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| business decision making models: The Decision Model Barbara von Halle, Larry Goldberg, 2009-10-27 In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A |
| business decision making models: Real-World Decision Modeling with DMN James Taylor, Jan Purchase, 2023-07-24 Organizations make thousands of automated, operational decisions every week. How well they make these decisions drives profitability, reputation and customer satisfaction. Decision modeling helps them understand, automate and improve them |
| business decision making models: Managerial Decision Modeling Nagraj (Raju) Balakrishnan, Barry Render, Ralph Stair, Charles Munson, 2017-08-07 This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941 |
| business decision making models: The Decision Book Mikael Krogerus, Roman Tschäppeler, 2023-02-02 Most of us face the same questions every day: What do I want? How can I get it? How can I live more happily and work more efficiently? This updated edition of the international bestseller distils into a single volume the fifty best decision-making models used on MBA courses, and elsewhere, that will help you tackle these important questions - from the well known (the Eisenhower matrix for time management) to the less familiar but equally useful (the Swiss Cheese model). It will even show you how to remember everything you'll have learned by the end of it. Stylish and compact, this little book is a powerful asset. Whether you need to plot a presentation, assess someone's business idea or get to know yourself better, this unique guide will help you simplify any problem and take steps towards the right decision. |
| business decision making models: Decision Models in Engineering and Management Patricia Guarnieri, 2015-01-05 Providing a comprehensive overview of various methods and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis. Decision making in organizations is a recurrent theme and is essential for business continuity. Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making. This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis. It is also intended for production engineers, civil engineers and engineering consultants. |
| business decision making models: Management Decision Making George E. Monahan, 2000-08-17 CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks. |
| business decision making models: Multi-Level Decision Making Guangquan Zhang, Jie Lu, Ya Gao, 2015-02-07 This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science. |
| business decision making models: Sources of Power Gary A. Klein, 1999 An overview of naturalistic decision making, which views people as inherently skilled and experienced. |
| business decision making models: Global Encyclopedia of Public Administration, Public Policy, and Governance Ali Farazmand, 2023-04-05 This global encyclopedic work serves as a comprehensive collection of global scholarship regarding the vast fields of public administration, public policy, governance, and management. Written and edited by leading international scholars and practitioners, this exhaustive resource covers all areas of the above fields and their numerous subfields of study. In keeping with the multidisciplinary spirit of these fields and subfields, the entries make use of various theoretical, empirical, analytical, practical, and methodological bases of knowledge. Expanded and updated, the second edition includes over a thousand of new entries representing the most current research in public administration, public policy, governance, nonprofit and nongovernmental organizations, and management covering such important sub-areas as: 1. organization theory, behavior, change and development; 2. administrative theory and practice; 3. Bureaucracy; 4. public budgeting and financial management; 5. public economy and public management 6. public personnel administration and labor-management relations; 7. crisis and emergency management; 8. institutional theory and public administration; 9. law and regulations; 10. ethics and accountability; 11. public governance and private governance; 12. Nonprofit management and nongovernmental organizations; 13. Social, health, and environmental policy areas; 14. pandemic and crisis management; 15. administrative and governance reforms; 16. comparative public administration and governance; 17. globalization and international issues; 18. performance management; 19. geographical areas of the world with country-focused entries like Japan, China, Latin America, Europe, Asia, Africa, the Middle East, Russia and Eastern Europe, North America; and 20. a lot more. Relevant to professionals, experts, scholars, general readers, researchers, policy makers and manger, and students worldwide, this work will serve as the most viable global reference source for those looking for an introduction and advance knowledge to the field. |
