This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

This new Edition of Electronic Commerce is a complete update of the leading graduate level/advanced undergraduate level textbook on the subject. Electronic commerce (EC) describes the manner in which transactions take place over electronic networks, mostly the Internet. It is the process of electronically buying and selling goods, services, and information. Certain EC applications, such as buying and selling stocks and airline tickets online, are reaching maturity, some even exceeding non-Internet trades. However, EC is not just about buying and selling; it also is about electronically communicating, collaborating, and discovering information. It is about e-learning, e-government, social networks, and much more. EC is having an impact on a significant portion of the world, affecting businesses, professions, trade, and of course, people. The most important developments in EC since 2014 are the continuous phenomenal growth of social networks, especially Facebook , LinkedIn and Instagram, and the trend toward conducting EC with mobile devices. Other major developments are the expansion of EC globally, especially in China where you can find the world's largest EC company. Much attention is lately being given to smart commerce and the use of AI-based analytics and big data to enhance the field. Finally, some emerging EC business models are changing industries (e.g., the shared economy models of Uber and Airbnb). The 2018 (9th) edition, brings forth the latest trends in e-commerce, including smart commerce, social commerce, social collaboration, shared economy, innovations, and mobility.

This book lays the foundations for quality modeling and analysis in the context of supply chains through a synthesis of the economics, operations management, as well as operations research/management science literature on quality. The reality of today's supply chain networks, given their global reach from sourcing locations to points of demand, is further challenged by such issues as the growth in outsourcing as well as the information asymmetry associated with what producers know about the quality of their products and what consumers know. Although much of the related literature has focused on the micro aspects of supply chain networks, considering two or three decision-makers, it is essential to capture the scale of supply chain networks in a holistic manner that occurs in practice in order to be able to evaluate and analyze the competition and the impacts on supply chain quality in a quantifiable manner. This volume provides an overview of the fundamental methodologies utilized in this book, including optimization theory, game theory, variational inequality theory, and projected dynamical systems theory. It then focuses on major issues in today's supply chains with respect to quality, beginning with information asymmetry, followed by product differentiation and branding, the outsourcing of production, from components to final products, to quality in freight service provision. The book is filled with numerous real-life examples in order to emphasize the generality and pragmatism of the models and tools. The novelty of the framework lies in a network economics perspective through which the authors identify the underlying network structure of the various supply chains, coupled with the behavior of the decision-makers, ranging from suppliers and manufacturers to freight service providers. What is meant by quality is rigorously defined and quantified. The authors explore the underlying dynamics associated with the competitive processes along with the equilibrium solutions. As appropriate, the supply chain decision-makers compete in terms of quantity and quality, or in price and quality. The relevance of the various models that are developed to specific industrial sectors, including pharmaceuticals and high technology products, is clearly made. Qualitative analyses are provided, along with effective, and, easy to implement, computational procedures. Finally, the impacts of policy interventions, in the form of minimum quality standards, and their ramifications, in terms of product prices, quality levels, as well as profits are explored. The book is filled with many network figures, graphs, and tables with data.

This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance the reliability and safety of products and services. The book offers a valuable guide for practitioners and researchers working in the fields of quality management, decision making, information science, management science, engineering, etc. It can also be used as a textbook for postgraduate and senior undergraduate students.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today's environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: * an introduction to the method/methodology * a numerical example/application in marketing * references to other marketing applications * suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.

Why is the Mona Lisa the most famous painting in the world? Why did Facebook succeed when other social networking sites failed? Did the surge in Iraq really lead to less violence? How much can CEO's impact the performance of their companies? And does higher pay incentivize people to work hard?
If you think the answers to these questions are a matter of common sense, think again. As sociologist and network science pioneer Duncan Watts explains in this provocative book, the explanations that we give for the outcomes that we observe in life--explanation that seem obvious once we know the answer--are less useful than they seem.
Drawing on the latest scientific research, along with a wealth of historical and contemporary examples, Watts shows how common sense reasoning and history conspire to mislead us into believing that we understand more about the world of human behavior than we do; and in turn, why attempts to predict, manage, or manipulate social and economic systems so often go awry.
It seems obvious, for example, that people respond to incentives; yet policy makers and managers alike frequently fail to anticipate how people will respond to the incentives they create. Social trends often seem to have been driven by certain influential people; yet marketers have been unable to identify these "influencers" in advance. And although successful products or companies always seem in retrospect to have succeeded because of their unique qualities, predicting the qualities of the next hit product or hot company is notoriously difficult even for experienced professionals.
Only by understanding how and when common sense fails, Watts argues, can we improve how we plan for the future, as well as understand the present--an argument that has important implications in politics, business, and marketing, as well as in science and everyday life.

