ITM Web Conf.
Volume 62, 2024International Conference on Exploring Service Science (IESS 2.4)
|Number of page(s)
|Smart HR, Recruitment & Education
|01 February 2024
Smart Recruitment for Workers with Disability: A Systematic Literature Review
1 Department of Business and Economics, University of Naples Parthenope, Naples, Italy
2 Department of Economics, Law, Cybersecurity and Sports Sciences, University of Naples Parthenope, Naples, Italy
3 Department of Economics, Università Telematica Internazionale Uninettuno, Rome, Italy
* Corresponding author: firstname.lastname@example.org
This paper aims to investigate the role and function of digital and smart technologies, including AI applications, within organizations in making them much more inclusive for people with disability (PWD) at the workplace starting from the recruitment process. Specifically, this conceptual study provides an indepth analysis of smart recruitment process for creating work environments much more inclusive and sustainable for PWD. In the last three decades, also because of the COVID-19 pandemic, the digital transformation, largely adopting digital and smart technologies, has significantly, both positively and negatively, affected any field and industry in the private and professional life. Indeed, our ways of working and quality of life have been improved by digital and smart technologies which are able to overcome geographical, physical, and social barriers. Likewise, some negative effects are related to this phenomenon, such as digital divide especially for some categories of people, like those with disabilities or special needs. This conceptual paper provides a systematic literature review; indeed, the phenomenon of smart recruitment is investigated providing an overview regarding its insights, challenges, and future developments. A bibliometric analysis is conducted using WoS and Scopus databases with manual selection through the VOSviewer software.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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