"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: 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.

This volume contains the edited proceedings of the Working Conference on the Transfer and Diffusion of IT for Organizational Resilience, sponsored by the International Federation for Information Processing (IFIP) Working Group 8.6 (Transfer and Diffusion of Information Technology), and held in Galway, Ireland in June of 2006. The material contained in this book represents current thinking on the topic of resilience by academics and leading practitioners.

"This work is a comprehensive, four-volume reference addressing major issues, trends, and areas for advancement in information management research, containing chapters investigating human factors in IT management, as well as IT governance, outsourcing, and diffusion"--Provided by publisher.

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.

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.

This Handbook explores the opportunities and challenges of new technologies for innovating data collection and data analysis in the context of human resource management. Written by some of the world’s leading researchers in their field, it comprehensively explores modern qualitative research methods from good project design, to innovations in data sources and data collection methods and, finally, to best-practice in data analysis.