There have been two critical leadership approaches. First Generation Leadership (command and control) was the dominant model until the 1940s. Second Generation Leadership (compliance coupled with rewards and punishments) is still dominant today. This approach is being rejected by 'Generation Y ', threatening the longevity of traditional organisations. In Third Generation Leadership and the Locus of Control, Douglas Long acknowledges the need for a leadership approach that elicits engagement, commitment, and enhanced personal, group, and organisational accountability. This is Third Generation Leadership. At its core lies the issue of where we centre our brain's locus of control and how this impacts on our understanding of and approach to leadership. With examples from everyday situations, underpinned by research, this book is about understanding and applying aspects of neuroscience critical for tomorrow's world. It provides a framework for addressing problems through insights into how the way we use our brains affects values, worldviews and behaviours. The author introduces the concept of 'red zone - blue zone' to explain the differences between a brain controlled by its stem-limbic areas (red zone) and the limbic-cortical cortex areas (blue zone). This becomes a short hand for describing and applying knowledge from neuroscience to encourage practitioners in leadership and management roles to achieve desired outcomes through becoming acquainted with different areas of their brain. Anyone grappling with what is required to deal with Generation Y people in a networked and mobile age will welcome this introduction to the world of third generation leadership.

There was much development of both education and industry in post-World War II Britain. There was, on the one hand, an extension of public education to the secondary school stage and the substantial financial help that was available, which meant that increasing numbers were going to university. On the other, there had been immense advances in scientific and technical knowledge and its application to industry. These advances in industry produced an increase in the demand for trained graduates. This book, first published in 1957, examines this correlation, and provides guidance for both graduates and hiring managers. This title will be of interest to students of human resource management and business studies.

In this title, first published in 1918, Lord Leverhulme explores the ideas of co-partnership, piece-work, housing, and the benefits of shorter hours of labour. The most notable of these discussions, collected by Stanley Unwin, with a Preface by Lord Haldane, advocates a six-hour day, with two shifts, in all industries in which the overhead charges are equal to or larger than the cost of weekly wages. Lord Leverhulme's view is that the employees work better in a short working day and might produce as much in six hours as in eight hours, and that in any case the machinery could be utilized more profitably by running for the double shift of twelve hours than for the single shift of eight hours. This seminal work will be of interest to students of business studies and human resource management.

In this thought-provoking book Dr Newman looks beyond the conventional techniques of problem solving to the underlying process. He identifies eight stages and explains how to recognize which technique is appropriate to which stage. On this basis managers can generate solutions at both the personal and the organizational level. He shows: c how to overcome the four main obstacles to developing a balanced problem solving style c how to manage the relationship between problem solving style and stress c how to use physical movement as an aid to problem solving. A unique feature of the book is a Problem Solving Styles Profile that enables each reader to apply the material in the text to improve their own problem solving capability. Written in a lively and practical style and drawing on examples from a wide range of real-life problems, Dr Newman's book is certain of a warm welcome from managers, team leaders and professionals of every kind.

On the solution of an optimal search problem with an exponential detection function. Covers one- and two-sided detection problems by furnishing continuous and discret time strategies; examines two-sided search strategies with solutions in hide and seek games in many discrete and continuous bounded

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 considers a range of problems in operations research, which are formulated through various mathematical models such as complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the book subsumes all these models under a common structure that allows them to be formulated in a unique format: the Ky Fan inequality. It subsequently focuses on this unifying equilibrium format, providing a comprehensive overview of the main theoretical results and solution algorithms, together with a wealth of applications and numerical examples. Particular emphasis is placed on the role of nonlinear optimization techniques - e.g. convex optimization, nonsmooth calculus, proximal point and descent algorithms - as valuable tools for analyzing and solving Ky Fan inequalities.

We are living in the post-information age, the era of so-called 'Big Data'. It is a practical possibility for corporations to report, chart and analyse every action, transaction and click that happens inside and outside their business. In Decision Sourcing Roberts and Pakkiri examine what this means to organisational decision making. They explode the myth that good decisions need only be informed ones through an examination into how business really make choices. They lay bare the poverty of decision making processes in today's corporate world and offer fresh and fascinating insight into how social tools are providing new sources of information, how they are challenging hierarchy and how they are providing opportunities for growth and agility through aligned and inclusive decision making. This book is for those organisations that want to get beyond the corporate Facebook account and are ready for the next bold step. It is for those businesses that want to engage their workforce and their customers in collaborative relationships that are at the heart of the successful social enterprise.

