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Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
Rebekka Sputtek sheds light upon the question of how the personality and emotional traits of executives influence their decision making and leadership behavior. While recent strategic management research has started to recognize the relevance of an executive's personality traits as antecedents of organizational outcomes, this stream has called for a more fine-grained clarification of the psychological processes underlying executive decision making. In order to contribute to the understanding of these processes, a holistic model integrating the role of an expedient set of personality variables and anger in executive's decision making comprehensiveness as well as authenticity of transformational leadership is developed.
Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support, published in 2009, explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.
Rooted in the study of chaos and complexity, "Adaptive Action"
introduces a simple, common sense process that will guide you and
your organization into reflective action.
Clearly, concisely, and with many examples from public and private enterprise, Upgrading Leadership's Crystal Ball shows why predictions are usually wrong and presents a better way to look at the future-forecasting. This book is essential-reading for anyone who needs to make the best possible strategic decisions for moving an organization forward in today's rapidly changing environment. Dr. Bauer supplies an insightful comparison of the two mainstream approaches for looking ahead. Although predicting and forecasting are usually used as synonyms for a single process, they are conceptually and methodologically quite different. He explains why everyday failure to operationalize these differences robs us of power to envision and pursue good futures, especially when we are headed in the wrong direction. Readers will learn the real-world value of distinguishing between predicting (extrapolating historical trends) and forecasting (estimating the probabilities of possibilities). Following a description of predictive modeling and a discussion of five reasons why it fails so often in current applications, Dr. Bauer explains the superiority of forecasting and how to do it. To complete readers' understanding of the many compelling reasons for making the shift from predicting to forecasting, Upgrading Leadership's Crystal Ball presents a practical approach to strategic planning in unpredictable times. It concludes with an analysis of the future of big data and its likely impact on the future. Dr. Bauer is uniquely qualified to write this important book; he is trained in both predicting (economics) and forecasting (meteorology). Author of more than 250 publications, he is internationally recognized not only for long-term success in foretelling the future of medical science and health care, but also for successful innovations to create a better delivery system. This book distills the lessons garnered over his 40 year career as economist and futurist into a guide that other leaders can use to avoid problems and create better options in any realm. The book includes a foreword by Dr. Stan Gryskiewicz, author of Positive Turbulence.
1 Introduction.- 2 Review of Ordinary Least Squares and Generalized Least Squares.- 3 Point Estimation and Tests of Hypotheses in Small Samples.- 4 Large Sample Point Estimation and Tests of Hypotheses.- 5 Stochastic Regressors.- 6 Use of Prior Information.- 7 Preliminary Test and Stein-Rule Estimators.- 8 Feasible Generalized Least Squares Estimation.- 9 Heteroscedasticity.- 10 Autocorrelation.- 11 Lagged Dependent Variables and Autcorrelation.- 12 Unobservable Variables.- 13 Multicollinearity.- 14 Varying Coefficient Models.- 15 Models That Combine Time-Series and Cross-Section Data.- 16 The Analysis of Models with Qualitative or Censored Dependent Variables.- 17 Distributed Lags.- 18 Uncertainty in Model Specification and Selection.- 19 Introduction to Simultaneous Equations Models.- 20 Identification.- 21 Limited Information Estimation.- 22 Full Information Estimation.- 23 Reduced Form Estimation and Prediction in Simultaneous Equations Models.- 24 Properties of Dynamic Simultaneous Equations Models.- 25 Special Topics in Simultaneous Equations.- Appendix Estimation and Inference in Nonlinear Statistical Models.- A.1 Nonlinear Optimization.- A.1.1 Method of Steepest Ascent.- A.1.2 The Method of Newton.- A.1.3 Method of Quadratic Hill Climbing.- A.1.4 Numerical Differentiation.- A.2 Maximum Likelihood Estimation.- A.2.1 Use of the Method of Newton.- A.2.2 Method of Scoring.- A.2.3 The Method of Berndt, Hall, Hall, and Hausman.- A.2.4 Asymptotic Tests Based on the Maximum Likelihood Method.- A.2.4a The Wald Test.- A.2.4b The Lagrange-Multiplier Test.- A.2.4c The Likelihood Ratio Test Statistic.- A.2.4d Concluding Remarks.- A.3 Nonlinear Regression.- A.4 Summary and Guide to Further Readings.- A.5 References.
