The Role of Artificial Intelligence in Modern Human Resource Management: A Review DOI

Priti Dubey Dr. Priti Dubey

International Journal of Innovations in Science Engineering and Management., Journal Year: 2023, Volume and Issue: unknown, P. 59 - 64

Published: Nov. 25, 2023

More than anything else, artificial intelligence is crucial to the human resources sector. In order recruit and create a competent staffing hiring process, HR recruiters have integrated AI technologies. duties are anticipated adapt in tandem with ongoing changes workplace advancement of technology all industries nowadays. this article review various study on role modern resource management. It concluded that transforming Human Resource Management (HRM) by improving efficiency, decision-making, employee experience. streamlines recruitment, talent management, performance evaluation, safety while enabling data-driven insights. However, ethical concerns such as bias job displacement must be addressed. Balancing automation empathy for its success. This highlights AI’s potential mediating factors, creativity usability, HRM. While offers significant benefits, industry-specific challenges evolving nature considered. Thoughtful strategic integration will ensure ethical, effective, sustainable workforce management organizations.

Language: Английский

A Multilevel Responsible Artificial Intelligence Approach DOI
Aizhan Tursunbayeva

Contributions to management science, Journal Year: 2024, Volume and Issue: unknown, P. 99 - 111

Published: Jan. 1, 2024

Citations

0

Effect of HRM exogenous influences on job satisfaction: AI triggered downsizing, following Covid-19 hybrid work culture, & profession difficulties DOI Open Access
Omar N. Badran,

Ruba Elhawi,

Mothanna Attal

et al.

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(15), P. 9675 - 9675

Published: Dec. 13, 2024

This study employed a deductive approach to examine external HRM factors influencing job satisfaction in the post-pandemic hybrid work environment. Explores intermediary functions of age, gender, and experience this particular The data-gathering procedure consisted conducting semi-structured interviews with carefully chosen 50 managers representing various sectors, industries, organizations, professions. applied was adopted allow systematic unbiased investigation mediating variables. used SPSS 25 Smart PLS 4 analyze model, enhancing understanding challenges constantly evolving workplace. findings offer valuable insights for HR experts businesses, highlighting value comprehending what methods components influence optimize employee well-being productivity. provides recommendations designed contentment AI-evolving professional atmosphere, shedding light on importance supportive leadership strategies, particularly during AI-triggered downsizing. Additionally, we welcome new era push forward integrating managing AI tools technologies automate decision-making data processing. Results propose that Exogenous influences human resource management (HRM) manager considerably. Specifically, downsizing caused by found have negative consequences, whereas diversity restructuring favorable effects. Gender recognized as crucial factor outcomes, then age years most visible effect.

Language: Английский

Citations

0

Machine Learning in Human Resources Management for Higher Education Institutes DOI

M. Karthikeyan,

M. S. R. Mariyappan,

J. Sridevi

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 365 - 373

Published: Jan. 1, 2024

Language: Английский

Citations

0

The Role of Artificial Intelligence in Modern Human Resource Management: A Review DOI

Priti Dubey Dr. Priti Dubey

International Journal of Innovations in Science Engineering and Management., Journal Year: 2023, Volume and Issue: unknown, P. 59 - 64

Published: Nov. 25, 2023

More than anything else, artificial intelligence is crucial to the human resources sector. In order recruit and create a competent staffing hiring process, HR recruiters have integrated AI technologies. duties are anticipated adapt in tandem with ongoing changes workplace advancement of technology all industries nowadays. this article review various study on role modern resource management. It concluded that transforming Human Resource Management (HRM) by improving efficiency, decision-making, employee experience. streamlines recruitment, talent management, performance evaluation, safety while enabling data-driven insights. However, ethical concerns such as bias job displacement must be addressed. Balancing automation empathy for its success. This highlights AI’s potential mediating factors, creativity usability, HRM. While offers significant benefits, industry-specific challenges evolving nature considered. Thoughtful strategic integration will ensure ethical, effective, sustainable workforce management organizations.

Language: Английский

Citations

0