Critical Success Factors in the Development of Folksonomy-Based Knowledge Management Tools

Critical Success Factors in the Development of Folksonomy-Based Knowledge Management Tools

Kenneth Owen, Robert Willis
ISBN13: 9781605663685|ISBN10: 1605663689|EISBN13: 9781605663692
DOI: 10.4018/978-1-60566-368-5.ch045
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MLA

Owen, Kenneth, and Robert Willis. "Critical Success Factors in the Development of Folksonomy-Based Knowledge Management Tools." Handbook of Research on Social Interaction Technologies and Collaboration Software: Concepts and Trends, edited by Tatyana Dumova and Richard Fiordo, IGI Global, 2010, pp. 509-518. https://doi.org/10.4018/978-1-60566-368-5.ch045

APA

Owen, K. & Willis, R. (2010). Critical Success Factors in the Development of Folksonomy-Based Knowledge Management Tools. In T. Dumova & R. Fiordo (Eds.), Handbook of Research on Social Interaction Technologies and Collaboration Software: Concepts and Trends (pp. 509-518). IGI Global. https://doi.org/10.4018/978-1-60566-368-5.ch045

Chicago

Owen, Kenneth, and Robert Willis. "Critical Success Factors in the Development of Folksonomy-Based Knowledge Management Tools." In Handbook of Research on Social Interaction Technologies and Collaboration Software: Concepts and Trends, edited by Tatyana Dumova and Richard Fiordo, 509-518. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-368-5.ch045

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Abstract

This chapter examines three important aspects of folksonomies; common design factors found in folksonomies, developmental patterns of mature folksonomies, and the identification of knowledge consumer behaviors that can act as metrics for the evaluation of a small-scale folksonomy. In identifying desirable design elements, a comparative examination of tags and objects was made using a study conducted at Lakehead University. From this project, an exemplar of an effective folksonomical data structure was derived. User behavior was examined and categorized to identify behaviors that can be monitored and measured as indicators of user satisfaction. The authors analyze the structures of a folksonomy and synthesize a practical model of an effective folksonomy in the context of knowledge management.

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