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Authors: Alexander Smirnov 1 ; Nikolay Shilov 1 ; Alexey Kashevnik 1 ; Mikhail Petrov 2 ; 1 ; Simon Brugger 3 and Tefik Ismaili 3

Affiliations: 1 St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg, Russia ; 2 ITMO University, St. Petersburg, Russia ; 3 Festo SE & Co. KG, Esslingen, Germany

Keyword(s): Human Resource, Competencies, Innovations, Innovation Evaluation, Trend, Competence Management.

Abstract: The paper presents an innovation management approach within the human resources (HR) management area. The approach provides possibilities to search and scrape HR trends and the joint global evaluation of those trends by an expert community. We developed a platform that scrapes human resources websites and parses the documents based on pre-defined keywords to support the innovation management approach and to identify the innovations that are applicable to the HR domain. It is based on the analysis of term occurrence frequency change during a period. The evaluations of innovations are done by HR Process Owners and the global HR Expert Community. For project staffing, innovation-specific requirements are matched with employee skill profiles.

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Paper citation in several formats:
Smirnov, A.; Shilov, N.; Kashevnik, A.; Petrov, M.; Brugger, S. and Ismaili, T. (2021). Early-identification of Human Resource Trends and Innovations through Web-scraping Technology. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8; ISSN 2184-4992, pages 642-651. DOI: 10.5220/0010438606420651

@conference{iceis21,
author={Alexander Smirnov. and Nikolay Shilov. and Alexey Kashevnik. and Mikhail Petrov. and Simon Brugger. and Tefik Ismaili.},
title={Early-identification of Human Resource Trends and Innovations through Web-scraping Technology},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={642-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010438606420651},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Early-identification of Human Resource Trends and Innovations through Web-scraping Technology
SN - 978-989-758-509-8
IS - 2184-4992
AU - Smirnov, A.
AU - Shilov, N.
AU - Kashevnik, A.
AU - Petrov, M.
AU - Brugger, S.
AU - Ismaili, T.
PY - 2021
SP - 642
EP - 651
DO - 10.5220/0010438606420651

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