Springer Series in Supply Chain Management – serie

This edited book examines the challenges and opportunities arising from today’s sharing economy from an operations management perspective.  Individual chapter authors present state-of-the-art research that examines the general impact of sharing economy on production and consumption; the intermediary role of a sharing platform; crowdsourcing management; and context-based operational problems.Sharing economy refers to a market model that enables and facilitates the sharing of access to goods and services. For example, Uber allows riders to share a car. Airbnb allows homeowners to share their extra rooms with renters. Groupon crowdsources demands, enabling customers to share the benefit of discounted goods and services, whereas Kickstarter crowdsources funds, enabling backers to fund a project jointly. Unlike the classic supply chain settings in which a firm makes inventory and supply decisions, in sharing economy, supply is crowdsourced and can be modulated by a platform.The matching-supply-with-demand process in a sharing economy requires novel perspectives and tools to address challenges and identify opportunities.The book is comprised of 20 chapters that are divided into four parts.  The first part explores the general impact of sharing economy on the production, consumption, and society.  The second part explores the intermediary role of a sharing platform that matches crowdsourced supply with demand.  The third part investigates the crowdsourcing management on a sharing platform, and the fourth part is dedicated to context-based operational problems of popular sharing economy applications.“While sharing economy is becoming omnipresence, the operations management (OM) research community has begun to explore and examine different business models in the transportation, healthcare, financial, accommodation, and sourcing sectors. This book presents a collection of the state-of-the-art research work conducted by a group of world-leading OM researchers in this area. Not only does this book cover a wide range of business models arising from the sharing economy, but it also showcases different modeling frameworks and research methods that cannot be missed. Ultimately, this book is a tour de force – informative and insightful!” Christopher S. TangDistinguished Professor and Edward Carter Chair in Business AdministrationUCLA Anderson School of Management

This book offers a bridge between our current understanding of supply chain risk in practice and theory, and the monumental shifts caused by the emergence of the fourth industrial revolution. Supply chain risk and its management have experienced significant attention in scholarship and practice over the past twenty years. Our understanding of supply chain risk and its many facets, such as uncertainty and vulnerability, has expanded beyond utilizing approaches such as deploying inventory to buffer the initial effects of disruptions. Even with our increased knowledge of supply chain risk, being in the era of lean supply chain practices, digitally managed global supply chains, and closely interconnected networks, firms are exposed as ever to supply chain uncertainties that can damage, or even destroy, their ability to compete in the marketplace. The book acknowledges the criticality of big data analytics in Supply Chain Risk Management (SCRM) processes and provides appropriate tools and approaches for creating robust SCRM processes. Revisiting Supply Chain Risk presents a state-of-the-art look at SCRM through current research and philosophical thought. It is divided into six sections that highlight established themes, as well as provide new insights to developing areas of inquiry and contexts on the topic. Section 1 examines the first step in managing supply chain risk, risk assessment. The chapters in Section 2 encompass resiliency in supply chains, while Section 3 looks at relational and behavioral perspectives from varying units of analysis including consortiums, teams and decision makers. Section 4 focuses on examining supply chain risk in the contexts of sustainability and innovation. Section 5 provides insight on emerging typologies and taxonomies for classifying supply chain risk. The book concludes with Section 6, featuring illustrative case studies as real-world examples in assessing and managing supply chain risk.

The world of retailing has changed dramatically in the past decade. Sales originating at online channels have been steadily increasing, and even for sales transacted at brick-and-mortar channels, a much larger fraction of sales is affected by online channels in different touch points during the customer journey. Shopper behavior and expectations have been evolving along with the growth of digital channels, challenging retailers to redesign their fulfillment and execution processes, to better serve their customers. This edited book examines the challenges and opportunities arising from the shift towards omni- channel retail. We examine these issues through the lenses of operations management, emphasizing the supply chain transformations associated with fulfilling an omni-channel demand.The book is divided into three parts. In the first part, “Omni-channel business models”, we present four studies that explore how retailers are adjusting their fundamental business models to the new omni-channel landscape. The second part, “Data-driven decisions in an omni-channel world”, includes five chapters that study the evolving data opportunities enabled by omni-channel retail and present specific examples of data-driven analyses. Finally, in the third part, “Case studies in Omni-channel retailing”, we include four studies that provide a deep dive into how specific industries, companies and markets are navigating the omni-channel world.Ultimately, this book introduces the reader to the fundamentals of operations in an omni-channel context and highlights the different innovative research ideas on the topic using a variety of methodologies.

