Attitude towards artificial intelligence and job satisfaction: A correlational study among corporate employees of Odisha

Ojha, Barsha Rani (2025) Attitude towards artificial intelligence and job satisfaction: A correlational study among corporate employees of Odisha. International Journal of Science and Research Archive, 14 (3). pp. 1183-1190. ISSN 2582-8185

Technological advancements have significantly reshaped the global industries, particularly in health care, education and the corporate sectors. Among these innovations Artificial Intelligence (AI) has emerged a transformative tool, contributing to improved work structure and enhanced employee satisfaction. This study aimed to explore the relationship between employees’ attitude towards Artificial Intelligence and Job Satisfaction in various corporate sectors of Odisha. Additionally, it proposed to examine the gender-based differences in these two variables. The research sample included 120 corporate employees (60 male and 60 female) aged 25-40 years, selected through purposive and snowball sampling methods, ensuring adherence to ethical research practices. Data collection employed two standardized instruments namely, the Artificial Intelligence Scale by Aktay et al. (2024) and Generic Job Satisfaction Scale by Scott Macdonald and Peter Maclntyre (1997). Statistical analyses using independent t-tests and Pearson correlation revealed significant gender differences in attitude towards Artificial Intelligence and Job Satisfaction. Moreover, a strong positive correlation was identified between these two variables. The study highlights key implications for corporate policies, noted certain limitations and provides directions for future research to further explore this dynamic relationship.