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The Effect of Industry 4.0 and Artificial Intelligence on Human Resource Management
Abstract
In today's market conditions, the importance of competition is obvious. Organizations must direct the right resources to the right investment to increase their competitive power and stay in the market. In this respect, the Human Resource Management (HRM) unit has also entered the digitalization phase. The digitalization phase in Human Resources (HR) has made significant progress, particularly in the recruitment process, with the help of Artificial Intelligence (AI). During this phase that creates a loss of value for the organization, searching for candidates among hundreds or even thousands of applications, selecting the most suitable one for the job, and placing the suitable ones in open positions within the institution; As a result of the evaluations made with artificial intelligence technology, it can be carried out without loss of cost and time. Thus, the AI approach ensures that interviews are managed quickly and with less cost in the recruitment process. Furthermore, AI enables the efficient fulfillment of various activities of the HRM unit, such as training, orientation, and career planning. The present study attempts to explain the impact of Industry 4.0 and AI on human resource management processes as a result of a literature review. This study, examined the role of Industry 4.0 and artificial intelligence in human resources management by making a literature review.
Keywords
Kaynakça
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- Aksu, S. G., & Sürgevil, O. (2019). Competencies of the digital age: A view from the framework of employees, human resources specialists and managers. Journal of Business in The Digital Age, 2(2), 54-68.
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- Anayat, S. (2023). Human resources management after Industry 4.0: blending AI and HRM. In strategic human resource management in the hospitality industry: a digitalized economic paradigm. Hershey, PA: IGI Global.
- Arda E. & Küçükkocaoğlu, G. (2021). Stock price predictions using artificial intelligence methods. Journal of Research in Economics, Politics & Finance, (6)2, pp.565-586.
- Batur, C. & Diri, B. (2018). Identifying predictive genes for sequence classification using artificial immune recognition system. Int. J. Sci. Technol. 8(4), pp. 58–66.
- Batur Dinler, Ö. & Aydın, N. (2020). An optimal feature parameter set based on gated recurrent unit recurrent neural networks for speech segment detection. Appl Sci. 10(4),1273,1-23.
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Yapay Zeka
Bölüm
Derleme
Yazarlar
Erken Görünüm Tarihi
20 Ağustos 2023
Yayımlanma Tarihi
25 Aralık 2023
Gönderilme Tarihi
30 Mayıs 2023
Kabul Tarihi
10 Ağustos 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 5 Sayı: 2
APA
Bulut, A., & Batur Dinler, Ö. (2023). The Effect of Industry 4.0 and Artificial Intelligence on Human Resource Management. Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi, 5(2), 143-166. https://doi.org/10.47898/ijeased.1306881
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