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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
Public experience with risk communication differs greatly from country to country in Europe and there has been little opportunity for the transfer of experience and learning between countries. This is especially true for the many new European States, including the countries in transition from centralised to market economies. This book presents case studies on risk communication. One of its unifying concepts is the role of risk communication in the risk management process. Technical and philosophical introductions to risk communication and risk management and research in risk communication are given. The case studies themselves occupy the central portion of the book, each one covering a particular hazard, risk or situation seen from a particular point of view. The issue of the special circumstances for environmental and health risk communication in central and eastern Europe is also addressed through a separate presentation and discussion of an appropriate case study. A different approach to risk communication is taken by examining how it forms part of the risk management process at the local level. Research into risk perception, a field that forms an important foundation for many aspects of risk communication, is summarised and practical guidelines for risk communication are reviewed. These include discussions on how to carry out public information programmes and methods for increasing public involvement in risk management decisions.
Scholarly literature on talent management usually takes a mainstream approach to understanding how and why organizations pursue talent initiatives and to rationalizing their presumed benefits. Indeed, the basic logic of identifying and supporting an organization's most talented employees is, on the surface, quite seductive. Recent conceptual and empirical research, however, shows that talent management brings with it a range of issues that should trouble both academics and practitioners. In response to these concerns, Managing Talent: A Critical Appreciation takes a more critical view of the organizational talent project, to understanding the motives for talent management and to the identification, development and placement of high potential employees. This edited text brings together and explores a range of concerns arising from theory and practice and offers both practical recommendations and implications for further research. The issues and questions examined include: the rhetoric, politics and reality of talent management leadership derailment the social construction of talent gender bias in talent recognition the relevance of research in talent management inclusive talent management the role of line managers and leadership in implementing talent management While stressing academic rigour, each chapter is accessible to both scholars and practitioners who are looking for alternative ways of thinking about talent and alternative perspectives on the often problematic issues arising from managing talent in practice.
This book is designed to assist industrial engineers and production managers in developing procedural and methodological engineering tools to meet industrial standards and mitigate engineering and production challenges. It offers practitioners expert guidance on how to implement adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take place due to variables other than a random variation. Powerful engineering models of new product introduction (NPI), continuous improvement (CI), and the eight disciplines (8D) model of problem solving techniques are explained. The final three chapters introduce new methodological models in operations research (OR) and their applications in engineering, including the hyper-hybrid coordination for process effectiveness and production efficiency, and the Kraljic-Tesfay portfolio matrix of industrial buying.
Residential Exposure Assessment: A Source Book is the result of a multiyear effort known as the Residential Exposure Assessment Project (REAP) which was initiated by the Society for Risk Analysis and the International Society of Exposure Analysis. This textbook is the primary product of the REAP and it contains contributions from over 30 professionals from a variety of disciplines such as chemistry, biology, physics, engi neering, industrial hygiene, toxicology, pharmacology, and environmental law, reflecting the diverse knowledge and resources necessary to assess and manage potential exposures occurring in and around the home. Expert working groups were organized for each of the 13 chapters to address such issues as U. S. legislation relevant to products used in and around the residence, methods for measuring and modeling exposures across multiple pathways and routes, and distributional data available for key residential exposure factors. This volume is a compendium of information about predictive methods and tools, monitoring methods, data sources, and key variables that characterize exposures in the residential setting. It presents approaches for doing exposure assessments in and around all types of residences. The purpose of the Source Book is to provide a resource for use in educational programs and for "practitioners" of residential exposure assessment. Accordingly, this book is intended for risk assessors, exposure assessors, students, initi ates new to the concept of risk assessment, industrial hygienists assessing health hazards in the home, engineers, and monitoring specialists."
