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Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
Based on courses developed by the author over several years, this book provides access to a broad area of research that is not available in separate articles or books of readings. Topics covered include the meaning and measurement of risk, general single-period portfolio problems, mean-variance analysis and the Capital Asset Pricing Model, the Arbitrage Pricing Theory, complete markets, multiperiod portfolio problems and the Intertemporal Capital Asset Pricing Model, the Black-Scholes option pricing model and contingent claims analysis, 'risk-neutral' pricing with Martingales, Modigliani-Miller and the capital structure of the firm, interest rates and the term structure, and others.
Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and analytics helps the manager to analyze decision situations, prevent problem situations from arising, identify new opportunities, and often enables many millions of dollars to be added to the bottom line for the organization. The objective of this book is to introduce analytics from the perspective of the general manager of a corporation. Rather than examine the details or attempt an encyclopaedic review of the field, this text emphasizes the strategic role that analytics is playing in globally competitive corporations today. The chapters of this book are organized in two main parts. The first part introduces a problem area and presents some basic analytical concepts that have been successfully used to address the problem area. The objective of this material is to provide the student, the manager of the future, with a general understanding of the tools and techniques used by the analyst.
In real-life scenarios, service management involves complex
decision-making processes usually affected by random or stochastic
variables. Under such uncertain conditions, the development and use
of robust and flexible strategies, algorithms, and methods can
provide the quantitative information necessary to make better
business decisions. Decision Making in Service Industries: A
Practical Approach explores the challenges that must be faced to
provide intelligent strategies for efficient management and
decision making that will increase your organization s
competitiveness and profitability. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.
Computing has become essential for the modeling, analysis, and
optimization of systems. This book is devoted to algorithms,
computational analysis, and decision models. The chapters are
organized in two parts: optimization models of decisions and models
of pricing and equilibria.
Business models are the beating heart of your firm's value proposition. Great business models drive rapid growth; bad business models can doom the most promising ventures. Brilliant Business Models clearly shows you how to create, test, adapt, and innovate successful and appropriate business models in any business context. Every company has a business model. When the business model works, the company creates value. Brilliant Business Models combines the latest research, straightforward tools and current examples to bring this surprisingly tricky topic to life. Straightforward cases from the author's research and experience highlight key lessons. This book applies a novel, life-cycle based approach to make business models relevant to your company's development stage. Your company changes over time-so should your business model. - Understand how and why business models matter to your organisations success - Learn how to evaluate and test business models to identify the most appropriate model - Use the business model life-cycle approach to keep your business model relevant and successful.
Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy. In the Second Edition, Petitti has added new material on cumlative meta-analysis and the exploration of heterogeneity, incorporated recommendations for standardizing the conduct of cost-effectiveness analysis, and updated the rest of the text.
Develop the mindset and presence to successfully manage others for the first time. If you read nothing else on becoming a new manager, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you transition from being an outstanding individual contributor to a great manager of others. This book will inspire you to: * develop your emotional intelligence * influence your colleagues with the science of persuasion * assess your team and enhance its performance * network effectively to achieve business goals and for personal advancement * navigate relationships with employees, bosses, and peers * get support from above * view the big picture in your decision-making * balance your team's work and personal life in a high-intensity workplace
The authors of this book argue that firms succeed or fail in their industries according to the degree that they are able to change what they do to meet changing market decisions. The authors present a framework for managing the process of organizational transformation, and the tools that are necessary to manage that change.
Games, or contexts of strategic interaction, pervade and suffuse our lives and the lives of all organisms. How are we to make sense of and cope with such situations? How should an agent play? When will and when won't cooperation arise and be maintained? Using examples and a careful digestion of the literature, Agents, Games, and Evolution: Strategies at Work and Play addresses these encompassing themes throughout, and is organized into four parts: Part I introduces classical game theory and strategy selection. It compares ideally rational and the "naturalist" approach used by this book, which focuses on how actual agents chose their strategies, and the effects of these strategies on model systems. Part II explores a number of basic games, using models in which agents have fixed strategies. This section draws heavily on the substantial literature associated with the relevant application areas in the social sciences. Part III reviews core results and applications of agent-based models in which strategic interaction is present and for which design issues have genuine practical import. This section draws heavily on the substantial literature associated with the application area to hand. Part IV addresses miscellaneous topics in strategic interaction, including lying in negotiations, reasoning by backward induction, and evolutionary models. Modeled after the authors' Agents, Games, and Evolution course at the University of Pennsylvania, this book keeps mathematics to a minimum, focusing on computational strategies and useful methods for dealing with a variety of situations.
