Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/184602
Authors: 
Dudek, Adam
Patalas-Maliszewska, Justyna
Year of Publication: 
2016
Citation: 
[Journal:] Foundations of Management [ISSN:] 2300-5661 [Volume:] 8 [Year:] 2016 [Issue:] 1 [Pages:] 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.
Subjects: 
case study
tacit knowledge transformation process
automatic recognition of spoken
natural language processing
automatic object recognition
manufacturing company
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/3.0
Document Type: 
Article

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