KNOWLEDGE BASED EMPLOYMENT PROCESS – DATA DRIVEN RECRUITMENT
KNOWLEDGE BASED EMPLOYMENT PROCESS – DATA DRIVEN RECRUITMENT
Author(s): Jelena Vemić Đurković, Ivica Nikolić, Slavica Siljanoska
Subject(s): Human Resources in Economy, ICT Information and Communications Technologies
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Recruitment; Metrics; Data; Recruitment funnel; Human resource management.
Summary/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.
Book: ERAZ 2020 / 6 - Knowledge-Based Sustainable Development - CONFERENCE PROCEEDINGS
- Page Range: 207-215
- Page Count: 9
- Publication Year: 2020
- Language: English
- Content File-PDF