The world of retailing has changed dramatically in the past decade. Sales originating at online channels have been steadily increasing, and even for sales transacted at brick-and-mortar channels, a much larger fraction of sales is affected by online channels in different touch points during the customer journey. Shopper behavior and expectations have been evolving along with the growth of digital channels, challenging retailers to redesign their fulfillment and execution processes, to better serve their customers. This edited book examines the challenges and opportunities arising from the shift towards omni- channel retail. We examine these issues through the lenses of operations management, emphasizing the supply chain transformations associated with fulfilling an omni-channel demand.The book is divided into three parts. In the first part, “Omni-channel business models”, we present four studies that explore how retailers are adjusting their fundamental business models to the new omni-channel landscape. The second part, “Data-driven decisions in an omni-channel world”, includes five chapters that study the evolving data opportunities enabled by omni-channel retail and present specific examples of data-driven analyses. Finally, in the third part, “Case studies in Omni-channel retailing”, we include four studies that provide a deep dive into how specific industries, companies and markets are navigating the omni-channel world.Ultimately, this book introduces the reader to the fundamentals of operations in an omni-channel context and highlights the different innovative research ideas on the topic using a variety of methodologies.

This book aims to revisit the “traditional” interaction between channel strategies and the marketing mix in a connected world. In particular, it focuses on the following four dimensions in this context: Consumers, Products, Value Proposition and Sustainability. Keeping in mind the growing digitalization of business processes in the retail world and the move towards omni-channel retailing, the book introduces the state-of-the-art academic and practitioner studies along these dimensions that could enhance the understanding of the potential impact that new technologies and strategies can have on practice in the near future. When launching a new product/service to market, firms usually consider various components of the marketing mix to influence consumers’ purchase behaviors, such as product design, convenience, value proposition, promotions, sustainability initiatives, etc. This mix varies depending on the specific channel and consumer niche that the firm is targeting. But this book shows how channel strategy also influences the effectiveness in utilizing the marketing mix to attract potential customers.

This book aims to revisit the “traditional” interaction between channel strategies and the marketing mix in a connected world. In particular, it focuses on the following four dimensions in this context: Consumers, Products, Value Proposition and Sustainability. Keeping in mind the growing digitalization of business processes in the retail world and the move towards omni-channel retailing, the book introduces the state-of-the-art academic and practitioner studies along these dimensions that could enhance the understanding of the potential impact that new technologies and strategies can have on practice in the near future. When launching a new product/service to market, firms usually consider various components of the marketing mix to influence consumers’ purchase behaviors, such as product design, convenience, value proposition, promotions, sustainability initiatives, etc. This mix varies depending on the specific channel and consumer niche that the firm is targeting. But this book shows how channel strategy also influences the effectiveness in utilizing the marketing mix to attract potential customers.

This book presents state-of-the-art research on responsible operations practices. The book identifies the challenges and opportunities arising from the shift towards responsible business operations and examines these issues through the lenses of operations management, emphasizing the supply chain transformations associated with these changes. Developing a responsible business model presents a great opportunity for firms to differentiate in the marketplace through innovative models and insights around responsible operations and supply chain management. To do so, companies in many industries are changing their practices around sourcing materials, supplier compliance around processes and labor, scientific and sustainable approaches to farming in emerging countries, managing counterfeiting risks, and public health management. Responsible Business Operations: Challenges and Opportunities is divided into three sections. Section 1 focuses on environmental responsibility for companies. It also explores alternative energy solutions for both the developed and developing world, as well as worldwide carbon footprint reduction efforts. Section 2 is dedicated to social responsibility, with chapters covering topics including improving agricultural food chains and humanitarian challenges for businesses. Finally Section 3 promotes ethical responsibility, analyzing ways to improve supplier compliance to product, process and ethical standards.

