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.
CITATION STYLE
Girard, J., & Ribière, V. (2016). Mapping the future of KM through Earl’s KM taxonomy lens. Online Journal of Applied Knowledge Management, 4(1), 180–191. https://doi.org/10.36965/ojakm.2016.4(1)180-191
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