Szczegóły publikacji
Opis bibliograficzny
Cultivating success: a practical exploration of applying artificial intelligence in human resources management / Dagmara LEWICKA, Helena STAROWICZ-RAJCA, Rasti BLBAS, Arkadiusz Wilczewski // Scientific Papers of Silesian University of Technology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2720-751X. Organization & Management ; ISSN 2720-751X. — 2024 — no. 199, s. 333–347. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 343–347, Abstr.
Autorzy (4)
- AGHLewicka Dagmara
- AGHStarowicz-Rajca Helena
- AGHBlbas Rasti
- Wilczewski Arkadiusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 154774 |
|---|---|
| Data dodania do BaDAP | 2024-08-08 |
| Tekst źródłowy | URL |
| DOI | 10.29119/1641-3466.2024.199.26 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Zeszyty Naukowe Politechniki Śląskiej = Scientific Journal of Silesian University of Technology, Organizacja i Zarządzanie = Organization & Management |
Abstract
Purpose: This article explores how utilizing Artificial Intelligence (AI) in managing Human Resources (HR) can offer businesses a significant competitive edge in the market. The integration of AI enables the swift and efficient completion of a majority of HR tasks within a shorter time frame. Streamlining and automating time-consuming processes are crucial for ensuring the long-term sustainability of companies. Design/methodology/approach: Literature review and companies’ documents analysis were done to understand structural and perceptual aspects of AI in HR. Findings: The integration of Artificial Intelligence (AI) in team management is closely linked to Human Resources Management (HRM). AI can enhance HR processes by automating routine tasks, streamlining recruitment processes, analyzing employee performance data, and providing valuable insights for decision-making. This integration allows HR professionals to focus on strategic initiatives, employee development, and creating a more engaging work environment, while AI handles data-driven tasks efficiently. Research limitations/implications: Implementing AI in HRM requires careful consideration of ethical and privacy concerns, as well as ongoing monitoring and adjustment to ensure fair and unbiased outcomes. Practical implications: This paper highlights the key tools and applications which companies integrates into their HR operations. Originality/value: The significance of this paper lies in illustrating the practical insights and strategic direction for organizations endeavoring to seamlessly incorporate AI into their HR operations. It is particularly beneficial for those in search of tangible examples and success narratives in the field of sustainability endeavors.
