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Cited by 6Knowledge Management and SharingInformation Architecture and UsabilityIntellectual Capital and Performance Analysis

The DOI matches its Crossref record.

The innovative model for extracting tacit knowledge in organisations

Supanitchaisiri, Minrata, Natakuatoong, Onjaree, Sinthupinyo, Sukree·2020·International Journal of Knowledge Management Studies

Abstract

This research aimed to examine the obstacles of classical practices for extracting tacit knowledge, and to propose a new method of self-extracting tacit knowledge in organisations. This study opted for an exploratory study using the mixed methods research covering both qualitative and quantitative studies. The focus group interview was used to obtain qualitative information from 24 executives and experts in knowledge management, in five organisations. ATLAS.ti was used to analyse focus group data. The quantitative data was gained from a survey of 26 executives and KM experts who participated in the KM seminar. The result from the analysis was then used to develop a model of tacit knowledge extraction. The key finding is that major challenges of extracting tacit knowledge are lack of certainty of corporate policy, lack of motivation, lack of continuity in knowledge management activities, lack of a support system for the learning environment, lack of participation, non-supportive culture and behaviour, lack of preparation for interviewing, discontinuity in interviews during extraction of tacit knowledge, misinterpreted questioning, and inexperienced interviewers has a lack of experience. Web-based applications were the key source for the questions, which were comprised of both primary and secondary questions.

Overview

Integrity signals

Registry

Crossref · 10.1504/ijkms.2020.105074

Cites

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Metadata

Authors
Supanitchaisiri, M., Natakuatoong, O., & Sinthupinyo, S.
Affiliations
Chulalongkorn University (TH)
Venue
International Journal of Knowledge Management Studies
Published
2020
Volume
11
Issue
1
Pages
81
ISSN
  • 1743-8268 (ISSN-L)
  • 1743-8276
OpenAlex
W4234126400
Cited by
6
References
0
Citations by year
2026: 1 · 2025: 1 · 2023: 2 · 2022: 2
FWCI
1.20
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Knowledge Management Studies (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Knowledge Management and Sharing
  • Physical Sciences › Computer Science › Information Systems › Information Architecture and Usability
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Intellectual Capital and Performance Analysis
Keywords
knowledge management, interviewers, organizational culture, learning environment, knowledge management policy, web-based questionnaire

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.