"Applications of Management Science" is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids the dissemination of actual applications of management science in both the public and the private sectors. Volume 14 is directed toward the application of management science to multi-criteria decision making, Data Envelopment Analysis (DEA) and financial performance analyses. This volume is arranged in three sections. The first section focuses on multi-criteria decision making; the second focus is on the application of DEA to public schools, paper mills, nursing home quality, retailing, health care services, and performance efficiencies in cities. The third section focuses on multi-dimensional performance of a national stock market and the effect of organizational structure on micro-financial institutions. This volume will prove to be most valuable to those interested in financial performance measurements, productivity measurement and analysis, and management science, both as practitioners and researchers.

From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability.The first book to describe how analytics are changing the business landscape, updated with new information on predictive analytics, AI, and automation.Describes the specific attributes of firms that are analytical competitors and how they use business intelligence and analytics to make better decisions, execute more effectively, and optimize businesses processes.Lays out a five-stage model for becoming an analytical competitor and developing analytical capabilities.Show how companies are applying analytics across the enterprise: from finance and HR, to R&D and manufacturing.Shows how analytics transform relationships between customers and suppliers.Presents the key steps and capabilities for becoming an analytical competitor.Audience:Managers in all functional areas in organizations of all kinds (not strictly IT).Senior leaders who want to build an analytic capability in their organization and drive an enterprise-wide approach to analytics.Consultants.Vendors of analytical solutions and services.

This book develops and assesses a decision-making model for resource management in complex work systems in line with the "Systems Engineering" method. It applies the Balanced Scorecard to the development of the criteria system for decision-making, and employs fuzzy linguistics theory to evaluate the alternatives. Further, the book assesses the application of this model in a hospital that has to decide whether or not to outsource its sterile goods. The use of the model opens up a diverse range of fields for decision-making in the area of complex work systems.

How Behavioral Economics Influences Management Decision-Making: A New Paradigm critically reexamines the management function in 21st century workplaces. The book seeks to examine and explain the real-world behaviors of employees and acknowledge the human nature that binds us all together and how to appeal to these characteristics in order to help organizations prosper. It explores well-observed but rarely understood features of employee cognition and irrationality, challenging the dominant discourse and offering an alternative to gain greater competitive advantage in today's complex markets. It also provides an effective new framework on the best ways to develop relevant management skills as they pertain to hiring, performance management, change management, employee engagement, and goal setting. As the knowledge economy continues to grow, the social bonds within companies will prove to be a key differentiation to deliver on the next big idea. Developing productive decisions with staff in the talent-driven global economy increasingly requires the development of "intrinsic" meaning in work, a human-centered work-place culture, and human-focused working practices. This book tackles these topics in comprehensive and efficient detail.

"Brick by Brick" takes you inside the LEGO you've never seen. By following the teams that are inventing some of the world's best-loved toys, it spotlights the company's disciplined approach to harnessing creativity and recounts one of the most remarkable business transformations in recent memory.
"Brick by Brick" reveals how LEGO failed to keep pace with the revolutionary changes in kids' lives and began sliding into irrelevance. When the company's leaders implemented some of the business world's most widely espoused prescriptions for boosting innovation, they ironically pushed the iconic toymaker to the brink of bankruptcy. The company's near-collapse shows that what works in theory can fail spectacularly in the brutally competitive global economy.
It took a new LEGO management team - faced with the growing rage for electronic toys, few barriers to entry, and ultra-demanding consumers (ten-year old boys) - to reinvent the innovation rule book and transform LEGO into one of the world's most profitable, fastest-growing companies.
Along the way, "Brick by Brick" reveals how LEGO:
- Became truly customer-driven by co-creating with kids as well as its passionate adult fans
- Looked beyond products and learned to leverage a full-spectrum approach to innovation
- Opened its innovation process by using both the "wisdom of crowds" and the expertise of elite cliques
- Discovered uncontested, "blue ocean" markets, even as it thrived in brutally competitive red oceans
- Gave its world-class design teams enough space to create and direction to deliver
built a culture where "profitable" innovation flourishes
Sometimes radical yet always applicable, "Brick by Brick" abounds with real-world lessons for unleashing breakthrough innovation in your organization, just like LEGO. Whether you're a senior executive looking to make your company grow, an entrepreneur building a startup from scratch, or a fan who wants to instill some of that LEGO magic in your career, you'll learn how to build your own innovation advantage, brick by brick.

