computer to further all aspects of corporate intelligence gathering and the emergence of an information industry to serve the needs of intelligence gatherers. The following section contains chapters that address, in turn, the use of intelligence in strategic decisionmaking, coping with bad news, the process of intelligence gathering, and field-marketing intelligence. Turning to a discussion of outside threats to corporate intelligence data security, the contributors examine computer security in general, defense related computer security, and the terrorist threat to corporations. In the final section, the contributors look at a number of strategic challenges. A particularly interesting chapter examines corporate intelligence in Japan; others look at geography and corporate risk assessment, the Soviet foreign intelligence service, and corporate responses to financial warfare. Competitive intelligence and marketing executives, as well as students in international business programs, will find this volume enlightening and provocative reading.

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm

This book presents a selection of the best papers from the 16th International Conference on Business Excellence, "New Challenges of the Century. Digital Economy and the Green Revolution" (ICBE 2022), held in Bucharest, Romania, in March 2022. Showcasing research findings and perspectives on the new challenges posed by the digital economy and research systems, the book offers valuable insights into the present context of global crisis, together with solutions for the real-world challenges we face today.

Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.

Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.

This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

Data is a must-have for any business looking to thrive. So is having leadership who 'get' data and use it to support their decision-making. But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end? Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations. With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.

Emerging technologies such as the Internet and biotechnology have the potential to create new industries and transform existing ones. Incumbent firms, despite their superior resources, often lose out to smaller rivals in developing emerging technologies. Why do these incumbents have so much difficulty with disruptive technologies? How can they anticipate and overcome their handicaps?

Wharton on Managing Emerging Technologies presents insights, tools, and frameworks from leading busi-ness thinkers based on the research of Wharton's Emerging Technologies Management Research Program. This pioneering industry-academic partnership, established in 1994, is one of the longest and broadest initiatives on the management of emerging technologies. For the first time, this book distills the insights from the program into a single volume for managers, covering a wide range of issues related to the successful management of emerging technologies.

The editors contend that managing emerging technologies represents a "different game," requiring a different set of management skills, frameworks, and strategies than those used by established firms to manage existing technologies. In this book, experts from diverse fields examine key issues such as:
* Common pitfalls and potential solutions for incumbent firms in managing emerging technologies
* Strategies for assessing the potential of new markets and designing technologies to take advantage of market "lumpiness"
* The need for scenario planning and "disciplined imagination" to develop strategies under uncertainty
* The limits of patents in protecting gains from technology, and the use of lead time and other strategies
* The power of innovative financial strategies and the use of real options in making investments
* Using alliances and new organizational forms
* Developing a "customized workplace"

Wharton on Managing Emerging Technologies represents a powerful survival kit for managers "dropped behind the lines" of these new technologies. The authors provide a comprehensive set of tools and insights that will help you understand the new challenges and develop effective strategies to succeed at this different game.

Praise for WHARTON on MANAGING EMERGING TECHNOLOGIES

"New technologies are transforming markets, businesses, and society at an ever-increasing rate. We have a critical need for better road maps for managing our way through this new terrain. This book offers critical insights and useful new models for thinking through these challenges."-Professor Thomas Gerrity, Director of the Wharton e-Commerce Forum

"Wharton on Managing Emerging Technologies covers the emerging technology landscape-from strategy to finance to human resources-in a way that only a group of top scholars from many disciplines could do. Insightful, accessible, and smart ideas that make for 'must reading' for thoughtful executives in today's turbulent economy. The authors prove, once again, the power of research to yield deep insight into tough business problems."-Kathleen M. Eisenhardt, Professor of Strategy and Organization, Stanford University and coauthor, Competing on the Edge: Strategy As Structured Chaos

"Wharton on Managing Emerging Technologies provides those of us who live in the chaotic environment of 'discovery by the minute' many ways of thinking about how to make a new idea successful. The collective knowledge and personal wisdom represented in this book is like having a person with hundreds of years of learning and experience sitting on the business team. Wharton on Managing Emerging Technologies is vital to anyone trying to develop new businesses in today's world."-Terry J. Fadem, Director, Corporate New Business Development, DuPont

This book describes a conceptual management system derived from the Business and Technology Relationship Model (BTRM). The BTRM describes the relationship between business and technology and provides simple definitions for service quality, alignment, agility, and governance. It explains our problems with traditional methods, democratizes the management and governance of enterprise technologies, and is suitable for introducing process automation. This book describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, in the context of current, emerging and future technologies. It illustrates the potential for real-time insight and control not previously considered and provides a wide range of information to plan an implementation, understand where AI can be applied, and its importance in the world of self-managing systems. The topic of this book is particularly relevant for business managers, business technology managers and technology service providers.

