Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

Will Résumé Data Tell Stories About Job Skills?

Content Analysis of the Russian IT, Internet, and Telecom Industry

Authors
Fengchen Wang1, *, William Attatsitsey1, Natalia Volkova1
1School of Economics and Management, National Research University-Higher School of Economics (HSE University), St. Petersburg, Russia
*Corresponding author. Email: fwang@hse.ru
Corresponding Author
Fengchen Wang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_16How to use a DOI?
Keywords
Content analysis; Job skills; Soft skills; Hard skills; Digital HRM
Abstract

Recruitment has been more streamlined, more convenient, and less time-consuming thanks to the advent of digital technology, which enables employers or recruiters to scan through a bank of job seekers’ résumés on the job site. As a result of the advancement of e-recruiting, which allows job seekers to exhibit their work-related and education-related experiences, ac-accomplishments, interests, and skills, the digital résumé has emerged. It is critical for both employers and employees to find job skills and relevant experience that match the work required for the role. This study employs a data mining-based content analysis approach, providing a deep insight into the job skills possessed by 5466 job applicants in the IT, Internet, and Telecom industry located in St. Petersburg, Russia. The results report those job seekers place significantly more emphasis and attention on hard skills than soft skills. Some of the main soft and hard skills include project management, team management, negotiation skills, analytical skills, presentation skills, git, javascript, SQL, Linux, Java, and HTML. The demand for English as an essential skill in the workplace has gradually increased as job seekers get younger.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_16How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Fengchen Wang
AU  - William Attatsitsey
AU  - Natalia Volkova
PY  - 2022
DA  - 2022/12/27
TI  - Will Résumé Data Tell Stories About Job Skills?
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 145
EP  - 150
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_16
DO  - 10.2991/978-94-6463-064-0_16
ID  - Wang2022
ER  -