Inferring causal interpretations of change-readiness using causal-models:a knowledge-based perspective
Other Titles
Communications in Computer and Information Science Book SeriesAbstract
The ability to understand the conditions in which humans make causal judgements continues to arouse debate from cognitive science, philosophy, and even the domain of computer science. While for most organisations, change is a necessary impetus to sustainability, it is difficult to directly infer cause and affect relationships on human readiness without understanding how humans arrive causal inferences during a complex change situation. To explore the causal interpretations of human readiness-for change the research applies the systems thinking approach, utilising causal models to analyse the cause and effect of human readiness. The research contributes to a knowledge-based perspective examining the various factors effecting readiness-feedback, and how readiness-for change knowledge is received, and processed. The paper demonstrates the application of causal models to interpret the role of human readiness through a case study on the infectious outbreak of Clostridium Difficile (C. difficile). Then we propose a theory of readiness-for change through the lenses of Systems Thinking into a Knowledge Based Reasoning Framework.Citation
Patel S, Samara K, Patel D (2011) 'Inferring causal interpretations of change-readiness using causal-models:a knowledge-based perspective', in Gusev M, Mitrevski P (ed(s).). Communications in Computer and Information Science Book Series , ICT Innovations 2010 edn, : Springer, Berlin, Heidelberg pp.27-39.Publisher
Springer, Berlin, HeidelbergAdditional Links
https://link.springer.com/chapter/10.1007/978-3-642-19325-5_4Type
Book chapterLanguage
enISBN
9783642193248ae974a485f413a2113503eed53cd6c53
10.1007/978-3-642-19325-5_4