AI-DRIVEN HRM PRACTICES IN IT INDUSTRY: AN EXPLORATORY ANALYSIS OF EMPLOYEE FEEDBACK AND SENTIMENT

The present study explores the role of AI in HRM practices at Anthology Inc, Bangalore. It unravels the multifaceted dynamics of AI in HRM, addressing critical questions about the adaptability of HR professionals and the potential transformative impact on recruitment and employee sustainability. The integration of AI has far-reaching implications, not only influencing efficiency and decision-making but also impacting the ethical dimensions of talent management and the overall employee experience. As companies strive to remain competitive and efficient, they are turning to AI-driven solutions to streamline their processes and maximize resources. This study aims to examine the significant relationship between the application of AI on employee sustainability and recruitment. In connection to this objective, the data is collected from the employees of Anthology Inc with the help of a structured questionnaire. Using SPSS, the correlations are done to test the hypothesis formulated. Through the analysis, it is found that AI has enhanced the sustainability of employment at Anthology Inc by improving HR processes, fostering a fair and unbiased approach, and empowering employees to grow professionally within the organization. Moreover, AI adoption has positively influenced employee selection at Anthology Inc. With the majority of respondents acknowledging AI's role in making employee selection more personalized, there's evidence of AI's potential to enhance recruitment processes by leveraging data-driven insights and automation. Key Words: AI, HRM, Recruitment, Selection, Employee Sustainability

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-21
DOI
https://doi.org/10.55041/isjem02980
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-DRIVEN HRM PRACTICES IN IT INDUSTRY: AN EXPLORATORY ANALYSIS OF EMPLOYEE FEEDBACK AND SENTIMENT

Haroon Basha, SRAVANI SRAVANI
International Scientific Journal of Engineering and Management
AI and HR Technologies
article

AI-DRIVEN HRM PRACTICES IN IT INDUSTRY: AN EXPLORATORY ANALYSIS OF EMPLOYEE FEEDBACK AND SENTIMENT

Haroon Basha, SRAVANI SRAVANI
article en

Abstract

The present study explores the role of AI in HRM practices at Anthology Inc, Bangalore. It unravels the multifaceted dynamics of AI in HRM, addressing critical questions about the adaptability of HR professionals and the potential transformative impact on recruitment and employee sustainability. The integration of AI has far-reaching implications, not only influencing efficiency and decision-making but also impacting the ethical dimensions of talent management and the overall employee experience. As companies strive to remain competitive and efficient, they are turning to AI-driven solutions to streamline their processes and maximize resources. This study aims to examine the significant relationship between the application of AI on employee sustainability and recruitment. In connection to this objective, the data is collected from the employees of Anthology Inc with the help of a structured questionnaire. Using SPSS, the correlations are done to test the hypothesis formulated. Through the analysis, it is found that AI has enhanced the sustainability of employment at Anthology Inc by improving HR processes, fostering a fair and unbiased approach, and empowering employees to grow professionally within the organization. Moreover, AI adoption has positively influenced employee selection at Anthology Inc. With the majority of respondents acknowledging AI's role in making employee selection more personalized, there's evidence of AI's potential to enhance recruitment processes by leveraging data-driven insights and automation. Key Words: AI, HRM, Recruitment, Selection, Employee Sustainability

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 91%
AI and HR Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.