The epistemological and methodological issues within management sciences constitute a difficult area for theoretical reflection. The main goal of this book is to deepen epistemological and methodological reflection concerned with the foundations of organization and management in order to broaden the methodological awareness of researchers from the field of management sciences. This book does not describe paradigm change; it points out possible evolutional directions for management reflection. The key matter is to convince of the uncertainty and of the contextual nature of the knowledge obtained through management.

It's not what we know, but how we learn. This is the key that Learning to Read the Signs uses in order to evaluate and apply ideas and facts to one's organization life. The book asks the reader to go back to and reclaim pragmatism: an activity of thought involving four parts: Investigation, Hypothesis, Action, and Testing. Pragmatism is a method of interpretation or inquiry which offers to the thoughtful business practitioner a way to better understand the reality in which we operate, to think critically and creatively, and for business people to think together to make the best use of all our perspectives and talents. Questions raised in this book include: What are the signs telling us? Where are we headed and why? Why are things going the way they are? What is our purpose?

Scholarly interest in the areas of sustainability, stakeholder relations and corporate social responsibility (CSR) has increased considerably in recent years. In this volume, we take a step back to consider the fundamental questions that underlie and tie research across these areas together. The chapters in this volume cover a wide range of theoretical perspectives grounded in strategy, economics and sociology, employ various methodological approaches, and offer new arguments on the connections that exist between firms' decisions relating to sustainability, CSR, and the governance of their stakeholder relations. The chapters in this volume highlight that business decisions relating to sustainability and CSR are ultimately decisions about the governance of stakeholder relations, and suggest that future work in these areas should consider more closely both the firms and their stakeholders as strategic actors driving firm decisions.

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 book takes a fresh look at safety decision-making by documenting and examining stories told by front-line managers in three different high-hazard industries: a chemical plant, a nuclear power station and an air-navigation service provider. From Piper Alpha to Deepwater Horizon, accident analysis has stressed the importance of excellent decision-making by those in charge out in the field. Organizations rely critically on the judgement and experience of such senior operations personnel and yet these qualities are undervalued in a business environment that emphasises documentation and measurement. Whilst operational managers are guided by rules, they also draw on their own long experience and can formulate a situation-specific 'line in the sand' to apply the experience of the operating team to complex, real-world situations that rule writers may not have foreseen. This volume refocuses our attention on the people who make these important decisions and the organizational processes that support the best choices. Jan Hayes uses her multi-disciplinary experience to draw together an account of safety decision-making that is both technically robust and yet accessible to academics, practitioners and regulators alike. Readers will see that the stories retold in this book provide a way for operational managers to share their knowledge, experience and expertise - with each other and with us.

This book considers the problem of determining how many barrels of crude oil an oil-producing and exporting country should produce annually for export along with several other important problems that decision-makers in the crude oil industry face and discusses procedures for finding optimum solutions for them. It considers the important Objective Functions they need in making these critical decisions, and discusses procedures to find the best solutions. Outputs from the treatment units, in an oil refinery are only semi-finished products; these are blended into finished products like gasoline, diesel oil, etc., meeting various specifications that the marketplace demands. The book discusses models for solving these problems optimally with examples.

This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The book pursues three major objectives: (1) to introduce the calculus models with concrete mathematical expressions for generalized intuitionistic multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved approaches bymilitary case. The book is especially valuable for readers to understand how the theoretical framework of generalized intuitionistic multiplicative fuzzy calculus is constructed, not only discrete or continuous but also correlative (generalized) intuitionistic (multiplicative) fuzzy information is aggregated based on the definite integral models and the theory with a military practice is integrated, which would deepen the understanding and give researchers more inspiration in practical decision analysis under uncertainties.

The Microeconomics of Wellbeing and Sustainability: Recasting the Economic Process explores the civil economy tradition in economic thought. Gaining increasing consensus worldwide, this alternative-not heterodox-view of the economic process and agents explains how modern economics is placing increasing emphasis on the determinants of subjective wellbeing and environmental sustainability. With support from behavioral economics, this book makes a foundational contribution that will help users better understand and prepare for future economic challenges.