Future Trends: A Guide to Decision Making and Leadership in Business is the first and only book to link a decision-making and leadership platform to trends pointing to the future. By identifying sixty global, long-term trends and detailing how businesspeople can leverage them in both the short- and long-term, the book provides readers with a powerful body of knowledge unavailable anywhere else. In Future Trends, consultant and futurist Larry Samuel: *Identifies sixty significant and opportunistic global, long-term trends; *Details how businesspeople can leverage each trend in both the short- and long-term via a decision-making and leadership platform; *Helps readers be recognized as a trusted source and "go-to" person in their respective field by becoming more fluent in the future; *Takes a 360-degree, holistic view of tomorrow by examining cultural, economic, political, social, scientific, and technological trends; *Steers clear from here-today-gone-tomorrow things and experiences that comprise most glimpses into the emerging cultural landscape Future Trends is divided into six sections covering Cultural Trends, Economic Trends, Political Trends, Social Trends, Scientific Trends, and Technological Trends. Each section includes ten trends that indicate where the world is heading. Many futurists focus on technology, forgetting the fact that the ways in which people actually live their lives are shaped by many other factors. Future Trends thus takes a 360-degree, holistic view of tomorrow, offering readers a fuller understanding of life on Earth over the next couple of decades.

This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What You'll Learn Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available Who This Book Is For Financial analysts, data practitioners, and risk/business professionals; also appropriate for graduate level finance, business, or data science students

A tried and tested formula for business planning What is the one thing you need to know in business? What s the single most important aspect of business to master in order to succeed and grow? It has to be planning. Whether you re sitting down to plan a whole brand strategy or tasked with planning a single product and taking it to market, nailing the planning and decision making will ensure you have full buy-in from all stakeholders, a high level of market knowledge, know exactly what value your product or service brings and a thorough understanding of how the financials will work. In short, you ll have an idea that succeeds. Ross Lovelock and his company SCQuARE have spent the last 20 years developing a formula for such planning. Ross has shared this formula with some of the world s leading companies now he s going to share it with you. The One Thing You Need to Know is a complete business planning toolkit. * A simple, implementable explanation of how to bring a product plan or a brand strategy together * Will teach you the critical business skill of creating and selling plans * Learn how to think through a complex business problem, create the right solution and then sell it through the corporate maze * Explains exactly how to distil vast amounts of information into a compelling business story that will warrant a YES decision from the boss

When confronted with an ethical dilemma, most of us like to think we would stand up for our principles. But we are not as ethical as we think we are. In "Blind Spots," leading business ethicists Max Bazerman and Ann Tenbrunsel examine the ways we overestimate our ability to do what is right and how we act unethically without meaning to. From the collapse of Enron and corruption in the tobacco industry, to sales of the defective Ford Pinto, the downfall of Bernard Madoff, and the Challenger space shuttle disaster, the authors investigate the nature of ethical failures in the business world and beyond, and illustrate how we can become more ethical, bridging the gap between who we are and who we want to be.

Explaining why traditional approaches to ethics don't work, the book considers how blind spots like ethical fading--the removal of ethics from the decision--making process--have led to tragedies and scandals such as the "Challenger" space shuttle disaster, steroid use in Major League Baseball, the crash in the financial markets, and the energy crisis. The authors demonstrate how ethical standards shift, how we neglect to notice and act on the unethical behavior of others, and how compliance initiatives can actually promote unethical behavior. They argue that scandals will continue to emerge unless such approaches take into account the psychology of individuals faced with ethical dilemmas. Distinguishing our "should self" (the person who knows what is correct) from our "want self" (the person who ends up making decisions), the authors point out ethical sinkholes that create questionable actions.

Suggesting innovative individual and group tactics for improving human judgment, "Blind Spots" shows us how to secure a place for ethics in our workplaces, institutions, and daily lives.

Project teams are the rule, rather than the exception, in today's organizations. But, thanks to the pressure of performance goals, conflicting agendas, and political jockeying, few teams make consistently superior decisions. In "Moving Out of the Box: Tools for Team Decision Making" author Jana M. Kemp, an authority on team decision making, saves the day by offering tested methods and tools that teams and leaders can use to ratchet up their performance level.
The book argues that making good decisions involves expansive group conversation that leads to sound conclusions and swift execution. This sounds simple, but in many organizations, making a decision and seeing it through can become an exercise in frustration for managers and employees alike. At one end of the spectrum are "command-and-control" decisions, proclaimed from on-high and implemented through the ranks without input or buy-in from those affected by the decision. This approach can lead to resentment and backlash. At the other end are purely collaborative, consensus-driven decisions that often lead to inoffensive, weak choices and sub-par results.
"Moving Out of the Box" shows that there is a time for consensus, a time for command-and-control, and a time to integrate both approaches. Providing examples of successes and failures, the text identifies five decision-making profiles--antisurvival, boxed-in, neutral, engaged enthusiasm, extreme excitement--to help you position yourself in relation to your teammates, facilitate discussion, and steer your group toward the most effective end point. The text includes scenarios, exercises, quizzes, sample questions, and other conversation starters. And, the book ends with a blueprint for putting decisions into action.

