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Article

Title

Use of Modern IT Solutions in the HRM Activities: Process Automation and Digital Employer Branding

Authors

[ 1 ] Instytut Zarządzania, Wydział Zarządzania i Dowodzenia, Akademia Sztuki Wojennej | [ P ] employee

Scientific discipline (Law 2.0)

[5.6] Learning about management and quality

Year of publication

2021

Published in

European Research Studies Journal

Journal year: 2021 | Journal volume: vol. XXIV | Journal number: Special Issue 1

Article type

scholarly article

Publication language

english

Keywords
EN
  • Artificial intelligence
  • Processes automation
  • Digital employer branding
  • HRM
  • Activities
PL
  • Budowanie wizerunku pracodawcy
  • Sztuczna inteligencja
  • Zarządzanie talentami
  • Zarządzanie zasobami ludzkimi (HRM)
Abstract

EN Purpose: The aim of the conducted research was to show what kind of solutions based on artificial intelligence are used by modern organizations to automate HRM activities and carry out the so-called digital employer branding. Approach/Methodology/Design: Scientific literature and other reports connected with employer branding and AI were analyzed. Choosing from the group of methods, the author of the article used analysis, synthesis, abstraction, analogy, and comparison. Findings: The research results show that solutions based on AI have found application in onboarding, talent management process or improvement of employee competences. Applicant Tracking Systems, Talent Acquisition Systems and Talent Management Systems as well as chatbots are changing the process of employer branding into digital employer branding. Practical Implications: The results are significant to all kinds of organizations among which there are also public organizations. Implementation of new technologies will not only change the image of the organizations but also will make the HRM activities more objective and easily managed especially while remote work. Originality/Value: The research provides theoretical assumptions and practical answers to encourage further research globally.

Date of online publication

20.03.2021

Pages (from - to)

152 - 170

DOI

10.35808/ersj/2035

URL

https://www.ersj.eu/journal/2035

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

moment of the publication

Points of MNiSW / journal

100