![]() |
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
||
|
Books > Business & Economics > Business & management > Management & management techniques > Management decision making
At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.
Intellectual Capital scores highly on the agenda of practicing managers and academics as they all try to disentangle such problems as how to identify and measure intellectual capital and how to value and report intangibles and invisible assets. Few people doubt the importance of measuring, managing, and reporting intangibles such as Intellectual Capital and most practitioners and scholars are in agreement that intangible assets such as knowledge, brand, relationships, organizational culture, and intellectual property are the primary drivers of competitiveness in todays global economy. Governments, research organizations, and private corporations are sponsoring projects to develop the area of intangible assets. Different tools are being developed to handle intangibles. such as strategic approaches like the business scorecard or management frameworks, or financial perspectives dealing with real options or value based approaches. A significant problem people face when they first delve into this area is that the definitions are not clear and neither are the boundaries. This is, to a large extent, due to the multidimensional nature of the topic. research. The result is little cross-fertilization of ideas and concepts. Thus, although the concept of intellectual capital is truly multidisciplinary, there is little agreement and significant confusion concerning its nature, available tools, their usage, as well as the extent to which such tools are applied in organizations. Perspectives on Intellectual Capital is aimed at addressing exactly these challenges. First, it will bridge the disciplinary gaps and facilitate knowledge transfer across disciplines. Secondly, it will provide an introduction to intangibles for those new to the field. The book offers functional perspectives and therefore a truly comprehensive understanding of what intellectual capital is, what it stands for, what is state of the art in each discipline and where it will go in the future. The book features views on intellectual capital from an accounting, strategy, marketing, human resource management, operations management, information systems, and economics position. perspectives of public policy, knowledge management and epistemology. The final part of the book will extract the key trends and try to create bridges across disciplines in order to open up trajectories for future developments, learning, and practice. The book is structured methodologically, designed to provide a holistic understanding of the field. The structure of each chapter will start with an explanation and a review of the background and development of intellectual capital in relation to the discipline being discussed. It will cover a historic review in order to explore the triggers and reasons why intangibles have become important and above all it will provide definitions and clarify the language used to describe intellectual capital. This part will address the key believes and theoretical foundations on which views on intellectual capital are based. Each chapter will then outline the evolution of theoretical concepts and will give the reader an insight into which theoretical tools and techniques have been developed to manage, measure, or report intangibles. second part is then contrasted with the extent to which these tools and techniques are used by in practice. It will include a selection of best practice examples of how real organizations apply these tools and techniques. This will uncover possible gaps between theory and practice. We expect different gaps for different disciplines, in some theory will lead practice whereas in others theory might lag practice. In this way the reader will see potential for both transfer of theoretical concepts into practice as well as for grounding practical concepts into theory. The final part of each chapter will look to the future. It will try to identify how mature the theme is in each of the disciplinary views and discuss how intellectual capital might develop. In this, the authors seek to identify the major challenges that will need to be addressed in the future and give an outline of possible barriers and enablers.
Decision-making tools are needed to support environmental management in an increasingly global economy. Addressing threats and identifying actions to mitigate those threats necessitates an understanding of the basic risk assessment paradigm and the tools of risk analysis to assess, interpret, and communicate risks. It also requires modification of the risk paradigm itself to incorporate a complex array of quantitative and qualitative information that shapes the unique political and ecological challenges of different countries and regions around the world. This book builds a foundation to characterize and assess a broad range of human and ecological stressors, and risk management approaches to address those stressors, using chemical risk assessment methods and multi-criteria decision analysis tools. Chapters discuss the current state-of-knowledge with regard to emerging stressors and risk management, focusing on the adequacy of available systematic, quantitative tools to guide vulnerability and threat assessments, evaluate the consequences of different events and responses, and support decision-making. This book opens a dialogue on aspects of risk assessment and decision analysis that apply to real-time (immediate) and deliberative (long-term) risk management processes.
This book is an extension of the author's first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN). It walks the learner through the steps of fitting and solving fifty BBN numerically, using mathematical proof. The author wrote this book primarily for inexperienced learners as well as professionals, while maintaining a proof-based academic rigor. The author's first book on this topic, a primer introducing learners to the basic complexities and nuances associated with learning Bayes' theorem and inverse probability for the first time, was meant for non-statisticians unfamiliar with the theorem-as is this book. This new book expands upon that approach and is meant to be a prescriptive guide for building BBN and executive decision-making for students and professionals; intended so that decision-makers can invest their time and start using this inductive reasoning principle in their decision-making processes. It highlights the utility of an algorithm that served as the basis for the first book, and includes fifty 2-, 3-, and 4-event BBN of numerous variants.