The focus of Supply Chain Engineering is the engineering design and planning of supply chain systems. There exists a very large variety of supply chain system types, all with different goals, constraints, and decisions, but a systematic approach for the design and planning of any supply chain can be based on the principles and methods of system engineering. In this book, author Marc Goetschalckx presents material developed at the Georgia Tech Supply Chain and Logistics Institute, the largest supply chain and logistics research and education program in the world. The book can be roughly divided into four sections. The first section focuses on data management. Since most of planning and design requires making decisions today so that supply chain functions can be executed efficiently in the future, this section introduces forecasting principles and techniques. The second section of the book focuses on transportation systems. First, the characteristics of transportation assets and infrastructure are shown. Then four chapters focus on the planning of transportation activities depending on who controls the transportation assets. The third section of the book is focused on storing goods, and the last section of the book is focused on supply chain systems that consider simultaneously procurement, production, and transportation and inventory as well as the design of the supply chain infrastructure or network design. In each chapter, first a model of the process being studied is developed followed by a description of practical solution algorithms. More advanced material is typically described in appendices. This makes it possible to use an integrated, breath-first treatment of supply chain systems by using the initial material in each chapter. A more in depth treatment of a specific topic or process can be found towards the end of each chapter. End-of-chapter exercises are included throughout. This text is suitable for several target audiences. The first target is a course for upper-level undergraduate students on supply chains. The second target is the use in a capstone senior design project in the supply chain area. The third target is an introductory course on supply chains either in a master of engineering or a master of business administration program, and the final audience consists of students attending logistics or supply chain post-graduate or continuing education courses.

Conventional wisdom says that Europe's crisis is a financial crisis. But is this really the case? In Industrial Poverty, economist Sven R. Larson, challenges this view and suggests instead that Europe is in a state of permanent economic decline. The crisis, says Larson, is in fact a welfare-state crisis. Over decades, government has grown too big for the private sector to pay for; when the recession hit in 2008 most European economies could no longer bear the burden of the welfare state. Raging deficits, accelerating unemployment and harsh austerity policies hurled the continent into more than a regular recession. Europe is entering a new economic state: industrial poverty. Using Sweden in the 1990s as an example, Larson shows how a welfare-state crisis combined with the wrong kind of austerity policies replaces prosperity with industrial poverty. In a desperate effort to balance the budget and save the welfare state in the midst of the crisis, the Swedish government subjected the country to some of the toughest austerity measures on record. The outcome was a permanent reduction in the standard of living for Swedish families as well as the standard of government services. Today, Europe is going through the same transition into industrial poverty. Tomorrow, it could be the United States, unless Congress and the President take decisive action against the runaway budget deficit.

In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems - systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence - and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad cow disease, terrorist attacks, and accidental or deliberate failures in telecommunications network infrastructure. This book was written for a broad range of practitioners, including decision risk analysts, operations researchers and management scientists, quantitative policy analysts, economists, health and safety risk assessors, engineers, and modelers.

Over 20 years ago Philip Sadler, then head of a leading British business school, wrote Managerial Leadership in the Post-Industrial Society. In it he predicted that business would experience the most radical transformation since the Industrial Revolution of the 19th century. This transformation has now taken place. In his latest book, Sustainable Growth in a Post-Scarcity World, Sadler charts developments once envisaged by Keynes, Chase, Galbraith and Packard, and more recent radical thinkers such as Chris Anderson. Sadler describes how many goods and services have moved from relative scarcity to relative abundance, and asks how this trend can be reconciled with the global issues of population growth and climate change. He assesses the impact of new technologies, new energy sources, new materials and the development of artificial intelligence, on business, government and economics, and discusses the challenges ahead - the creation of new business models, the need to meet people's legitimate expectations of improved living conditions while avoiding environmental catastrophe, and the need to adapt ideas developed in scarcity to conditions of abundance. Why is it that in countries foremost in creating post-scarcity conditions, millions are still in poverty, and billions, worldwide, still lack basic necessities of life? Philip Sadler agrees with those who say the relief of global poverty cannot rely on aid and corporate philanthropy. He explores the idea of re-engineering products and delivering them into bottom-of-the-pyramid (BOP) markets, and concludes that the more global companies take this route, as some are already doing, the more profitable they will find it, and this will in turn help the poorest people who currently pay more for goods and services - the 'poverty penalty' - than the rich.