We need a new approach for solving tough problems in a complex world-we need to collaborate smarter. Market volatility. Sustainability demands. Hybrid working. Opportunities and hazards of fast-changing technology and regulations. Companies and nonprofits face more daunting challenges than ever. How can we collaborate in our organizations-and with outside partners-to solve problems, innovate, and succeed? Smarter Collaboration offers groundbreaking solutions. This indispensable new book lays out a pragmatic action plan blending rich stories, new empirical research, and loads of practical advice to help companies thrive by collaborating more effectively. As Harvard professor Heidi K. Gardner and senior executive Ivan A. Matviak show, firms that collaborate smarter consistently generate higher revenues and profits, boost innovation, strengthen client relationships, and attract and retain better talent. In this successor to Gardner's bestselling first book, Smart Collaboration, the authors expand their mandate, illustrating the fundamental dynamics of collaborating well across industries like financial services, health care, biotech/pharma, consumer products, automotive, and technology. Based on their research with thousands of executives from around the world, they share deep insights on how to implement smarter collaboration and avoid the potential pitfalls. They also help leaders troubleshoot thorny challenges like misaligned incentives, collaboration overload, and unintended consequences on diversity and inclusion. Complete with how-tos and cases, the book concludes with inspiring examples of groups harnessing smarter collaboration to tackle society's biggest challenges such as saving the oceans, eradicating diseases, and tackling global warming. Smarter Collaboration is the essential guide for forward-thinking leaders to transform their organizations, reshape the way they work, and increase impact and success.
Are you ready to lead? Will you pass the test?
The standard rationality hypothesis is that behaviour can be represented as the maximization of a suitably restricted utility function. This hypothesis lies at the heart of a large body of recent work in economics, of course, but also in political science, ethics, and other major branches of the social sciences. Though this hypothesis of utility maximization deserves our continued respect, finding further refinements and developing new critiques remain areas of active research. In fact, many fundamental conceptual problems remain unsettled. Where others have been resolved, their resolutions may be too recent to have achieved widespread understanding among social scientists. Last but not least, a growing number of papers attempt to challenge the rationality hypothesis head on, at least in its more orthodox formulation. The main purpose of this Handbook is to make more widely available some recent developments in the area. Yet we are well aware that the final chapter of a handbook like this can never be written as long as the area of research remains active, as is certainly the case with utility theory. The editors originally selected a list of topics that seemed ripe enough at the time that the book was planned. Then they invited contributions from researchers whose work had come to their attention. So the list of topics and contributors is largely the editors' responsibility, although some potential con tributors did decline our invitation. Each chapter has also been refereed, and often significantly revised in the light of the referees' remarks."
Demography as a discipline is now at the point where its relevance to business decision making is indisputable--and top business management knows this. People who lack an understanding of state-of-the-art demographic techniques, and who cannot adapt to new ways of thinking prompted by demography and demographers, will find themselves significantly disadvantaged in today's competitive business environment. Pol and Thomas thus provide practitioners and students alike with a concise but intensive introduction to the concepts and methods of business demography. They chronicle current demographic trends and explain their meaning for business. With numerous examples drawn from business and industry, they make clear that business demography is truly a decision-making science. Pol and Thomas introduce basic concepts, then present an overview of recent and future demographic trends. They elaborate on the application of current demographic methods to planning and marketing in the contemporary business environment, and illustrate their points with numerous charts, maps, and sidebars. Pol and Thomas provide many examples of real world situations in which demographic methods, data, perspective, and theory are actively applied. With sections on sources of health care data, the calculation of demographic rates, the demographic resources available and up-to-date statistics on current demographic trends, their book becomes not only a unique resource for professionals, but also a useful text and reference for their colleagues in the academic community.
This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.
From the author of The Tipping Point, Malcolm Gladwell's international bestseller Blink: The Power of Thinking Without Thinking is a revolution in the understanding of the mind. An art expert sees a ten-million-dollar sculpture and instantly spots it's a fake. A marriage analyst knows within minutes whether a couple will stay together. A fire-fighter suddenly senses he has to get out of a blazing building. A speed dater clicks with the right person... This book is all about those moments when we 'know' something without knowing why. Here Malcolm Gladwell explores the phenomenon of 'blink', showing how a snap judgement can be far more effective than a cautious decision. By trusting your instincts, he reveals, you'll never think about thinking in the same way again.
