Research perspective of artificial intelligence and HRM: a bibliometric study

N Kaushal, S Ghalawat - International Journal of Business …, 2023 - inderscienceonline.com
The present research aims to identify the impact of Artificial Intelligence (AI) technologies on
human resources management functions and practices in various organisations. The paper …

Data-Driven Prescriptive Analytics Applications: A Comprehensive Survey

M Moesmann, TB Pedersen - arxiv preprint arxiv:2412.00034, 2024 - arxiv.org
Prescriptive Analytics (PSA), an emerging business analytics field suggesting concrete
options for solving business problems, has seen an increasing amount of interest after more …

Quality of hire: expanding the multi-level fit employee selection using machine learning

S Shet, B Nair - International Journal of Organizational Analysis, 2023 - emerald.com
Purpose Organizational psychologists and human resource management (HRM)
practitioners often have to select the “right fit” candidate by manually scouting data from …

[PDF][PDF] Employee Attrition Prediction using Nested Ensemble Learning Techniques

MS Alshiddy, BN Aljaber - International Journal of …, 2023 - pdfs.semanticscholar.org
In many industries, including the IT industry, rising employee attrition is a major concern.
Hiring a candidate for an unsuitable job because of issues with the employment process can …

Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis

Y Oubelmouh, F Fargon, C De Runz… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Employee attrition is a pervasive problem for many organizations, and reducing it has
become a key goal in the business world. Although there is a substantial body of literature …

A Predictive Model for Engineering Employee Attrition Based on Economic Trends in Federal Government Agencies

J Kamp - 2024 - search.proquest.com
Employee turnover introduces several risks, including loss of knowledge, delayed timelines,
reduced productivity, quality issues, and reduced morale. When team members leave, they …

Techniques to Predict Employee Attrition Using Optimized Levy Fruit Fly Optimization Algorithm

R Preena - 2024 - researchsquare.com
Competent people are a valuable asset for strong businesses. The issue of retaining
competent staff with expertise poses a challenge to business owners. Companies may incur …

[PDF][PDF] Machine Learning Approach for Forecasting Job Appeasement and Employee Corrosion.

MS Swetha, S Mahalakshmi, SK Pushpa, AT Madihalli… - RICE, 2023 - annals-csis.org
Employee turnover imposes costs on the organiza-tion. The quit may also cause significant
and costly disruptions to the production process. The recent increase in the technological …

Le temps, un challenge à prendre en considération dans l'attrition des employés

Y Oubelmouh, F Fargon, C de Runz, A Soulet… - Atelier Gestion et …, 2023 - hal.science
Réduire le taux d'attrition des employés est devenu un objectif majeur au sein des
entreprises. Il existe une grande quantité de travaux sur la prédiction de l'attrition des clients …

敵対的訓練によるドメイン適応を用いた転移学習手法の HR 分野への適用

行武俊秀, 櫻井義尚 - 第 83 回全国大会講演論文集, 2021 - ipsj.ixsq.nii.ac.jp
論文抄録 小数データによる機械学習モデルを, 転移学習を用いて精度向上させる. このとき,
データの特徴量すべてでなく, 一部の特徴量のみで, かつ異なるドメインでも精度向上が見込める …