Developing economies such as those in sub-Saharan Africa are searching for realistic economic policy prescriptions. Despite economic growth in countries like Nigeria, poverty and unemployment blight the lives of many, in the midst of plenty. Simultaneously, much neo-classical economic thought is being questioned against the backdrop of global economic meltdown, giving rise to inquiry about more integral approaches to sustainable development. In An Integral Approach to Development Economics, Basheer Oshodi examines modernization theories, dependency theories, world system theories and emerging 21st century economic theories and links a neo-modern mix of economic thought with the practicalities of finance in parts of the World where poverty is rife. In a specifically African setting, over half of the population are Muslims, Oshodi considers Islamic finance in the context of the triple heritage of indigenous culture, Westernized Christianity, and Islam. He argues that the principles of Islamic banking and finance can be integrated with other elements of that heritage, focusing on meeting the challenges of poverty and unemployment. Islamic finance is not just a religiously-oriented, Sharia-compliant, alternative financial model. It can contribute to overall socio-economic transformation and a wider, people-centred approach to economic development. International organizations, financial institutions, reserve banks, policy makers, donor agencies and students will find resonance in this valuable addition to Gower's Transformation and Innovation Series.

Andy Garlick's book explores the role of quantitative techniques in modern risk management. Risk management has grown in importance in most organisations in the last 20 years, but in many remains simply a matter of processing lists of risks and actions. The author argues that this fails to make the most of the techniques available and that organisations can improve their risk decision making by using risk models. His book describes a broad range of modelling techniques, all illustrated by business-relevant examples. The role of the models in decision making is also discussed, with particular emphasis on what the risk premium - the price people charge for accepting risk - is and should be. In order to provide a self contained account the underpinning material from probability and decision theory is also included, so that the book will provide a handy reference guide for all practitioners. The discussion is consistently informal, and the book provides a critical view of the accepted wisdom in risk management. This book will enable managers and their specialist advisors to improve their approach to risk whilst removing the mystique.

Increasingly in the public discourse there are references to the knowledge economy, knowledge society, knowledge workers and knowledge organisations. The argument is that knowledge is becoming the main economic resource, replacing the natural resources that drove the industrial revolution. The new knowledge economy is driven by knowledge development, innovation and highly skilled employees. Increasing investment in higher education and in universities is in line with this strategy and understanding. In an earlier book, Creating Collaborative Advantage edited with Richard Ennals, Professor Hans Christian Garmann Johnsen argued that it is knowledge that links social and economic processes. He believes that what is missing in the current discussion on innovation is a conceptualisation of exactly what knowledge is. In The New Natural Resource, he digs deeper into what it is and how it develops and subsequently leads to widespread change. The author argues that knowledge is inherently a social phenomenon. That is why social processes are closely linked to economic development, and why this relationship becomes even more apparent in the new knowledge economy. Knowledge is not an objective entity, established once and for all. Knowledge development is interrelated with values, norms, perceptions and interpretations. We need to know what the mechanisms are by which knowledge becomes legitimate, true and relevant.

Architects and engineers can build models to test their ideas - why not managers? In Game Theory in Management: Modelling Business Decisions and Their Consequences, author Michael Hatfield presents a series of mathematically structured analogies to real-life business and economic interaction scenarios, and then, using modern game theory, he shows how to test common managerial technical approaches for their effectiveness. His results are astonishing: if game theory is correct then many commonly-held and taught management approaches and techniques are not only less effective than thought, they are actually detrimental in many areas where they are held to be beneficial. Game Theory in Management also examines managerial implications from network theory, cartage schemes, risk management theory, management information system epistemology, and other areas where the quantification and testing of business decisions can be employed to identify winning and losing stratagems.