| business decision making models: The Decision Book Mikael Krogerus, Roman Tschappeler, 2018-05-08 An updated edition of the international bestseller that distills into a single volume the fifty best decision-making models. Every day, we face the same questions: How do I make the right decision? How can I work more efficiently? And, on a more personal level, what do I want? This updated edition of the international bestseller distills into a single volume the fifty best decision-making models used in MBA courses, and elsewhere, that will help you tackle these important questions. In minutes you can become conversant with: The Long Tail • The Maslow Pyramids • SWOT Analysis • The Rubber Band Model • The Prisoner's Dilemma • Cognitive Dissonance • The Eisenhower Matrix • Conflict Resolution • Flow • The Personal Potential Trap • and many more. Stylish and compact, this little book is a powerful asset. Whether you need to plan a presentation, assess someone's business idea, or get to know yourself better, this unique guide—bursting with useful visual tools—will help you simplify any problem and make the best decision. |
| business decision making models: Specifics of Decision Making in Modern Business Systems Elena G. Popkova, Alina V. Chesnokova, Irina A. Morozova, 2019-08-01 Specifics of Decision Making in Modern Business Systems focuses on the regularities and tendencies that are peculiar for the modern Russian practice of decision making in business systems, as well as the authors’ solutions for its optimization in view of new challenges and possibilities. |
| business decision making models: Decision Making, Models and Algorithms Saul I. Gass, 1991 This text presents an approach on how undergraduate students in mathematics, business, computer science, and engineering should be introduced to the science of decision making. Deterministic mathematics at an elementary level is required, including linear equations and graphs. |
| business decision making models: DMN Method and Style Bruce Silver, 2024-01-03 Comprehensive guide to DMN, the standard for Low-Code model-based decision automation. Completely revised from 2nd edition, updated to draft DMN 1.6 version, includes DMN Cookbook. Many practical examples, with 271 diagrams and tables. |
| business decision making models: Evaluation and Decision Models with Multiple Criteria Denis Bouyssou, Thierry Marchant, Marc Pirlot, Alexis Tsoukias, Philippe Vincke, 2006-06-07 Formal decision and evaluation models are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. This book is a guide aimed at helping the analyst to choose a model and use it consistently. A sound analysis of techniques is proposed and the presentation can be extended to most decision and evaluation models as a decision aiding methodology. |
| business decision making models: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| business decision making models: Modeling Human and Organizational Behavior Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations, Board on Human-Systems Integration, Division of Behavioral and Social Sciences and Education, National Research Council, 1998-08-14 Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior. |
| business decision making models: Data Science for Business and Decision Making Luiz Paulo Favero, Patricia Belfiore, 2019-04-11 Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs |
| business decision making models: Building Models for Marketing Decisions Peter S.H. Leeflang, Dick R. Wittink, Michel Wedel, Philippe A. Naert, 2013-06-29 This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables. |
| business decision making models: Decision Making in Action Gary A. Klein, Judith Orasanu, Roberta Calderwood, 1992-08-01 This book describes the new perspective of naturalistic decision making. The point of departure is how people make decisions in complex, time-pressured, ambiguous, and changing environments. The purpose of this book is to present and elaborate on past models developed to explain this type of decision making. The central philosophy of the book is that classical decision theory has been unproductive since it is so heavily grounded in economics and mathematics. The contributors believe there is little to be learned from laboratory studies about how people actually handle difficult and interesting tasks; therefore, the book presents a critique of classical decision theory. The models of naturalistic decision making described by the contributors were derived to explain the behavior of firefighters, business people, jurors, nuclear power plant operators, and command-and-control officers. The models are unique in that they address the way people use experience to frame situations and adopt courses of action. The models explain the strengths of skilled decision makers. Naturalistic decision research requires the examination of field settings, and a section of the book covers methods for conducting meaningful research outside the laboratory. In addition, since his approach has applied value, the book covers issues of training and decision support systems. |
| business decision making models: Handbook of Marketing Decision Models Berend Wierenga, 2008-09-05 Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets. |
| business decision making models: Business Analytics for Decision Making Steven Orla Kimbrough, Hoong Chuin Lau, 2018-09-03 Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience. |
