Causal Mapping for Research in Information Technology (Hardcover)

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