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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book.
Beyond Knowledge Management provides a balance of conceptual and practical aspects of Knowledge Management, offering the opportunity for students and practitioners to understand and effectively consider knowledge management approaches in their organizations. Everyday examples are used to lead the reader into the development of Knowledge Management, then further into a conceptual perspective, and finally to the practical application of Knowledge Management in organizations.
A successful Wall Street trader turned neuroscientist reveals how
risk taking and stress transform our body chemistry
Provocative and controversial, the information found in Empowered Investing reveals powerful tricks of the investment trade. It will give you the education and information to be a confident, informed, and hugely successful investor. The most successful investors in history, such as Charles Henry Dow, used unique analysis and charting methods. These are the secrets Wall Street doesn't want you to know. Relying on the media and Wall Street research is painful and no longer necessary. With the advice offered by author Joseph F. LoPresti, you'll learn to chart stocks like Dow, isolate hot sector opportunities, and select the strongest stocks to buy through a series of easy, almost effortless strategies. These exercises will also help you reduce risk and give you a "sell discipline," something desperately needed by most investors. Once you read "Empowered Investing," you'll see how easy it is to implement these startling strategies. "Empowered Investing" will introduce a different way to make investment decisions that will instantly help you manage your portfolio, build your wealth, and enrich your life.
The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for intractable problems of combinatorial optimization. A PSC-algorithm is an algorithm which includes: sufficient conditions of a feasible solution optimality for which their checking can be implemented only at the stage of a feasible solution construction, and this construction is carried out by a polynomial algorithm (the first polynomial component of the PSC-algorithm); an approximation algorithm with polynomial complexity (the second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient conditions were found, fulfilment of which during the algorithm execution turns it into a polynomial complexity algorithm. Practitioners and software developers will find the book useful for implementing advanced methods of production organization in the fields of planning (including operative planning) and decision making. Scientists, graduate and master students, or system engineers who are interested in problems of combinatorial optimization, decision making with poorly formalized overall goals, or a multiple regression construction will benefit from this book.
A 3-step process for solving complex problems of any kind: Frame, Ideate, Decide. Solvable offers practical tools that are both evidence-based and presented in an accessible and visual way to help you improve all aspects of problem solving at work and home.
This work highlights the coming age of management information systems for all types of executives by focusing on executive information systems, or EIS. Serving as a data-intensive system, an EIS offers a snapshot of a company's past and present operations as a way of predicting the future. In this book, Robert Thierauf provides a complete picture of executive information systems, from an introduction of what these systems are all about, to the hardware, software, and applications that form the basis of an EIS environment. The work is divided into four basic sections. The first provides an overview of executive information systems, discussing the real need for an EIS, the essential characteristics underlying it, and its relationship to prior management information systems. The types of executive decision making typically found in an EIS environment, illustrated with specific examples, are also examined. The second section focuses on the computer hardware and software that is useful within an EIS operating mode, along with on-line databases that assist executives in decision making. The development of executive information systems is covered in section three, which features current approaches for executives and their staffs as well as methods to be followed by the Management Information Systems department. Finally, section four addresses various aspects of working in an EIS environment, including strategic planning, marketing, manufacturing, finance, and personnel. A master case study is presented, and each topic is explored in relation to it. Typical EIS applications are also described for each of the topic areas. With its combination of both EIS theory and practical applications, this work will be a valuable resource for senior executives and MIS professionals as well as for students of management and information systems. Public, academic, and business libraries will also find it to be a useful addition to their collections.
This book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. This includes the concept of nondominance, Simon's bounded rationality, Tversky and Kahneman's prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius. The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms. In essence, the book is a "one-stop" source on everything you need to know about managerial decision-making in the multiple-criteria setting.
Why aren't we investing more in disaster resilience, despite the rising costs of disaster events? This book argues that decision-makers in governments, businesses, households, and development agencies tend to focus on avoiding losses from disasters, and perceive the return on investment as uncertain - only realised if a somewhat unlikely disaster event actually happens. This book develops a new business case for investment based on the multiple dividends of resilience. This looks beyond only avoided losses (the first dividend) to the wider benefits gained independently of whether or not the disaster event occurs. These include unleashing entrepreneurial activities and productive investments by lowering the looming threat of losses from disasters and enabling businesses, farmers and homeowners to take positive risks (the second dividend); and co-benefits of resilience measures beyond just disaster risk (the third dividend), such as flood embankments in Bangladesh that double as roads, or wetlands in Colombo that reduce urban heat extremes.
