Companies of all kinds have fallen into some of the most fundamental of traps when it comes to consumer marketing; in assuming that the motivation that drives their customers is entirely rational. Enrico Trevisan's The Irrational Consumer builds on the ground breaking works on behavioural economics of authors such as Daniel Kahneman and Richard Thaler in order to explain the fundamental drivers of customer decisions and how to incorporate these into your business strategy. Learn how consumers respond to different offer architectures and discounts; why they sometimes struggle to see the wood for the trees in a world of ever-increasing options; what are the rules of thumb they develop for making sense of value. Behavioural economics offers organizations perspectives for engaging with customers, whose views on what to buy are strongly driven by contextual factors, such as the framework and the dynamics of choices. Enrico Trevisan's The Irrational Consumer is your 'must-have' primer to this world.

This book presents healthcare logistics solutions that have been successfully implemented at a variety of healthcare facilities. In each case, a major challenge is presented, along with the solution approach and implementation steps, followed by the impact on hospital operations. Problems encountered when implementing the results in practice are also discussed. Much of the work presented is drawn from the experiences of members of the Center for Healthcare Operations Improvement and Research (CHOIR) at Twente, along with the CHOIR spin-off company, Rhythm.

This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in B ethlehem, Pennsylvania, USA between August 16-18, 2017. The conference brought together a diverse group of researchers and practitioners working on both theoretical and practical aspects of continuous and discrete optimization. Topics covered include algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic andstochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The selected contributions in this book illustrate the broad diversity of ideas discussed at the meeting.

Although much has been written about the Korean public administration, the international academic community has little knowledge about it as most of the literature has been written in Korean. This book aims to provide more accessible knowledge internationally by filling that gap, covering both the history and the current status of the Korean public administration. This book is a collaboration of many Korean public administration scholars and would appeal to those interested in the secrets of Korea's rapid development in such a short span of time. Each chapter covers historical contexts, key to understanding its public administration and an important aspect as Korea is a fast changing society. The book takes on a more pragmatic approach rather than to put the Korean experiences into the western theory. Each chapter therefore provides an extensive discussion on the lessons-learned and practical implications.

The essays collected in this volume present a broad survey of the state of the art in logistics systems research as viewed by a distinguished group of scholars. The book shows that logistics remains an active, vibrant subject of inquiry. There are several reasons for this continued development. Firstly, logistic systems are extremely complex with many inherent technical problems and fundamentally new approaches to the subject are frequently arising. Secondly, the practical world of logistics has changed markedly over the past few decades, posing significant new challenges to researchers. This volume focuses mainly on the key developments in the last decade, which has witnessed an astonishing leap in our understanding of what logistics is all about.

Most successful companies have operations management at their heart. It enables strategy and should be part of boardroom discussions. However, Cranfield research has shown that business strategy barely recognises the world of operations management. Recognising that operations management needs to be more strategic, Business Operations Models is a revolutionary new title that looks at the interrelationship of operations management and strategy. In Business Operations Models, Martin Christopher and Alan Braithwaite identify the characteristics of market-leading businesses that have transformed their markets and delivered super performance for their stakeholders. It points to the theory gap between strategic thinking and operations and how many high-performing businesses arrive at their new operating models as much by chance as judgement. Unpacking those observations leads to some clearly defined features of winning competitors, including eliminating waste, leveraging technology, and utilising transformative business models. Business Operations Models offers a framework for achieving super performance and understanding when and how a company may be able to leverage its capabilities to outperform. The book provides detailed international case studies that illustrate how the principles work in practice, including Apple, Dell, Amazon, John Lewis, Southwest airlines, Aldi, Toyota and many others.

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics. The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try out the algorithms and techniques discussed.

