Jelena Vemić Đurković – Educons University, Faculty of Business Economics, Sremska Kamenica, Vojvode Putnika street no 87, Serbia
Ivica Nikolić – Educons University, Faculty of Business Economics, Sremska Kamenica, Vojvode Putnika street no 87, Serbia
Slavica Siljanoska – Madona Montenegro doo Kotor, Montenegro
DOI: https://doi.org/10.31410/ERAZ.2020.207
6th International Conference – ERAZ 2020 – KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, Online/virtual, May 21, 2020, CONFERENCE PROCEEDINGS
Published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
Conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia
ISSN 2683-5568, ISBN 978-86-80194-33-2, DOI: https://doi.org/10.31410/ERAZ.2020
Abstract
The purpose of this paper is to highlight the main benefits and challenges of using a data-driven
recruiting system in enterprises. The trend of increasing digital presence in all fields requires new
knowledge and skills of employees. Sustainable development of enterprise is increasingly based on human
capital and investment in it. Precisely in these conditions of business, on the one hand, there is increasing
pressure to attract and hire the highest quality employees more efficiently, which implies large investments
in the recruitment processes and on the other hand to justify those investments. The high-quality
data-driven recruitment system provides a way to measure the contribution of recruiting process to the
success, to adequately manage existing recruitment programs, and to justify investments in their further
development. A special part of this paper will be consecrated to the trends and challenges of using data-
driven recruitment in the context of the global crisis of the coronavirus COVID – 19 pandemic.
Key words
Recruitment, Metrics, Data, Recruitment funnel, Human resource management.
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