earticle

영어

The field of Information Systems (IS) has emerged as a core domain within the convergence paradigm that integrates information technology (IT) and management to advance both academic and practical applications. As developments in information and communication technology (ICT) have made large-scale data more accessible, research efforts have increasingly focused on uncovering the structural evolution of IS knowledge systems and research trends. Previous studies have employed text mining and network analysis to analyze titles, abstracts, and keywords from IS journals; however, most have been limited to specific time periods or domestic journals, lacking a longitudinal and comparative perspective across leading global and regional journals. To address this gap, this study collected all articles published in the Asia Pacific Journal of Information Systems (APJIS) (1991–Q3 2022) and Management Information Systems Quarterly (MISQ) (1977–Q3 2022). The extracted keywords were categorized into research topics, methodologies, and theories, followed by four analytical approaches: frequency analysis, trend analysis, topic modeling, and keyword network analysis. These methods were used to identify and compare the longitudinal research trends and intellectual structures of the two journals. The findings reveal that both APJIS and MISQ have evolved from system- and technology-centered studies toward data-driven, AI-enabled, and user-focused research. While MISQ has consistently led the introduction of new research themes and theoretical frameworks, APJIS has expanded and contextualized these themes within the Asia-Pacific setting. This study is expected to provide practical guidance for IS journal stakeholders and future researchers by identifying the developmental trajectories of global and regional IS research and proposing promising directions for future studies.