Why are vast sums spent on controlling some risks but not others? Is there any logic to the techniques we use in risk regulation? These are key questions explored in The Government of Risk. This book exposes the components of risk regulation systems and examines their interaction and explanation. The approach employed is of a high policy relevance as well as of considerable theoretical importance.

Making decisions is a critical part of every executive's job. However we know so little about the often subliminal processes that shape the decisions we make. The Secret Life of Decisions exposes the unchallenged myths and distortions that impact our reasoning ability, raising our awareness of the many traps we can fall into. Meena Thuraisingham and her collaborator, Wolfgang Lehmacher, have drawn from decades of work with leaders showing that even the most talented leaders and teams can end up making sub-optimal decisions. This is rarely because they had poor critical thinking faculties but rather because they did not pay enough attention to the often invisible traps hardwired into our thinking processes, letting through only information that conforms with our current beliefs, mental models and expectations. This leaves many leaders and businesses exposed. Rather than being the rational output of our reasoning abilities, the authors show decision making to be a highly imprecise process. As decision makers we come to the table armed with our own perspectives, preferences, filters, heuristics and biases, influenced by a broad range of social influences many operating subliminally. The Secret Life of Decisions is an essential read for developing and seasoned executives who have to work through increasingly complex and high stakes decisions. It treats choosing wisely and the thinking involved as a skill, which as with many other skills, can be improved with the guided practice and supporting tools provided here. The journey however starts with awareness that comes from outing the 'secret' forces that can sabotage the quality of our decisions.

Based on courses developed by the author over several years, this book provides access to a broad area of research that is not available in separate articles or books of readings. Topics covered include the meaning and measurement of risk, general single-period portfolio problems, mean-variance analysis and the Capital Asset Pricing Model, the Arbitrage Pricing Theory, complete markets, multiperiod portfolio problems and the Intertemporal Capital Asset Pricing Model, the Black-Scholes option pricing model and contingent claims analysis, 'risk-neutral' pricing with Martingales, Modigliani-Miller and the capital structure of the firm, interest rates and the term structure, and others.

Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and analytics helps the manager to analyze decision situations, prevent problem situations from arising, identify new opportunities, and often enables many millions of dollars to be added to the bottom line for the organization. The objective of this book is to introduce analytics from the perspective of the general manager of a corporation. Rather than examine the details or attempt an encyclopaedic review of the field, this text emphasizes the strategic role that analytics is playing in globally competitive corporations today. The chapters of this book are organized in two main parts. The first part introduces a problem area and presents some basic analytical concepts that have been successfully used to address the problem area. The objective of this material is to provide the student, the manager of the future, with a general understanding of the tools and techniques used by the analyst.

This book is a seminal contribution to decision making theory through its study of management decision making in six Beijing state enterprises during the period 1985 to 1989, when the government adopted decentralization as the key to reforming state industries. Through interviews, document surveys and analysis, the author provides a unique insight into not only the changes, but also the complex relations among managers, the Communist Party organization and planning authorities. Readers will gain a richer understanding of Chinese management issues and society.

In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization s competitiveness and profitability.
The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches.

Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory.

Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.

Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Develop the mindset and presence to successfully manage others for the first time. If you read nothing else on becoming a new manager, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you transition from being an outstanding individual contributor to a great manager of others. This book will inspire you to: * develop your emotional intelligence * influence your colleagues with the science of persuasion * assess your team and enhance its performance * network effectively to achieve business goals and for personal advancement * navigate relationships with employees, bosses, and peers * get support from above * view the big picture in your decision-making * balance your team's work and personal life in a high-intensity workplace

Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy. In the Second Edition, Petitti has added new material on cumlative meta-analysis and the exploration of heterogeneity, incorporated recommendations for standardizing the conduct of cost-effectiveness analysis, and updated the rest of the text.

The authors of this book argue that firms succeed or fail in their industries according to the degree that they are able to change what they do to meet changing market decisions. The authors present a framework for managing the process of organizational transformation, and the tools that are necessary to manage that change.

