Impact Of Artificial Intelligence On Project Scheduling And Project Success In Organizations

Abstract

This paper examines the impact of Artificial Intelligence on project scheduling and project success in organizations. In the modern project management environment, organizations are increasingly adopting AI-based tools to improve planning accuracy, resource allocation, risk prediction, decision-making, and overall project performance. Traditional project scheduling methods often face limitations such as delays, cost overruns, poor forecasting, and inefficient resource utilization. Therefore, the integration of AI has become important for achieving timely and successful project outcomes. The main objective of this study is to analyze how Artificial Intelligence contributes to effective project scheduling and how it influences project success in terms of time, cost, quality, efficiency, and stakeholder satisfaction. The study is based on both primary and secondary data. Primary data is collected through a structured questionnaire from respondents associated with project management and organizational operations, while secondary data is obtained from relevant books, research articles, and online academic sources. A quantitative research approach is used to examine the relationship between AI adoption, project scheduling efficiency, and project success. A sample size of 450 respondents was selected for the study. The respondents were selected through a non-probability purposive sampling technique Purposive sampling was considered suitable because the research focused on specific professional respondents who could provide relevant information about the use of Artificial Intelligence in project scheduling and project success. The findings of the paper indicate that Artificial Intelligence has a positive influence on project scheduling by improving forecasting, reducing human error, supporting real-time monitoring, and enabling better decision-making. AI also contributes to project success by helping managers identify risks earlier, allocate resources more effectively, and complete projects within planned time and budget limits. The study concludes that organizations that adopt AI in project management are more likely to achieve improved scheduling performance and successful project outcomes. This paper is significant because it highlights the growing role of AI in modern project management practices. It recommends that organizations should invest in AI-based scheduling tools, train project teams in digital technologies, and integrate AI into decision-making processes to enhance project efficiency and long-term organizational success.