Resumen
This paper chronicles exploratory research about the use of content analysis to guide the future knowledge management research agenda. The responses of 35 international knowledge management experts answering a question about the future of knowledge management were considered. The interviews, which were created as part of a different project, are freely available online. This secondary data was analyzed using a series of content analysis techniques to determine which elements of Michael Earl?s knowledge management taxonomy were most prevalent. A dictionary of terms reflecting Earl?s taxonomy was created. The top three schools that emerged were the engineering, cartographic and systems schools, all of which belong to the high-order category technocratic. A series of qualitative comments are included to expand on the quantitation results and with a view to stimulating future research.