Visible Thinking Unlocking Causal Mapping For Practical Business Results
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Visible Thinking
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.
Causal Mapping for Research in Information Technology
"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.
Comparative Causal Mapping
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.