Vojtěch Klézl
Can we design a better advertisement for a SCM job than the AI? An experimental study
Klézl, Vojtěch; Kelly, Stephen; Vašek, Jan; Rezvani, Zeinab; Farashah, Ali
Authors
Abstract
This article aims to contribute to the very current discussion on the Artificial Intelligence (AI)-powered tools in practice by conducting an experiment on overall usability of an AI generated job advertisement compared to a “real” advertisement from a job portal, and an “ideal” job advertisement written by purchasing and supply management experts. The preliminary results are encouraging for the AI – there are no significant differences in job pursuit intention, job appeal, job fit and ad informativeness across the three advertisements, and in fact the AI-generated advertisement performed better in all aspects, albeit not significantly.
Citation
Klézl, V., Kelly, S., Vašek, J., Rezvani, Z., & Farashah, A. (2023, April). Can we design a better advertisement for a SCM job than the AI? An experimental study. Paper presented at 32nd Annual International Purchasing and Supply Education and Research Association Conference, Barcelona
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 32nd Annual International Purchasing and Supply Education and Research Association Conference |
Conference Location | Barcelona |
Start Date | Apr 3, 2023 |
End Date | Apr 5, 2023 |
Deposit Date | Jun 23, 2023 |
Publisher URL | https://ipsera.com/event-4853474 |
You might also like
Contractual opportunism in public procurement practice: the three tests
(2024)
Presentation / Conference
Gender-responsive procurement: a systematic literature review
(2024)
Presentation / Conference
Housebuilding procurement approaches: A systematic literature review
(2024)
Presentation / Conference
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search