A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00789 |
| _version_ | 1797340667964293120 |
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| author | Ye Chunyan Gou Huan |
| author_facet | Ye Chunyan Gou Huan |
| author_sort | Ye Chunyan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:06:29Z |
| format | Article |
| id | doaj.art-2d3bdcaf21074ee498310a5003b3a793 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:29Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-2d3bdcaf21074ee498310a5003b3a7932024-01-29T08:52:36ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00789A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithmYe Chunyan0Gou Huan11College of Humanities and Society, Yibin Vocational and Technical College, Yibin, Sichuan, 644003, China.2School of Public Administration, Sichuan University, Chengdu, Sichuan, 610000, China.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.https://doi.org/10.2478/amns.2023.2.00789gradient descent algorithmloss functionjoint efficient predictioninformation gainorganizational effectiveness91b44 |
| spellingShingle | Ye Chunyan Gou Huan A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm Applied Mathematics and Nonlinear Sciences gradient descent algorithm loss function joint efficient prediction information gain organizational effectiveness 91b44 |
| title | A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| title_full | A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| title_fullStr | A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| title_full_unstemmed | A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| title_short | A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| title_sort | study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm |
| topic | gradient descent algorithm loss function joint efficient prediction information gain organizational effectiveness 91b44 |
| url | https://doi.org/10.2478/amns.2023.2.00789 |
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