Human capital transformation under the influence of global trends
Anna Grebenyuk et al.
What the paper says
Purpose The article proposes an approach for assessing the impact of global trends on human capital and its components. This study aims to contribute to the development of new approaches for assessing the impact of a set of global trends on human capital and its individual components. Design/methodology/approach A special methodology was developed based on the use of complex indices. The information base for these indices was formed using the results of a Delphi survey of almost 400 leading experts. The proposed approach allows for assessing the impact upon human capital and the groups of various trends. Assessments were made for 48 global trends classified into six groups (Health, Education and Labor, Society and Values, Economy, Policy and Regulation and Ecology and Environment). Findings The results allow us to determine the significance of the influence of individual trends upon human capital and its components and to rank the various trends by their influence on human capital and its components. Practical implications Proposed approach makes it possible to single out the most significant components of human capital in terms of the influence of various global trends upon them. This can be applied for assessing the impact of various trends upon human capital. Originality/value The study contributes to the understanding of influence of global trends on human capital and direction of this influence. Unlike other research studies, which predominantly use quantitative methods to obtain estimates individual global trends in certain aspects of human capital, the suggested approach is based on initially obtaining qualitative estimates, which are further integrated into composite indices.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.