Shi Yong, Wang Yuan, Zuo Hongkun
School of Computer Science, Huainan Normal University, Huainan City, Anhui, China.
School of Finance and Mathematics, Huainan Normal University, Huainan City, Anhu, China.
Sci Rep. 2025 Jul 2;15(1):22551. doi: 10.1038/s41598-025-06475-y.
Employee loyalty is a major issue of sustainable human resource management. Small and medium-sized enterprises with high technology content and strong innovation ability are the main body of innovation with great vitality and potential. Employee loyalty is an important factor for the success and development of Technology-based Small and Medium-sized Enterprises (TSMEs). This research starts with the historical evaluation data of employees in Chinese TSMEs to analyze the relevant factors of employee loyalty and the relationship between these factors and employee loyalty. Through several machine learning models and algorithms to predict employee loyalty, the feasibility of machine learning to predict employee loyalty is proved, and the evaluation of talent in TSMEs is supported by decision analysis. This research aims to build an objective and applicable intelligent evaluation model of employee loyalty to support TSMEs to accurately identify, motivate, attract, cultivate and retain outstanding scientific and technological talents. This study contributes to the promotion of sustainable and high-quality management of TSMEs.
员工忠诚度是可持续人力资源管理的一个主要问题。高科技含量和强大创新能力的中小企业是具有巨大活力和潜力的创新主体。员工忠诚度是科技型中小企业（TSMEs）成功与发展的重要因素。本研究从中国科技型中小企业员工的历史评估数据入手，分析员工忠诚度的相关因素以及这些因素与员工忠诚度之间的关系。通过几种机器学习模型和算法来预测员工忠诚度，证明了机器学习预测员工忠诚度的可行性，并通过决策分析为科技型中小企业的人才评估提供支持。本研究旨在构建一个客观适用的员工忠诚度智能评估模型，以支持科技型中小企业准确识别、激励、吸引、培养和留住优秀科技人才。本研究有助于推动科技型中小企业的可持续和高质量管理。
