Empirical Analysis of Explicating the Tacit Knowledge Background, Challenges and Experimental findings
Ninni Singh1, Neelu Jyothi Ahuja2

1Ninni Singh School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
2Neelu Jyothi Ahuja, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Manuscript received on 01 August 2019 | Revised Manuscript received on 05 August 2019 | Manuscript published on 30 August 2019 | PP: 4559-4568 | Volume-8 Issue-10, August 2019 | Retrieval Number: J98500881019/19©BEIESP | DOI: 10.35940/ijitee.J9850.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Tacit knowledge is undocumented knowledge, gained by an individual by virtue of his/her experience on an activity. It rests with the individual, is hard to discover, express and articulate. It is a valuable body of knowledge, hence is essential to solicit, gather and explicate, so as to facilitate its percolation to the younger generation. In this paper, characteristics of tacit knowledge, the issues and mechanisms of explicating have been presented. Seismic data interpretation, as a tacit knowledge domain has been identified, issues faced in its explication and process followed in development of explicit knowledge capsule is detailed. In order to infer the tacit knowledge sharing behavior of an individual a large approximate 5000 survey responses from participant base of individuals from IT firms, Educational Institutions, Government Organizations, Research Organization and Students Community were obtained. The validity and reliability of the measure were verified. Exploratory factor analysis and confirmatory factor analysis was conducted on received valid responses. Based on the analysis, the concrete inference was deliberated.
Keywords: E-Learning, Intelligent Tutoring System, Knowledge Management; Knowledge Acquisition,

Scope of the Article: e-governance, e-Commerce, e-business, e-Learning