Process mining enables organizations to discover, analyze, and enhance their business processes by extracting knowledge from event logs available in current information systems. This research proposes a process mining methodology for developing business and scientific-academic projects, consisting of nine phases: planning and scope, data preprocessing, data processing, flow control analysis, performance analysis, role analysis, results presentation, results publication, and transfer and monitoring. This methodology results from the researcher’s literature review, analysis of published methodologies, and their knowledge and experiences. Future research will apply this process mining methodology to various case studies in business and scientific-academic domains. This research aims to analyze the methodology’s efficiency, its application’s ease and relevance, and the congruence betwe...

Introduction: Generative Artificial Intelligence (AI), such as ChatGPT, has transformed higher education by facilitating autonomous learning and content generation. However, its adoption poses challenges regarding academic integrity, assessment, and ethics. To ensure its responsible use, it is essential to analyze the factors influencing its acceptance. Objective: To identify theoretical models, analyzed factors, research methods, data analysis techniques, and sampling approaches in studies on ChatGPT in higher education. Method: A systematic literature review was conducted following the PRISMA methodology, searching ScienceDirect, PubMed, and EBSCOhost (September 2023 – September 2024). Methodological quality was assessed using the Critical Appraisal Checklist for Analytical Cross-Sectional Studies (JBI) and the standards of Ijaz and Yadegaridehkordi (2024). A total of 27 studies were...

Process mining enables organizations to discover, analyze, and enhance their business processes by extracting knowledge from event logs available in current information systems. This research proposes a process mining methodology for developing business and scientific-academic projects, consisting of nine phases: planning and scope, data preprocessing, data processing, flow control analysis, performance analysis, role analysis, results presentation, results publication, and transfer and monitoring. This methodology results from the researcher’s literature review, analysis of published methodologies, and their knowledge and experiences. Future research will apply this process mining methodology to various case studies in business and scientific-academic domains. This research aims to analyze the methodology’s efficiency, its application’s ease and relevance, and the congruence betwe...