In all periods of time, there is a perceived shortage of qualified, credible, and robust leadership skills. At the same time, what is regarded as skilled leadership is contingent on economic, political, institutional, and cultural conditions specific for a period of time or a local setting. Leadership in the era of managerial capitalism was focused on planning and administration, and was seated in large-scale, divisionalized corporations. In the 1970s, this economic model started to wane and leadership was advanced as the solution to a series of economic and social concerns, now being a matter of meaning-making in the face of uncertainty and ambiguity. With the expansion of the finance industry and the deregulation of finance markets in the 1990s and in the new millennium, yet another leadership model increasingly prioritized economic value creation. In parallel to the economic, political and institutional changes, the idea of leadership has been strongly informed by new ideas about individualism and masculinity, adding to the understanding of leadership as what is anchored in widespread social beliefs about for example healthy life styles, the virtues of physical exercise, and novel gender relations. Aimed at scholars, researchers, students and policy makers in the fields of Leadership, Management History and Organizational Theory; Leadership Varieties examines predominant ideas about the qualities and virtues of leadership in a historical and cultural perspective.

This volume showcases the presentations and discussions delivered at the 2018 POMS International Conference in Rio. Through a collection of selected papers, it is possible to review the impact and application of operations management for social good, with contributions across a wide range of topics, including: humanitarian operations and crisis management, healthcare operations management, sustainable operations, artificial intelligence and data analytics in operations, product innovation and technology in operations management, marketing and operations management, service operations and servitization, logistics and supply chain management, resilience and risk in operations, defense, and tourism among other emerging Operations Management issues. The Production and Operations Management Society (POMS) is one of the most important and influential societies in the subject of Production Engineering and, as an international professional and academic organization, represents the interests of professionals and academics in production management and operations around the world.

Robert Cooper, who died in 2013, was the leading theorist of organization working in England over the past few decades. Describing himself as a 'social philosopher,' he was one of the first writers to introduce post-structuralist and post-modern thought into theories of organization but was always reluctant to reduce what he did to being part of 'Management.' Instead, he concentrated on thinking about organizations and organizing, working with ideas about entity and process views of organizations, and also the dualisms of organization/environment, organization/disorganization, and concentrating particularly on ideas of the boundary or seam which divides and conjoins. He wrote about, and was influenced by systems theory and post-structuralist philosophy, particularly Whitehead, Bateson, Deleuze, Derrida, Foucault and Simmel. Cooper has already been the subject of much commentary but much of his work is not well known, and it deserves a wider readership. The purpose of this collection is to gather together a body of essays which are widely dispersed in journals and edited collections. This is a repository of pieces and extracts which stand the test of time, and scholars will benefit from a collection which pulls together some of his most influential work. The collection also contains two essays, one biographical and one intellectual, about Cooper and his work.

Assessing Business Excellence presents a strategic framework for business excellence and total quality management and shows how you can be actively involved in continuous improvement by systematically reviewing your business activities and results against holistic business excellence frameworks. For all practitioners who seek to use total quality management to improve their organization's effectiveness, efficiency and responsiveness, this title is the essential route map to business excellence. From two leading expert authors comes a book where the most recognized quality award criteria are used to explore the concepts of business excellence and self-assessment. This book: * Introduces the major business excellence and total quality frameworks including The Malcolm Baldrige National Quality Award and the European Quality Award and ISO9000:2000 * Compares the frameworks and identifies their strengths and limitations * Introduces the self-assessment process * Explores the main approaches to self-assessment * Illustrates the practical benefits of self-assessment through case examples

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains.

