THE IMPACT OF GENERATIVE AI TOOLS ON EMPLOYEE PERFORMANCE AND HUMAN RESOURCE MANAGEMENT

Author

B. Venkat Sai, Dr. KVB Ganesh


Abstract

 Generative Artificial Intelligence (GenAI) tools such as ChatGPT, Microsoft Copilot and Google Gemini are increasingly capable of supporting content creation, information processing, communication and routine workplace tasks. This paper examines perceived generative AI use, employee performance and Human Resource Management (HRM) support using the questionnaire and spreadsheet files supplied for this project. The available workbook contains 80 synthetic practice records and 15 Likert-type items, with some question-number gaps and duplicated or overlapping constructs. Descriptive statistics, a chi-square test, one-way ANOVA, Pearson correlation, ordinary least-squares linear regression and a limited internal-consistency check were conducted for demonstration. In this synthetic dataset, the AI-usage index had a mean of 3.50 (SD = 0.95), the performance-perception index had a mean of 3.90 (SD = 0.74), and the HRM-perception index had a mean of 3.96 (SD = 0.46). The relationship between AI usage and performance perception was weak and not statistically significant, r = 0.138, p = 0.223. The regression model explained approximately 1.9% of the variation in the performance index (R² = 0.019). The chi-square test and age-group ANOVA were also not statistically significant at the 5% level. These outputs are illustrative only because the dataset is synthetic and cannot support claims about real employees or causal impact. The paper therefore provides a research structure and an analysis template that should be rerun with authentic data.


Keywords

Generative AI; employee performance; productivity; work efficiency; Human Resource Management; regression; chi-square; ANOVA.



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References


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