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Optimal Allocation of Human Resources in Gerontological Educational Institutions Based on Temporal Data Model and Its Algorithm Implementation

In: Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)

Author

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  • Meng He

    (The Tourism College of Changchun University)

Abstract

In the age of the knowledge economy, human resources have an increasing influence on enterprises and even economic and social development. Whether an enterprise's structure is reasonable and its activities are effective is not how many highly educated and professional talents the enterprise must have, but if the internal allocation human resources of the enterprise is reasonable, and if the need for the post requirements, personnel capabilities and costs are matched. How to optimise the human resources allocated scientifically to significantly enhance the linkage between competitive advantages of enterprises has aroused widespread concern in academic circles. Scientific and reasonable allocation of human resources can create or maintain the competitive advantage of enterprises. Taking this as the starting point, this paper expounds and analyzes the optimal allocation of human resources and countermeasures. And put forward the optimal allocation model of human resources based on temporal data model. The model is universal, which transforms advanced human resource management concepts into scientific management modes and operation processes, and realizes the integration of human resource management concepts and information technology.

Suggested Citation

  • Meng He, 2024. "Optimal Allocation of Human Resources in Gerontological Educational Institutions Based on Temporal Data Model and Its Algorithm Implementation," Advances in Economics, Business and Management Research, in: Feng-xia Cao & Satya Narayan Singh & Ahmad Jusoh & Deepanjali Mishra (ed.), Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), pages 101-107, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-368-9_14
    DOI: 10.2991/978-94-6463-368-9_14
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