Causal Mapping for Research in Information Technology
Published on 31. December 2004
Book
Hardback
300 pages
978-1-59140-396-8 (ISBN)
Description
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for IS researchers and practitioners and goes further to provide IS researchers and practitioners everything they need to use causal mapping for both research and application.
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 26 mm
Weight
941 gr
ISBN-13
978-1-59140-396-8 (9781591403968)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
V.K. Narayanan is currently the Stubbs Professor of Strategy and Entrepreneurship in Drexel University, Director of the Undergraduate Program in Entrepreneurship in Technology, and Chair of the Academic Council of the Laurence A. Balada Center for Entrepreneurship in Technology. Narayanan holds a bachelor's degree in mechanical engineering from the Indian Institute of Technology, Madras, a post graduate degree in business administration from the Indian Institute of Management, Ahmedabad, and a Ph.D. in business from the Graduate School of Business at the University of Pittsburgh, Pennsylvania. He has authored (or co-authored) over 60 papers, and four books. Deborah J. Armstrong is an assistant professor of Information Systems at the University of Arkansas. She received her Ph.D. in 2001 from the University of Kansas with a concentration in information systems and supporting emphasis in organizational communications. Dr. Armstrong's research interests cover a variety of issues involving the human aspects of technology, change, learning and cognition.
Content
Section I, Causal Mapping: An Overview of Approaches, Chapter 1, Causal Mapping: A Historical Overview, Chapter 2, Causal Mapping: A Discussion and Demonstration, Chapter 3, What Have We Learned From Almost Thirty Years Of Research On Causal Mapping? Methodological Lessons And Choices For The Information Systems And Information Technology Communities, Section II, Advances in Causal Mapping Methods, Chapter 4, Revealing Social Structure from Texts: Meta-Matrix Text Analysis as a Novel Method for Networ Text Analysis, Chapter 5, Belief Function Approach to Evidential Reasoning n Causal Maps, Chapter 6, An Empirical Comparison of Collective Causal Mapping Approaches, Chapter 7, Moving from Causal Mapping to Survey Techniques, Chapter 8, Reflections on the Interview Process in Evocative Settings, Section III, Causal Mapping in IS/IT; Research and Applications, Chapter 9, Using Causal Mapping to Uncover Cognitive Diversity Within a Top Management Team, Chapter 10, Causal Mapping for the Investigation of the Adoption of UML in Information Technology Project Development, Chapter 11, Using Causal Mapping to Support Information Systems Development: Some Considerations, Chapter 12, Strategic Implications of Causal Mapping in Strategy Analysis and Formulation, Chapter 13, Knowledge at Work in Software Development: A Cognitive Approach for Sharing Knowledge and Creating Decision Support for Life-Cycle Selection, Section IV, Potential Directions, Chapter 14, Object-Oriented Approaches to Causal Mapping: A Proposal, Chapter 15, An Outline of Approaches to Analyzing the Behavior of Causal Maps