AI-DRIVEN HRM PRACTICES IN IT INDUSTRY: AN EXPLORATORY ANALYSIS OF EMPLOYEE FEEDBACK AND SENTIMENT
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AI-DRIVEN HRM PRACTICES IN IT INDUSTRY: AN EXPLORATORY ANALYSIS OF EMPLOYEE FEEDBACK AND SENTIMENT
Authors:
- SRAVANI1,
- Dr. H S. ABZAL BASHA 2
1MBA Student, Department of Management Studies,
- Pullaiah College of Engineering and Technology, Kurnool -518002, Andhra Pradesh, India
2Associate Professor, Department of Management Studies,
- Pullaiah College of Engineering and Technology, Kurnool -518002, Andhra Pradesh, India
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
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