The rapid advancement of Generative Artificial Intelligence (Generative AI) technologies has significantly transformed organizational operations, strategic planning, and managerial decision-making processes across industries. In India, IT firms are increasingly integrating Generative AI tools into business intelligence, predictive analytics, customer support, coding automation, and operational management systems to improve efficiency and competitiveness. However, concerns regarding employee trust, technological adaptability, ethical risks, and decision reliability continue to influence the effectiveness of AI-driven organizational decisions. The present study examines the influence of Generative AI adoption, employee trust, and AI capability on organizational decision-making effectiveness in Indian IT firms. The study adopted a quantitative research approach using primary data collected from 250 employees working in Indian IT companies through a structured questionnaire. Reliability and validity were assessed using Cronbach’s Alpha, Composite Reliability (CR), Average Variance Extracted (AVE), and discriminant validity analysis. The findings confirmed satisfactory reliability and validity, with item loadings ranging from 0.81 to 0.95 and Composite Reliability values exceeding 0.90. The results revealed that Generative AI adoption significantly improves organizational decision-making effectiveness by enhancing decision speed, data accuracy, and predictive capabilities. Employee trust was found to positively influence the acceptance and utilization of AI-generated recommendations, while AI capability significantly contributed toward organizational performance and strategic efficiency. The findings further indicated that organizations with higher employee adaptability toward AI technologies demonstrate better implementation outcomes and operational effectiveness. The study concludes that successful integration of Generative AI requires organizational trust, employee training, ethical AI governance, and strategic technology management. The findings contribute to the fields of technology management, artificial intelligence adoption, and organizational behavior by offering practical insights for IT firms, policymakers, and technology managers regarding responsible AI integration and decision intelligence systems.
Pratap et al. (Fri,) studied this question.