Tacit knowledge for business intelligence framework using cognitive-based approach

Tacit knowledge becoming a key issue in business intelligence approach to knowledge systems. Capturing the tacit knowledge is not a straightforward task, since it consists of unstructured data and related to a variety of information that is not always accessible through traditional means. This work...

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Main Author:	Surbakti, Herison
Format:	Thesis
Language:	eng eng
Published:	2022
Subjects:	T58.6-58.62 Management information systems HF5001-6182 Business
Online Access:	https://etd.uum.edu.my/10213/1/s900835_01.pdf https://etd.uum.edu.my/10213/2/s900835_02.pdf
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id	my-uum-etd.10213
record_format	uketd_dc
spelling	my-uum-etd.102132023-01-11T00:34:01Z Tacit knowledge for business intelligence framework using cognitive-based approach 2022 Surbakti, Herison Ta'a, Azman Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Art & Sciences T58.6-58.62 Management information systems HF5001-6182 Business Tacit knowledge becoming a key issue in business intelligence approach to knowledge systems. Capturing the tacit knowledge is not a straightforward task, since it consists of unstructured data and related to a variety of information that is not always accessible through traditional means. This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. The approach is based on the theory of systematic functional linguistics, developed into interview protocols to be asked to tacit knowledge owners. The data transformed into cognitive maps to supply the data warehouse. The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. The problems were then converted into a questionnaire to identify qualities of the problems such as frequency, urgency, severity, and importance. From the questionnaire results, the best tacit knowledge performers were identified. They are respondents who can solve the problems, while the majority of the respondents are unable to solve them. The best performers were then subjected to grammar targeted interview to collect the solutions they made to the problems. The transcription of the interview results is then converted into cognitive maps that visualize the solutions. These cognitive maps are then stored in a data warehouse and ready to collect anytime for analytics purposes. The framework is validated through Power BI and reviewed by seven experts. Its applicability to other domains is justified as long as the domain, e.g., manufacturing, have experienced problems related to technical, managerial, and empirical problems faced by employees at work. This research contributes to the methods of capturing tacit knowledge using a cognitive-based approach, which important to ensure the continuity of business in various domains. 2022 Thesis https://etd.uum.edu.my/10213/ https://etd.uum.edu.my/10213/1/s900835_01.pdf text eng 2024-03-18 staffonly https://etd.uum.edu.my/10213/2/s900835_02.pdf text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ta'a, Azman
topic	T58.6-58.62 Management information systems HF5001-6182 Business
spellingShingle	T58.6-58.62 Management information systems HF5001-6182 Business Surbakti, Herison Tacit knowledge for business intelligence framework using cognitive-based approach
description	Tacit knowledge becoming a key issue in business intelligence approach to knowledge systems. Capturing the tacit knowledge is not a straightforward task, since it consists of unstructured data and related to a variety of information that is not always accessible through traditional means. This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. The approach is based on the theory of systematic functional linguistics, developed into interview protocols to be asked to tacit knowledge owners. The data transformed into cognitive maps to supply the data warehouse. The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. The problems were then converted into a questionnaire to identify qualities of the problems such as frequency, urgency, severity, and importance. From the questionnaire results, the best tacit knowledge performers were identified. They are respondents who can solve the problems, while the majority of the respondents are unable to solve them. The best performers were then subjected to grammar targeted interview to collect the solutions they made to the problems. The transcription of the interview results is then converted into cognitive maps that visualize the solutions. These cognitive maps are then stored in a data warehouse and ready to collect anytime for analytics purposes. The framework is validated through Power BI and reviewed by seven experts. Its applicability to other domains is justified as long as the domain, e.g., manufacturing, have experienced problems related to technical, managerial, and empirical problems faced by employees at work. This research contributes to the methods of capturing tacit knowledge using a cognitive-based approach, which important to ensure the continuity of business in various domains.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Surbakti, Herison
author_facet	Surbakti, Herison
author_sort	Surbakti, Herison
title	Tacit knowledge for business intelligence framework using cognitive-based approach
title_short	Tacit knowledge for business intelligence framework using cognitive-based approach
title_full	Tacit knowledge for business intelligence framework using cognitive-based approach
title_fullStr	Tacit knowledge for business intelligence framework using cognitive-based approach
title_full_unstemmed	Tacit knowledge for business intelligence framework using cognitive-based approach
title_sort	tacit knowledge for business intelligence framework using cognitive-based approach
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2022
url	https://etd.uum.edu.my/10213/1/s900835_01.pdf https://etd.uum.edu.my/10213/2/s900835_02.pdf
_version_	1776103767142301696

Tacit knowledge for business intelligence framework using cognitive-based approach

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