Author: Bikas Kumar Sinha
Publisher: Springer Nature
ISBN: 9811613680
Category : Business & Economics
Languages : en
Pages : 280
Book Description
This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.
Strategic Management, Decision Theory, and Decision Science
Author: Bikas Kumar Sinha
Publisher: Springer Nature
ISBN: 9811613680
Category : Business & Economics
Languages : en
Pages : 280
Book Description
This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.
Publisher: Springer Nature
ISBN: 9811613680
Category : Business & Economics
Languages : en
Pages : 280
Book Description
This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.
Decision Making under Deep Uncertainty
Author: Vincent A. W. J. Marchau
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408
Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408
Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Strategic Decision Making
Author: Navneet Bhushan
Publisher: Springer Science & Business Media
ISBN: 1852338644
Category : Business & Economics
Languages : en
Pages : 175
Book Description
Strategic Decision Making provides an effective, formal methodology that provides help with decision making problems, especially strategic ones with high stakes involving human perceptions and judgements. Focusing on applying the AHP to decision-making problems, Strategic Decision Making covers problems in the realms of business, defence and governance. Using case studies drawn from years of experience, the book discusses decision making for real life problems and includes many worked examples and solutions to problems throughout. The reader will gain comprehensive exposure to the extent of assistance that a formal methodology, such as AHP, can provide to the decision maker in evolving decisions in complex and varied domains.
Publisher: Springer Science & Business Media
ISBN: 1852338644
Category : Business & Economics
Languages : en
Pages : 175
Book Description
Strategic Decision Making provides an effective, formal methodology that provides help with decision making problems, especially strategic ones with high stakes involving human perceptions and judgements. Focusing on applying the AHP to decision-making problems, Strategic Decision Making covers problems in the realms of business, defence and governance. Using case studies drawn from years of experience, the book discusses decision making for real life problems and includes many worked examples and solutions to problems throughout. The reader will gain comprehensive exposure to the extent of assistance that a formal methodology, such as AHP, can provide to the decision maker in evolving decisions in complex and varied domains.
Smart Decisions
Author: Thomas N. Martin
Publisher: Springer
ISBN: 1137537000
Category : Business & Economics
Languages : en
Pages : 197
Book Description
Today's world is complex and getting more so each day. Huge multinational corporations, international crisis and fast breaking events require most people to make decisions on a daily basis without the tools to understand the long term impact that today's decision might create. Because most people have never really been trained in how to make important complex decisions most people rely on experience, and 'gut reaction' which is okay for many decisions, but not okay for decision that will have meaningful impact on organizations and individual. Decision makers need to develop the art and science of strategic decision making. Here, Professor Thomas Martin explains the need for decision makers to modify their thinking about how they deal with acquiring and analyzing information in each of the decision-making process steps. This approach requiring thinking modification will lengthen the process, make it more complex, and to some more arduous, but the comprehensiveness of the new thinking approach should lead to improved and more effective decision making. In this book, Dr. Martin presents a thinking modification framework that asserts that in the decision-making process, there are three situational states — a current state, future state, and a transitional state that one must deliberate in finding a solution. For each of these situational states, Martin develops an identical five-step process to determine the best decision to make. The steps of this process include: • Change-Needing Situational Analysis • Challenge Framing & Causal Analysis • Generating Solution Ideas • Choosing a Solution Set • Implementation and Aftermath Planning This book will appeal to decision makers, leaders, and students of management who want a specific framework that details the process behind making strategic, well-informed decisions.
Publisher: Springer
ISBN: 1137537000
Category : Business & Economics
Languages : en
Pages : 197
Book Description
Today's world is complex and getting more so each day. Huge multinational corporations, international crisis and fast breaking events require most people to make decisions on a daily basis without the tools to understand the long term impact that today's decision might create. Because most people have never really been trained in how to make important complex decisions most people rely on experience, and 'gut reaction' which is okay for many decisions, but not okay for decision that will have meaningful impact on organizations and individual. Decision makers need to develop the art and science of strategic decision making. Here, Professor Thomas Martin explains the need for decision makers to modify their thinking about how they deal with acquiring and analyzing information in each of the decision-making process steps. This approach requiring thinking modification will lengthen the process, make it more complex, and to some more arduous, but the comprehensiveness of the new thinking approach should lead to improved and more effective decision making. In this book, Dr. Martin presents a thinking modification framework that asserts that in the decision-making process, there are three situational states — a current state, future state, and a transitional state that one must deliberate in finding a solution. For each of these situational states, Martin develops an identical five-step process to determine the best decision to make. The steps of this process include: • Change-Needing Situational Analysis • Challenge Framing & Causal Analysis • Generating Solution Ideas • Choosing a Solution Set • Implementation and Aftermath Planning This book will appeal to decision makers, leaders, and students of management who want a specific framework that details the process behind making strategic, well-informed decisions.
Strategic Management
Author: A. J. Almaney
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 400
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 400
Book Description
Application of Decision Science in Business and Management
Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
ISBN: 1838800999
Category : Business & Economics
Languages : en
Pages : 247
Book Description
Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. 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 book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
Publisher: BoD – Books on Demand
ISBN: 1838800999
Category : Business & Economics
Languages : en
Pages : 247
Book Description
Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. 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 book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
Decision Sciences
Author: Paul R. Kleindorfer
Publisher: Cambridge University Press
ISBN: 9780521338127
Category : Business & Economics
Languages : en
Pages : 484
Book Description
The long-awaited textbook on the developing field of decision sciences. This book compares different types of decision making and emphasises the link between problem finding and problem solving.
