Details

Uporaba umetne inteligence pri procesu planiranja kadrov
ID Ferjan, Maruša (Author), ID Bernik, Mojca (Author)

.pdfPDF - Presentation file, Download (563,29 KB)
MD5: B63E3B1C78F4EBDB0185234EE19A8686
URLURL - Source URL, Visit https://press.um.si/index.php/ump/catalog/book/1096/chapter/996 This link opens in a new window

Abstract
Prispevek obravnava uporabo umetne inteligence (UI) pri planiranju kadrov. Najprej je predstavljeno področje UI: vrste, delovanje, sistemi UI in strojnega učenja ter njihova uporabnost. Nato je opisan proces planiranja kadrov, razčlenjen v tri faze (analiza stanja, predvidevanje in napovedovanje potreb in povpraševanja po kadrovskih virih in oblikovanje planov) ter tri ravni planiranja (dolgoročno oziroma strateško, srednjeročno oziroma taktično in kratkoročno oziroma operativno) in analiza uporabnosti UI v tem procesu. Ključni doprinos prispevka predstavlja sinteza obstoječih teoretičnih in praktičnih vpogledov v priložnosti uporabe UI pri procesu planiranja kadrov. Izhajajoč iz pregleda literature, integracija naprednih metod planiranja kadrov s pomočjo UI in strojnega učenja izboljša natančnost vpogleda v stanje in potrebe na področju kadrovskih virov, napovedovanja in predvidevanja, omogoča lažje sprejemanje odločitev ter izboljša učinkovitost planiranja kadrov prek avtomatizacije in optimizacije. Prispevek prispeva k razumevanju UI, nadaljnjemu razvoju in implementaciji rešitev, ki jih ponuja, z namenom spodbuditi izboljšave in napredek na področju planiranja kadrov.

Language:Slovenian
Keywords:management kadrovskih virov, planiranje kadrov, umetna inteligenca, strojno učenje
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FU - Faculty of Administration
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:Str. 179-218
PID:20.500.12556/RUL-180113 This link opens in a new window
UDC:005.962:004.8
DOI:10.18690/um.fov.1.2026.8 This link opens in a new window
COBISS.SI-ID:269513219 This link opens in a new window
Copyright:
Licenca Creative Commons je navedena na pristajalni strani članka (glej izvorni URL): To delo je licencirano pod Creative Commons Priznanje avtorstva 4.0 mednarodno licenco. (Datum opombe 3. 3. 2026)
Publication date in RUL:03.03.2026
Views:505
Downloads:173
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a monograph

Title:Sodobni pristopi v kadrovskem managementu in izobraževanju
Editors:Mojca Bernik
Place of publishing:Maribor
Publisher:Univerza v Mariboru, Univerzitetna založba
Year:2026
ISBN:978-961-299-117-3
COBISS.SI-ID:269091075 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:English
Title:The use of artificial intelligence in human resource planning process
Abstract:
The paper examines the use of artificial intelligence (AI) in human resource (HR) planning. It first introduces the field of AI, including its types, functioning, AI and machine learning systems, and their applicability. The next section describes the HR planning process, divided into three phases (situation analysis, demand prediction and forecasting and formulation of HR plans) and three planning levels (long-term or strategic, medium-term or tactical, and short-term or operational), along with an analysis of AI’s applicability in this process. The key contribution of this paper is the synthesis of existing theoretical and practical insights into AI’s opportunities for using AI in the human resource planning process. . Based on a literature review, integrating advanced HR planning methods with AI and machine learning improves the accuracy of workforce insights and forecasts, enables easier decision-making and enhances HR planning efficiency through automation and optimization. The paper contributes to understanding AI in the context of HR planning, further development and the implementation of AI-driven solutions to foster improvements and advancements in the field.

Keywords:human resource management, workforce planning, artificial intelligence, machine learning

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back