Ứng dụng học máy trong phân tích dữ liệu vào quản lý nguồn nhân lực=Applying machine learning in data analytics of human resource management

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Tác giả: Đạt Nguyễn Phát, Nguyễn Văn Hồ, Thái Kim Phụng

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kinh tế và Quản trị kinh doanh, 2024

Mô tả vật lý: tr.96-108

Bộ sưu tập: Metadata

ID: 251788

Thêm vào giỏ

Human Resource Management (HRM) plays a crucial role in achieving organizational success by effectively managing the workforce. Every business success has numerous contributions from employees at all levels. However, this becomes an intense dilemma when they leave, which leads to business delays and lower performance. Therefore, employee retention management plays a vital role, which, if well-controlled can enhance the business performance. This research suggests an employee attrition prediction model as well as reports to have an overall view of IBM’s HR dataset. The authors proposed machine learning models to predict employees who left the company: Logistics Regression, K-nearest Neighbors, Decision Tree, Support Vector Machine, Neural Network, and Random Forest. In addition, dashboard reports are also created to support an executive view for business decision-making. By implementing the proposed models and building dashboards, organizations can make use of valuable output to drive suitable strategic HRM decisions and gain meaningful results for business.Quản lý nguồn nhân lực (Human Resource Management - HRM) đóng vai trò quan trọng trong sự thành công của mỗi doanh nghiệp thông qua việc quản lý hiệu quả lực lượng lao động, từ đó làm nền tảng giúp doanh nghiệp phát triển bền vững. Sự thành công của mỗi doanh nghiệp đều có sự đóng góp của các nhân sự ở mọi cấp bậc. Tuy nhiên, hiện trạng tại một số doanh nghiệp có tỷ lệ nhân viên nghỉ việc nhiều, gây ra những cản trở trong công việc và có thể ảnh hưởng đến hiệu quả kinh doanh. Vì vậy, việc giữ chân nhân sự đóng vai trò quan trọng bởi quản lý tốt sẽ giúp nâng cao hiệu quả hoạt động của doanh nghiệp. Nghiên cứu này xây dựng phân tích dự báo nhân viên nghỉ việc trên tập dữ liệu nhân sự của IBM. Tác giả tiến hành thực nghiệm mô hình máy học để dự báo nhân viên nghỉ việc qua các thuật toán Logistics Regression, K-Nearest Neighbors, Decision Tree, Support Vector Machine, Neural Network và Random Forest để tìm ra mô hình tối ưu. Thông qua kết quả thực nghiệm, các tổ chức có thể sử dụng những kết quả này để xây dựng chiến lược HRM mang lại nhiều ý nghĩa cho doanh nghiệp.

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