Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 25, 2023


Pages


DOI

Article

A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm

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Authors

Chunyan Ye Affiliation:
College of Humanities and Society, Yibin Vocational and Technical College, Yibin, Sichuan, 644003, China.
and Huan Gou Affiliation:
School of Public Administration, Sichuan University, Chengdu, Sichuan, 610000, China.


Abstract

Using a gradient descent algorithm, a study on the linkage between strategic human resource management and organizational effectiveness. A logarithmic function with a base of 10 is used to represent the useful value of the fused elements of the association and simplify the expression formula for the usefulness of management. The usefulness of the management approach in achieving organizational effectiveness is measured using the information gain approach. The square of the difference between the predicted and true values is used as the loss function value, and the gradient descent algorithm is combined with the gradient descent algorithm to divide the effective joint data and calculate the solution gradient for all samples. Evaluation indexes such as accuracy and recall test the joint degree effective prediction model. The results show that the usefulness of the joint degree effective prediction model is classified into three degree levels: average [0,0.2), useful [0.2,0.4), and 40% or more as very useful. The team’s organizational commitment results in 50% of employees working hard, and only 5% are unmotivated to work.


Keywords

Gradient descent algorithm, Loss function, Joint efficient prediction, Information gain, Organizational effectiveness, 91B44


Citation

Ye, C. & Gou, H. (2023). A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00789

Published by: Engineering Journals

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