Very few software projects are completed on time, on budget, and to their original specification causing the global IT software industry to lose billions each year in project overruns and reworking software. Research supports that projects usually fail because of management mistakes rather than technical mistakes. Risk Management in Software Development Projects focuses on what the practitioner needs to know about risk in the pursuit of delivering software projects.Risk Management in Software Development Projects will help all practicing IT Project Managers and IT Managers understand: * Key components of the risk management process * Current processes and best practices for software risk identification * Techniques of risk analysis * Risk Planning * Management processes and be able to develop the process for various organizations
Intelligent IT Outsourcing enables practitioners to focus in on the essential issues that need to be addressed so that the fundamental structure of their sourcing strategy and its implementation is sound. The authors provide insight into the challenges likely to be faced and give detailed advice on how to pre-empt and manage these. IT and outsourcing continue to be problematic, not least because
fundamental learning about this subject fails to be applied
systematically, and because IT is inherently difficult to manage.
The economics are not obvious and emerging technologies have to be
addressed, therefore IT goes to the heart of many enterprises and
interfaces with multiple business units and processes, and there
are continuous skills shortages.
Not a data expert? Here's an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you'll encounter. You're a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across your desk-let alone make critical business decisions based on the information they're designed to convey? In The Big Picture, top data visualization consultant Steve Wexler provides the tools for developing the graphical literacy you need to understand the data visualizations that are flooding your inbox-and put that data to use. Packed with the best four-color examples created in Excel, Tableau, Power BI, and Qlik, among others, this one-stop resource empowers you to extract the most important information from data visualizations quickly and accurately, act on key insights, solve problems, and make the right decisions for your organization every time.
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. Concepts of Combinatorial Optimization, is divided into three parts: - On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity; - Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming; - Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.
Debra M. Amidon, a worldwide pioneer in knowledge strategy, once again leads you into the future by charting the intersection of knowledge management and innovation into a new frontier called 'Knowledge Innovation.' Groundbreaking and well researched, 'The Innovation SuperHighway' provides global insights into how you can use knowledge processes and tools to sustain high levels of innovation among all stakeholders to gain a competitive positioning.'The Innovation SuperHighway' awakens the realization that information, economic infrastructures, computer and communications technology - and even knowledge management and ICT's, has been a journey toward profitable and prosperous innovation. Providing the sound rationale for knowledge strategy, Amidon defines the global vision on all levels of economy the enterprise, the national economy and societal transformation.'The Innovation SuperHighway' turns knowledge vision into innovation practice.
Thoughtful and provocative, 'Realizing the Promise of Corporate Portals' illustrates the vast potential of corporate portals and what your company can do to implement them for business success. Based on the authors' extensive backgrounds and consulting focused on implementing corporate portals this exciting new book extends IT theory into business strategy. Terra and Gordon explore the components and architecture of typical corporate portals and fundamental issues in knowledge management. Geared for decision makers at the executive level, this book provides a comprehensive view of the market landscape, powerful and detailed case studies, and collected best practices and lessons learned to help organizations successfully implement corporate portals. The book also includes detailed checklists necessary for selecting and implementing appropriate corporate portal technical solutions.Learn from their detailed case studies of hugely successful corporate portal implementations, including: * ADC Telecommunications Inc.* Bain & Company* Bank of Montreal* Context Integration* Eli Lilly* Hill & Knowlton* Nortel Networks* SERPRO* Siemens* Texaco * Xerox
We are now in the 'third wave' of Knowledge Management - the first
was focused on the potential of new technology, while the second
focused on the nature of knowledge and how people 'know' and learn.
The focus in the third phase is two-fold: building individual and
team productivity, and proper alignment of Knowledge Management
efforts in helping deliver on strategic goals of the organization.
Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). The book is edited by Professor J. Scott Armstrong of the Wharton School, University of Pennsylvania. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods. There are judgmental methods such as Delphi, role-playing, and intentions studies. Quantitative methods include econometric methods, expert systems, and extrapolation. Some methods, such as conjoint analysis, analogies, and rule-based forecasting, integrate quantitative and judgmental procedures. In each area, the authors identify what is known in the form of if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. To ensure that the principles are correct, the authors reviewed one another's papers. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. The book includes the first comprehensive forecasting dictionary.