This handbook distils the wealth of expertise and knowledge from a large community of researchers and industrial practitioners in Software Product Lines (SPLs) gained through extensive and rigorous theoretical, empirical, and applied research. It is a timely compilation of well-established and cutting-edge approaches that can be leveraged by those facing the prevailing and daunting challenge of re-engineering their systems into SPLs. The selection of chapters provides readers with a wide and diverse perspective that reflects the complementary and varied expertise of the chapter authors. This perspective covers the re-engineering processes, from planning to execution. SPLs are families of systems that share common assets, allowing a disciplined software reuse. The adoption of SPL practices has shown to enable significant technical and economic benefits for the companies that employ them. However, successful SPLs rarely start from scratch, but instead, they usually start from a set of existing systems that must undergo well-defined re-engineering processes to unleash new levels of productivity and competitiveness. Practitioners will benefit from the lessons learned by the community, captured in the array of methodological and technological alternatives presented in the chapters of the handbook, and will gain the confidence for undertaking their own re-engineering challenges. Researchers and educators will find a valuable single-entry point to quickly become familiar with the state-of-the-art on the topic and the open research opportunities; including undergraduate, graduate students, and R&D engineers who want to have a comprehensive understanding of techniques in reverse engineering and re-engineering of variability-rich software systems.

This book addresses the concept of organizing which is centered around collective learning and on the organization paradigm. It presents a theory of organizational learning based on a model of memory, explaining processes and dynamics through which memory is built and updated.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.

This book discusses theoretically and empirically the trade-off relationship between the frequency of product adaptation activities and the constraints on development resources, and how companies can respond to these constraints. The objective of this book is to identify effective management practices in continuous product development. With the continuation of development activities, companies are required to constantly adapt their products to changes in the external environment. In continuous product development, the development process extends beyond product release, and interaction with the external environment is not limited to the planning stage but occurs multiple times throughout the process. What impact does the multiple adaptation activities have on the product performance as development activities become more continuous, and how to use limited development resources to provide stable and constant high-quality adaptation activities with optimal frequency have become urgent issues in the development sites. To address these research questions, this book focuses primarily on the development activities of the online game industry. The factors that bring about superior product performance are examined by combining case studies and questionnaire surveys on online game development projects. Furthermore, user community management is also discussed from the perspective of the interaction process between multiple user groups.

Artificial intelligence (AI) and platforms are closely related. Most investments in AI, especially in critical technologies, are provided by large platforms. This book describes how platforms invest in AI and how AI will impact the next generation of competences, following a twofold approach to do so: on the one hand, the book seeks to understand how platforms for investment in intangibles and AI are organized, but on the other hand, it provides a framework to describe how AI will change jobs and competences in the future. Moreover, the book addresses five main themes: 1. platforms, platformization, and the foundations of their business models; 2. artificial intelligence, technological tendencies, and the policy agenda; 3. artificial intelligence, productivity, and the next generation of competences; 4. artificial intelligence, productivity, and the digital divide; 5. artificial intelligence, ethics, and the post-truth society. The book's content is mostly based on papers presented at the last two installments of the World Conference on Intellectual Capital for Communities. It brings together the views of leading scholars and experts on how artificial intelligence and platformization will impact competences in the near future.

This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and techniques. It provides insights on how to develop new strategies for HR professionals in corporates and academicians. This book explores the implication of descriptive, predictive and prescriptive HR analytics practices for different functional domains and in different countries during COVID-19. It brings new dimensions of study in HR analytics which are sure to change after COVID-19 as it has affected the way people are going to work.

"Service Level Agreements for Cloud Computing" provides a unique combination of business-driven application scenarios and advanced research in the area of service-level agreements for Clouds and service-oriented infrastructures. Current state-of-the-art research findings are presented in this book, as well as business-ready solutions applicable to Cloud infrastructures or ERP (Enterprise Resource Planning) environments. "Service Level Agreements for Cloud Computing" contributes to the various levels of service-level management from the infrastructure over the software to the business layer, including horizontal aspects like service monitoring. This book provides readers with essential information on how to deploy and manage Cloud infrastructures. Case studies are presented at the end of most chapters. "Service Level Agreements for Cloud Computing" is designed as a reference book for high-end practitioners working in cloud computing, distributed systems and IT services. Advanced-level students focused on computer science will also find this book valuable as a secondary text book or reference.

Advances in information technology (IT) have influenced how organizations do business. With IT playing such a pivotal role in the operations and success of an organization, it is imperative that it be used strategically. As a repository of cases, Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strategic Alignment contains research that readers can use to assess the e-readiness of their own organizations. This book presents principles, tools, and techniques about e-readiness, while also offering in-depth perspectives on applying the e-readiness model for the purpose of aligning IT with organizational strategies.

