The Role of Semantic Web Technologies in Improving Knowledge Management Systems
DOI:
https://doi.org/10.47941/ejikm.1751Keywords:
Semantic Web Technologies, Knowledge Management Systems, Collaboration, Governance, User Satisfaction, Innovation, Performance Metrics, Organizational SuccessAbstract
Purpose: The general purpose of this study was to investigate the role of semantic web technologies in improving knowledge management systems.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive's time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to role of semantic web technologies in improving knowledge management systems. Preliminary empirical review revealed that that semantic web technologies significantly enhanced knowledge management systems across diverse industries, facilitating better organization, integration, and retrieval of knowledge resources. Adoption of these technologies addressed key challenges such as information overload and semantic heterogeneity, leading to increased discoverability, interoperability, and reuse of knowledge assets. However, successful implementation required considerations of factors like organizational readiness and user acceptance, necessitating investments in training, support, and change management strategies. Overall, semantic web technologies improved knowledge management practices and enhanced organizational competitiveness in the knowledge-driven economy.
Unique Contribution to Theory, Practice and Policy: The Social Constructionism theory, Cognitive Load and Diffusion of Innovation may be used to anchor future studies on semantic web technologies. The study recommended that organizations invest in semantic web technologies for knowledge management, prioritize user-friendly KMS, foster a culture of collaboration, establish robust governance, and monitor KMS performance. These measures ensured effective knowledge sharing, decision-making, and innovation, enhancing organizational competitiveness and success.
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