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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
This book outlines the creative process of making environmental management decisions using the approach called "Structured Decision Making." It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. ""This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress - in a way that is rigorous, inclusive, defensible and transparent - requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/sdm to access the figures and tables from the book.
This book provides an insight into the black-box of leadership learning that acts as a companion to guide leadership development. It has been written to enable the reader to reflect on their own experience and critique this against four case profiles of leadership learning: the public and private sectors; women managers; and owner-managers.
Every year the US federal government will spend roughly 100 billion dollars through competitive IDIQ (Indefinite Duration Indefinite Quantity) contracts. When you add in contracts awarded by State governments and commercial organizations using very similar processes you're looking at 700 billion dollars' worth of business. Getting a slice of that pie depends on how well you manage the contracting project. This is because IDIQs are essentially empty contract structures which then require a second round of winning task orders. For contracts with the government, this two-step structure which is specified in law and regulation, has specific pitfalls and opportunities which are rarely the subject of contract and project management training. Salesky's coaching style talks you through the specific challenges in the startup, management, and closing of the IDIQ. This book gives a pragmatic and best-practice description of the entire life cycle of this type of contract offering you the "inside advisor" you need to help you through the pragmatics issues of clients', performers', and bosses' expectations.
Managing the Football World Cup explores areas often overlooked by project management and business studies researchers. Therefore considering the global impact of the Football World Cup it is time for a detailed examination of the planning, organization, management, implementation and related commercial features of this mega-sport event.
"Inside the Multi-Generational Family Business" is an inside look at how familial relationships affect the success or the failure of the family business. Many family business owners encounter conflict between siblings, children, and other relatives--especially when they're all involved with the business. The author's message is simple: family businesses today are saddled with "generational stack-up," or the convergence of several generations as owners, managers, employees, and shareholders, often without even knowing it. Each generation has its own work style, biases, and approach to money and business. Through detailed analysis of the various generations and the characteristics that define them in the family business, a more comprehensive understanding of the dynamics of the family in the family business can move the multi-generational family business from chaos and conflict to true collaboration and improved performance.
The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of 'the factories of the future', which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.
Today's workplace demands skills for a knowledgeable, productive use of information. Success, both personal and organizational, comes from finding what is essential and optimizing its effectiveness. Goad teaches readers how to swim in a potentially overwhelming sea of data. Information literacy--the ability to recognize the need for information, to locate, access, select, and apply it--was once an academic matter. Nowadays, this critical array of skills concerns anyone working in a knowledge-based environment. This easy-to-read, lucid guide attends to basic skills, thinking and decision-making, creativity enhancement, innovation and risk taking, computer literacy, subject matter literacy, learning how to learn, and securement of on-the-job help. As a special bonus, Goad discusses an unusual but highly relevant topic: how do we place work into the framework of our lives, and how can information literacy help? Both public and private sectors will find this an important resource for people at all organizational levels, making it a must have for anyone whose world is built on information.
Companies are constantly faced with the need to grow and advance in order to compete with other corporations. The implementation of computer innovations allows for smoother transitions to adaptive changes through the use and understanding of analytical tools. Modeling and Simulation Techniques for Improved Business Processes is a critical scholarly resource that examines the systems currently implemented in companies and how they can be upgraded and advanced through various computer design methods. Featuring coverage of a broad range of topics including scenario planning, casual modeling, and system dynamics, this publication is targeted toward researchers, professionals, and engineers searching for current research on corporate innovations created through computer design methods.
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIsekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realite (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker's subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
Updated examples throughout the book feature current business problems and events and incorporate new, relevant research. New discussions and insights on topics such as 'blind spots', overconfidence, and ethical decision making. New content exploring recent controversies in the field of judgment and decision making.
Formal decision and evaluation models are sets of explicit and well-defined rules to collect, assess, and process information in order to be able to make recommendations in decision and/or evaluation processes. They are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. Our earlier companion volume, Evaluation and Decision Models, heavily criticised formal models but also argued that they could be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide aimed at helping the analyst to choose a model and use it consistently. We propose a sound analysis of techniques and our presentation can be extended to most decision and evaluation models as a decision aiding methodology. This volume is intended for the enlightened practitioner, for anyone who uses decision or evaluation models - for research or for applications - and is willing to question his practice, to have a deeper understanding of what he does.
This book presents a personal financial decision making model based on six dominant decision making pathways. It outlines each pathway in detail before focusing on real estate investments in the second part of the book. Based on the authors extensive research into investment decision making, decision modeling and experimental psychology, strategies presented in this book will facilitate more successful investment decision making.
Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.
Jay Mendell explores the profound implications and consequences of the forecaster's new and changing role in an economy based on high-technology entrepreneurship. This incisive text explains the principles of nonextrapolative forecasting/planning and compares them with conventional forecasting/planning methods. Case studies of nonextrapolative forecasting and planning in Sears, AT&T, a large hotel chain, an electric power company, and the Security Pacific Bank are provided. They deal with the practical problems of setting up forecasting/planning groups and maintaining their existence and influence through internal planning processes. The political process of acceptance and implementation of forecasting/planning is also explained. Comprehensive planning and forecasting documents are included as appendix material.
More than a fad, teaming is proving to be a new way of
organizational life, with eight out of every ten employees now
involved in some kind of teamwork. But how exactly does one play on
a team at work? While there are plenty of manuals, trainers, and
theories that help managers create, lead, and reward teams, actual
team members are often left struggling without a handbook or a
coach.
A strong business model is the bedrock to business success. But all too often we fail to adapt, clinging to outdated business models that are no longer promising the results we need. This new edition builds on the well-known methodology of the first edition to allow you to innovate, test and implement new business models within your industry. Discover the idea of business model innovation, from structuring the process of innovation of a company's business model to encouraging outside-the-box thinking. With expert authors, The Business Model Navigator combines learning research with evidence of high practical impact, allowing you to master the transformation journey and lead your business to success. |
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