Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
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This Author published in this journals
All Journal Journal of Social Research Eduvest - Journal of Universal Studies Information Technology Education Journal
Icha Mailinda
Universitas Indonesia
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Neuroscience Social Sciences

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A Systematic Literature Review on Knowledge Retention for Mitigating Knowledge Loss in Startups: Trend, Technologies, and Framework Farzana Hadifa; Mahdi Ali Ghazi Yuana Putra; Dana Indra Sanuse; Sofian Lusa; Icha Mailinda
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.53322

Abstract

Employee turnover is a critical challenge in startups, as valuable knowledge is often lost when employees leave the organization. This loss occurs due to the lack of effective knowledge retention practices, particularly in converting tacit knowledge into explicit knowledge. This study investigated knowledge retention in startup environments through a Systematic Literature Review (SLR) following PRISMA 2020 guidelines, including study identification, selection, data extraction, and synthesis. 21 relevant studies published between 2020 and 2025 were analyzed with Atlas.ti to identify key technologies and domains shaping knowledge retention frameworks. Four major technology groups are identified: Data Analytics & Intelligence Technologies, Cloud-Based Knowledge Management Systems, Knowledge Sharing and Collaboration Platforms, and Knowledge Repositories, in addition, 14 subdomains within the people, process, and technology domains were synthesized into a conceptual framework, highlighting knowledge retention as a socio-technical process. This research contributes by addressing the lack of research on knowledge retention in startup contexts and offers a conceptual foundation to support startups in developing knowledge retention strategies.
Developing a Conceptual Model for Knowledge Capture and Knowledge Sharing in Indonesia’s Higher Education Government Using Soft Systems Methodology Sidig Agung Sutrisno; Mutia Sayyidah; Dana Indra Sensuse; Sofian Lusa; Icha Mailinda; Novi Sofia Fitriasari
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.280

Abstract

Purpose – This study aims to formulate a conceptual framework for knowledge capture and sharing in higher education governance in Indonesia. It addresses persistent challenges, including fragmented information systems, inadequate documentation of tacit knowledge, and the loss of institutional memory due to organizational restructuring and frequent staff turnover. Design/methods/approach – This study employs a qualitative case study approach, with Soft Systems Methodology (SSM) as the primary analytical framework. Data were gathered through semi-structured interviews with five informants purposively selected from a Directorate at the Echelon II level, which refers to a mid-to senior-level managerial unit within the Indonesian government structure. The analysis integrated thematic coding with the stages of SSM, such as rich picture development, CATWOE analysis, PQR formulation, and conceptual model construction, through which knowledge capture and knowledge sharing were identified as the principal themes. Findings – The findings indicate that current knowledge management practices are largely informal, fragmented, and heavily reliant on individuals. Tacit knowledge is rarely documented, while information exchange primarily occurs through personal interactions and meetings. To address these issues, the proposed conceptual model outlines structured processes for capturing, validating, storing, and disseminating knowledge through a centralized repository, supported by appropriate regulatory mechanisms. This approach provides a conceptual foundation for enhancing efficiency, efficacy, and overall effectiveness by reducing reliance on individual memory and ensuring knowledge continuity amid organizational change. Research implications/limitations - This study is limited to a single directorate and a relatively small group of informants, which may constrain the generalizability of the findings. Furthermore, the proposed model has not yet undergone empirical implementation or testing. Originality/value – This research contributes to the field by applying Soft Systems Methodology (SSM) within the complex context of public-sector higher education government. It also puts forward a structured, context-sensitive model that integrates human factors, processes, technological components, and governance mechanism to strengthen institutional knowledge management.
Media Relations Strategy of the Directorate General of PSDKP in Responding Practices and Factors of Knowledge Acquisition and Knowledge Transfer in Digital Media Companies: A Systematic Literature Review Sukma Firdaus Suryahadi; Dana Indra Sensuse; Sofian Lusa; Yordan Yasin; Icha Mailinda
Journal of Social Research Vol. 5 No. 10 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i10.3439

Abstract

Knowledge acquisition (KA) and knowledge transfer (KT) are two central processes in knowledge management that directly shape an organization’s capacity to innovate and sustain performance. Despite growing research interest, the existing literature remains fragmented across various contexts and rarely integrates practices, influencing factors, and the role of information technology into a single synthesis. This paper presents a systematic literature review following the PRISMA 2020 guidelines and the PICOC framework to synthesize 22 studies published between 2021 and 2026 retrieved from five electronic databases: Scopus, ScienceDirect, ACM Digital Library, IEEE Xplore, and Google Scholar. The synthesis is organized around three research questions addressing practices, influencing factors, and the role of information technology. The review finds that KA and KT in digital media companies are conducted through a combination of formal, informal, and technology-supported mechanisms; their effectiveness is influenced by organizational, relational, and individual factors; and information technology fulfills four key roles: knowledge storage and retrieval, communication and collaboration, data analytics, and artificial intelligence (AI)-based systems. The findings indicate that effective KA and KT in this context result from the alignment of mechanisms, organizational conditions, and technological capabilities rather than from any single dimension. This review contributes a structured framework of practices, influencing factors, and information technology roles that supports future research and practical decision-making in digital media organizations.
Co-Authors Dana Indra Sanuse Dana Indra Sensuse Farzana Hadifa Mahdi Ali Ghazi Yuana Putra Mutia Sayyidah Novi Sofia Fitriasari Sidig Agung Sutrisno Sofian Lusa Sofian Lusa Sofian Lusa Sukma Firdaus Suryahadi Yordan Yasin