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Article
Publication date: 5 June 2007

Keedong Yoo, Euiho Suh and Kyoung‐Yun Kim

The aim of this paper is to suggest a method to redesign business processes from the viewpoint of knowledge flows using a knowledge map.

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Abstract

Purpose

The aim of this paper is to suggest a method to redesign business processes from the viewpoint of knowledge flows using a knowledge map.

Design/methodology/approach

Knowledge flows and business processes cannot be separated because knowledge is inputted and outputted through business processes. Knowledge flows inherit the feature and appearance of corresponding business processes; therefore, one can identify problems within business processes by analyzing corresponding knowledge flows. The methodology is composed of the following sections: knowledge mapping, knowledge profiling, knowledge flow identification, knowledge flow optimization and TO‐BE process visualization.

Findings

This paper provides a methodology for knowledge flow‐based business process redesign and ten guidelines for knowledge flow optimization. The case study demonstrates that the proposed ideas constitute knowledge‐intensified business processes.

Research limitations/implications

A more formal validation method that is based on the statistical analysis must be provided to assert the proposed guidelines for knowledge flow optimization as the truly optimized ones.

Practical implications

This paper's idea provides the practical methodology and guidelines that can be directly applicable to performing business process redesign by introducing a real case.

Originality/value

This paper's ideas not only provide present companies with a practical way to enhance their business process to be more knowledge‐focused, but also promote the current economy to be more knowledge‐intensive.

Details

Journal of Knowledge Management, vol. 11 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 5 June 2007

Rory L. Chase

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Abstract

Details

Journal of Knowledge Management, vol. 11 no. 3
Type: Research Article
ISSN: 1367-3270

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