Working through 7 practical steps, you will be able to identify and
reduce your biggest risks so you can get evidence-based confidence to
move forward:
The Really Good Idea Test gives you a step-by-step plan gather evidence, so you can develop and improve your idea. Step 1. My hypothesis is that ... Step 2. I already have evidence that …. Step 3. The most crucial evidence I now need is ... Step 4. To get that evidence I am going to … Step 5. And get the answers to these questions … Step 6. My hypothesis is right if … Step 7. I now know that … Follow the 7 steps to talk to customers, work through the riskiest assumptions and work out if your idea is worth pursuing.
In the last few years, competition has become increasingly more complex, variable and dynamic, as can be seen in phenomena like globalization and technological acceleration. To cope with the dynamism and uncertainty of competition, enterprises need capabilities that enable them to respond to competition, as well as to improve their analytical skills and knowledge in order to better manage new strategic projects. Strategic analysis uses both quantitative and qualitative tools to understand both competitive contexts and available company resources. In Strategic Analysis: Processes and Tools, author Andrea Beretta Zanoni develops a theory of strategic analysis and offers models for the application of strategic analysis tools during all phases of the process including planning and decision-making, the development of control, and the formulation of a strategic diagnosis.
Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques-and some that employ simulation-based intelligent algorithms-to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.
People are happiest and most productive if they can choose what they work on and who they work with. Self-selecting teams give people that choice. Build well-designed and efficient teams to get the most out of your organization, with step-by-step instructions on how to set up teams quickly and efficiently. You'll create a process that works for you, whether you need to form teams from scratch, improve the design of existing teams, or are on the verge of a big team re-shuffle. Discover how New Zealand's biggest e-commerce company completely restructured their business through Self-Selection. In the process, find out how to create high-performing groups by letting people self-organize into small, cross-functional teams. Step-by-step guides, easy-to-follow diagrams, practical examples, checklists, and tools will enable you to run a Self-Selection process within your organization.If you're a manager who wants to structure your organization into small teams, you'll discover why Self-Selection is the fastest and safest way to do so. You'll prepare for and organize a Self-Selection event and make sure your Self-Selection participants and fellow managers are on board and ready.If you're a team member, you'll discover what it feels like to be part of a Self-Selection process and what the consequences are for your daily work. You'll learn how to influence your colleagues and bosses to be open to the idea of Self-Selection. You'll provide your manager with a plan for how to facilitate a Self-Selection event, and with evidence that the system works.If you're feeling the pain and chaos of adding new people to your organization, or just want to ensure that your teams have the right people with the right skills, Self-Selection will help you create the effective teams you need.
This book is comprised of international author perspectives from the 2016 Australian Association for Professional and Applied Ethics (AAPAE) conference, hosted by the University of South Australia in Adelaide. The volume brings to life a number of the conference themes including corporate social responsibility, culture, academic integrity, vulnerability, health, military ethics, education, leadership, sustainability and philosophy and addresses concerns of many leading applied ethicists.
Virtually every organisation today realises the need to change in
order to succeed. Success can only come through good management
which, itself, needs to be driven by leaders. This book illustrates
how a leader can systematically create a business that is better at
satisfying customers, is more effective at using its human
resources and is more rewarding to its owners. The authors achieve
this by:
This book will help business and commercial professionals, who are bombarded with information from which they must draw conclusions to make valid business judgements. Underpinned by research and methodology, but carefully and wittily written to avoid the subject falling into the trap of being dull, this book offers a very accessible way for business people to understand their current deciphering processes and to find new ways of interpreting information to make better judgements.
This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners.
Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances by scientific leaders in the relatively new area of macrocognition into a format that will support immediate use by members of the software testing and evaluation community for large-scale systems as well as trainers of real-world teams. Macrocognition is defined as how activity in real-world teams is adapted to the complex demands of a setting with high consequences for failure. The primary distinction between macrocognition and prior research is that the primary unit for measurement is a real-world team coordinating their activity, rather than individuals processing information, the predominant model for cognition for decades. This book provides an overview of the theoretical foundations of macrocognition, describes a set of exciting new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams.