Risk control and derivative pricing have become of major concern to financial institutions, and there is a real need for adequate statistical tools to measure and anticipate the amplitude of the potential moves of the financial markets. Summarising theoretical developments in the field, this 2003 second edition has been substantially expanded. Additional chapters now cover stochastic processes, Monte-Carlo methods, Black-Scholes theory, the theory of the yield curve, and Minority Game. There are discussions on aspects of data analysis, financial products, non-linear correlations, and herding, feedback and agent based models. This book has become a classic reference for graduate students and researchers working in econophysics and mathematical finance, and for quantitative analysts working on risk management, derivative pricing and quantitative trading strategies.
This book provides a detailed examination of the complex negotiation processes surrounding intergovernmental conferences in the European Union. Since the Treaty of Amsterdam (1997) and its 'appendix', the Treaty of Nice in 2002, any reform of the constitutional framework of the European Union experiences formidable difficulties. By presenting an extensive study of the Intergovernmental Conference of 1996/7 prior to the Treaty of Amsterdam, the authors argue that these negotiations reveal major challenges of European integration. They contend that multi-level negotiations require an appropriate coordination of informal administrative networks and the empowerment of administrative leadership, with these factors significantly shaping the dynamics and outcomes of negotiations. Through these findings, this book lays down the foundation for future evidence-based support and evaluation of multilateral negotiations, and delivers new insights on decision-making within the European Union. It draws on advanced statistical methods and network analysis. European Union Intergovernmental Conferences will be of interest to students and researchers of political science, sociology, administrative science, business and management studies, international law and European law.
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.
"Collaborative Evaluations: Step-by-Step, Second Edition" is a
comprehensive guide for evaluators who aim to master collaborative
practice. Liliana Rodr guez-Campos and Rigoberto Rincones-Gmez
present their Model for Collaborative Evaluations (MCE) with its
six major components: identify the situation, clarify the
expectations, establish a collective commitment, ensure open
communication, encourage effective practices, and follow specific
guidelines.
Collaborative Evaluations: Step-by-Step, Second Edition is a comprehensive guide for evaluators who aim to master collaborative practice. Liliana Rodriguez-Campos and Rigoberto Rincones-Gomez present their Model for Collaborative Evaluations (MCE) with its six major components: identify the situation, clarify the expectations, establish a collective commitment, ensure open communication, encourage effective practices, and follow specific guidelines. Fully updated to reflect the state-of-the-art in the field, each core chapter addresses one component of the model, providing step-by-step guidance, as well as helpful tips for successful application. To further demonstrate the utility of the MCE, this new edition includes recurring vignettes about several evaluators and clients, illustrating frequent questions and specific challenges that arise when evaluators take a collaborative approach. Drawing on a wide range of collaborative evaluations conducted in the business, nonprofit, and education sectors, this precise and easy-to-understand guide is ideal for students and practitioners who want to use its tools immediately.
"Empowerment Evaluation in the Digital Villages" analyzes a $15 million community change initiative designed to bridge the digital divide in East Palo Alto, East Baltimore, and San Diego. Involving a partnership between Hewlett-Packard, Stanford University, and three ethnically diverse communities, this initiative enabled its constituencies to build their own technology-oriented businesses, improve their education systems, and improve their economic health. While examining this large-scale, multi-site case, Fetterman highlights the potential for empowerment evaluation to build local capacity and sustain improvements within communities. He provides deep insights into key steps in empowerment evaluation by exploring the way that each of these phases took place in the digital villages. Additionally, the text provides evaluators with real-world stories and practical advice from the front lines. The Digital Village case also demonstrates the social value of combining corporate philanthropy, academic prowess, and community empowermentOCohighlighting the role of evaluation in this process."
