Innovative Technologies in Personnel Management of Modern Organizations
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i4.4267
Abstract
This paper focuses on the innovative technologies in the personnel management of modern organizations. Firstly, it expounds on the importance of innovative technologies in improving management efficiency and quality. It analyzes how emerging technologies such as artificial intelligence and big data analysis are applied to various personnel management processes, including recruitment, training, and performance evaluation. The advantages brought by these technologies are explored, including precise talent screening, personalized training program development, and objective performance evaluation. At the same time, challenges such as data security and employee resistance during the application process are also studied, and corresponding countermeasures are proposed. The aim is to provide theoretical reference and practical guidance for modern organizations to better utilize innovative technologies to optimize personnel management.
Keywords
Modern Organizations; Personnel Management; Innovative Technologies; Artificial Intelligence; Big Data Analysis
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[3] Darrag, M., Mohamed, A., & Abdel Aziz, H. Investigating recruitment practices and problems of multinational companies (MNCs) operating in Egypt. Education, Business and Society: Contemporary Middle Eastern Issues, 2010;3(2):99–116.
[4] Dawadi, S.Thematic Analysis approach: a Step by Step Guide for ELT Research Practitioners. Journal of NELTA, 2020;25(1-2):62–71.
[5] Delery, J. E., & Roumpi, D. Strategic human resource management, human capital and competitive advantage: Is the field going in circles? Human Resource Management Journal .2017;27(1):1–21.
[6] Grant, M. J., & Booth, A. A Typology of reviews: an Analysis of 14 Review Types and Associated Methodologies. Health Information & Libraries Journal, 2009;26(2):91–108.
[7] Zhang, J. and Chen, Z. Exploring Human Resource Management Digital Transformation in the Digital Age. Journal of the Knowledge Economy,2024;15(1):1482–1498.
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