Derivatives Algorithms - Volume 1: Bones (Second Edition) is for practicing quants who already have some expertise in risk-neutral pricing and in programming, and want to build a reusable and extensible library. Rather than specific models, this volume provides foundations common to all pricing, such as C++ code structure, interfaces, and several widely used mathematical methods. It also presents a set of protocols, by which models and trades can collaborate to support pricing and hedging tasks, and illustrates their use with several example trade types and models. Readers will learn to deploy the results of their research work with productivity-enhancing methods that are not taught elsewhere, including object serialization, code generation, and separation of concerns for continuous improvement. Of all the books on derivatives pricing, only Derivatives Algorithms shows the internals of a high-quality working library.The new Second Edition is more accessible to readers who are not already familiar with the book's concepts; there is an increased focus on explaining the motivation for each step, and on providing a high-level perspective on design choices. The chapters on Persistence and Protocols have been substantially rewritten, providing motivating examples and additional detail in the code. The treatment of yield curves and funding has been modernized, with the increased sophistication required by today's markets. And a new final chapter, describing the next phase in the evolution of derivatives valuation and risk, has been added.

Multicriteria analysis is one of the most important fields of decision science. This book gives an outline of the formulation of an appropriate model and presents a comprehensive summary of the most popular methods for solving multicriteria decision problems. In addition to the classical approach the book introduces fuzzy and stochastic methodology, models with uncertainty, social choice and conflict resolution. All methods are illustrated with easy to follow simple examples. At the end of each chapter detailed case studies are given in water and environment management including inter-basin water transfer, urban water management, water allocation, groundwater quality management, forest treatment, ranking water resources projects, reservoir planning, water distribution network design and long-term watershed management. The new methodology and the wide variety of case studies are not easily accessible elsewhere.

This book will explore a new approach to airport planning that better captures the complexities and velocity of change in our contemporary world. As a result, it will lead to higher performing airports for users, business partners, investors and other stakeholders. This is especially pertinent since airports will need to come back better from the Covid-19 pandemic. The book explains the importance of articulating a clear strategy, based on a rigorous analysis of the competitive landscape while avoiding the pitfalls of ambiguity and 'virtue signalling'. Having done so, demand forecasts can be developed that resemble S-curves, not simple straight lines, that reflect strategic opportunities and threats from which a master plan can be developed to allocate land and capital in a way that maximizes return on assets and social licence. The second distinctive feature of this book is the premise that planning an airport as an island, a fortress even, does not work anymore given how interconnected airports are with other components of the transportation system, the economies and communities they serve and the rapid pace of social and technological change. In summary, the book argues that airport planning needs to move beyond its traditional boundaries. The book is replete with real examples from airports of all sizes around the world and includes practical advice and tools for executives and managers. It is recommended reading for individuals working in the airport business or the broader air transport industry, members of airports' board of directors, who may be new to the business, elected officials, policy makers and urban planners in jurisdictions hosting or adjacent to airports, regulators, economic development professionals and, finally, students.

This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. In addition to theoretical considerations, numerous illustrative examples are included. Hence, the book can be used as a teaching text as well. Only a modest mathematical background is needed to understand the main principles. The only prerequisites are a) familiarity with linear algebra, especially matrix calculus; b) knowledge of the simplex method; and c) familiarity with the use of computer software. The book is organized as follows. Chapter 1 provides motivation and introduces the basic concepts. Chapter 2 provides the basic ideas and models of Data Envelopment Analysis. The efficient frontier and production possibility set concepts play an important role in all considerations. That's why these concepts are considered more closely in Chapter 3. Since the approaches introduced in this study are inspired by Multiple Objective Linear Programming, the basic concepts of this field are reviewed in Chapter 4. Chapter 5 also compares and contrasts Data Envelopment Analysis and Multiple Objective Linear Programming, providing some cornerstones for approaches presented later in the book. Chapter 6 discusses the traditional approaches to take into account preference information in DEA. In Chapter 7, Value Efficiency is introduced, and Chapter 8 discusses practical aspects. Some extensions are presented in Chapter 9, and in Chapter 10 Value Efficiency is extended to cover the case when a production possibility set is not convex. Three implemented applications are reviewed in Chapter 11.

