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The Digital ‘War for Talents’ : A Conceptual Framework of Technology-Driven Factors in Digital Personnel Selection Systems

Title data

Berger, Stephan ; Niesel, Oliver ; Häckel, Björn ; Stahl, Bastian:
The Digital ‘War for Talents’ : A Conceptual Framework of Technology-Driven Factors in Digital Personnel Selection Systems.
2021
Event: International Conference on Information Systems (ICIS 2021) , 12.-15. Dez. 2021 , Austin, USA.
(Conference item: Conference , Paper )

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI DigitalisierungNo information

Abstract in another language

Driven by digitalization and accelerated by the COVID-19 pandemic, the ‘war for talents’ is increasingly shifting towards the digital world, transforming traditional personnel selection systems into information systems. While these digital personnel selection systems (DPSSs) make use of video interviews or gamified assessments to realize benefits in terms of cost-efficiency and sustainability, the use of digital technologies has a significant impact on user behaviors and selection outcomes. Against this backdrop, we present a common, interdisciplinary conceptualization of DPSSs in terms of a framework for technology-driven factors, which we inferred from a systematic literature review. Our interview-based evaluation showed that such an overview is urgently needed in research and practice. Our findings represent a theory for analyzing and add to the descriptive knowledge by providing an information systems lens on personnel selection. With this understanding of technology-driven factors, we provide a profound basis for developing user-centric DPSSs.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Sep 2021 10:38
Last Modified: 14 Sep 2021 10:38
URI: https://eref.uni-bayreuth.de/id/eprint/67023