Author
Listed:
- Anber Abraheem Shlash Mohammad
- Suleiman Ibrahim Shelash Mohammad
- Badrea Al Oraini
- Asokan Vasudevan
- Mohammad Faleh Ahmmad Hunitie
Abstract
This study investigates the absence of the application of Artificial Intelligence (AI) in Jordanian recruitment practices. In addition, current trends on "Talent Acquisition" and "Artificial Intelligence" in the Scopus database represent a shortage of research from Jordan, which demonstrates the difference in the utilization of AI in local Small and Medium Enterprises (SMEs) compared to international ones. Hence, this study addresses this gap by evaluating the AI acceptance of Jordanian SMEs in recruitment, emphasizing the technology's relative advantage, complexity, compatibility, cost, and perceived security and privacy. Furthermore, the study intends to determine how the adoption of AI has influenced the financial and operational aspects of the companies. A cross-sectional survey of managers from SMEs in Jordan was designed and implemented through an online survey to collect data. Ultimately, the data was analyzed using Structural Equation Modeling (SEM), where technology readiness was supported as necessary for implementing AI for talent management and its benefits for organizational sustainability.
Suggested Citation
Anber Abraheem Shlash Mohammad & Suleiman Ibrahim Shelash Mohammad & Badrea Al Oraini & Asokan Vasudevan & Mohammad Faleh Ahmmad Hunitie, 2025.
"The role of technological readiness in adopting AI for talent acquisition: Evaluating economic and operational performance,"
International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(2), pages 1235-1245.
Handle:
RePEc:aac:ijirss:v:8:y:2025:i:2:p:1235-1245:id:5426
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aac:ijirss:v:8:y:2025:i:2:p:1235-1245:id:5426. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.