Ulakbilge - Sosyal Bilimler Dergisi
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Cilt 10, Sayı 70  2022/3  (ISSN: 2148-0451, E-ISSN: )
Yasemin BAL, Mert BAL, Ayşe DEMİRHAN, Esin ERTEMSİR

NO Makale Adı
1641814979 BEYOND TRADITIONAL: HOW ARTIFICIAL INTELLIGENCE TRANSFORMS HUMAN RESOURCES MANAGEMENT?

In today's intense competitive environment, the most important power for businesses to gain competitive advantage is to have information and to manage it. The ability to process the data and transform it into information has increased considerably in the last decades. Finding the right data that can provide useful information to the organization can support to make future predictions, determine strategies and take advantage of opportunities. Analyzing this data, identifying the connections and patterns between the data and make decisions in the light of these are seen as the most valuable elements for all organizations today. Today, the HR function is not limited to just historical reporting, and HR professionals actively use data for predictive analytics to understand what might be asked and needed in the future. With the use of artificial intelligence methods in the field of HRM, efficiency and productivity are provided in many functions.The most important benefit that artificial intelligence methods have brought to the field of HRM is that it provides an advantage in terms of time costs and allows processes to be carried out more effectively and objectively. This study will examine the development of artificial intelligence and how it gained importance and found application in the field of HRM. It will be explained in which processes and functions artificial intelligence methods are used in HRM, what value it creates and how it benefits the business. Although there are studies on the use of artificial intelligence in different fields, there are gaps in the literature on studies on its use and benefits, especially in the field of HRM. This study contributes to the literature in closing the gap in this field.

Keywords: Artificial intelligence, human resources management, HR analytics, machine learning, deep learning