Transforming HR and Improving Talent Profiling with Qualitative Analysis Digitalization on Candidates for Career and Team Development Efforts
Vatousios, Antonis; Happonen, Ari (2022)
Post-print / Final draft
Vatousios, Antonis
Happonen, Ari
2022
1149-1166
Springer, Cham
School of Engineering Science
Kaikki oikeudet pidätetään.
©Springer
©Springer
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202401304857
https://urn.fi/URN:NBN:fi-fe202401304857
Tiivistelmä
The digital transformation of HR is the new normal in the enterprise business world, in quantitative analysis side, but the decision making will remain qualitative for the long unforeseen future. We present digital qualitative methods for talent profiling in order to understand each team member’s mindset, by utilizing brainstorming type questionnaire data. As a result of the study, a stand-alone solution is being developed which improves HR operations and talent profiling for individuals and organizations. Furthermore, this abductive approach indicates that this open-ended conceptual framework returns a promising qualitative analysis. The research work addresses the issues of the subjective nature of human resources with an open-ended approach which sharpens our decision-making without excluding it.
Lähdeviite
Vatousios, A., Happonen, A. (2022). Transforming HR and Improving Talent Profiling with Qualitative Analysis Digitalization on Candidates for Career and Team Development Efforts. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_78
Kokoelmat
- Tieteelliset julkaisut [1534]