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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: June 2024

Volume 9 | Issue 6

Impact factor: 8.15

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Paper Title: The Adoption of Artificial Intelligence (AI) in Human Resources Management (HRM) in Jordanian Organization
Authors Name: Suha S. Khanfar
Unique Id: IJSDR2405011
Published In: Volume 9 Issue 5, May-2024
Abstract: This research investigates the Adoption of Artificial Intelligence (AI) in Human Resources (HR) Management within Jordanian organizations, employing a descriptive analytical approach. A statistical questionnaire was administered to HR professionals in seven organizations and banks in Jordan, generating a reliable dataset with a 74% reliability score. Analysis of demographic data revealed trends in gender, education, age, and experience within the HR field. Examination of AI dimensions (automation, efficiency, and ease of use) and HR dimensions (organizational structure, appointments, recruitment, ethical consideration, and decision-making) unveiled the impact of AI on HR practices. Notably, AI's positive influence on administrative appointments and recruitment processes was evident. Regression analysis affirmed a statistically significant positive impact of AI adoption on HR practices and employee satisfaction, rejecting the null hypothesis. The findings contribute to the understanding of AI's potential in op
Keywords: Artificial Intelligence, Human Resources Management, Jordanian Organizations, Employee Satisfaction, Ethical Considerations in (AI).
Cite Article: "The Adoption of Artificial Intelligence (AI) in Human Resources Management (HRM) in Jordanian Organization", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 5, page no.88 - 93, May-2024, Available :http://www.ijsdr.org/papers/IJSDR2405011.pdf
Downloads: 000342234
Publication Details: Published Paper ID: IJSDR2405011
Registration ID:211178
Published In: Volume 9 Issue 5, May-2024
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.11110985
Page No: 88 - 93
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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