Comparative Causal Mapping

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Comparative Causal Mapping

Author : Mauri Laukkanen,Mingde Wang
Publisher : Routledge
Page : 263 pages
File Size : 47,8 Mb
Release : 2016-03-03
Category : Business & Economics
ISBN : 9781317163237

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Comparative Causal Mapping by Mauri Laukkanen,Mingde Wang Pdf

Comparative Causal Mapping: The CMAP3 Method, by Mauri Laukkanen and Mingde Wang, is an introduction to the conceptual backgrounds of causal (cognitive) mapping and to the typical methods in comparative and composite causal mapping, based on either interview or questionnaire primary data or on secondary documentary data. The discussed CCM research is supported by CMAP3, a freely downloadable (www.uef.fi/cmap3) Windows software platform for CCM studies. The book has three parts. The first discusses the theoretical underpinnings and methodological issues in causal mapping including the target phenomena and different interpretations of causal maps/mapping, the motives for using CCM methods and the criteria of method selection. The second part focuses on the technical aspects of using CMAP3 in typical CCM research. The third part presents three CCM study cases: a classical document-based study; a semi-structured interview-based (SIM) study; and a methodological study comparing SIM with an electronically administered structured hybrid CCM approach. In addition to demonstrating CCM practices, they suggest that different methods produce divergent results and are thus not substitutable. The research task should determine which CCM approach is appropriate. The book will appeal to both academic and professional audiences, in particular to doctoral students and experienced researchers looking for new topics and method approaches, but also to practitioners in fields such as management and organization studies, organizational development, public policy and education, and knowledge management.

Comparative Causal Mapping

Author : Mauri Laukkanen,Mingde Wang
Publisher : Routledge
Page : 270 pages
File Size : 52,9 Mb
Release : 2019-12-14
Category : Electronic
ISBN : 0367879654

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Comparative Causal Mapping by Mauri Laukkanen,Mingde Wang Pdf

Comparative Causal Mapping: The CMAP3 Method, by Mauri Laukkanen and Mingde Wang, is an introduction to the conceptual backgrounds of causal (cognitive) mapping and to the typical methods in comparative and composite causal mapping, based on either interview or questionnaire primary data or on secondary documentary data. The discussed CCM research is supported by CMAP3, a freely downloadable (www.uef.fi/cmap3) Windows software platform for CCM studies. The book has three parts. The first discusses the theoretical underpinnings and methodological issues in causal mapping including the target phenomena and different interpretations of causal maps/mapping, the motives for using CCM methods and the criteria of method selection. The second part focuses on the technical aspects of using CMAP3 in typical CCM research. The third part presents three CCM study cases: a classical document-based study; a semi-structured interview-based (SIM) study; and a methodological study comparing SIM with an electronically administered structured hybrid CCM approach. In addition to demonstrating CCM practices, they suggest that different methods produce divergent results and are thus not substitutable. The research task should determine which CCM approach is appropriate. The book will appeal to both academic and professional audiences, in particular to doctoral students and experienced researchers looking for new topics and method approaches, but also to practitioners in fields such as management and organization studies, organizational development, public policy and education, and knowledge management.

Comparative Causal Mapping

Author : Mauri Laukkanen,Mingde Wang
Publisher : Routledge
Page : 270 pages
File Size : 45,5 Mb
Release : 2016-03-03
Category : Business & Economics
ISBN : 9781317163244

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Comparative Causal Mapping by Mauri Laukkanen,Mingde Wang Pdf

Comparative Causal Mapping: The CMAP3 Method, by Mauri Laukkanen and Mingde Wang, is an introduction to the conceptual backgrounds of causal (cognitive) mapping and to the typical methods in comparative and composite causal mapping, based on either interview or questionnaire primary data or on secondary documentary data. The discussed CCM research is supported by CMAP3, a freely downloadable (www.uef.fi/cmap3) Windows software platform for CCM studies. The book has three parts. The first discusses the theoretical underpinnings and methodological issues in causal mapping including the target phenomena and different interpretations of causal maps/mapping, the motives for using CCM methods and the criteria of method selection. The second part focuses on the technical aspects of using CMAP3 in typical CCM research. The third part presents three CCM study cases: a classical document-based study; a semi-structured interview-based (SIM) study; and a methodological study comparing SIM with an electronically administered structured hybrid CCM approach. In addition to demonstrating CCM practices, they suggest that different methods produce divergent results and are thus not substitutable. The research task should determine which CCM approach is appropriate. The book will appeal to both academic and professional audiences, in particular to doctoral students and experienced researchers looking for new topics and method approaches, but also to practitioners in fields such as management and organization studies, organizational development, public policy and education, and knowledge management.

