Impact of Generative Artificial Intelligence on Managerial Productivity and Decision-Making Quality
DOI:
https://doi.org/10.7492/0zkhnc28Keywords:
Generative Artificial Intelligence (GenAI), Managerial Productivity, Decision-Making Quality, Artificial Intelligence Adoption, Human–AI Collaboration, Digital Transformation, Organizational Performance, AI Literacy, Data-Driven Decision Making, Business AnalyticsAbstract
Generative Artificial Intelligence (GenAI) is changing how managers work by helping them complete tasks faster and make better decisions. This study looks at how
using GenAI affects managerial productivity and the quality of decisions in organizations, especially in India. Data was collected from 350 managers and analysed using
statistical methods. The results show that GenAI helps managers save time by handling routine tasks like report writing and data analysis. This allows them to focus
more on important activities such as planning and problem-solving. It also improves decision-making by providing useful insights and predictions. However, some
challenges still exist, such as errors in AI output, bias, and over-dependence on technology. The study also finds that managers who understand AI well and organizations
that provide proper support can get more benefits from GenAI. Overall, GenAI can improve both productivity and decision-making, but it should be used carefully with
human judgment.








