Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

459-466


DOI

Article

Relationship Between Enterprise Talent Management and Performance Based on the Structural Equation Model Method


Authors

E Liu Affiliation:
College of Economy and Management, Southwest Forestry University, Kunming 650224, Yunnan, China
, Qing Liu Affiliation:
School of Information Engineering, Yunnan Forestry Technological College, Kunming, 650224, Yunnan, China
, Thomas Bilaliib Udimal Affiliation:
College of Economy and Management, Southwest Forestry University, Kunming 650224, Yunnan, China
, Haiou Zhu Affiliation:
School of Design and Creative Arts, Loughborough University, Leicester, LE11 3TU Leicestershire, UK
and Mohammed Yousif Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain


Abstract

This article uses SPSS19.0 and AMOS21.0 statistical software to explore the relationship between corporate talent management and corporate performance. We use the structural equation model to quantitatively analyze the human resource management factors that affect logistics performance. Research shows that intellectual capital has a significant positive effect on enterprise innovation performance. The value proposition of employee training to customers and good customer service have an overall positive economic effect. Human capital plays a significant role in driving innovation performance only in the more mature stage of enterprise development.


Keywords

Structural equation model, Linear programming, Incentive model, Talent management, Performance relationship, 90C06


Citation

Liu, E., Liu, Q., Udimal, T. B., Zhu, H., & Yousif, M. (2022). Relationship between enterprise talent management and performance based on the structural equation model method. Applied Mathematics and Nonlinear Sciences, 7(2), 459–466. https://doi.org/10.2478/amns.2022.2.00029

Published by: Engineering Journals

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