This study presents a comprehensive and systematic review of the data mining (DM) techniques used to predict employee turnover in the past decade. A total of 36 relevant peer …
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society. However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …
S Deviprasad, N Madhumithaa, IW Vikas… - Engineering …, 2023 - mdpi.com
Recently, machine learning-based task automation framework have been gaining attention in human resource management of Multi-National Companies (MNCs). Task automation …
A Zirar - Review of Managerial Science, 2023 - Springer
Artificial intelligence (AI) is deemed to increase workers' productivity by enhancing their creative abilities and acting as a general-purpose tool for innovation. While much is known …
A Fenwick, G Molnar, P Frangos - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
The functions of human resource management (HRM) have changed radically in the past 20 years due to market and technological forces, becoming more cross-functional and data …
Purpose This study aims to identify and assess the key ethical challenges associated with integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their …
AM Asfahani - Discover Sustainability, 2024 - Springer
This study elucidates the transformative influence of data integration on talent management in the context of evolving technological paradigms, with a specific focus on sustainable …
C Simón, E Revilla, MJ Sáenz - Journal of Business Research, 2024 - Elsevier
Although the potentialities of artificial intelligence (AI) are motivating its fast integration in organizations, our knowledge on how to capture organizational value out of these …
In real-world classification problems, it is important to build accurate prediction models and provide information that can improve decision-making. Decision-support tools are often …