| business decision making models: Decision Making and Business Performance Eric J. Bolland, Carlos J. Lopes, 2018 This breakthrough study examines how business decisions explain successful and unsuccessful performance. Real world and academic research is evaluated, including interviews and cases studies, to create a model of how decisions and performance are connected for businesses of all sizes. Recommendations are made to optimize decision making and projections about the future of decision making and performance are provided. |
| business decision making models: The Little Book of Big Decision Models James McGrath, 2015-11-17 Leaders and Managers want quick answers, quick ways to reach solutions, ways and means to access knowledge that won’t eat into their precious time and quick ideas that deliver a big result. The Little Book of Big Decision Models cuts through all the noise and gives managers access to the very best decision-making models that they need to to keep things moving forward. Every model is quick and easy to read and delivers the essential information and know-how quickly, efficiently and memorably. |
| business decision making models: Integration Challenges for Analytics, Business Intelligence, and Data Mining Azevedo, Ana, Santos, Manuel Filipe, 2020-12-11 As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students. |
| business decision making models: Behavioral Finance and Decision-making Models Tripti Tripathi, Manoj Kumar Dash, Gaurav Agrawal, 2019 Behavioral finance challenges the traditional assumption that individuals are rational by focusing on the cognitive and emotional aspects of finance, which draws on psychology, sociology, and biology to investigate true financial behavior. The financial sector requires sound understanding of market dynamics and strategic issues to meet future challenges in the field. Behavioral Finance and Decision-Making Models seeks to examine behavioral biases and their impact on investment decisions in order to develop better future plans and strategies in the financial sector. While highlighting topics including behavioral approach, financial regulation, and globalized sector, this book is intended for policymakers, technology developers, managers, government officials, academicians, researchers, and advanced-level students. |
| business decision making models: The Model Thinker Scott E. Page, 2018-11-27 Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's many-model paradigm, which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage. |
| business decision making models: Goal-based Decision Making Stephen Slade, 2013-06-17 This work presents a goal-based model of decision making in which the relative priorities of goals drive the decision process -- a psychological alternative to traditional decision analysis. Building on the work of Schank and Abelson, the author uses goals as the basis for a model of interpersonal relations which permits decisions to incorporate personal and adopted goals in a uniform manner. The theory is modelled on the VOTE computer program which simulates Congressional roll-call voting decisions. The VOTE program expands traditional decision making and simulation models by providing not only a choice, but also a natural language explanation, in either English or French. It simulates real members of Congress voting on real bills, and producing reasonable explanations. The program is consistent with much of the descriptive political science literature on Congressional decision making and provides an explicit model of political issues, relationships, and strategies that converge in voting behavior. In developing the VOTE program, the author draws on his own practical experience in politics from four presidential campaigns and the White House. Given the underlying psychological basis of the program, VOTE can be extended to other decision making domains different from politics. Another use for the program is to simulate business decisions such as securities analysis, as well as mundane decision making such as choosing a college or deciding whether to get a Mohawk haircut. |
| business decision making models: Decision Making Models in Production & Operations Management Michael Ballot, 1986 This text focuses on the application of management decision-making tools in the field of production and operations. It provides an analysis of strategic decision-making problems and solutions on resource allocation, forecasting, and scheduling in manufacturing, services, and inventory management. |
| business decision making models: Decision Making For Dummies Dawna Jones, 2014-09-11 Discover the best approaches for making business decisions Today's business leaders have to face the facts—you can't separate leadership from decision making. The importance of making decisions, no matter how big or small, cannot be overstated. Decision Making For Dummies is a candid resource that helps leaders understand the impact of their choices, not only on business, but also on their credibility and reputation. Designed for managers, business owners, and anyone else who makes tough decisions on a daily basis, this guide helps you figure out if the decisions you're making are the right ones. In addition to helping you explore how to evaluate your choices, Decision Making For Dummies covers ways to receive support for decision making, delves into various decision-making styles, reviews the importance of sifting through data and information, and