Knowledge Management Strategies in Remote Work Environments
DOI:
https://doi.org/10.47941/ejikm.2059Keywords:
Technology Integration, Collaborative Culture, Continuous Training, Knowledge Sharing Practices, Flexible KM PoliciesAbstract
Purpose: This study sought to examine knowledge management strategies in remote work environments.
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 knowledge management strategies in remote work environments. Preliminary empirical review of revealed that effective Knowledge Management (KM) strategies in remote work environments required adapting traditional practices to leverage advanced technological tools, foster a culture of trust and collaboration, and provide continuous support and training for employees. It highlighted the pivotal role of technology in maintaining information flow and real-time collaboration, the importance of an organizational culture that encourages knowledge sharing, and the necessity of regular training and support to sustain KM practices. By integrating these elements, organizations could enhance efficiency, innovation, and employee satisfaction in remote work settings.
Unique Contribution to Theory, Practice and Policy: The Social Exchange Theory, Nonaka’s Knowledge Creation Theory and Technology Acceptance Model (TAM) may be used to anchor future studies on knowledge management strategies in remote work environments. The study recommended enhancing technology integration with AI and ML, fostering a collaborative culture, providing continuous training, implementing structured knowledge-sharing practices, enhancing organizational support and resources, and developing flexible KM policies to address the challenges of remote work environments. It contributed to theory by integrating concepts from various KM theories, to practice by offering actionable recommendations for improving KM strategies, and to policy by highlighting the need for adaptable KM policies that balance data security with accessibility and promote continuous learning.Top of Form
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