Strategies for Improving Employee Competencies in the Digitalization Era through Training and Human Resource Development
In the digitalization era, organizations face unprecedented challenges in maintaining employee competencies that align with rapid technological advancements. This study explores strategies for enhancing employee skills through tailored training programs and comprehensive human resource development (HRD) initiatives. Employing a qualitative research method, data were collected through in-depth interviews and focus group discussions with HR professionals, managers, and employees from diverse industries. The findings reveal that effective training programs must be aligned with organizational goals and integrated with practical, technology-driven approaches. HRD strategies should emphasize continuous learning, digital literacy, and adaptive skills to prepare employees for evolving roles. Furthermore, fostering a culture of innovation and collaboration was identified as crucial in sustaining competency development. The study underscores the importance of personalized learning pathways, mentoring, and leveraging e-learning platforms to accommodate diverse learning needs. Organizational support in terms of resources, leadership commitment, and performance evaluation frameworks significantly influences the success of competency development initiatives. These insights provide a comprehensive framework for practitioners and policymakers to design and implement effective HR strategies to meet the demands of the digital era. Future research could explore longitudinal impacts of these strategies on employee performance and organizational outcomes.
Authors
- Andi Rustam
- Unna Ria Safitri
- Indah Yuni Astuti
Institutions
- Muhammadiyah University of Makassar (ID)
- Universitas Boyolali (ID)
- Universitas Islam Kadiri (ID)
Publication Details
- Journal
- The journal of academic science.
- Published
- 2024-11-24
- DOI
- https://doi.org/10.59613/bewkpf69
- Citations
- 1
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.67