Ramadhan, Yudistira
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Tren Pengumpulan Pengetahuan dan Faktor Keberhasilannya: Tinjauan Pustaka Sistematik Ramadhan, Yudistira; Pratiwi, Maharani Eka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i2.1314

Abstract

Knowledge management (KM) is a systematic approach that facilitates the development, dissemination, and creation of value from information and knowledge within an organization. Knowledge management is deemed the most valuable asset for many organizations. However, the implementation of a knowledge capturing model is still a challenging task. In this research, a Systematic Literature Review (SLR) methodology is employed to identify and analyze diverse approaches to capturing and utilizing knowledge in various organizational domains. The search process is executed across five databases, namely, Scopus, Science Direct, Emerald Insight, Taylor & Francis Online, and IEEE. The study findings reveal a total of 24 knowledge capture methods employed across diverse organizational contexts and knowledge types. Among these methods, the questionnaire was mentioned in 4 articles, an interview in 2 articles, and an expert interview in two articles. The success factors were classified into 20 types, including common knowledge, organizational capabilities, quality of knowledge, trust and acceptance, leadership capabilities, feedback and learning, performance measurement, reward and recognition, efficiency, knowledge management integration, organizational culture, knowledge managers tools and techniques, effectiveness, motivation, information technology, and knowledge management process, training, knowledge representation, and collaboration. Additionally, the identified trending methods and eight key success factors that influence implementation of various knowledge capture models add a new understanding of the critical elements for success in knowledge capture initiatives. This review, in accordance with PRISMA guidelines, provides a foundation for future research efforts in knowledge acquisition and systematic literature review.
Knowledge Capture in Agile Organizations: Methods and Strategies for Enhancing Effective and Efficient Process Pratiwi, Maharani Eka; Ramadhan, Yudistira; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1164

Abstract

The competitive landscape of modern organizations relies on efficient knowledge utilization and management, underscoring the crucial role of knowledge capture in effective Knowledge Management (KM). This study explores the relationship between knowledge capture, organizational agility, and employee proficiency within KM, pinpointing critical gaps in understanding the optimal utilization of knowledge capture methods within agile-based setups. By addressing these gaps, the study aims to identify effective knowledge capture methods and propose strategies for their seamless integration into agile organizations. The research investigates five hypotheses, affirming the positive impacts of expert interviews, focus groups, interviews, surveys, and questionnaires on the efficiency and effectiveness of knowledge capture processes in agile contexts. Utilizing a mixed-method approach, this study evaluates qualitative and quantitative data derived from interviews and questionnaires. The results highlight the importance of various knowledge capture methods in augmenting the efficiency and efficacy of the knowledge capture process. Additionally, the study outlines implementation strategies customized for each method's application within agile-based organizations. The objective of this research is to provide practical solutions that narrow the disparity between the potential of knowledge capture and the particular needs of agile setups.