Role Of Ai Integration On Effectiveness Of Management Decision Quality And Swiftness: An Empirical Study

Abstract

The adoption of Artificial Intelligence (AI) in organizational decision-making is reshaping, how businesses function across different sectors, leading to smarter, faster, and more informed managerial choices. With the rise of new-age technologies, artificial intelligence (AI) has become a valuable asset in improving the effectiveness and agility of management decision-making. The present research work delves into how Artificial Intelligence (AI) contributes to improving the quality, speed, and precision of managerial decisions. The results aim to showcase notable enhancements in how, quickly and effectively data can be analyzed and decisions made with the help of AI. Therefore, the study shows that Artificial Intelligence is changing the way the management of businesses, makes decisions. Companies are able to work more efficiently, make more accurate choices, and help encourage innovative thinking. Organizations with AI-integrated tools and technologies in their businesses can process and analyze large amounts of data efficiently, leading management towards quicker and more informed decision-making. Overall, the usage of AI in managerial decision-making thus leads to better results for businesses and influences how businesses operate in the future. A sample of 233 was collected for the study. The factors of AI integration on the effectiveness of management decision quality and swiftness are Enhanced Data Processing and Analysis, Enhanced Data Processing and Analysis, Predictive and Prescriptive Analytics, and Predictive and Prescriptive Analytics.