Design of the Human Resource Optimization Allocation Model Based on Information Integration

Abstract

With the increasingly close integration of information technology and enterprise management, the human resource management (HRM) model is also changing in the direction of information integration. The new information-based human resource management has gradually become a common management model for all industries and enterprises. Information integration of management work achieves integration and resource sharing among HR departments, managers, and employees. Information integration also facilitates the management of big data and the query of information from the upper and lower levels of group companies. This research study focuses on how companies can solve their own problems, integrate valuable human resources, improve management, and face fierce external competition. This study addresses the above issues by targeting and optimizing the core of human resource management with a performance management system using fuzzy evaluation. Encouraging employees to stimulate motivation and autonomy on the basis of the original foundation has enriched the content of HR performance management, making the overall work more widespread, objective, and encouraging sustainable growth of the company. The experiment proves that this resource optimization allocation model has an important role for managers to make human resource management plans, improve the information technology content of management, and improve the information level of management, so as to improve management efficiency and promote enterprise development.

Human resource optimization using linear regression machine learning model: case study SUNAT

“…This study is focused in determine the optimal human resource allocation in the chemical materials control area in Superintendencia Nacional de Aduanas (SUNAT). In the literature review is available many papers related to the importance of human resource allocation, many factors are consider for these aim like, quantity of workers or find a mix of skills that cover the job and the process's requirements [1]- [5]. Also in this literature shows the most using method to choose the optimal resource allocation are statistical methods and machine learning (ML) algorithm [6]- [10].…”