Managing Risk in Organizations offers a proven framework for handling risks across all types of organizations. In this comprehensive resource, David Frame— a leading expert in risk management— examines the risks routinely encountered in business, offers prescriptions to assess the effects of various risks, and shows how to develop effective strategies to cope with risks. In addition, the book is filled with practical tools and techniques used by professional risk practitioners that can be readily applied by project managers, financial managers, and any manager or consultant who deals with risk within an organization. Managing Risk in Organizations is filled with illustrative case studies and
This succinct and practical reference/text presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems-emphasizing the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. Offers new insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff. What Every Engineer Should Know About DECISION MAKING UNDER UNCERTAINTY presents new paradigms for engineering decision making covers customer-focused engineering decision making details spreadsheet simulation methods to help avoid bias and habitual behavior discusses continuous quality improvement versus business reengineering processes illustrates information value in decision making during uncertainty analyzes capital budgeting discusses the accuracy of sample estimates presents practical case studies from various engineering disciplines and shows how to tailor the illustrated methods to different applications Predicting outcomes of engineering decisions through regression analysis, this reference will benefit mechanical, civil, electrical and electronics, materials, chemical, mineral, cost, quality, reliability, industrial, product development, safety, forensic, and consulting engineers; architects; engineering managers; and project and program managers; and is an essential text for upper-level undergraduate, graduate, and continuing-education students in these disciplines.
The WTO has laid the foundations for a new era of trade relations, and increased trade liberalization has improved global efficiency in production and consumption. The strengthening of trade rules, however, has increased the scope for disputes over interpretations of more extensive and complicated agreements, and has spilt over into environmental and scientific matters. One of the unforeseen consequences of the WTO agreements has been controversy over risk. This volume explores aspects of risk with special reference to the WTO, where national instruments to reduce risk may conflict with international trade rules. The book is divided into sections dealing with: * accounting for risk in trade agreements * risk and the WTO * managing risk in policy making * negotiating experience with risk * national risks and quarantine standards * managing biotechnology. The chapters offer many perspectives on risk assessment and benefit from a rich diversity of approaches as befits contributions from authors with backgrounds in law, economics, political science and environmental and natural science as well as policy making. Globalization and the Environment is a fascinating book that will draw its readership from these fields.
To comply with legal and other standards, businesses and regulators are increasingly required to make decisions based on risk assessments of the potential effects of their activities on the environment. Atmospheric dispersion modelling is a cost-effective method, allowing various scenarios to be explored before expensive investment takes place. This guide offers advice on this environmental management tool. Unlike much of the previous literature, it doesn't focus excessively on the mathematical theory behind the modelling or on modelling for specific regulatory purposes. Instead, it offers an understanding of the background to the methodologies, providing exercises to develop the skills to carry these out and including examples of the use of commercially available models to enable the reader to assess the results of modelling for risk assessment.
'Learning through Knowledge Management' provides an insightful overview of the main issues integrating learning and Knowledge Management. It offers a rich resource of case examples that highlight Knowledge Management in practice. The text explores and defines learning and Knowledge Management concepts, and deals with the elements that play an important part in determining implementation success in the organization. The chapters present a managerially oriented discussion of the following key areas: * The role of processes in managing knowledge* The behavioural side of Knowledge Management * Leadership reflexes for knowledge management success* The key features of Information Technology required for Knowledge Management* The future of Knowledge Management as part of organization management.There are many case studies which include: British Airways BP Amoco Ford Hewlett Packard Xerox Swedish Police IBM The case studies encompass a diverse and broad range of sectors, maturity of practice, problems and approaches to Knowledge Management.
Tavistock Press was established as a co-operative venture between the Tavistock Institute and Routledge & Kegan Paul (RKP) in the 1950s to produce a series of major contributions across the social sciences. This volume is part of a 2001 reissue of a selection of those important works which have since gone out of print, or are difficult to locate. Published by Routledge, 112 volumes in total are being brought together under the name The International Behavioural and Social Sciences Library: Classics from the Tavistock Press. Reproduced here in facsimile, this volume was originally published in 1973 and is available individually. The collection is also available in a number of themed mini-sets of between 5 and 13 volumes, or as a complete collection.
Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic resembles human reasoning in its use of imprecise informa tion to generate decisions. Unlike classical logic which requires a deep under standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy logic allows expressing this knowledge with subjective concepts such as very big and a long time which are mapped into exact numeric ranges. Since knowledge can be expressed in a more natural by using fuzzy sets, many decision (and engineering) problems can be greatly simplified. Fuzzy logic provides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the un certainties associated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for representating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic do not provide an appropriate con ceptual framework for dealing with the representation of commonsense knowl edge, since such knowledge is by its nature both lexically imprecise and non categorical."