Life after Boris is a quick-to-read fable that should encourage any partner - or indeed anyone aspiring to partnership - in a professional services firm, to make sure that the succession planning issue is addressed in their firm. It seeks to demonstrate that with good planning, collaboration and proactive discussion, options can be found that will be acceptable to all. Without such an approach, the consequences could be serious. Succession planning is not inherently difficult or intellectually complex. It does, however, strike many raw nerves, both with those who are currently at the top of their firms and are contemplating retirement (or not), and also with those in the early stages of their careers who are anxious to know what the future holds for them in their current firm. The frustration, of course, is that many stakeholders in the succession planning process (of which there are far more than one might originally envisage) rush into decisions because of the apparent lack of a succession plan, thereby simply exacerbating the problem for all the other stakeholders. It is therefore critical that all firms, and the stakeholders within those firms, address the succession planning question before it becomes an issue. Closing the stable door after the horse has bolted is simply not an option. Initiating the succession planning process need not necessarily come from the current leaders. Indeed, their failure to do so is often at the root of the problem. The bright leaders of tomorrow have much at stake and although a great deal of tact and sensitivity will be needed, it is often these future leaders of a firm who are best positioned to bring about change. In the author's experience over the last 12 years of working with professional services firms around the world, one of the most frequently recurring catalysts for discussion has been succession management. Firms that got it right developed and prospered. Those that didn't struggled and often ended up having to merge and ultimately disappear into oblivion.
We hear a lot about the necessity of meeting needs of changing markets by developing people, but we hear less about ways implement change. How can we design effective ways to implement change and maintain and build job satisfaction? James and Lori Spina illustrate how a strategic system aligns workplace transitions with the organizational vision, mission, and top level strategies to meet the needs of all stakeholders, ensure a steady flow of talent from within, and anticipate abilities and skills for jobs not yet created. They provide a road map for how to carry this out and propose a cutting-edge leadership style to complement this strategic approach and beat the competition. They demonstrate in detail on how to meet the emerging learning needs of high potential people who are striving to obtain new levels of responsibility. This book is crucial reading for executives who make strategic business decisions to ensure the sustainability and growth of their organizations.
Thought leader John Adair provides the techniques and insights you need to find solutions, spark creativity and confidently make the right decisions. This 5th edition now features even more practical exercises, useful templates, and top tips to provide a clear framework that can generate ideas and inspire confidence in your team - so you can spot the solution in every problem, and create ideas to rival even the best strategists. The Creating Success series of books... Unlock vital skills, power up your performance and get ahead with the bestselling Creating Success series. Written by experts for new and aspiring managers and leaders, this million-selling collection of accessible and empowering guides will get you up to speed in no time. Packed with clever thinking, smart advice and the kind of winning techniques that really get results, you'll make fast progress, quickly reach your goals and create lasting success in your career.
Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.
The COVID-19 pandemic provides an illustration of how chaotic changes to large systems are caused by small, seemingly insignificant environmental events such as the initial case(s) of COVID-19 in China. From this small starting point for the pandemic, there have been (and continue to be) millions of lives lost and trillions of dollars spent trying to alleviate the effects of the COVID-19 pandemic. World government and corporate leaders are striving to deal with this pandemic, but uncertainty is felt across the globe. Unprecedented strategies (e.g., the United States government's multi-trillion-dollar stimulus package (s)) have been used to halt the spread of COVID-19. These small events cascade throughout larger and larger systems leading to unforeseeable consequences. Organizations must experiment and make decisions on how to react. Decisions must be made and implemented to see what the effects of these decisions are. The chapters in this volume provide important insights for all organizations during this time of crisis. The chapters express bottomup and top-down approaches to a crisis-initiating environmental change by organizations. The chapters provide insight into the way organizations perceive the effect of COVID-19 as 1) a permanent or transitory change in the organization's environment; and 2) as a crisis or opportunity. Taken together, the chapters provide both scientists and practitioners with a starting point for understanding the impact of COVID-19 on organizational theory and on management practice for readers.
