Research on Employee Performance Management Method Based on Big Data Improvement GWO-DELM Algorithms

Authors

  • Zhuyu Wang Hainan Vocational University of Science and Technology, Haikou 571127, Hainan, China
  • Yue Liu Wenzhou Polytechnic image/svg+xml

DOI:

https://doi.org/10.4108/eetsis.4916

Keywords:

human resource performance management evaluation, deep extreme learning machine, grey wolf optimisation algorithm, Levy flight strategy

Abstract

INTRODUCTION: Accurate and objective human resources performance management evaluation methods are conducive to a comprehensive understanding of the real and objective situation of teachers, and are conducive to identifying the management, teaching and academic level of teachers, which enables teacher managers to have a clear understanding of the gaps and problems among teachers.

OBJECTIVES: Aiming at the current human resources performance management evaluation method, there are evaluation indexes exist objectivity is not strong, poor precision, single method and other problems.

METHODS: This research puts forward an intelligent optimisation algorithm based on the improvement of the depth of the limit of the learning machine network of human resources performance management evaluation method. (1) Through the analysis of the problems existing in the current human resources performance management, select the human resources performance management evaluation indexes, and construct the human resources performance management evaluation system; (2) Through the multi-strategy grey wolf optimization algorithm method to improve the deep learning network, and construct the evaluation model of the human resources performance management in colleges; (3) The analysis of simulation experiments verifies the high precision and real-time nature of the proposed method.

RESULTS: The results show that the proposed method improves the precision of the evaluation model, improves the prediction time.

CONCLUSION: This research solves the problems of low precision and non-objective system indicators of human resource performance management evaluation.

References

Sharma, A., Tyagi, D. R., & Verma, D. A. (2022). Review on digitalisation and artificial intelligence in human resource function of energy sector. Water and Energy International.

Yang, S., Chen, W., & Wan, M. P. (2023). A machine-learning-based event-triggered model predictive control for building energy management. Building and Environment.

Ebina, J. M. A., & Joy, M. M. (2022). Managing the most important asset: a twenty year review on the performance management literature. Journal of management history(3), 28.

Fathima, M. H. , & Umarani, C. . (2022). Fairness in human resource management practices and engineers' intention to stay inindian construction firms. Employee Relations: the International Journal.

Li, Y., & Shu, W.. (2022). Wireless network access and emotion recognition of online english translation teaching system from the perspective of artificial intelligence. Wirel. . Commun. Mob. Comput. vol. 2022, 1238932:1-17.

Tian, X. , Pavur, R. , Han, H. , & Zhang, L. (2023). A machine learning-based human resources recruitment system for business process management: using lsa, bert and svm. Business Process Management Journal, 29(1), 202-222.

Berdawd, S. , Taha, A. , & Hadi, H. . (2022). Evaluation of the role of human chorionic gonadotropin therapy in the management of retractile testes in children. Zanco Journal of Medical Sciences.

Liu, H. , Xia, J. , Zou, L. , & Huo, R. . (2022). Comprehensive quantitative evaluation of the water resource carrying capacity in wuhan city based on the "human-water-city" framework: past, present Journal of cleaner production.

Woemmel, A. , & Walkowitz, G. . (2023). Evaluation of human labour in human-robot working environments: empirical evidence. Academy of Management Proceedings.

Andrews, C. , & Patel, S. . (2022). Human resource performance auditing: undertaking a performance evaluation of human resources using audit methodology.

Novo, M. , Feliciana, M. , & Brewster, C. . (2022). Human resource management in small and medium-sized enterprises: a performance model definition. strategic Management.

Madhavkumar, V. (2023). Human resource management practices as determinants of organisational performance. productivity.

Ugoani, J. . (2022). Public personnel administration and human resource management paradigm on public service performance: nigerian pendulum. independent Journal of Management & Production.

Kutieshat, R. , & Farmanesh, P. . (2022). The impact of new human resource management practices on innovation performance during the covid 19 crisis: a new perception on enhancing the educational sector. sustainability, 14.

Almaskari, M. S. N. S. , & Marni, N. . (2020). Human resource management role in improving employees' performance in the united arab emirates' health sector. Journal of Southwest Jiaotong University.

Beuzelin, J. M. , Larissa, P. L. , & Mészáros Anna. (2023). Field evaluation of insecticides for control of picture-winged flies infesting florida sweet corn, 2023. Arthropod Management Tests(1), 1.

Whelan, J. , Almehmadi, A. , & El-Khatib, K. . (2022). Artificial intelligence for intrusion detection systems in unmanned aerial vehicles. Computers & Electrical Engineering, 99, 107784.

Kirkpatrick, I. , & Hoque, K. . (2022). Human resource professionals and the adoption and effectiveness of high-performance work practices. Human Resource Management Journal , 32(2), 261-282.

Xiong, J. , Liang, W. , & Liang, X. . (2022). Intelligent quantification of natural gas pipeline defects using improved sparrow search algorithm and deep extreme learning machine. chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers, 183.

Jiang, W. , Lyu, Y. , Li, Y. , Guo, Y. , & Zhang, W. . (2022). Uav path planning and collision avoidance in 3d environments based on pompd and improved grey wolf optimizer. aerospace science and technology (Feb.), . 121.

Mu, M. X. . (2022). Research on application-oriented undergraduate course construction under the background of industry-education integration--take the performance management course as an example. Taking the performance management course as an example. Frontiers of Educational Research: Chinese-English Edition, 12(1), 53-57.

Baird, K. , Tung, A. , & Ziderman, A. . (2023). Green human resource management: the role of positive levers of control and environmental performance measures in managing performance. International Journal of Manpower, 44(5), 880-899.

Garengo, P. , Sardi, A. , Nudurupati, S. S. , Huatuco, D. L. , & Shaw, D. N. . (2022). Human resource management (hrm) in the performance measurement and management (pmm) domain: a bibliometric review. international journal of productivity and performance management.

Darban, G. , Karatepe, O. M. , & Rezapouraghdam, H. . (2022). Does work engagement mediate the impact of green human resource management on absenteeism and green recovery performance? Employee relations.

Prowse, P. , & Prowse, J. . (2010). Whatever happened to human resource management performance? International Journal of Productivity & Performance Management, volume 59(2), 145-162.

Downloads

Published

02-02-2024

How to Cite

1.
Wang Z, Liu Y. Research on Employee Performance Management Method Based on Big Data Improvement GWO-DELM Algorithms. EAI Endorsed Scal Inf Syst [Internet]. 2024 Feb. 2 [cited 2024 Dec. 4];11(3). Available from: https://publications.eai.eu/index.php/sis/article/view/4916

Funding data