This book presents state-of-the-art research on responsible operations practices. The book identifies the challenges and opportunities arising from the shift towards responsible business operations and examines these issues through the lenses of operations management, emphasizing the supply chain transformations associated with these changes. Developing a responsible business model presents a great opportunity for firms to differentiate in the marketplace through innovative models and insights around responsible operations and supply chain management. To do so, companies in many industries are changing their practices around sourcing materials, supplier compliance around processes and labor, scientific and sustainable approaches to farming in emerging countries, managing counterfeiting risks, and public health management. Responsible Business Operations: Challenges and Opportunities is divided into three sections. Section 1 focuses on environmental responsibility for companies. It also explores alternative energy solutions for both the developed and developing world, as well as worldwide carbon footprint reduction efforts. Section 2 is dedicated to social responsibility, with chapters covering topics including improving agricultural food chains and humanitarian challenges for businesses. Finally Section 3 promotes ethical responsibility, analyzing ways to improve supplier compliance to product, process and ethical standards.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. The book contains primers on operations, finance, and their interface. After that, each section contains chapters in the categories of theory, applications, case studies, and teaching resources. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing.The balance between theory, applications, and teaching materials make this book an interesting read for academics and practitioners in operations and finance who are curious about the role of new technologies. The book is an attractive choice for PhD-level courses and for self-study.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. The book contains primers on operations, finance, and their interface. After that, each section contains chapters in the categories of theory, applications, case studies, and teaching resources. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing.The balance between theory, applications, and teaching materials make this book an interesting read for academics and practitioners in operations and finance who are curious about the role of new technologies. The book is an attractive choice for PhD-level courses and for self-study.

This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare.In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions.They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.

This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare.In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions.They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. It contains primers on operations, finance, and their interface. Innovative technologies and new business models enabled by those technologies are changing the practice and the theory of Operations Management and Finance, as well as their interface. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing.The book will be an attractive choice for PhD-level courses and for self-study.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. It contains primers on operations, finance, and their interface. Innovative technologies and new business models enabled by those technologies are changing the practice and the theory of Operations Management and Finance, as well as their interface. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing.The book will be an attractive choice for PhD-level courses and for self-study.

From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

This book analyses and proposes solutions to one of the core challenges faced in the Maintenance, Repair and Operations (MRO) supply chains in the oil and gas industry, a field that is currently impacted by low oil prices, emerging technologies and a societal transition to cleaner energies. It describes the end-to-end nature of the oil and gas supply chain, and challenges paradigms and accepted ways of working within the industry – such as wastes driven by broken interfaces, naivete regarding supply chains, and the practice that considers re-organisation to be the answer to these challenges – and identifies opportunities to shift this paradigm towards reliability and value.Moreover, the book shares the authors’ front-line experience and encourages readers to consider deploying the solutions presented in their own contexts. The insights from the book’s 12 modules are based on personal experiences and are industry-generic, allowing them to be transferred to other MRO supplychains. Readers are encouraged to use this book as a reference for their own supply chain transformations.The book is primarily intended for practitioners, including chief operating officers, chief financial officers, chief supply chain officers, engineers and heads of procurement, purchasing, operations, and materials management.

