AI and HR Technologies

No abstract yet.

• TUĞBA KARABOĞA

Purpose The purpose of this article is to examine all the studies carried out within the scope of e-HRM and smart HRM, grouped according to the sub-functions of technical and HRM. The use of technology in HRM has started since the mid-1990s. However, this study focused on the articles published after 2014 in order to…

• TÜLAY YILDIRIM

Purpose The purpose of this article is to examine all the studies carried out within the scope of e-HRM and smart HRM, grouped according to the sub-functions of technical and HRM. The use of technology in HRM has started since the mid-1990s. However, this study focused on the articles published after 2014 in order to…

• EMİNE KAMBUR

No abstract yet.

No abstract yet.

No abstract yet.

• TUNCAY GÜRBÜZ

Abstract Employees are one of the most important resources of a company. The churn of valuable employees significantly affects a company's performance. The design of systems that predict employee churn is critical importance for companies. At this point, machine learning algorithms offer important opportunities for th…

• TUNCAY ÖZCAN

Abstract Employees are one of the most important resources of a company. The churn of valuable employees significantly affects a company's performance. The design of systems that predict employee churn is critical importance for companies. At this point, machine learning algorithms offer important opportunities for th…

• EBRU PEKEL ÖZMEN

No abstract yet.

• ORHAN YABANCI

The adoption of artificial intelligence in human resource management may help businesses and create a keen advantage in the market. With the help of artificial intelligence, most human resource duties can be completed efficiently and in a much shorter timeframe. For the sustainability of companies, it is essential to…

• METİN TURAN

Artificial Intelligence (AI) in a business context is designed to provide organizations with valuable insight into decision-making and planning. Although AI can help managers make decisions, it may pose unprecedented issues, such as datasets and implicit biases built into algorithms. To assist managers with making unb…

Background: Employee turnover poses a multi-faceted challenge to organizations by undermining productivity, morale, and financial stability while rendering recruitment, onboarding, and training investments wasteful. Traditional machine learning approaches often struggle with class imbalance and lack transparency, limi…

• BURAK TAŞCI