"Organization and Management in the Embrace of Government" is an
original exploration of how governments affect the ways people
organize themselves, manage those organizations, and respond to the
organizations thus created. It is a grounded theory of how
governments that are weak, erratic, or hostile undermine complex
organization, trust, meritocracy, commitment, and other implicit
expectations about how organizations operate. Scholars, students,
and all those interested in a better understanding of how
governments affect our cultural expectations of one another, our
organizations, and the economies based upon them will find this
groundbreaking volume to be a rich resource.
"Organization and Management in the Embrace of Government" is an
original exploration of how governments affect the ways people
organize themselves, manage those organizations, and respond to the
organizations thus created. It is a grounded theory of how
governments that are weak, erratic, or hostile undermine complex
organization, trust, meritocracy, commitment, and other implicit
expectations about how organizations operate. Scholars, students,
and all those interested in a better understanding of how
governments affect our cultural expectations of one another, our
organizations, and the economies based upon them will find this
groundbreaking volume to be a rich resource.
While theories on learning organizations' and knowledge-based companies' have recently emerged, little attention has yet been given either to the underlying structures of these developments, or to the link between these underlying structures and the resources available to manage them. Organizational Learning and Knowledge Technologies in a Dynamic Environment attempts to fill this gap. It thus presents practical and concrete ways for companies to be adaptable and flexible whilst operating effectively and efficiently. Underlying concepts and insights into flexible management and chaotic market behavior are translated into a pragmatic approach to knowledge management within companies, using the latest technology. Corporate knowledge is increasingly proving to be not only an important resource, but possibly unique in its sustainability. Managing knowledge as a resource, as well as managing learning as the process which creates that resource, can only be done using appropriate information technologies. The foundational concepts discussed emerge from such fields as neurobiology, cognitive sciences, physics, and organizational theory. These are applied to management and substantiated with examples. New developments in knowledge management, such as connectionist approaches, are outlined and illustrated with real cases. The author further describes an approach for developing knowledge networks in companies. The annex offers readers with an advanced interest in the matter an epistemological discussion on scientific methods for management research and touches in a broader sense on the measurability of management processes.
An innovative business guide, "Energizing Organizations: A New Method for Measuring Employee Engagement to Boost Profits and Corporate Success" draws on reality-based, compelling fiction to show the destructive nature of working environments and discuss breakthroughs in employee involvement and health. Two employees at a company have strokes and another dies of a heart attack within a span of three weeks. The young manager knows he inherited a poorly managed department, but he is not prepared for serious illness and death. The first day back after New Year's, a tyrant CEO terrorizes his company by firing three employees. He likes to start the New Year this way to send a message to everyone that when he threatens to fire someone, he means it. Author Michael Koscec uses these two real-life stories to provide compelling, entertaining, and informative explanations about the impact workplace practices and leadership behaviors have on employee engagement and well-being. Koscec graphically illustrates the psychological pain and serious physical diseases-even death-experienced by employees who work in toxic environments. However, he also offers hope by showing what was done to turn a toxic workplace into a healthy workplace. Let "Energizing Organizations" make your job easier and your organization more successful
Knowledge Horizons charts the feasible future for knowledge management. This practical and provocative resource presents the work of many of the leading voices in knowledge management and related disciplines, who explore the current trends and offer pragmatic and authoritative thinking on applied knowledge management from a variety of positions. Knowledge management is the new frontier for businesses, organizations, and institutions of all kinds. For those that hope to conquer this new territory, establishing a better understanding of current and future knowledge management trends and adoption of the most effective practices is imperitive. There are numerous options for executives: intranets, extranets, groupware, and core competencies are continually being refined. New entitites and rules in terms of intellectual capital and the "Chief Knowledge Officer" are emerging. Knowledge Horizons addresses these issues by exploring current and future knowledge management trends, gauging the future value of knowledge management investments, and how they will drive new business initiatives, and integrates the experience and insights of managers and cutting-edge research from experts in the field. |
You may like...
Proceedings of the 14th International…
Eugeniusz Rusinski, Damian Pietrusiak
Hardcover
R2,841
Discovery Miles 28 410
Configurable Intelligent Optimization…
Fei Tao, Lin Zhang, …
Hardcover
R2,703
Discovery Miles 27 030
Power Amplifiers for the S-, C-, X- and…
Mladen Bozanic, Saurabh Sinha
Hardcover
Low Power Hardware Synthesis from…
Gaurav Singh, Sandeep Kumar Shukla
Hardcover
R2,746
Discovery Miles 27 460
|