This book analyses and proposes solutions to one of the core challenges faced in the Maintenance, Repair and Operations (MRO) supply chains in the oil and gas industry, a field that is currently impacted by low oil prices, emerging technologies and a societal transition to cleaner energies. It describes the end-to-end nature of the oil and gas supply chain, and challenges paradigms and accepted ways of working within the industry – such as wastes driven by broken interfaces, naivete regarding supply chains, and the practice that considers re-organisation to be the answer to these challenges – and identifies opportunities to shift this paradigm towards reliability and value.Moreover, the book shares the authors’ front-line experience and encourages readers to consider deploying the solutions presented in their own contexts. The insights from the book’s 12 modules are based on personal experiences and are industry-generic, allowing them to be transferred to other MRO supplychains. Readers are encouraged to use this book as a reference for their own supply chain transformations.The book is primarily intended for practitioners, including chief operating officers, chief financial officers, chief supply chain officers, engineers and heads of procurement, purchasing, operations, and materials management.

Every global crisis highlights the strategic importance of industrial and non-profit supply chains for society. In terms of coping with unforeseen and unpredictable events, supply chain resilience enables the parties and networks involved to stay successful during and after the disruption. Furthermore, a resilient supply chain contributes to the sustainable competitive advantage of the entire value chain.Written by scholars and practitioners alike, this book not only puts forward a new framework for resilience in supply chain management, but also presents best practice cases from various areas and industries. As a particular highlight, it includes a Delphi study that gathers state-of-the-art insights from supply chain leaders.In addition to practical approaches, methods and tools, the book also offers food for thought on the future of supply chain resilience. As such, it offers a valuable resource for current and future managers in the public and private sector, as well as researchers and students engaged in this field.

Every global crisis highlights the strategic importance of industrial and non-profit supply chains for society. In terms of coping with unforeseen and unpredictable events, supply chain resilience enables the parties and networks involved to stay successful during and after the disruption. Furthermore, a resilient supply chain contributes to the sustainable competitive advantage of the entire value chain.Written by scholars and practitioners alike, this book not only puts forward a new framework for resilience in supply chain management, but also presents best practice cases from various areas and industries. As a particular highlight, it includes a Delphi study that gathers state-of-the-art insights from supply chain leaders.In addition to practical approaches, methods and tools, the book also offers food for thought on the future of supply chain resilience. As such, it offers a valuable resource for current and future managers in the public and private sector, as well as researchers and students engaged in this field.

This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.

This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.

This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain. Focusing on practical relevance, it shares valuable management insights and addresses key issues in operations management (OM), demonstrating how past research has led to various practices and impacts, while also exploring the aspirations of the latest research. It presents current research on various topics such as global supply chain design, service supply chains, product design, responsible supply chains, performance and incentives in operations, data analytics in health services, new business models in the digital age, and new digital technology advances such as blockchain. In addition, it presents practical case studies on the aforementioned topics.Beyond the value of its contents, the book is intended as a tribute to Professor Morris Cohen, who has been a major contributor to advancing the research frontier in operations management and a driving force in shaping the field.Given its scope, the book will appeal to a wide readership, from researchers and PhD students to practitioners and consultants.

This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain. Focusing on practical relevance, it shares valuable management insights and addresses key issues in operations management (OM), demonstrating how past research has led to various practices and impacts, while also exploring the aspirations of the latest research. It presents current research on various topics such as global supply chain design, service supply chains, product design, responsible supply chains, performance and incentives in operations, data analytics in health services, new business models in the digital age, and new digital technology advances such as blockchain. In addition, it presents practical case studies on the aforementioned topics.Beyond the value of its contents, the book is intended as a tribute to Professor Morris Cohen, who has been a major contributor to advancing the research frontier in operations management and a driving force in shaping the field.Given its scope, the book will appeal to a wide readership, from researchers and PhD students to practitioners and consultants.

This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis.

This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis.

This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management. The chapters highlight the lessons learned, insist on new models for resilience, suggest improved supply chain risk methodologies and bridge the gap between research and practice. It helps readers acquire greater knowledge, strategic approaches, new methods, and practical tools for ensuring global supply chain resilience.

This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management. The chapters highlight the lessons learned, insist on new models for resilience, suggest improved supply chain risk methodologies and bridge the gap between research and practice. It helps readers acquire greater knowledge, strategic approaches, new methods, and practical tools for ensuring global supply chain resilience.

This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range ofindustries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.