Quantitative versus qualitative approaches to tacit knowledge testing

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Research in knowledge management covering tacit knowledge tends to be descriptive and often makes little use of empiricism. Psychology as another discipline is very empirical and tends to use statistics to process quantitative data. There are alternative approaches to interpreting data that do not rely on reductionist approaches along numerical lines. We do not negate statistics; rather we provide an alternative to statistical processing of empirical tacit knowledge data. Using empirical data, we show how graphical, qualitative data analysis was used to interpret lower level patterns in the data on tacit knowledge enabling more meaningful quantitative data analysis.
Original languageEnglish
Title of host publicationEmerging trends and challenges in technology management
EditorsMehdi Khosrow-Pour
Place of PublicationHershey, Pa.
PublisherIDEA GROUP PUBLISHING
Pages490-493
Number of pages4
ISBN (Print)1599040190
Publication statusPublished - 2006
EventInformation Resources Management Association International Conference - Washington
Duration: 21 May 200624 May 2006

Conference

ConferenceInformation Resources Management Association International Conference
CityWashington
Period21/05/0624/05/06

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Busch, P., Flax, L., & Richards, D. (2006). Quantitative versus qualitative approaches to tacit knowledge testing. In M. Khosrow-Pour (Ed.), Emerging trends and challenges in technology management (pp. 490-493). Hershey, Pa.: IDEA GROUP PUBLISHING.