This book constitutes the refereed proceedings of the 17th International Conference on Group Decision and Negotiation, GDN 2017, held in Stuttgart, Germany, in August 2017. The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 14 full papers presented in this volume were carefully reviewed and selected from 87 submissions. They were organized in topical sections named: general topics in group decision and negotiation; conflict resolution; emotions in group decision and negotiation; negotiation support systems and studies; and preference modeling for group decision and negotiation. The book also contains two invited talks in full paper length.

Political speeches don't just mirror what transpires in the world; they have the potential to change people's minds, move them into action, reinforce existing assumptions, and reshape cultures. They define public participation and are the 'nexus points' of disparate discourses, both nationally and globally. Because of their power to sustain the status quo or effect change, speeches warrant public attention and careful study. To examine them is to understand how they are crafted, what elements they possess, and how these elements come together to affect their audience. This volume analyzes selected speeches delivered by Benigno 'Noynoy' Simeon C. Aquino III, President of the Republic of the Philippines from 2010 to 2016. They are speeches that have been used to shape public perception, gain support, and build identification between Aquino's presidency and his audience. By mobilizing the concepts of presidential image, myth, metaphors, and rhetorical citizenship, readers are guided through a process of examining the rhetorical trajectory of the Philippine presidency, how a president's discourse has attempted to shape Philippine socio-political reality, and how the evolving milieu the president has found himself in shapes his discourse. The essays in this volume will hopefully generate a discussion not only on the place of President Benigno Aquino's rhetoric in Philippine presidential history, but also of how rhetorical practices in an evolving democratic society in Asia can extend and expand theorizations of presidential rhetoric and political communication at large.

Macroeconomic turbulence and volatility in financial markets can fatally affect firm's performance. Very few firms make serious attempts to inform market participants and other outsider stakeholders about the impact of macroeconomic fluctuations--manifested as changes in exchange rates, interest rates, inflation rates and stock market returns-- on performance. These stakeholders, as well as financial analysts, must make their own assessments but they generally lack both the required tools and the information to do so. Worse, top management in most firms do not themselves possess the tools to identify whether a change in performance represents a change in the firm's intrinsic competitiveness or a reflection of macroeconomic conditions outside their influence.
Corporate Decision-Making with Macroeconomic Uncertainty: Performance and Risk Management develops and presents in an easily comprehensible way the essential elements of a corporate strategy for managing uncertainty in the macroeconomic environment. This Macroeconomic Uncertainty Strategy, or MUST, enhances firm value by allowing management and external stakeholders to become better informed about the development of corporate competitiveness in a turbulent macroeconomic environment. The MUST also provides guidelines for how to develop a successful risk management program.
This research based book includes methods to identify the impact of macroeconomic fluctuations on cash flows and value, to develop strategies for macroeconomic risk management, to provide informative reports to external stakeholders, to evaluate the relative performance of subsidiaries and business units in multinational companies, and to evaluateperformance for purposes of setting executive compensation and of fulfilling the due diligence requirements in an M & A context. The authors' use of value-based management, various performance measurements, the concept of real options, and risk management from the perspective of shareholder wealth maximization, makes the book rich and compelling. They address researchers and students in the field of international business, finance and corporate governance. On the business side, executives with strategic responsibilities, chief financial officers, and bankers who analyze corporate performance and give advice on risk management will benefit from reading this book.

These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme "Data-Driven Decision-Making." The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

Stimulating and developing the creative potential of all members of an organisation is widely seen as contributing to performance and results. This prestigious textbook provides a complete overview of the creative problem-solving process and its relevance to modern managers in the private and public sectors. It introduces ideas, skills and models to help students understand how creative thinking can aid problem solving, and how different techniques may help people who have different thinking and learning styles. This updated fifth edition includes fresh case studies, exercises and suggested reading, alongside extensive diagrams and thought-provoking questions. A new chapter considers the use of heuristics in decision-making situations faced by managers, and examines how aspects of creative problem solving can relate to such situations. It also introduces a complex in-tray exercise, which demonstrates how the conflicting demands on an individual manager can be considered in practice. Supporting PowerPoint slides for lecturers are available for each chapter. Creative Problem Solving for Managers will continue to be an ideal resource for undergraduate and postgraduate students studying problem solving, strategic management, creativity and innovation management, as well as managers looking to develop their decision-making abilities.