UUM Electronic Theses and Dissertation
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Tacit knowledge for business intelligence framework using cognitive-based approach

Surbakti, Herison (2022) Tacit knowledge for business intelligence framework using cognitive-based approach. Doctoral thesis, Universiti Utara Malaysia.

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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.

Item Type: Thesis (Doctoral)
Supervisor : Ta'a, Azman
Item ID: 10213
Uncontrolled Keywords: Business Intelligence, Knowledge Management, Cognitive-based Approach, Systemic Functional Linguistics, Tacit Knowledge.
Subjects: T Technology > T Technology (General) > T58.6-58.62 Management information systems
H Social Sciences > HF Commerce. > HF5001-6182 Business
Divisions: Awang Had Salleh Graduate School of Arts & Sciences
Date Deposited: 11 Jan 2023 00:34
Last Modified: 11 Jan 2023 00:34
Department: Awang Had Salleh Graduate School of Art & Sciences
Name: Ta'a, Azman
URI: https://etd.uum.edu.my/id/eprint/10213

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