Impact of Artificial Intelligence (AI) on HR Functions (HRF): A Mediated Moderated Model
Abstract/Description
Purpose: The prime objective of this research is to study the influence of artificial intelligence on the HR functions; while concurrently examining the mediating role of innovativeness and the moderating role of knowledge sharing.
Methodology: This study employs an empirical research design, utilizing a survey method for data collection. A total number of 184 questionnaires were distributed to the HR professionals of telecom sector located in Islamabad, Pakistan.
Findings: The results revealed the positive affect of artificial intelligence on HR functions. However, the moderating variable of knowledge sharing does not strengthen the relationship between the AI and HR functions. Similarly, the variable of innovativeness has shown insignificant effect and doesn’t mediate the relationship between AI and HR functions.
Originality: This research study contributes on the growing research on artificial intelligence concurrently elucidating the moderating role of knowledge sharing and mediating role of innovativeness.
Limitations: A quantitative research methodology was employed for the data collections and analysis; hence generalizability and application issues may be raised.
Implications: This research contributes to the body of knowledge surrounding human resource management and artificial intelligence by offering novel insights and practical guidelines for HR professionals and academics.
Track
Management
Session Number/Theme
3B: Management
Session Chair
Dr. Nyla Ansari ; Dr. Samina Qasim
Start Date/Time
30-5-2024 5:00 PM
End Date/Time
30-5-2024 6:00 PM
Location
MCS – 4 AMAN CED Building
Recommended Citation
Ali, M., Khan, A. U., Chaudhry, M. G., Omar, S. S., & Mansoor, S. (2024). Impact of Artificial Intelligence (AI) on HR Functions (HRF): A Mediated Moderated Model. 3rd IBA SBS International Conference 2024. Retrieved from https://ir.iba.edu.pk/sbsic/2024/program/35
COinS
Impact of Artificial Intelligence (AI) on HR Functions (HRF): A Mediated Moderated Model
MCS – 4 AMAN CED Building
Purpose: The prime objective of this research is to study the influence of artificial intelligence on the HR functions; while concurrently examining the mediating role of innovativeness and the moderating role of knowledge sharing.
Methodology: This study employs an empirical research design, utilizing a survey method for data collection. A total number of 184 questionnaires were distributed to the HR professionals of telecom sector located in Islamabad, Pakistan.
Findings: The results revealed the positive affect of artificial intelligence on HR functions. However, the moderating variable of knowledge sharing does not strengthen the relationship between the AI and HR functions. Similarly, the variable of innovativeness has shown insignificant effect and doesn’t mediate the relationship between AI and HR functions.
Originality: This research study contributes on the growing research on artificial intelligence concurrently elucidating the moderating role of knowledge sharing and mediating role of innovativeness.
Limitations: A quantitative research methodology was employed for the data collections and analysis; hence generalizability and application issues may be raised.
Implications: This research contributes to the body of knowledge surrounding human resource management and artificial intelligence by offering novel insights and practical guidelines for HR professionals and academics.
