The increasing complexity of contemporary organizations creates greater possibilities for cognitive bias to affect executive decision processes. The People Analytics method provides organizations with a data-based solution that improves their ability to make unbiased decisions. The research study investigates how People Analytics technology helps reduce inaccuracies in managerial decision-making. The research uses a quantitative explanatory method to investigate middle and upper management personnel who use human resource information, using a survey. The researchers employed linear regression analysis to examine their data. The results of the study show that People Analytics usage leads to a significant reduction in executive decision-making biases, helping organizations make more unbiased and consistent decisions. The research study establishes its value through the combination of People Analytics and decision bias theory within a universal management framework. The research findings demonstrate that People Analytics serves as a strategic tool that enhances both the quality and accountability of executive decisions.
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