Semiorder is probably one of the most frequently ordered structures in science. It naturally appears in fields like psychometrics, economics, decision sciences, linguistics and archaeology. It explicitly takes into account the inevitable imprecisions of scientific instruments by allowing the replacement of precise numbers by intervals. The purpose of this book is to dissect this structure and to study its fundamental properties. The main subjects treated are the numerical representations of semiorders, the generalizations of the concept to valued relations, the aggregation of semiorders and their basic role in a general theoretical framework for multicriteria decision-aid methods. Audience: This volume is intended for students and researchers in the fields of decision analysis, management science, operations research, discrete mathematics, classification, social choice theory, and order theory, as well as for practitioners in the design of decision tools.
Kindness in Management and Organizational Studies is the first book in a ground-breaking series exploring Kindness at Work. This edited collection offers multiple perspectives in the understanding, interpretation, enactment, and resistance to the concept of kindness in a business context. Through the diverse offerings of each author we gain and reflect on new knowledge, formulate new questions, and find direction for our next steps. The collection of texts range in topics that include Indigenous storytelling about sanctified kindness to an examination of key management theories using ANTi-History to intergenerational stories on kindness and bouncing back. Compassion and kindness, care ethics, and the framing of kindness are also a part of the text. Unbiased compassion and work on the continuing and chronic occupational hazards of sexual harassment and discrimination is presented as well as benevolent sexism and performative kindness. Kindness and communication, Kindness and leadership and a case study of Kindness in the public service are also offerings in this first book on Kindness at Work. Kindness in Management and Organizational Studies is ideal for undergraduate and graduate students in business, leadership, and human resources. It offers illuminating new perspectives and insights to scholars that enables the analyses of leadership and management styles, organizational psychology, and HR practice and theory.
In recent years there has been substantial interest in benefits assessment methods, especially as these methods are used to assess health, safety, and environmental issues. At least part of this interest can be traced to Executive Order 12291, issued by President Ronald Reagan in 1981. This Executive Order requires Federal agencies to perform benefits assessments of pro posed major regulations and prohibits them from taking regulatory action unless potential benefits exceed potential costs to society. Heightened interest in benefits assessment methods has in tum given rise to greater recognition of the inherent difficulties in performing such assess ments. For example, many benefits that are intuitively felt to be most important are also among the most difficult to measure. It can be difficult to identify the full range of both benefits and costs. The choice of an appro priate discount rate for comparing benefits and costs over time is proble matic. Even when benefits are quantifiable in principle and agreement can be reached on their valuation, required d, ata may not be available. Thus considerable uncertainty is built into most benefit estimates, even when they are based on the best available data. In light of the complexities and difficulties associated with the perform ance of a benefits assessment, this book reviews the current state of theoretical and methodological knowledge in the field. The review is extensive in that it covers over fifty years of research, theoretical develop ment, and practice."
The numerous advances in mathematical programming have opened up new insights about sensitivity analysis. The paradigm What if...?' question is no longer the only question of interest. Often, we want to know Why...?' and Why not...?' Such questions were not analyzed in the early years of mathematical programming to the same extent that they are now, and we have not only expanded our thinking about post-optimal analysis', but also about solution analysis', even if the solution obtained is not optimal. Therefore, it is now time to examine all the recent advances on sensitivity analysis and parametric programming. This book combines the origins of sensitivity analysis with the state of the art. It covers much of the traditional approaches with a modern perspective, and shows recent results using the optimal partition approach, stemming from interior methods, for both linear and quadratic programming. It examines the special case of network models. It presents a neglected topic, qualitative sensitivity analysis, as well as elements of mixed integer programming and gives a modern perspective of nonlinear programming. It provides recent advances in multi-criteria mathematical programming and also describes the state-of-the-art in stochastic programming. It covers recent advances in understanding redundancy in quadratic programs, considers an approach to diagnosing infeasibility in linear and nonlinear programs, and gives an overview of sensitivity analysis for fuzzy mathematical programming.
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