Mapping Digital Talent Based on Competency using Social Network Analysis

Indonesia is ranked 56th in the Digital Competitiveness Ranking; the survey considers various factors: knowledge, technology, and future-readiness of digital expertise. One entity expected to meet the needs of digital expertise to serve future readiness in digital competitiveness is the government. One way to explore digital expertise in Indonesia is by identifying top talents from data owned by a regional public service. We identify top talents with sufficient digital competence using interviews and questionnaires as media for collecting data between employees using Social Network Analysis (SNA) methodology. This study identifies and maps the best digital talents based on their digital competencies measured by network centrality. The result shows the SNA model represents a digital talent mapping network as a recommendation for the government to improve their digital talents competency, thus developing overall organization performance. The contributions of this study are first to show the best 10 actors as digital expertise at the organization with the accumulation of digital competencies values in these actors. Second, it provides new insight into the talent mapping method, especially in human resources, to increase the potential of digital talent in a regional public service from the results of the centrality measurement.