AI Research Notes

The abstract in this issue of AI Research Notes is part of a PhD thesis submitted to the University of Northumbria (UK). In this process a research study is carried out and an account presented to an examination team. This team will evaluate the rigour of the study, its rationale and conduct. They will also evaluate the extent to which the work contributes to theory. The examination team will therefore look at the practical and the theoretical efficiency of the study. Looking at this abstract, it is clear that the basis of the study was Appreciative Inquiry, and that an argument is being made that this meets the criteria for the award of a doctorate – that it is a sound basis for research design and theoretical development. This recognition validates and strengthens claims that Appreciative Inquiry research is a foundation for academic study.

AI Resources

Our first issue (May 2010) featured two classic, most-used electronic resources, the AI List-serve and AI Commons. This August 2010 issue answers a frequently-asked question at Appreciative Inquiry workshops, presentations and trainings as well as on a list-serve, that is: ‘What’s a good book to learn more about the basics of Appreciative Inquiry?’