We need strategy. The world is changing, the future uncertain. What is required is vision: What might the future bring? Where is our business going? What are our fundamental business values? This book is a manual for all those who want to apply strategy in organisations. It is intended for everyone who wants to put the future on the agenda, to look beyond the short term and beyond mere profit. It describes in practical terms the eight questions we must continually discuss in order to pursue a future-proof strategy in a dynamic and uncertain world: mission, trends, scenarios, options, vision, roadmap, action and monitoring. If you are dissatisfied with an approach to strategy based on simple backward looking analysis, management controls and problems solving after the fact, but would like to make a positive contribution to thinking about the future, Scenario-based Strategy offers the instruments to turn your intention into practice. The text provides examples from commercial to government and trade organizations; showing how others have undertaken future explorations and how they used these explorations to create a dynamic strategy. Paul de Ruijter has a deep insight into the theory, alongside practical experience working with some of the most highly regarded and resilient organizations. The result is a rich combination of methodology and practical, engaging examples that shows you how to go about creating an agenda for the future.

This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a teaching text or as a source of reference. It is widely used for teaching statistics in schools.

This book is the productof my research at the EndowedChair of Corporate Finance and Capital Markets at the European Business School. Many people devoted their inspiration, time, and knowledge in order to support me with my interdisciplinary research. Thank you all for your support. Especially, I thank my academic supervisor Prof. Ulrich Hommel, Ph.D., who provided me with the freedom to pursue my research interests and who always s- ported me generously. In addition, I am very grateful to my co-supervisor Prof. Dr. Susanne Strahringer (TU Dresden), who graciously accepted the task of refer- ing my book. Also, I thank Prof. Dr. Matthias Krause of the Chair for Theoretical Computer Science in Mannheim for the technical and computer scienti?c support. During my research visits I received generous support from Prof. Yaneer Bar- Yam (NECSI and Harvard) and Prof. John D. Sterman (MIT), who introduced me to the ?eld of System Dynamics and Complex Systems, as well as from Prof. Victor Mossotti (U.S. Geological Survey), Prof. Hiroki Sayama (NECSI and Bingh- ton), Prof. Markus de Aguiar (Universidade Estadual de Campinas), Prof. Michel Baranger (MIT), Prof. Jay W. Forrester (MIT), and Prof. Brian D. Josephson (Cambridge). Thank you very much for numerous inspiring discussions.

Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: * An emphasis on new approaches rather than only classical and traditional ideas * Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions * Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management * Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified * Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.

Uncertainty affects us in our everyday lives, and in a wide range of situations but how do individuals and indeed organisations respond to uncertainty and how does it impact their decision-making and actions? Based on the latest developments in academic research, the author offers solid advice on how to manage uncertainty in every-day life, bringing a new perspective to these issues and extrapolating this to offer implications for an organisational and managerial context. The author brings this emerging area of research to a wider audience by: Tying together insights from various fields including psychology, engineering, business and management. Creating a framework for usefully applying the research concepts in every-day life. Extrapolating insights from the psychology of individual decision makers to the organisational context and managerial decision-making. Creating highly applicable and impactful recommendations for how managers, organisations, and every day people can understand and manage uncertainty in their life. The book is divided into two main parts. Part I deals with the behaviour of individuals facing uncertainty and includes accessible explanations and examples of every-day applications, while Part II deals with behaviour in organisations facing uncertainty, where insights from Part I are combined and related to the organisational and work context to explore how, for example, (mis)-perceptions and decision-making biases impact managerial life. This is a must read for both managers and those who are seeking to better understand their own behaviour and management approach.

First published in 1993. This book is intended for managers and occupational psychologists involved in the selection and assessment of the workforce. It details the history and development of the use of biographical data for both recruitment and promotion of employees. Grounded in relevant research literature, it offers a comprehensive analysis of the advantages and disadvantages of biodata in different contexts. It also includes examples of applications and recommendations for use, as well as examples of questionnaires. Written by experts, it represents a wide-ranging review of the contemporary research in the field. This work will be of interest to students of business and psychology.

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization. The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use. "The author deals with the delicate subjects in a precise yet light-minded spirit... For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization...perfectly suited for classroom teaching." Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota