Authors: Dr Surbhi Dubey Misra
Abstract: The increasing integration of Artificial Intelligence (AI) in organizational processes has led to debates between complete automation and Human–AI collaboration models. While automation enhances operational efficiency, it raises concerns related to employee performance, ethical governance, and innovation sustainability. This study empirically examines the impact of Human–AI collaboration compared to complete automation on managerial decision-making quality, employee performance, organizational innovation, and ethical trust. A quantitative research design was adopted, and data were collected from 200–400 employees across multiple sectors using a structured Likert-scale questionnaire. Statistical analysis was performed using SPSS, including reliability testing, correlation, regression, and independent sample t-tests. The findings are expected to demonstrate that Human–AI collaboration significantly outperforms complete automation in enhancing organizational outcomes. The study contributes to socio-technical systems theory and provides managerial implications for AI adoption strategies.
DOI: http://doi.org/10.5281/zenodo.20135558
