This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research.

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.

This book offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management” it addresses the topics of supply chain risks and resilience in more depth, describing the major features of supply chain resilience and explaining methodologies to mitigate supply chain disruptions and recover. Numerous practical examples and short case studies are provided to illustrate theoretical concepts. Without relying heavily on mathematical derivations, the book explains major concepts and methods to build and improve supply chain resilience and tackle supply chain disruption risks in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/PhD students and supply chain professionals alike will benefit from the structured, didactically oriented and concise presentation of the concepts, principles and methods of supply chain resilience management, modeling, and technological implementation.

This book presents innovative operations research applications in business, specifically industrial engineering and its sub-disciplines. It investigates new perspectives in operations research and management science with regard to research methods, the research context, and industrial engineering, offering readers a broad range of new approaches to management problems. The book features the latest work of researchers who have worked with Professor Fusun Ulengin or built upon her work in their academic careers. Written in honor of Prof. Ulengin, this book was edited by her former Ph.D. students, who are now experts in operations research, multiple criteria decision making, competitiveness, logistics, and supply chain management. Prof. Ulengin’s impact in academia is visible in the range of topics and methodologies featured in this book: Location and transportation problems, competitiveness of nations, food supply chains, debt collection, mathematical modelling, multiple criteria decision making, data envelopment analysis, random forests, and Bayesian networks.

The international cast of authors in this important book explore how internationalizing small and medium sized enterprises (iSMEs) face major crises, such as COVID-19, and have managed them to reach a stable and desired state post-crisis. Chapter orientations vary from theoretical to empirical. Each focuses on issues related to a major crisis, and present already-deployed success strategies in 14 different country environments. The rich diversity of chapters offers a highly significant and timely contribution to the field.

The COVID-19 pandemic has adversely affected the supply chains of all sectors of business worldwide. The pandemic has made it evident that by managing supply chains in a traditional manner organizations will no longer be able to achieve profits and improve customer satisfaction. This calls for immediate structural changes in organizations, flexible organizational culture, and a sense of urgency to redefine strategies related to supply chains. The Handbook of Research on Supply Chain Resiliency, Efficiency, and Visibility in the Post-Pandemic Era explores diverse strategies for achieving capabilities related to supply chain resilience and seeks to expand the existing body of knowledge in this area. It develops models, frameworks, and theoretical concepts related to supply chain resilience to enhance efficiency and improve visibility of supply chains. Covering topics such as change management, production relocation, and supply chain risk, this book is an essential reference for business leaders, corporate executives, industry practitioners, researchers, academicians, educators, and students.