Publisher: Cambridge University Press
ISBN: 9780521338127
Category : Business & Economics
Languages : en
Pages : 484
Book Description
The long-awaited textbook on the developing field of decision sciences. This book compares different types of decision making and emphasises the link between problem finding and problem solving.
Strategic Decisions
Author: Vassilis Papadakis
Publisher: Springer Science & Business Media
ISBN: 1461561957
Category : Business & Economics
Languages : en
Pages : 315
Book Description
Over the past ten years, there has been growing interest in the process of strategic decision-making among both managers and researchers. Strategic decisions are important for five main reasons: They are large-scale, risky and hard to reverse; they are a bridge between deliberate and emerging strategies; they can be a major source of organizational learning; they play an important part in the development of individual managers and they cut accross functions and academic disciplines. Strategic Decisions summarizes the current state of the art in research on strategic decision-making, with chapters prepared by leading strategy researchers. The editors also present implications for current application and proposed directions for future research.
Publisher: Springer Science & Business Media
ISBN: 1461561957
Category : Business & Economics
Languages : en
Pages : 315
Book Description
Over the past ten years, there has been growing interest in the process of strategic decision-making among both managers and researchers. Strategic decisions are important for five main reasons: They are large-scale, risky and hard to reverse; they are a bridge between deliberate and emerging strategies; they can be a major source of organizational learning; they play an important part in the development of individual managers and they cut accross functions and academic disciplines. Strategic Decisions summarizes the current state of the art in research on strategic decision-making, with chapters prepared by leading strategy researchers. The editors also present implications for current application and proposed directions for future research.
Strategic Analytics
Author: Martin Kunc
Publisher: John Wiley & Sons
ISBN: 1118907183
Category : Business & Economics
Languages : en
Pages : 402
Book Description
Defines common ground at the interface of strategy and management science and unites the topics with an original approach vital for strategy students, researchers and managers Strategic Analytics: Integrating Management Science and Strategy combines strategy content with strategy process through the lenses of management science, masterfully defining the common ground that unites both fields. Each chapter starts with the perspective of a certain strategy problem, such as competition, but continues with an explanation of the strategy process using management science tools such as simulation. Facilitating the process of strategic decision making through the lens of management science, the author integrates topics that are usually in conflict for MBAs: strategy and quantitative methods. Strategic Analytics features multiple international real-life case studies and examples, business issues for further research and theory review questions and exercises at the end of each chapter. Strategic Analytics starts by introducing readers to strategic management. It then goes on to cover: managerial capabilities for a complex world; politics, economy, society, technology, and environment; external environments known as exogenous factors (PESTE) and endogenous factors (industry); industry dynamics; industry evolution; competitive advantage; dynamic resource management; organisational design; performance measurement system; the life cycle of organisations from start-ups; maturity for maintaining profitability and growth; and finally, regeneration. Developed from the author's own Strategy Analytics course at Warwick Business School, personal experience as consultant, and in consultation with other leading scholars Uses management science to facilitate the process of strategic decision making Chapters structured with chapter objectives, summaries, short case studies, tables, student exercises, references and management science models Accompanied by a supporting website Aimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.
Publisher: John Wiley & Sons
ISBN: 1118907183
Category : Business & Economics
Languages : en
Pages : 402
Book Description
Defines common ground at the interface of strategy and management science and unites the topics with an original approach vital for strategy students, researchers and managers Strategic Analytics: Integrating Management Science and Strategy combines strategy content with strategy process through the lenses of management science, masterfully defining the common ground that unites both fields. Each chapter starts with the perspective of a certain strategy problem, such as competition, but continues with an explanation of the strategy process using management science tools such as simulation. Facilitating the process of strategic decision making through the lens of management science, the author integrates topics that are usually in conflict for MBAs: strategy and quantitative methods. Strategic Analytics features multiple international real-life case studies and examples, business issues for further research and theory review questions and exercises at the end of each chapter. Strategic Analytics starts by introducing readers to strategic management. It then goes on to cover: managerial capabilities for a complex world; politics, economy, society, technology, and environment; external environments known as exogenous factors (PESTE) and endogenous factors (industry); industry dynamics; industry evolution; competitive advantage; dynamic resource management; organisational design; performance measurement system; the life cycle of organisations from start-ups; maturity for maintaining profitability and growth; and finally, regeneration. Developed from the author's own Strategy Analytics course at Warwick Business School, personal experience as consultant, and in consultation with other leading scholars Uses management science to facilitate the process of strategic decision making Chapters structured with chapter objectives, summaries, short case studies, tables, student exercises, references and management science models Accompanied by a supporting website Aimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.
Management Decision-Making, Big Data and Analytics
Author: Simone Gressel
Publisher: SAGE
ISBN: 1529738288
Category : Business & Economics
Languages : en
Pages : 377
Book Description
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
Publisher: SAGE
ISBN: 1529738288
Category : Business & Economics
Languages : en
Pages : 377
Book Description
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.