A Model of a Tacit Knowledge Transformation for the Service Department in a Manufacturing Company: A Case Study

Dudek Adam () and Patalas-Maliszewska Justyna ()
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Dudek Adam: University of Applied Science in Nysa, Institute of Computer Science, Poland
Patalas-Maliszewska Justyna: University of Zielona Góra, Institute of Computer Science and Production Management, Zielona Góra, Poland

Foundations of Management, 2016, vol. 8, issue 1, 175-188

Abstract: This article elaborates on the development of a dedicated model of a tacit knowledge transformation for the service department in a manufacturing company. The four main components of the tacit knowledge transformation process are formulated: (1) tacit knowledge source identification, (2) tacit knowledge acquisition, (3) tacit knowledge determination and formalization, and (4) knowledge classification. The proposed model is illustrated by examples on the use of the methods: automatic recognition of speech, natural language processing, and automatic object recognition in the tacit knowledge transformation process in order to obtain a formalized procedure for the service department in a manufacturing company. This is followed by a discussion of the results of the research experiments.

Keywords: case study; tacit knowledge transformation process; automatic recognition of spoken; natural language processing; automatic object recognition; manufacturing company (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:founma:v:8:y:2016:i:1:p:175-188:n:14

DOI: 10.1515/fman-2016-0014

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