Impact of Digital Transformation on Talent Management: Developing and Testing KPI-Based Evaluation Models in Innovation-Driven Organizations
- DOI
- 10.2991/978-94-6463-734-2_72How to use a DOI?
- Keywords
- Digital transformation; Talent management; KPI-based evaluation model; Innovation-driven organization; Employee performance; Digital agility
- Abstract
Digital transformation is changing business management and talent evaluation methods, especially for innovative organizations where employee skills are crucial. Traditional evaluation systems, not suited for rapid digital changes, are being replaced by a new framework based on key performance indicators (KPIs). This framework aims to align employee contributions with organizational strategic goals, particularly during innovation and tech disruptions. The paper presents KPI-based models that help measure performance, develop digital agility, and foster a culture of continuous innovation. Results show that KPIs improve the match between individual and organizational goals, offering insights for talent development and organizational resilience strategies in digital transformation.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yue Wang AU - Xingang Liu PY - 2025 DA - 2025/05/27 TI - Impact of Digital Transformation on Talent Management: Developing and Testing KPI-Based Evaluation Models in Innovation-Driven Organizations BT - Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025) PB - Atlantis Press SP - 655 EP - 660 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-734-2_72 DO - 10.2991/978-94-6463-734-2_72 ID - Wang2025 ER -