Using Text Mining to Identify Research Trends in Management Information Systems Theses: A Topic Modeling Approach

This study employs topic modeling to analyze 386 master's and doctoral theses in the field of Management Information Systems (MIS) in Turkey between 2002 and 2024. Using Latent Dirichlet Allocation, the research uncovers key thematic areas such as digital transformation, system integration, process management, and user experience, alongside emerging trends in artificial intelligence, big data, and data mining. The findings reveal that MIS research increasingly addresses interdisciplinary challenges and provides practical solutions for societal and business needs. This study not only maps the evolution of research trends in the MIS field but also offers actionable insights to guide future academic and applied research. The results emphasize the pivotal role of MIS in advancing digital transformation and its potential to contribute significantly to addressing global challenges through technology-driven innovation.