Digital technologies in personnel management
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DOI:
https://doi.org/10.31039/ljis.2024.2.226Keywords:
Digitalization, organizational transformation, human resources management, artificial intelligence, big data, machine learning, internet of things, employee engagementAbstract
This paper examines the pivotal role of digital technologies in the transformation of personnel management within contemporary enterprises. As businesses increasingly emphasize efficiency, adaptability, and innovation, digitalization in human resources (HR) management is becoming indispensable. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Big Data, Machine Learning (ML), the Internet of Things (IoT), and 5G within HR processes stands at the forefront of this transformation, enhancing productivity and fostering sustainable organizational development.
The study focuses on several critical aspects of HR digital transformation including recruitment, employee development, performance evaluation, and engagement strategies. It systematically examines the impact of digital technologies on these HR functions and assesses how they contribute to creating a more effective work environment. The research underscores the potential of digital tools to not only streamline HR processes but also to enhance employee satisfaction and organizational efficiency.
Empirical evidence from leading companies that have successfully integrated digital HR solutions suggests significant cost reductions and improved operational efficiency. The paper analyzes these cases to identify the benefits and challenges associated with HR digitalization. It further discusses the implications of these technologies on corporate culture and the overall workforce management.
Ultimately, this article provides a comprehensive overview of the challenges and opportunities presented by HR digitalization. It offers insights into effective strategies for implementing digital transformations in HR processes, based on practical examples from industry leaders. The findings aim to assist organizations in making informed decisions about optimizing their HR operations through digital technologies, thereby enhancing their overall effectiveness and adaptability in the digital era.
References
Analytics Google (2024, May 10). Google. URL: https://marketingplatform.google.com/about/analytics/
Balabanova, O.N., & Balabanov, I.P. (2020). The Use of Digital Technology in Personnel Management (HRM). https://doi.org/10.2991/aebmr.k.200312.402
Bobko, L., Vasylyuk, I., & Boyko, O. (2020). Corporate Social Responsibility as a component of the organization corporate culture. Young Scientist, 4(80). https://doi.org/10.32839/2304-5809/2020-4-80-61
Gavrish, A. A., Dovgan, L. E., Kreidich, I. M., & Semenchenko, N. V. (2017). Personnel management technologies.
Google. (2024, May 27). Siemens Case study, google cloud.
Hlushchenko Larisa, Piliavoz Tetiana & Koval Natalia (2022). Personnel management in the modern structure of enterprise management. Economy and society, (35). DOI: https://doi.org/10.32782/2524-0072/2022-35-41
HR tech predictions: Gen Ai’s journey from use case to ubiquity. action.deloitte.com. (2024, May 10). https://action.deloitte.com/insight/3768/2024-hr-tech-predictions-gen-ais-journey-from-use-case-to-ubiquity
IBM presented its AI platform - watsonx: News: Computer Review. (2023, May 10) https://ko.com.ua/ibm_predstavila_novu_platformu_watsonx_dlya_ai_144069https://ko.com.ua/ibm_predstavila_novu_platformu_watsonx_dlya_ai_144069
Ivanova, V., & Kubitsky, S. (2023). Measures to improve the business career management system at the enterprise. Materials of ICPC conferences, (07.07.2023; Ternopil, Ukraine), 48-52. https://archive.mcnd.org.ua/index.php/conference-proceeding/article/view/651
Jeremie Brecheisen. Research: Where Employees Think Companies’ DEIB Efforts Are Failing (2024, May 10). Harvard Business Review. 2023. URL: https://hbr.org/2023/03/research-where-employees-think-companies-deib-efforts-are-failing?autocomplete=true
Khilukha, O. (2021). The effect of training on employee performance. Scientific Opinion: Economics and Management, (4(74)). https://doi.org/10.32836/2521-666x/2021-74-8 Dzyamulich, & Urban. (2020). 1. Assessment of efficiency of enterprise personnel management in conditions of sustainable development. Economic Sciences. Series “Regional Economy,” 1(17(67)), 82–88. https://doi.org/10.36910/2707-6296-2020-17(67)-9
Kovalenko, A. V. (2021). Digital tools for adapting staff to a hybrid employment format. https://jvestnik-sss.donnu.edu.ua/article/view/11279
Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. https://doi.org/10.1016/j.ijinfomgt.2021.102466
Kurter, H. L. (2019, September 19). How Hilton reduced their time to hire from 43 days down to 5. Forbes. https://www.forbes.com/sites/heidilynnekurter/2019/09/19/how-hilton-reduced-their-time-to-hire-from-43-days-down-to-5/?sh=665be4096759
Martínez-Peláez, R., Ochoa-Brust, A., Rivera, S., Félix, V. G., Ostos, R., Brito, H., Félix, R. A., & Mena, L. J. (2023). Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology. https://doi.org/10.3390/su151411221
Mazurchenko, A., & Maršíková, K. (2019). Digitally-Powered Human Resource Management: Skills and Roles in the Digital Era. Acta Informatica Pragensia, 8(2), 72-87. https://doi: 10.18267/j.aip.125
McCabe, B. (2024, January 8). Top HR trends & predictions in IOT and AI for 2024. LinkedIn. https://www.linkedin.com/pulse/top-hr-trends-predictions-iot-ai-2024-bill-mccabe-une5c
Nasim Ahmed, Andre L. C. Barczak, Teo Susnjak et al. A Comprehensive Performance Analysis of Apache Hadoop and Apache Spark for Large Scale Data Sets Using. Research Square. (2020, August 17). http://dx.doi.org/10.21203/rs.3.rs-43526/v1
Nazarova G. V., Rudenko V. O. (2020). Use of digitalization tools in recruitment of enterprise personnel. Aktualnі problemi upravlіnnya sotsіalno-ekonomіchnimi sistemami : materіali VI mіzhnar. nauk.-prakt. іnternet-konf. (m. Lutsk, December,11, 2020 r.). Lutsk, 2020. S. 246 – 248.
Plekhanov, D., Franke, H., & Netland, T. H. (2022). Digital transformation: A review and research agenda. https://doi.org/10.1016/j.emj.2022.09.007
Rêgo, B. S., Jayantilal, S., Ferreira, J. J., & Carayannis, E. G. (2022). Digital Transformation and Strategic Management: a Systematic Review of the Literature. https://doi.org/10.1007/s13132-021-00853-3
Satisfaction guaranteed: development of customer loyalty online. Coursera. (2024, May 10). https://www.coursera.org/learn/satisfaction-guaranteed-ua
Slobodian, N., Levchenko, Y., & Slobodian, V. (2022). Legal regulation of the implementation of innovative strategies at the Enterprise. Ukrainian Journal of Applied Economics and Technology, 7(3), 114–121. https://doi.org/10.36887/2415-8453-2022-3-16
Soroka, A. (2018). Personnel security providing as a function of personnel management. Socio-Economic Research Bulletin, 0(4(68)), 53–63. https://doi.org/10.33987/vsed.4(68).2018.53-63
The State of Digital Adoption 2024 (2024, May 10). WalkMe. https://www.walkme.com/the-state-of-digital-adoption-2024/
Tsymbalyuk, G. S., & Kravchuk, R. V. (2022). Remuneration as an element of material motivation of employees. Scientific Works of the Interregional Academy of Personnel Management. Economic Sciences, (2 (65)), 54–58. https://doi.org/10.32689/2523-4536/65-6
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