Accessible and easy to read guide in the best-selling Basics series The ideal guide for beginners or non-specialists who need to grasp the fundamentals of management User-friendly approach, including features such as key terms for each chapter, chapter summaries and annotated suggestions for further reading Draws on many examples from around the world including North America (such as Enron, Coca Cola and General Motors) Interdisciplinary appeal - will also sell to the Leisure & Tourism market, Arts Management and Media Management markets New edition includes the topics of globalisation, CSR, entrepreneurship, sustainability, risk, resilience and disaster management

Heavy industrialization in the past few decades has caused several global environmental issues including poor air quality, climate change, and outdoor air pollution-related diseases. As such, consumer pressure coupled with strict governmental policies have influenced firms to adopt and implement green practices in their supply chain and business operations in order to improve socio-environmental sustainability. Global Perspectives on Green Business Administration and Sustainable Supply Chain Management is an essential reference book that discusses innovative green practices including recycling, remanufacturing, reduction in waste and adoption of renewable energy in manufacturing. It also examines environmentally friendly policies that have been adopted by many European and Western countries. Featuring coverage on a broad range of topics such as energy analysis, environmental protections, and logistics development, this book is ideally designed for managers, operations managers, executives, manufacturers, environmentalists, researchers, industry practitioners, academicians, and students.

Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

Offers fundamental theories and practical and more sophisticated applications of Evolutionary Computation in varied industries Provides insight into various platforms, paradigms, techniques, and tools used in Evolutionary Computation for diverse fields Presents an understanding related to optimization, performance tuning, virtualization, deployment models, and their applications Covers a variety of applications for social and essential models and is based on real life examples Useful for decision making based on optimized data through Evolutionary Computation in multi-dimensions

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data.Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the 'value' of a Decision Making Unit (DMU).

This book examines practically useful management and people skills, and looks at competencies from the micro, meso, and macro- lens. At the micro- level, the book examines a range of competencies needed for managing oneself and others in a project environment, such as personality style, cognitive skills, communication skills, and emotional intelligence. The book will also includes discussion on strategies for managing emotions of self and others effectively. At the meso- level, the book discusses basic structure, characteristics, and importance of different types of teams such as virtual teams, project teams, domain specific teams, and heavy-weight teams in organizations to enhance productivity and delegate accountability. It also explores team processes, including structure, culture, supporting systems, performance and incentive systems, and their impact on team productivity. In addition, the book includes a discourse on skills to manage a multi-generational workforce (a combination of baby boomers, X and Y generation), a challenge faced by project managers in current scenario. Finally, at the macro- level, the book captures the role of culture in a project context; emerging leadership styles in projects, maintaining relationship with internal and external stakeholders; role of power, politics and influence in relationship building (social networks and social capital); and managing conflicts and negotiations. The book presents ethical considerations in managing projects; relationship between projects and sustainability; societal responsibilities of projects; advantages and disadvantages of forms of control in projects (behaviour and outcome control). It is positioned primarily for practitioners although it is a relevant and useful resource and reference for academics and students of project management and management studies courses.

This book presents a general conceptual framework to translate principles of system science and engineering to service design. Services are co-created immaterial, heterogeneous, and perishable state changes. A service system includes the intended benefit to the customer and the structure and processes that accomplish this benefit. The primary focus is on the part of the service system that can reproduce such processes, called here a Service Machine, and methodological guidelines on how to analyze and design them. While the benefit and the process are designed based on the domain knowledge of each respective field, service production systems have common properties. The Service Machine is a metaphor that elicits the fundamental characteristics of service systems that do something efficiently, quickly, or repeatedly for a defined end. A machine is an artifact designed for a purpose, has several parts, such as inputs, energy flows, processors, connectors, and motors assembled as per design specifications. In case of service machine, the components are various contracts assembled on contractual frames. The book discusses Emergency Medical Services (EMS) and Emergency Departments (ED) as cases. They illustrate that service machines need to be structured to adapt to the constraints of the served market acknowledging the fact that services are co-created through the integration of producers' and customers' resources. This book is highly recommended for those who are interested in understanding the fundamental concepts of designing service machines.

This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling.
The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.