Learn how to manage and leverage risk Like all organizations in today’s volatile marketplace, nonprofits are under tremendous pressure to be more accountable for their operations, specifically to funders, donors, clients, and the public at large. Proper risk management can not only help nonprofits create a sound and transparent financial structure, but also exploit new development opportunities that may not otherwise be realized. Managing Risk in Nonprofit Organizations shows managers how to implement sound risk management procedures in every aspect of their organization. The authors divide their guide into three sections–The Nature and Purposes of Risk Management, Recognizing the Context for Risk Management, and Risk Financing for Nonprofits. A large array of potential risks is covered, including:
Senior level managers and executives at nonprofits, board members, and professional risk managers will find Managing Risk in Nonprofit Organizations to be an invaluable guide to this vital topic.
The cultural, social, and economic history of mankind is characterized by a succession of needs and problems that have stimulated the invention of operational and conceptual tools to facilitate their solution. The continuous presentation of new needs, an attempt to improve partial solutions to old problems, curiosity, and the disinterested search for knowledge then constituted the fundamental push for scientific, cultural, economic, and social progress. In an increasingly digital society, where software technological tools permeate daily life and, consequently, change the management of reality, mastering of transversal skills is crucial for success. Computational thinking is a set of transversal skills related to the foundations of computer science as a scientific discipline and means a mastering to the process of solving problems. The goal of computational thinking is to acquire interpretative perspectives of reality, which allows one to read the digital experience competently and responsibly. Computational Thinking for Problem Solving and Managerial Mindset Training explores how individuals can be trained into managerial mindsets through computational thinking and computer science. It explores how computer science can be used as a valid guideline to develop skills such as effective soft skills, communication skills, and collaboration. Further, the chapters explore the adoption of computational thinking for individuals to gain managerial mindsets and successfully solve questions and problems in their domain of interest. This will include artificial intelligence applications, strategic thinking, management training, ethics, emergency managerial mindsets, and more. This book is valuable for managers, professionals, practitioners, researchers, academicians, and students interested in how computational thinking can be applied for the training of managerial mindsets.
Responsible behaviors in the realm of business continue to remain a crucial component of organizational development. By exploring core aspects of contemporary corporate strategies, businesses can create more value in social welfare initiatives. CSR 2.0 and the New Era of Corporate Citizenship is an authoritative reference source for the latest scholarly research on the ways in which corporate entities can implement responsible strategies and create synergistic value for both businesses and society. Featuring extensive coverage across a range of relevant perspectives and topics, such as corporate citizenship, stakeholder engagement, and business ethics, this publication is ideally designed for students, academics and researchers seeking current concise and authoritative research on the business case for corporate social responsibility.
This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.
Forged at the heart of international political bodies by expert researchers, the innovation cluster concept has been incorporated into most public policies in industrialized countries. Based largely on the ideas behind the success of Silicon Valley, several imitative attempts have been made to geographically group laboratories, companies and training in particular fields in order to generate "synergies" between science and industry. In its first part, Innovation in Clusters analyzes the infatuation with the system of clusters that is integral to innovative policies by analyzing its socio historical context, its revival in management and its worldwide expansion, looking at a French example at a local level. In its second part, the book explores a specialized biotechnology cluster dating back to the end of the 1990s. The sociological survey conducted twenty years later sheds a different light on the dynamics and relationships between laboratories and companies, contradicting the commonly held belief that innovation is made possible by geographical proximity.
