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Books in Decision sciences

Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

BooksJournals

    • Fintech and the Remaking of Financial Institutions

      • 2nd Edition
      • John Hill
      • English
      Fintech and the Remaking of Financial Institutions, Second Edition explores the transformative potential of new entrants and innovations on business models. In its survey and analysis of Fintech, this book addresses current and future states of money and banking. It provides broad contexts for understanding financial services, products, technology, regulations, and social considerations. The second edition expands and updates topics covered in the first edition, with particular emphasis on current and expected impact of AI; maturation of crypto and consequent regulatory issues; international developments; and the continued integration of technology advances in large financial institutions. This book shows how Fintech has evolved and will drive the future of financial services. It sheds new light on disruption, innovation, and opportunity by placing the financial technology revolution in larger contexts.

    • Mobility Patterns, Big Data and Transport Analytics

      Tools and Applications for Modeling
      • 2nd Edition
      • Constantinos Antoniou + 2 more
      • English
      Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns—a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning).Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

    • Smart Infrastructure Management

      • 1st Edition
      • Shi Qiu + 3 more
      • English
      People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society’s ever-changing needs.

    • Handbook of the Economics of Conflict

      • 1st Edition
      • Volume 1
      • English
      Handbook of the Economics of Conflict highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Conflict Initiation and the Coase Theorem, Misperceptions and the dynamics of conflict, Power Mismatch, Shocks and Conflict, On the Salience of Ethnic Conflict, Polarization and Conflict, Trade Policy in the Shadow of War: A Quantitative Toolkit for Geoeconomics, Conflict in History, Strategic militarization, Propaganda and Conflict, Climate and Conflict, and The Psychology of Conflict.

    • Multicriteria Decision-Making Analysis for Civil Engineering Applications

      • 1st Edition
      • Hossein Bonakdari + 2 more
      • English
      Decision-making is a key factor to achieve success in any discipline, especially in a field like civil engineering, which is based on calculations and requires large amounts of information being taken into account. Most processes and procedures are a compendium of many different tasks and requirements specific to each project under development, and making decisions in such environments can often be an arduous endeavor. That is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly.As an all-encompassing resource, Multicriteria Decision-Making Analysis for Civil Engineering Applications facilitates civil engineers by outlining state-of-the-art techniques for quantitative decision-making to optimally select the appropriate approach when faced with operational issues or to prioritize among multiple options.Authored by recognized experts in the field, this book proves to be a balanced reference volume that is essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.

    • Decision Support Systems for Sustainable Computing

      • 1st Edition
      • Muhammet Deveci
      • English
      Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

    • Stampede Theory

      Human Nature, Technology, and Runaway Social Realities
      • 1st Edition
      • Philip Feldman
      • English
      Stampede Theory: Human Nature, Technology, and Runaway Social Realities explores the biological, evolutionary and technological systems that drive troubling patterns of behavior among groups while also proposing actions to combat harm. The book discusses different ways that living beings coordinate and how the emergence of communication technologies has changed behaviors. As the problem of echo chambers and misinformation grows, it is crucial to understand underlying causes and provide solutions—this book does just that by pulling from multiple fields to produce a coherent story about how social realities are created and how they can create resilient communities or reinforce damaging beliefs. This interdisciplinary approach rests on three primary pillars: 1) How information systems affect the distribution of ideas, information, influence and belief; 2. Technology-mediated communication between individuals and groups, from stories pressed into clay tablets to “likes” on social media; 3) The sociology of behavioral bias in groups ranging from teams to nations. Because of its interdisciplinary foundations, the book includes chapters that address behavioral economics, cults, artificial intelligence, and the individual psychology of belief. This will be a valuable resource for a range of readers, from political and social scientists to decision-makers in government and business, scientists in the fields of machine learning and AI, and more.

    • Handbook of Mobility Data Mining, Volume 2

      Mobility Analytics and Prediction
      • 1st Edition
      • Haoran Zhang
      • English
      Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.

    • Handbook of Mobility Data Mining, Volume 3

      Mobility Data-Driven Applications
      • 1st Edition
      • Haoran Zhang
      • English
      Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality.

    • Handbook of Mobility Data Mining, Volume 1

      Data Preprocessing and Visualization
      • 1st Edition
      • Haoran Zhang
      • English
      Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.

Related subjects

Decision sciences and computers

Decision sciences applications

Operations research management science methods