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Process Model for Knowledge Potential Measurement in SMEs

Process Model for Knowledge Potential Measurement in SMEs

Kerstin Fink
Copyright: © 2011 |Pages: 15
ISBN13: 9781605667096|ISBN10: 1605667099|ISBN13 Softcover: 9781616927882|EISBN13: 9781605667102
DOI: 10.4018/978-1-60566-709-6.ch006
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MLA

Fink, Kerstin. "Process Model for Knowledge Potential Measurement in SMEs." Strategies for Knowledge Management Success: Exploring Organizational Efficacy, edited by Murray E. Jennex and Stefan Smolnik, IGI Global, 2011, pp. 91-105. https://doi.org/10.4018/978-1-60566-709-6.ch006

APA

Fink, K. (2011). Process Model for Knowledge Potential Measurement in SMEs. In M. Jennex & S. Smolnik (Eds.), Strategies for Knowledge Management Success: Exploring Organizational Efficacy (pp. 91-105). IGI Global. https://doi.org/10.4018/978-1-60566-709-6.ch006

Chicago

Fink, Kerstin. "Process Model for Knowledge Potential Measurement in SMEs." In Strategies for Knowledge Management Success: Exploring Organizational Efficacy, edited by Murray E. Jennex and Stefan Smolnik, 91-105. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60566-709-6.ch006

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Abstract

Knowledge measurement is developing into a new research field in the area of knowledge management. To ensure that a company is successful, business, technology, and human elements must be integrated and balanced into a knowledge measurement system. The introduction of a knowledge audit with the objective to uncovering the tacit knowledge in an organization and of identifying the existing management practices is needed. This chapter uses the quantum mechanical thinking as a reference model for the development of a knowledge potential measurement system. This system is influenced by three measurement components: (1) Person-dependent variables, (2) System-dependent variables and (3) knowledge velocity. Based on several case studies conducted in small and medium-sized enterprises, a process model for the implementation of the knowledge potential framework is discussed and introduced. Future research and limitations of the model are discussed in the final part.

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