Design Of Ai Tool For Measuring Impact Of Leadership On Employee Performance In Infrastrural Engineering Company

Abstract

The study emphasises the importance of transformative leadership as it investigates how employee performance in infrastructure engineering organisations is impacted by leadership styles. It has been seen that transformational leaders greatly enhance employee outcomes. These leaders are typified by inspiring, encouraging innovation, and thinking creatively. This research considers 100 employees sample of engineering organization leadership attributes, include participation in decision-making, clarity in communication, and high-quality feedback, were examined to see how they affected employee performance. The study verified that there is a direct relationship between leadership style and team dynamics, work satisfaction, and productivity using statistical techniques including regression analysis and F-tests.

In addition, an artificial intelligence tool was created to assess worker performance based on leadership attributes, and it achieved a 90% classification accuracy rate. In order to improve employee outcomes, the study emphasises the value of open communication, consistent feedback, and assistance with professional development. The results offer practical advice for developing leaders and present artificial intelligence (AI) as a useful instrument for evaluating and enhancing leadership efficacy in the infrastructure industry.

The study reveals that performance and job happiness, some important suggestions include developing transformational leadership, expanding employee participation in decision-making, and improving recognition and reward programs.