A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

W Chao, Z Qiu, L Wu, Z Guo, Z Zheng, H Zhu… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The rapidly changing landscape of technology and industries leads to dynamic skill
requirements, making it crucial for employees and employers to anticipate such shifts to …

[HTML][HTML] Integrating platforms through content-based graph representation learning

IM Putrama, P Martinek - … Journal of Information Management Data Insights, 2023 - Elsevier
The advancements in education technology have encouraged businesses to offer a wide
range of educational resources aimed at teaching labor market-related skills. However, the …

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

X Chen, C Qin, C Fang, C Wang, C Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
In a rapidly evolving job market, skill demand forecasting is crucial as it enables
policymakers and businesses to anticipate and adapt to changes, ensuring that workforce …

[PDF][PDF] Determinants of Organizational Citizenship Behavior in the Context of Artificial Intelligence Adoption

TA Sergeevna - 2024 - dspace.spbu.ru
Goal: To explore how the adoption of artificial intelligence influences Organizational
Citizenship Behavior and the definition of talent, and to assess its impact on organizational …

Learning skills adjacency representations for optimized reskilling recommendations

S Gandhi, R Nagesh, S Das - … Conference on Big Data (Big Data …, 2022 - ieeexplore.ieee.org
Today's fast changing workplace necessitates constant reskilling of the workforce at both the
corporate and national level. Current approaches to reskilling depend on manual logic …

Better Skill-based Job Representations, Assessed via Job Transition Data

T Baldwin, W Clarke, MMG De MacEdo… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Learning never stops for successful workers, who must grow their careers while coping with
the changing expectations of employers. Robust job-skill representations can empower …

Generating Synthetic Data for Better Prediction Modeling in Skill Demand Forecasting

V Wolf, F Neubürger, R Lanwehr - 2023 IEEE World Conference …, 2023 - ieeexplore.ieee.org
The changing world of work brings with it massive changes. However, it is largely unclear
what exactly these changes will look like in terms of the skills required. In order to close part …

A systems thinking approach to skills forecasting

S Telukdarie - 2024 - search.proquest.com
There are measurable factors that can predict growth in sectors and industries. One of these
measurable factors is skills. Skills relate to human capital, which is a known contributor to …