Article
“Effectiveness of Management Information Systems in Manufacturing Industries: A Bibliometric Analysis of Research Themes and Emerging Trends”
The purpose of this study is to examine the effectiveness of Management Information Systems (MIS) followed in manufacturing industries by synthesizing existing scholarly literature through a systematic bibliometric analysis. The study aims to identify dominant research themes, theoretical foundations, and emerging directions that explain how MIS contributes to operational efficiency, decision-making effectiveness, and strategic competitiveness in manufacturing organizations. The study adopts a bibliometric research design based on peer-reviewed journal articles indexed in the Scopus database. A PRISMA-guided literature selection process was employed to ensure transparency and rigor. Keyword co-occurrence and network visualization techniques were applied using VOSviewer to identify thematic clusters and intellectual linkages within MIS and manufacturing research. The bibliometric analysis yielding five testable propositions for empirical validation via PLS-SEM. The findings indicate that MIS effectiveness in manufacturing industries is multi- dimensional, encompassing decision-support intelligence, operational integration, engineering–management coordination, performance evaluation, and sustainability orientation. The literature shows a clear transition from traditional reporting-based MIS to analytics-driven and strategically aligned information systems, particularly in the context of Industry 4.0. The study relies on secondary bibliometric data and does not empirically test causal relationships. While the findings provide a comprehensive conceptual synthesis, future research may validate the identified dimensions using empirical and longitudinal research designs. The study offers actionable insights for manufacturing managers to align MIS investments with decision intelligence, operational excellence, and long-term sustainability goals. It also highlights the importance of integrating shop-floor data with managerial decision systems. This study contributes to the MIS and manufacturing literature by structuring fragmented research into coherent thematic dimensions and by positioning MIS as a strategic organizational capability rather than a purely operational support system.