Leveraging AI and Automation in Research Management: A Path to Enhanced Productivity

Abstract

Academic research is being slowed down by too much data, unneeded paperwork and a lack of streamlined processes. Since researchers are facing more work and less time, AI and automation are now considered helpful in making tasks easier and more efficient. The research explores the ways AI can assist in managing research by merging a conceptual framework known as the AI-Augmented Research Lifecycle with observations from a relevant field. The model suggests that AI tools can be used during the literature search, note-taking, preprocessing data, writing and collaborating with others. 500 high-cognition knowledge workers’ behavior was analyzed using regression and correlation to examine the validity of the framework. The study reveals that using AI leads to higher productivity and success in tasks, with only a small effect on the mind’s workload. This information suggests that AI helps improve academic work, rather than creating additional challenges for students, so it should be considered for use in schools. It provides a clear and research-based approach to understanding how intelligent systems can boost the success and productivity of today’s research.