Today there are more technology, technologists, knowledge and experts than at any time in human history; but from a global perspective, it is difficult to argue that this accumulation of knowledge and technology has put the world in an unambiguously better position than it was in the past. Business is not getting any easier to do and major corporate collapses based on poor decisions, poor conduct, and poor judgement continue to occur. In public administration too, basic institutions and services (education, health, transport) seem to be continually undergoing "crises" of inadequate delivery and excessive pressure. Wisdom and Management in the Knowledge Economy explains why unwise managerial practice can happen in a world characterized by an excess of information and knowledge. Drawing on Aristotle's idea of practical wisdom, the book develops a theory of social practice wisdom that addresses important social psychological and sociological dynamics that underpin wise management and organizations. As well as providing a detailed theory of social practice wisdom, this book considers practical issues in organizational communication, behavior, culture, change and knowledge as well as in HRM, leadership, ethics, strategy, international business, business education, and wisdom research. By introducing the notion of social practice wisdom, aspects of social structure, organizational culture, and organizational communication needed for wisdom to flourish are for the first time rendered visible in a way that opens new possibilities for wiser management, wiser organizations, and wisdom research.
From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability.The first book to describe how analytics are changing the business landscape, updated with new information on predictive analytics, AI, and automation.Describes the specific attributes of firms that are analytical competitors and how they use business intelligence and analytics to make better decisions, execute more effectively, and optimize businesses processes.Lays out a five-stage model for becoming an analytical competitor and developing analytical capabilities.Show how companies are applying analytics across the enterprise: from finance and HR, to R&D and manufacturing.Shows how analytics transform relationships between customers and suppliers.Presents the key steps and capabilities for becoming an analytical competitor.Audience:Managers in all functional areas in organizations of all kinds (not strictly IT).Senior leaders who want to build an analytic capability in their organization and drive an enterprise-wide approach to analytics.Consultants.Vendors of analytical solutions and services.
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.
The Oxford Handbook of Organizational Decision Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at the individual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed. Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM. Contributors: Eric Abrahamson, Julia Balogun, Michael L. Barnett, Philippe Baumard, Nicole Bourque, Laure Cabantous, Prithviraj Chattopadhyay, Kevin Daniels, Jerker Denrell, Vinit M. Desai, Giovanni Dosi, Roger L.M. Dunbar, Stephen M. Fiore, Mark A. Fuller, Michael Shayne Gary, Elizabeth George, Jean-Pascal Gond, Paul Goodwin, Terri L. Griffith, Mark P. Healey, Gerard P. Hodgkinson, Gerry Johnson, Michael Johnson-Cramer, Alfred Kieser, Ann Langley, Eleanor T. Lewis, Dan Lovallo, Rebecca Lyons, Peter M. Madsen, A. John Maule, John M. Mezias, Nigel Nicholson, Gregory B. Northcraft, David Oliver, Annie Pye, Karlene H. Roberts, Jacques Rojot, Michael A. Rosen, Isabelle Royer, Eugene Sadler-Smith, Eduardo Salas, Kristyn A. Scott, Zur Shapira, Carolyne Smart, Gerald F. Smith, Emma Soane, Paul R. Sparrow, William H. Starbuck, Matt Statler, Kathleen M. Sutcliffe, Michal Tamuz, Teri Jane Ursacki-Bryant, Ilan Vertinsky, Benedicte Vidaillet, Jane Webster, Karl E. Weick, Benjamin Wellstein, George Wright, Kuo Frank Yu, and David Zweig.
"Brick by Brick" takes you inside the LEGO you've never seen. By
following the teams that are inventing some of the world's
best-loved toys, it spotlights the company's disciplined approach
to harnessing creativity and recounts one of the most remarkable
business transformations in recent memory.
This book provides a detailed examination of the complex negotiation processes surrounding intergovernmental conferences in the European Union. Since the Treaty of Amsterdam (1997) and its ?appendix?, the Treaty of Nice in 2002, any reform of the treaty framework of the European Union seems to be doomed to fail, evidenced by the decline of the Constitutional Treaty and by the current fate of the Lisbon treaty. By presenting an extensive quantitative study of the Intergovernmental Conference of 1996/7 prior to the Treaty of Amsterdam, the authors argue that these negotiations reveal the major challenges of European integration. Drawing on advanced statistical methods, they contend that multi-level negotiations require an appropriate coordination of informal administrative networks and the empowerment of administrative leadership, with these factors significantly shaping the dynamics and outcomes of negotiations. Through these findings, this book lays down the foundation for future evidence-based evaluations of negotiations and implementation studies, and delivers new insights on decision-making within the European Union. European Union Intergovernmental Conferences will be of interest to students and researchers of political science, sociology, administrative science, business and management studies, international law and European law. |
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