| Title |
Tacit to explicit knowledge conversion
|
|---|---|
| Published in |
Cognitive Processing, July 2017
|
| DOI | 10.1007/s10339-017-0825-6 |
| Pubmed ID | |
| Authors |
Osvaldo Cairó Battistutti, Dominik Bork |
| Abstract |
The ability to create, use and transfer knowledge may allow the creation or improvement of new products or services. But knowledge is often tacit: It lives in the minds of individuals, and therefore, it is difficult to transfer it to another person by means of the written word or verbal expression. This paper addresses this important problem by introducing a methodology, consisting of a four-step process that facilitates tacit to explicit knowledge conversion. The methodology utilizes conceptual modeling, thus enabling understanding and reasoning through visual knowledge representation. This implies the possibility of understanding concepts and ideas, visualized through conceptual models, without using linguistic or algebraic means. The proposed methodology is conducted in a metamodel-based tool environment whose aim is efficient application and ease of use. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 17% |
| Student > Ph. D. Student | 18 | 14% |
| Researcher | 10 | 8% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 17 | 13% |
| Unknown | 46 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 23 | 17% |
| Computer Science | 14 | 11% |
| Engineering | 13 | 10% |
| Social Sciences | 6 | 5% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 54 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 August 2017.
All research outputs
#20,444,703
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Outputs from Cognitive Processing
#293
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Outputs of similar age
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Outputs of similar age from Cognitive Processing
#5
of 9 outputs
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