Causal Mapping for Research in Information Technology

Author : V. K. Nakayama,Deborah J. Armstrong
Publisher : IGI Global
Page : 404 pages
File Size : 47,9 Mb
Release : 2005-01-01
Category : Computers
ISBN : 1591403979

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Causal Mapping for Research in Information Technology by V. K. Nakayama,Deborah J. Armstrong Pdf

"The causal mapping method has been used in a variety of research areas. The purpose of this book is to provide an introduction to causal mapping for IS researchers and practitioners, providing them everything they need to use causal mapping for both research and application"--Provided by publisher.

Public Sector Strategy

Author : Mark Crowder,Mohammad Roohanifar,Trevor A. Brown
Publisher : Routledge
Page : 261 pages
File Size : 48,7 Mb
Release : 2022-02-27
Category : Business & Economics
ISBN : 9781000547207

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Public Sector Strategy by Mark Crowder,Mohammad Roohanifar,Trevor A. Brown Pdf

Public Sector Strategy explores how strategic decisions are developed and implemented in the public sector, and examines the psychology underpinning strategic decision-making. Combining knowledge from traditional perspectives with contemporary insights on strategic management, this book considers how managers make their decisions and provides key concepts and practical tools to aid delivery of strategy within highly institutionalised settings. This book provides theoretical grounding, real-life global cases, and practical examples of strategic decisions in an international public-sector context by working through the underpinnings of strategy, the influencing factors of strategic decision-making, strategic implementation, and strategic tools in practice. It should be a core textbook for advanced undergraduate and postgraduate students studying public sector strategy and strategic management more broadly. It will also be of benefit for public sector managers, consultants, and private sector organisations who wish to interact with the public sector.

Methodological Challenges and Advances in Managerial and Organizational Cognition

Author : Robert J. Galavan,Kristian J. Sund,Gerard P. Hodgkinson
Publisher : Emerald Group Publishing
Page : 367 pages
File Size : 55,7 Mb
Release : 2017-12-05
Category : Business & Economics
ISBN : 9781787436770

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Methodological Challenges and Advances in Managerial and Organizational Cognition by Robert J. Galavan,Kristian J. Sund,Gerard P. Hodgkinson Pdf

Managerial and organizational cognition has sustained and gained the interest of researchers for over a quarter of a century. This volume takes stock of the methodological accomplishments of the MOC field in recent years, and it sets the agenda for the next phase of its development.

Mapping Strategic Knowledge

Author : Anne Sigismund Huff,Mark Jenkins
Publisher : SAGE
Page : 321 pages
File Size : 40,7 Mb
Release : 2002-01-31
Category : Business & Economics
ISBN : 9781412933490

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Mapping Strategic Knowledge by Anne Sigismund Huff,Mark Jenkins Pdf

This book outlines a number of different tools for mapping strategic knowledge, and thus making knowledge more accessible. Anne Sigismund Huff and Mark Jenkins have brought leading academics together in this work: - to provide informed analysis and theory - to illustrate the contribution of knowledge mapping to central issues in strategy and organization theory - to consider the contribution of these studies to management practice - to address practical theoretic and methodological limitations of these tools, including several software tools now available to facilitate mapping. Each section of the book provides a table which charts the chapters′ main contents, key findings and implications for knowledge management. An annotated bibliography is provided at the end of the book as a resource for readers who may wish to become more familiar with relevant and existing literature in this area. Mapping Strategic Knowledge is relevant to those interested in knowledge management, primarily academics and consultants in the area of strategic management, but also academics in the area of organization theory.

Managerial and Organizational Cognition

Author : Colin Eden,J-C Spender
Publisher : SAGE Publications Limited
Page : 280 pages
File Size : 41,5 Mb
Release : 1998-06-18
Category : Business & Economics
ISBN : UOM:39015040053848

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Managerial and Organizational Cognition by Colin Eden,J-C Spender Pdf

Interest in the field of managerial and organizational cognition has been intense over the last few years. This book explores and provides an in-depth overview of the latest developments in the area and presents answers to the questions accompanying its growth: Is the field distinctive? How does it extend our understanding of managerial processes? From different disciplinary perspectives and empirical settings, the contributors study patterns of managerial cognition. In particular, the longitudinal approach reflected in the volume contributes to its impact as a grounded, practice-based analysis of cognition in organizations.

