Evaluation of the Impact of Human Resource Innovation Performance Based on Regression Analysis

DOI

10.2991/978-94-6463-102-9_132How to use a DOI?

Keywords

regression analysis; Enterprise human capital; High-yield background; Human resources; Innovation performance; Evaluation of influence

Abstract

In order to improve the ability of dynamic quantitative evaluation of the impact of human resource innovation performance under the background of high-yield human capital, this paper puts forward an evaluation model of the impact of human resource innovation performance based on regression analysis. Under the traditional modes of human capital investment, such as talent introduction, education and training, the index parameter set which can effectively reflect the influence of enterprise human capital and human resource innovation performance under the background of high returns is constructed. Considering the investment cost and future returns, as well as knowledge updating, experience accumulation, skills and other factors, the statistical sample sequence model of index parameter regression analysis is established. Combined with the statistical big data analysis method, The performance evaluation and characteristic analysis of human resource innovation in the context of high-yield human capital of enterprises are carried out. Through the fuzzy index parameter fusion, the horizontal parameter distribution and equilibrium control model of knowledge and comprehensive ability are adopted, and the quantitative regression analysis model and Markov model are established in the process of impact evaluation. The impact evaluation of human resource innovation performance in the context of high-yield human capital of enterprises is realized by using regression analysis learning method, big data fusion and adaptive optimization method. The empirical analysis results show that the dynamic balance of the impact assessment of human resource innovation performance under the background of high returns of enterprise human capital is good, the convergence of the impact assessment of human resource innovation performance is high, and the confidence level of the assessment results is improved.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuhong Bai
PY  - 2022
DA  - 2022/12/29
TI  - Evaluation of the Impact of Human Resource Innovation Performance Based on Regression Analysis
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1280
EP  - 1291
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_132
DO  - 10.2991/978-94-6463-102-9_132
ID  - Bai2022
ER  -