Authors: Aditi Kar
Abstract: I am currently studying contemporary trends in enterprise HR. I have noticed that companies are increasingly relying on automated software and data-driven systems. In addition to processing thousands of job applications and monitoring daily employee productivity, AI-based tools help companies speed up recruitment processes and reduce operational costs. However, I also found that these tools create significant psychological and operational friction among employees. Behavioral decision models show that employees do not judge their workplaces solely based on quantitative performance metrics. Employee motivation and commitment to their organization depend heavily on whether they feel that they are treated fairly and with genuine empathy. This article provides an empirical assessment of automated system decisions compared to qualitative human management. By combining primary observational data with corporate case evaluations, I evaluated the "empathy gap" inherent in metric-centric management and developed a balanced "Human-in-the-Loop" model for modern enterprise operations.