In Managing Telework, Jack Nilles illustrates that telework is undeniably the corporate wave of the future on a global level. Telework, or telecommuting, a term coined originally by Nilles, means basically moving the work to the worker instead of the other way around. Although there are both risks and opportunities involved in managing a virtual workforce, the opportunities usually far outweigh the risks. As Nilles explains, the key to a successful virtual workforce is making the best use of those opportunities through proper planning and the development of an appropriate management style. Management philosophy, style, and technique constitute the foundation of this indispensable resource.

Managing Telework provides crucial information on every part of the telecommuting process. Nilles first explores the issues of selecting the right type of telecommuter—candidates who are likely to be effective workers without the structured environment of the office—and how to find or make proper workplaces for an effective telecommuting program. He then goes on to discuss that central, often unspoken managerial fear of telecommuting: the threat of losing control. Nilles explains that leaders, not administrators, are the key players in successful telecommuting, and that leadership can be taught. There must also be a basis of trust between the worker and the manager, and constant, open communication.

Many other pressing topics are discussed in detail, such as how to select the best technology for your specific organization, how to navigate the formal rules and regulations of telecommuting (including union rules and zoning laws), how to measure results, and how to set up a home office. Plus, there is absolutely critical advice provided on other legal, corporate, and cultural issues. This step-by-step guidebook to telework is the only management resource you'll need for the future of business.

Learn how to get out of the office.

A step-by-step guide to managing a successful, efficient, and happy virtual workforce.

"There is no better guide to telework than Jack Nilles. His insights are of growing importance to managers and teleworkers at all levels and sectors of government, business, and industry." —William H. Dutton Professor, Annenberg School of Communication and School of Public Policy and Urban Development at the University of Southern California, and former national director of the UK's Programme on Information and Communication Technologies(PICT)

"From his twenty-five years of pioneering and perfecting telework, Jack Nilles defines the essential leadership philosophy of the successful telemanager and presents his time-tested techniques for Managing Telework. These pages are packed with top-notch expertise. I wouldn't be without it!" —David Fleming Fleming LTD

"In Managing Telework, Jack Nilles describes what managers and workers need to do to create successful telework programs and explains the benefits they can derive from this way of working." —Paul Gray Professor of Information Science, Claremont Graduate University

"Another milestone from the father of telecommuting; an essential reference and stimulation for the biggest change in work organization since Henry Ford." —Peter Johnston Directorate General XIII BI, Telecommunications, Information Market and Exploitation of Research, European Commission

"The success of any telecommuting program hinges on thoroughly training telemanagers and non-teleworkers as well as telecommuters themselves. Nilles presents his guidelines in a practical, straightforward manner. —Margaret A. Klayton-Mi, PhD Associate Professor of Business Administration, Mary Washington College

"A major transformation in the nature of work is in process. Jack Nilles, for years the foremost expert and visionary leader in the field of telecommuting, has written the definitive book on the subject. This is where the future begins. Don't miss it." —Burt Nanus Author, Visionary Leadership Professor Emeritus of Management, University of Southern California

* Covers the entire new venture management process, from ideas to finance to HRM * Now includes international cases in all chapters * Offers a complete and contemporary business plan for students to follow * Includes material on the latest issues in entrepreneurship, such as equity crowdfunding and 'blitzscaling'

Social entrepreneurs are change makers that aim to solve society's unsolved problems. Not surprisingly, social entrepreneurship has thus created high expectations. To better understand the potential as well as the limitations of social entrepreneurship, however, a more nuanced approach is needed in two ways. First, social entrepreneurship is a multi-level phenomenon. It spans macro-level questions as well as meso-level questions and, finally, micro-level questions. If we really want to understand social entrepreneurship, we need to bring together all three levels of analysis and see how they are connected. Second, while social entrepreneurship can certainly produce socially desirable outcomes, we also need a critical perspective to capture potential undesirable effects that social entrepreneurship can cause, often unintendedly, in society, in markets, in organizations, and for individuals. To this end, an ethical perspective can help complement the positive analysis of social entrepreneurship with a discussion of the normative implications of its potential "dark side". Looking at social entrepreneurship from both a multi-level analysis and an ethical perspective, Social Entrepreneurship and Business Ethics takes the reader on a journey through the "bright side" as well as the potential "dark side" of social entrepreneurship for societies, organizations, and individuals. Highlighting both, this book not only seeks to provoke researchers and students to advance their understanding of social entrepreneurship. It also hopes to help practitioners to better realize the positive contributions of social entrepreneurship for society.