Associate Prof. Dr. László Várallyai, PhD (Applied Informatics and Logistics Institute; Agricultural Informatics Department). He works at University of Debrecen, Faculty of Economics and Business, Department of Agricultural Informatics as associate professor. His specialist areas of work are the following: Software developing, Internet-based developing, Database systems. He was taking part in more research projects and has 23 years experience of computer application in agriculture. The most important project is: Support Collaboration Argumentation-based e-Learning in secondary schools, supported by the European Commission, Framework 5 Programme (IST-1999-10664). He was the leader of the web developer group. He was the secretary of the Organizing Committee of the EFITA2003 Conference that was supported by EU. He worked in the projects are the following: NODES Creation of a European network of multimedia resource centres for adult training (Socrates GRUNDTVIG), IMPaQ - Implement Agriculture Qualifications (Leonardo) and 3 TEMPUS projects (with Croatia, Serbia and Montenegro – Modernising Higher Education in EU Neighbours). He is the president of the professional body (Hungarian Association of Agricultural Informatics) from 2017. He is author or co-author of more than 160 publications.
FraiJ, J., & László, V. . (2021). A literature Review: Artificial Intelligence Impact on the Recruitment Process. International Journal of Engineering and Management Sciences, 6(1), 108–119. https://doi.org/10.21791/IJEMS.2021.1.10.
This paper aim is to review the implementation of artificial intelligence (AI) in the Human Resources Management (HRM) recruitment processes. A systematic review was adopted in which academic papers, magazine articles as well as high rated websites with related fields were checked. The findings of this study should contribute to the general understanding of the impact of AI on the HRM recruitment process. It was impossible to track and cover all topics related to the subject. However, the research methodology used seems to be reasonable and acceptable as it covers a good number of articles which are related to the core subject area. The results and findings were almost clear that using AI is advantages in the area of recruitment as technology can serve best in this area. Moreover, time, efforts, and boring daily tasks are transformed to be computerized which makes a good space for humans to focus on more important subjects related to boosting performance and development. Acquiring automation and cognitive insights as well as cognitive engagement in the recruitment process would make it possible for systems to work similarly to the human brain in terms of data analysis and the ability to build an effective systematic engagement to process the data in an unbiased, efficient and fast way.