Self-Knowledge plays an important role in making decisions and is instrumental in deciphering fact from false information: it is an inward tool, unique and changeable. Inward tools are essential in interpreting and processing information to create understanding and helping to determine illogical knowledge, whilst also fluctuating with the multifaceted and ever-changing awareness of the self that means the results of Self-Knowledge vary between individuals. Self-Knowledge and Knowledge Management Applications highlights and emphasizes the vital role of the human element in Knowledge Management, from which Self-Knowledge forms and functions. Self-Knowledge and Knowledge Management Applications covers the role and complexities of Self-Knowledge in the knowledge management process and Weed-Schertzer explains the separate and intertwined branches of Explicit Knowledge (tangible and transferrable), Tacit Knowledge (not easily transferrable) and Self-Knowledge (inward knowledge) and their applications in a business environment. Defining and explaining how Self-Knowledge enhances the application of each of these knowledge types when used both independently and collectively, Self-Knowledge and Knowledge Management Applications is essential reading for professionals and students across multiple disciplines, from business and management to strategy and technology.
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
The main objective of this reference book is to provide valuable insight of today's important changes caused by the COVID-19 pandemic shock in terms of defining, characterizing, presenting and understanding the meaning, challenges and implications of responsible and sustainable business. Important questions tend to appear once focusing on the broad topic represented by the idea of responsible and sustainable business, while addressing the important changes caused by the COVID-19 pandemic shock. This book provides an updated view of the newest trends, novel practices and latest tendencies concerning the manner of addressing and creating responsible and sustainable business, while striving to understand those important changes caused by the Covid-19 pandemic shock. The target audience is represented by academics, scientists, researchers, students, PhD scholars, and post-doctoral students. Also, this reference book presents important features concerning sustainable development goals, challenges and practices, while emphasizing the key determinants in achieving performance and excellence, which proves to be extremely valuable for specialists, practitioners, governmental institutions, and policy makers' worldwide. Nevertheless, this scientific book represents a well-documented and well-developed work for business leaders, entrepreneurs and managers, as well as highly prominent individuals involved in decision making processes.
While many nations are still struggling from the global financial crisis and regaining their financial security, investors are considering alternative options for investing their money; and the secure financial sector is China appears as a viable option. International Cross-Listing of Chinese Firms examines the successful techniques and strategies that Chinese companies are using within their financial practices. It highlights the foreign-based multinational enterprise theories related to the major international stock markets. By providing the latest theories and research, this book will be beneficial for business practitioners, researchers, and managers interested in the relationship between cross-listing and firm valuation of Chinese firms.
This book explores the methodological frontiers of managerial and organizational cognition (MOC), an exciting and diverse interdisciplinary body of work that began with the publication in 1958 of James G. March and Herbert A. Simon's classic work Organizations. Entering its fourth decade, the field gained significant momentum following the appearance of Anne S. Huff's (1990) book Mapping Strategic Thought, which explored the (then) methodological frontiers of MOC. The world has changed since then and so, too, have the methods available to MOC researchers; it is timely, therefore, to examine the extent to which the methods that were foundational to the development of MOC are still fit for purpose. Taking stock of MOC's many methodological accomplishments, the thought-provoking chapters comprising this second volume of the New Horizons in Managerial and Organizational Cognition book series set the agenda for the next phase of the field's development.
The rate of failure of IT projects has remained little changed in survey after survey over the past 15-20 years-over 40-50%. This has happened in spite of new technology, innovative methods and tools, and different management methods. Why does this happen? Why can't the situation be better? One reason is that many think of each IT effort as unique. In reality many IT projects are very similar at a high, strategic level. Where they differ is in the people and exact events-the detail. If you read the literature or have been in information systems or IT for some time, you have seen the same reasons for failure and the same problems and issues recur again and again. In this book IT Management experts Ben Lientz and Lee Larssen show you how to identify and track the recurring issues leading to failure in IT projects and provide a proven, modern method for addressing them. By following the recommendations in this books readers can significantly reduce the risk of IT failures and increase the rate of success. Benefits of using this approach: * Issues are identified earlier-giving more time for solution and action. * Issues are resolved more consistently since the approach tracks on their repetition. * You get an early warning of problems in IT work-before the budget or schedule fall apart. * Management tends to have more realistic expectations with an awareness of issues. * Users and managers have greater confidence in IT due to the improved handling of issues. * Since the number of issues tends to stabilize in an organization, the IT organization and management get better at detecting, preventing, and dealing with issues over time-cumulative improvement. * Giving attention to issues make users more realistic in their requests and acts to deter requirement changes and scope creep.
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