includes information on ways to engage others and make decisions collectively. Being in charge can be challenging, but with this guide, you don't have to go it alone. Discusses the effects of decision making and outlines the considerations that must be made to gain trust and confidence Demonstrates ways to communicate particularly sensitive decisions, and offers approaches for making bold decisions that challenge the status quo Delves into the risks and benefits of certain decisions, and shows readers the best ways to evaluate choices Outlines smart strategies for engaging others and drawing them into the decision-making process Crucial decisions need to be made every day in the business world, so there's no time to waste. Make Decision Making For Dummies your primary resource for learning to choose your actions wisely and confidently. |
| business decision making models: Decision-making Rebecca Hudson, 2015 This book examines various decision-making processes, influences and its role in business management. The chapters describe the original decision-making approach based on joint use of the multi-criteria method and the method of group preferences in business management; a discussion on the internationalization decision-making process of small-medium enterprises (SMEs); and an examination on the efficiency of computer decision support systems by developing a set of universal analytic models for increasing the efficiency of fuzzy input information processing. |
| business decision making models: Models for Optimum Decision Making Katta G. Murty, 2021-03-14 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. |
| business decision making models: Models and Managers: The Concept of a Decision Calculus John D. C. Little, 2018-03-03 This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. |
| business decision making models: The Leading Practice of Decision Making in Modern Business Systems Elena G. Popkova, Alina V. Chesnokova, 2019-12-02 Concentrating on the Russian model, this book reflects the leading practical experience of decision making in modern business systems and presents innovative technologies and perspectives to optimize this process. |
| business decision making models: Linking Expertise and Naturalistic Decision Making Eduardo Salas, Gary A. Klein, 2001-07 Naturalistic Decision Making is an important area of research in applied psychology. This book comes from selected topics at the 1998 conference on NDM, held in Virginia. |
| business decision making models: Probability Models for Economic Decisions, second edition Roger B. Myerson, Eduardo Zambrano, 2019-12-17 An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty. This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel. |
| business decision making models: Strategic Decisions Vassilis Papadakis, Patrick Barwise, 2012-12-06 Over the past ten years, there has been growing interest in the process of strategic decision-making among both managers and researchers. Strategic decisions are important for five main reasons: They are large-scale, risky and hard to reverse; they are a bridge between deliberate and emerging strategies; they can be a major source of organizational learning; they play an important part in the development of individual managers and they cut accross functions and academic disciplines. Strategic Decisions summarizes the current state of the art in research on strategic decision-making, with chapters prepared by leading strategy researchers. The editors also present implications for current application and proposed directions for future research. |
| business decision making models: BPMN Method and Style Bruce Silver, 2009 Creating business process models that can be shared effectively across the business - and between business and IT - demands more than a digest of BPMN shapes and symbols. It requires a step-by-step methodology for going from a blank page to a complete process diagram. It also requires consistent application of a modeling style, so that the modeler's meaning is clear from the diagram itself. Author Bruce Silver explains not only the meaning and proper usage of the entire BPMN 2.0 palette, but calls out the working subset that you really need to know. He also reveals the hidden assumptions of core concepts left unexplained in the spec, the key to BPMN's deeper meaning. The book addresses BPMN at three levels, with primary focus on the first two. Level 1, or descriptive BPMN, uses a basic working set of shapes and symbols to meet the needs of business users doing process mapping. Level 2, or analytical BPMN, is aimed at business analysts and architects. It takes advantage of BPMN's expressiveness for detailing event and exception handling, key to analyzing and improving process performance and quality. Level 3, or executable BPMN, is brand new in BPMN 2.0. Here the XML underneath the diagram shapes becomes an executable design can be deployed to a process engine to automate the process. The method and style detailed in the book aligns these three levels, facilitating business-IT collaboration throughout the process lifecycle. Inside the book you'll find discussions, illustrated with over 100 examples, about: The questions BPMN asks, and does not ask The meaning of basic concepts like starting and completing, sending and receiving, waiting and listening Subprocesses and hierarchical modeling style The five basic steps in creating Level 1 models Event and exception-handling patterns Branching and merging patterns Level 2 modeling method Elements of BPMN style: element usage and diagram composition |