This volume addresses the subject of uncertainty from the point of view of an extended conception of rationality. In particular, the contributions explore the premises and implications of plausible reasoning when probabilities are non-measurable or unknown, and when the space of possible events is only partially identified.

In the last few years, competition has become increasingly more complex, variable and dynamic, as can be seen in phenomena like globalization and technological acceleration. To cope with the dynamism and uncertainty of competition, enterprises need capabilities that enable them to respond to competition, as well as to improve their analytical skills and knowledge in order to better manage new strategic projects.

Strategic analysis uses both quantitative and qualitative tools to understand both competitive contexts and available company resources. In Strategic Analysis: Processes and Tools, author Andrea Beretta Zanoni develops a theory of strategic analysis and offers models for the application of strategic analysis tools during all phases of the process including planning and decision-making, the development of control, and the formulation of a strategic diagnosis.

Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory.

Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques-and some that employ simulation-based intelligent algorithms-to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions.

Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.

People are happiest and most productive if they can choose what they work on and who they work with. Self-selecting teams give people that choice. Build well-designed and efficient teams to get the most out of your organization, with step-by-step instructions on how to set up teams quickly and efficiently. You'll create a process that works for you, whether you need to form teams from scratch, improve the design of existing teams, or are on the verge of a big team re-shuffle. Discover how New Zealand's biggest e-commerce company completely restructured their business through Self-Selection. In the process, find out how to create high-performing groups by letting people self-organize into small, cross-functional teams. Step-by-step guides, easy-to-follow diagrams, practical examples, checklists, and tools will enable you to run a Self-Selection process within your organization.If you're a manager who wants to structure your organization into small teams, you'll discover why Self-Selection is the fastest and safest way to do so. You'll prepare for and organize a Self-Selection event and make sure your Self-Selection participants and fellow managers are on board and ready.If you're a team member, you'll discover what it feels like to be part of a Self-Selection process and what the consequences are for your daily work. You'll learn how to influence your colleagues and bosses to be open to the idea of Self-Selection. You'll provide your manager with a plan for how to facilitate a Self-Selection event, and with evidence that the system works.If you're feeling the pain and chaos of adding new people to your organization, or just want to ensure that your teams have the right people with the right skills, Self-Selection will help you create the effective teams you need.

This book is comprised of international author perspectives from the 2016 Australian Association for Professional and Applied Ethics (AAPAE) conference, hosted by the University of South Australia in Adelaide. The volume brings to life a number of the conference themes including corporate social responsibility, culture, academic integrity, vulnerability, health, military ethics, education, leadership, sustainability and philosophy and addresses concerns of many leading applied ethicists.

Virtually every organisation today realises the need to change in order to succeed. Success can only come through good management which, itself, needs to be driven by leaders. This book illustrates how a leader can systematically create a business that is better at satisfying customers, is more effective at using its human resources and is more rewarding to its owners. The authors achieve this by:
* looking at how a leader can best understand and quantify the pressures on the organisation from customers, shareholders and existing employees
* explaining how the leader can set about formulating a vision and strategy for the business which will respond to these pressures
* providing a prescription for defining the array of management practices needed to foster the organisational culture that is best able to facilitate the strategy.
This book provides the insights and practical tools for any leader to achieve competitive advantage in their organisation.
"This book draws from experience to create a path of light and logic through the most difficult of business territories-the territory of change. The authors maintain careful balance between the academic and the pragmatic, but with the obvious passion for the need to do something to bring the human element back into the world of work." Sir Colin Marshall, Chairman of British Airways and President of the CBI.
"For anyone interested in organizational transformation and the human spirit engaged in that pursuit, this is the book not just to read but to have by one's side. This book has the conceptual depth, the gift of clarity and the practical examples that should make it required reading for every leader." ProfessorWarren Bennis, Distinguished Professor of Business Administration, University of Southern California, Los Angeles, USA and author of Organizing Genius.

This book will help business and commercial professionals, who are bombarded with information from which they must draw conclusions to make valid business judgements. Underpinned by research and methodology, but carefully and wittily written to avoid the subject falling into the trap of being dull, this book offers a very accessible way for business people to understand their current deciphering processes and to find new ways of interpreting information to make better judgements.