"Empowerment Evaluation in the Digital Villages" analyzes a $15 million community change initiative designed to bridge the digital divide in East Palo Alto, East Baltimore, and San Diego. Involving a partnership between Hewlett-Packard, Stanford University, and three ethnically diverse communities, this initiative enabled its constituencies to build their own technology-oriented businesses, improve their education systems, and improve their economic health. While examining this large-scale, multi-site case, Fetterman highlights the potential for empowerment evaluation to build local capacity and sustain improvements within communities. He provides deep insights into key steps in empowerment evaluation by exploring the way that each of these phases took place in the digital villages. Additionally, the text provides evaluators with real-world stories and practical advice from the front lines. The Digital Village case also demonstrates the social value of combining corporate philanthropy, academic prowess, and community empowerment--highlighting the role of evaluation in this process.
The scope and applicability of risk management have expanded greatly over the past decade. Banks, corporations, and public agencies employ its new technologies both in their daily operations and long-term investments. It would be unimaginable today for a global bank to operate without such systems in place. Similarly, many areas of public management, from NASA to the Centers for Disease Control, have recast their programs using risk management strategies. It is particularly striking, therefore, that such thinking has failed to penetrate the field of national security policy. Venturing into uncharted waters, Managing Strategic Surprise brings together risk management experts and practitioners from different fields with internationally-recognized national security scholars to produce the first systematic inquiry into risk and its applications in national security. The contributors examine whether advance risk assessment and management techniques can be successfully applied to address contemporary national security challenges.
Building on lecture notes from his acclaimed course at Stanford University, James March provides a brilliant introduction to decision making, a central human activity fundamental to individual, group, organizational, and societal life. March draws on research from all the disciplines of social and behavioral science to show decision making in its broadest context. By emphasizing how decisions are actually made -- as opposed to how they should be made -- he enables those involved in the process to understand it both as observers and as participants. March sheds new light on the decision-making process by delineating four deep issues that persistently divide students of decision making: Are decisions based on rational choices involving preferences and expected consequences, or on rules that are appropriate to the identity of the decision maker and the situation? Is decision making a consistent, clear process or one characterized by ambiguity and inconsistency? Is decision making significant primarily for its outcomes, or for the individual and social meanings it creates and sustains? And finally, are the outcomes of decision processes attributable solely to the actions of individuals, or to the combined influence of interacting individuals, organizations, and societies? March's observations on how intelligence is -- or is not -- achieved through decision making, and possibilities for enhancing decision intelligence, are also provided. March explains key concepts of vital importance to students of decision making and decision makers, such as limited rationality, history-dependent rules, and ambiguity, and weaves these ideas into a full depiction of decision making. He includes a discussion of the modern aspects of several classic issues underlying these concepts, such as the relation between reason and ignorance, intentionality and fate, and meaning and interpretation. This valuable textbook by one of the seminal figures in the history of organizational decision making will be required reading for a new generation of scholars, managers, and other decision makers.
Today's working world has become excessively demanding due to the globalisation of businesses, increasing competition, accelerated technological progress, more sophisticated and informed customers as well as a continuous need to increase innovative abilities to remain competitive. Employees with their skills, knowledge and engagement form the competitive advantage and therefore significantly contribute to the overall organisational success. Therefore, a company's ability to efficiently attract the right Generation Y talents - a culturally diverse workforce born after 1980 - through efficient target group-oriented employer branding strategies is gaining in importance. This book examines the influence of the two main phenomena - cultural and generational - on shaping the employment expectations of 459 university graduates in Economics and Business Administration of two different nationalities. Using the methods of moderated multiple regressions and simple slopes analysis, the author develops an explicit conceptual framework for examining different influences that shape employment expectations of a diverse Gen Y workforce in an international context. These expectations should be viewed as a starting point for every employer branding campaign.
Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authors' decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation. Following in the footsteps of its bestselling predecessors, this edition incorporates a lively approach to learning the fundamentals of the design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes. The book explains simple methods for collecting and displaying data and presents comparative experiments for testing hypotheses. Discussing how to block the sources of variation from your analysis, it looks at two-level factorial designs and covers analysis of variance. It also details a four-step planning process for designing and executing experiments that takes statistical power into consideration. This edition includes a major revision of the software that accompanies the book (via download) and sets the stage for introducing experiment designs where the randomization of one or more hard-to-change factors can be restricted. Along these lines, it includes a new chapter on split plots and adds coverage of a number of recent developments in the design and analysis of experiments. Readers have access to case studies, problems, practice experiments, a glossary of terms, and a glossary of statistical symbols, as well as a series of dynamic online lectures that cover the first several chapters of the book.
From the multimillion-copy bestselling author of "The 7 Habits of
Highly Effective People"--hailed as the #1 Most Influential
Business Book of the Twentieth Century--"The 3rd Alternative "turns
Dr. Stephen R. Covey's formidable insight to a powerful new way to
resolve professional and personal difficulties and create solutions
to great challenges in organizations and society.
"Breakthrough Problem Solving with Action Learning" explores why and how action learning groups have been so successful and creative in solving complex problems. The text begins by briefly reviewing the theories that undergird the effectiveness of action learning, philosophically situating readers and pointing them in the direction of related academic works that they may wish to explore. It then turns to stories of how organizations have employed action learning in solving specific, often-encountered business problems. These cases not only serve as real-world models for how action learning can be successfully employed, but also offer inspiration and potential starting points and guidelines for other businesses that face similar problems. The book concludes with a cross-case analysis that pinpoints the ingredients necessary for breakthrough problem solving via action learning.
Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.
The Oxford Handbook of Organizational Decision Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at the individual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed. Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM.
This book offers key insights into how to manage software development across international boundaries. It is based on a series of case studies looking at the relationships between firms from North America, the UK, Japan and Korea with Indian software houses. In these case studies, which have typically been compiled over a 3-4 year timespan, the authors analyse the multi-faceted challenges encountered in managing these Global Software Alliances (GSAs). These challenges range from the conflicts that managers face when dealing with distance, to the tensions of transferring knowledge across time and space, to issues in trying to establish universal standards in a context of constant change, and the problems of identity that developers and clients experience in having to deal with different organizations and countries. Throughout the book, the authors draw on their extensive research and experience to offer constructive advice on how to manage GSAs more effectively.
In this groundbreaking book, Tim Harford, the Undercover Economist, shows us a new and inspiring approach to solving the most pressing problems in our lives. When faced with complex situations, we have all become accustomed to looking to our leaders to set out a plan of action and blaze a path to success. Harford argues that today's challenges simply cannot be tackled with ready-made solutions and expert opinion; the world has become far too unpredictable and profoundly complex. Instead, we must "adapt." Deftly weaving together psychology, evolutionary biology, anthropology, physics, and economics, along with the compelling story of hard-won lessons learned in the field, Harford makes a passionate case for the importance of adaptive trial and error in tackling issues such as climate change, poverty, and financial crises--as well as in fostering innovation and creativity in our business and personal lives. Taking us from corporate boardrooms to the deserts of Iraq, "Adapt "clearly explains the necessary ingredients for turning failure into success. It is a breakthrough handbook for surviving--and prospering-- in our complex and ever-shifting world.
Collaborative decision making processes are a form of communication inside organizations. Their functioning can teach lessons for the design of electronic office systems. Those processes are open ended and therefore decide themselves on their form. Like oral deliberations which cannot be modelled in advance any open ended communication process needs means for common control over the further advancement and the ending of the process. The history of German administrative practice and its special methods of using disposals for the control of common processes shows the creation of records as based on communication needs generated by the intention of joint actions. For electronic decision making processes the purposes remain the same, but the means have to follow the effects of electronic communication on messages. The book is a reworked English version of a thesis for the official qualification for university professorship accepted by the German University of Administrative Sciences Speyer. Germany.
This book equips students with a practical set of skills, showing how they can use philosophy's methods to analyze and discuss the philosophical and ethical issues that now form an integral part of courses in business, engineering, teaching, and health, as well as those in the humanities and social sciences. Selected case studies bring both ethical and philosophical issues to life. |
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