| business decision making models: Consensus-Oriented Decision-Making Tim Hartnett, 2011-04-01 A step-by-step guide to the most efficient and effective method for participatory group decision-making Are you frustrated by that common challenge called group decision-making? Consensus-Oriented Decision-Making can help! Clearly written and well organized, keep this book by your side and refer to it often. Groups you are part of will function better as a result. -- Peggy Holman, author, Engaging Emergence: Turning Upheaval into Opportunity For any group or organization to function effectively, it must be able to make decisions well. Consensus-Oriented Decision-Making is the first book to offer groups (and group facilitators) a clear and efficient path to generating widespread agreement while fostering full participation and true collaboration. Poised to become the new standard for group facilitation, Consensus-Oriented Decision-Making combines: Deep insight into complex group dynamics Effective conflict resolution techniques Powerful communication skills Groups using this simple, step-by-step approach experience increased cohesion and commitment and stronger relationships as a result of their successful cooperation. Incorporating the principles of collaboration, inclusion, empathy, and open-mindedness, the consensus-oriented decision-making (CODM) process encourages shared ownership of group decisions. The method can be used in any group situation, regardless of whether the final decision-making power rests with a single person or team, a vote of members, or unanimity. Business, government, nonprofit, social, and community organizations can all benefit from Consensus-Oriented Decision-Making . Whether you are a designated facilitator or an active participant, understanding this powerful framework will help you contribute to the success of your group through achieving maximum participation and efficiency, a clearer decision-making process, better decisions, and improved group dynamics. Tim Hartnett, PhD, is a group facilitator and mediator who blends extensive knowledge of non-violent communication with insightful understanding of group dynamics and effective techniques for conflict resolution. |
| business decision making models: Decision Analysis, Location Models, and Scheduling Problems H. A. Eiselt, Carl-Louis Sandblom, 2004-01-12 The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. The combination of these topics is not an accident: decision analysis can be used to investigate decision seenarios in general, location analysis is one of the prime examples of decision making on the strategic Ievel, project scheduling is typically concemed with decision making on the tactical Ievel, and machine scheduling deals with decision making on the operational Ievel. Some of the chapters were originally contributed by different authors, and we have made every attempt to unify the notation, style, and, most importantly, the Ievel of the exposition. Similar to our book on Integer Programming and Network Models (Eiselt and Sandblom, 2000), the emphasis of this volume is on models rather than solution methods. This is particularly important in a book that purports to promote the science of decision making. As such, advanced undergraduate and graduate students, as weil as practitioners, will find this volume beneficial. While different authors prefer different degrees of mathematical sophistication, we have made every possible attempt to unify the approaches, provide clear explanations, and make this volume accessible to as many readers as possible. |
| business decision making models: The Managerial Decision-making Process E. Frank Harrison, 1995 Rather than present decision making strictly as a quantitative science, this text views it as a multidimensional process involving values, psychology, sociology, social psychology, and politics. Using a process modela focus on the process of a decision rather than the outcomethe book presents a variety of perspectives useful for making and evaluating decisions in all kinds of organizations. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and….
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that….
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or….
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned before it happens: 2. made….
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you….
ENTREPRENEUR | English meaning - Cambridge Dictionary
ENTREPRENEUR definition: 1. someone who starts their own business, especially when this involves seeing a new opportunity….
CULTIVATE | English meaning - Cambridge Dictionary
CULTIVATE definition: 1. to prepare land and grow crops on it, or to grow a particular crop: 2. to try to develop and….
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the….
LIAISE | English meaning - Cambridge Dictionary
LIAISE definition: 1. to speak to people in other organizations, etc. in order to work with them or exchange….