Business Models and Modelling

Author : Anonim
Publisher : Emerald Group Publishing
Page : 480 pages
File Size : 53,6 Mb
Release : 2015-11-09
Category : Business & Economics
ISBN : 9781785604621

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Business Models and Modelling by Anonim Pdf

In this volume leading scholars from North America, Europe and Asia come together to explore the topic of business models that takes the demand side (customers and their engagement) seriously. The first part deals with the model dimension of business models. The second part deals with business models and change.

The International Dimension of Entrepreneurial Decision-Making

Author : Andrea Caputo,Massimiliano M. Pellegrini,Marina Dabić,Léo-Paul Dana
Publisher : Springer Nature
Page : 236 pages
File Size : 48,6 Mb
Release : 2022-01-03
Category : Business & Economics
ISBN : 9783030859503

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The International Dimension of Entrepreneurial Decision-Making by Andrea Caputo,Massimiliano M. Pellegrini,Marina Dabić,Léo-Paul Dana Pdf

This book focuses on understanding the international behaviours of SMEs, entrepreneurial ventures, and entrepreneurs. The collection of contributions gathered in the book highlights the importance of cultures, contexts and behaviours that pertain to the international entrepreneurship arena. The respective chapters address topics such as entrepreneurial cognition, international entrepreneurial ecosystems, innovation, international market entry decisions, family SMEs, international human resources management, cross-cultural and indigenous entrepreneurship, social capital and sustainability in international markets. All contributions are based on the latest empirical and theoretical research, and provide key findings and concrete recommendations for scholars, entrepreneurs, organizations and policy makers.

Structure of Decision

Author : Robert Axelrod
Publisher : Princeton University Press
Page : 422 pages
File Size : 44,9 Mb
Release : 2015-03-08
Category : Political Science
ISBN : 9781400871957

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Structure of Decision by Robert Axelrod Pdf

This book outlines a new approach to the analysis of decision making based on "cognitive maps." A cognitive map is a graphic representation intended to capture the structure of a decision maker's stated beliefs about a particular problem. Following introductory chapters that develop the theory and techniques of cognitive mapping, a set of five empirical studies applies these new techniques to five policy areas. Originally published in 1976. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Visible Thinking

Author : John M. Bryson,Fran Ackermann,Colin Eden,Charles B. Finn
Publisher : John Wiley & Sons
Page : 396 pages
File Size : 47,8 Mb
Release : 2004-08-20
Category : Business & Economics
ISBN : 9780470869161

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Visible Thinking by John M. Bryson,Fran Ackermann,Colin Eden,Charles B. Finn Pdf

Causal mapping is a tool that enables you to make sense of challenging situations so that you can get more out of them. A causal map is a word and arrow diagram in which ideas and actions are causally linked with one another through the use of arrows. Typically, only specialists such as physical or social scientists and operations researchers know about causal mapping and the tool is therefore not widely known or its broad applicability understood. Until now there has been no guidance available on how to make use of the tool for more general purposes. This book lets managers understand the theory and practice of causal mapping in layman's terms for use in both individual and group settings. It shows managers how to develop and use action-oriented strategy maps and logic models in business decision making. The authors show how causal mapping can be used as a tool to make sense of challenging situations and develop effective business responses.

Statistical Parametric Mapping: The Analysis of Functional Brain Images

Author : William D. Penny,Karl J. Friston,John T. Ashburner,Stefan J. Kiebel,Thomas E. Nichols
Publisher : Elsevier
Page : 689 pages
File Size : 52,9 Mb
Release : 2011-04-28
Category : Psychology
ISBN : 9780080466507

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Statistical Parametric Mapping: The Analysis of Functional Brain Images by William D. Penny,Karl J. Friston,John T. Ashburner,Stefan J. Kiebel,Thomas E. Nichols Pdf

In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. An essential reference and companion for users of the SPM software Provides a complete description of the concepts and procedures entailed by the analysis of brain images Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data Stands as a compendium of all the advances in neuroimaging data analysis over the past decade Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes Structured treatment of data analysis issues that links different modalities and models Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

Elements of Causal Inference

Author : Jonas Peters,Dominik Janzing,Bernhard Scholkopf
Publisher : MIT Press
Page : 289 pages
File Size : 55,7 Mb
Release : 2017-11-29
Category : Computers
ISBN : 9780262037310

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Elements of Causal Inference by Jonas Peters,Dominik Janzing,Bernhard Scholkopf Pdf

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.