Research on the Application of MA Algorithm in the Optimization of Human Resource Allocation in Enterprises

[1] Dai, W., Hu, Y., Zhu, Z., & Liao, X. (2021). Human resource petri net allocation model based on artificial intelligence and neural network. Mobile Information Systems. Search in Google Scholar

[2] Yang, X., & Li, X. (2019). Evaluation research on optimization efficiency of human resource allocation in marine insurance industry based on malmquist index model. Journal of Coastal Research, 94, 677 - 681. Search in Google Scholar

[3] Jin, G. (2019). Management of the designe process : human resource allocation in factory of the future. INSIGHT, 22. Search in Google Scholar

[4] Arias, Michael, Munoz-Gama, Jorge, Sepulveda, & Marcos, et al. (2018). Human resource allocation or recommendation based on multi-factor criteria in on-demand and batch scenarios. European Journal of Industrial Engineering. Search in Google Scholar

[5] Adamovic, M. (2018). An employee-focused human resource management perspective for the management of global virtual teams. The international journal of human resource management, 29(13a14). Search in Google Scholar

[6] Wang, L. (2019). Research on human resource performance and decision-making evaluation based on fuzzy mathematics and clustering model. Journal of Intelligent & Fuzzy Systems, 1-14. Search in Google Scholar

[7] A, A. K., Josune Sáenz b, & B, N. A. (2017). Knowledge-based human resource management practices, intellectual capital and innovation. Journal of Business Research, 81, 11-20. Search in Google Scholar

[8] Lin, X., & Shi, J. (2021). 25-year cycle evolution theory: relationship between german economic development mode and human resource management innovation after world war ii. International Journal of Technology Management, 86(2/3/4), 92-. Search in Google Scholar

[9] Haneda, S., & Ito, K. (2017). Organizational and human resource management and innovation: which management practices are linked to product and/or process innovation?. Research Policy, 47(1), 194-208. Search in Google Scholar

[10] Amarakoon, U., Weerawardena, J., & Verreynne, M. L. (2018). Learning capabilities, human resource management innovation and competitive advantage. International Journal of Human Resource Management. Search in Google Scholar

[11] Kessler, I., Heron, P., & Spilsbury, K. (2017). Human resource management innovation in health care: the institutionalisation of new support roles. Human Resource Management Journal, 27(2), 228-245. Search in Google Scholar

[12] Shipton, H., Sparrow, P., Budhwar, P., & Brown, A. (2017). Hrm and innovation: looking across levels. Human Resource Management Journal. Search in Google Scholar

[13] Costa, A., Viagas, V. F., & Framinam, J. M. (2020). Solving the hybrid flow shop scheduling problem with limited human resource constraint. Computers & Industrial Engineering, 146(2), 106545. Search in Google Scholar

[14] Djedovic, A., Karabegovic, A., Avdagic, Z., & Omanovic, S. (2018). Innovative approach in modeling business processes with a focus on improving the allocation of human resources. Mathematical Problems in Engineering, 2018, 1-14. Search in Google Scholar

[15] Zhu, H. (2021). Research on human resource recommendation algorithm based on machine learning. Scientific Programming. Search in Google Scholar

[16] Zhang, L., & Yang, W. (2020). Simulation of enterprise human resource scheduling algorithm optimization in the context of smart city. Complexity, 2020. Search in Google Scholar

[17] Wu, Y., Wang, Z., & Wang, S. (2021). Human resource allocation based on fuzzy data mining algorithm. Complexity, 2021(9), 1-11. Search in Google Scholar

[18] Ma, H. (2021). Enterprise human resource management based on big data mining technology of internet of things. Journal of Intelligent and Fuzzy Systems(1), 1-7. Search in Google Scholar

[19] Yan, X., Deng, X., & Sun, S. (2020). Analysis and simulation of the early warning model for human resource management risk based on the bp neural network. Complexity, 2020. Search in Google Scholar

[20] Li, H. (2021). Optimization of the enterprise human resource management information system based on the internet of things. Complexity. Search in Google Scholar

[21] Wang, H. (2022). A novel data cluster algorithm based on linear regression and residual analysis for human resource management. International journal of applied decision sciences. Search in Google Scholar

[22] Zhang, X. (2017). Data mining in human resource management based on fractional order decision tree and support vector machines coupling algorithm. Boletin Tecnico/Technical Bulletin, 55(7), 112-119. Search in Google Scholar