Evaluating the impact of knowledge management and database management on decision-making process: A case study of subsea project services

Abstract

The oil and gas industry is known for its rapid technological advancements and the complexity of its operations, increasingly relying on data-intensive management. As subsea projects—from exploration to decommissioning—become more complex and data-driven, integrating knowledge management (KM) and database management systems (DBMS) has become essential. The research specifically explores how KM and DBMS contribute to decision-making, utilizing a quantitative methodology through a questionnaire survey. Findings reveal that KM processes significantly improve the effectiveness of non-spatial data management, highlighting KM's crucial role in facilitating technology adoption and operational efficiency. However, the influence of KM on spatial data management and overall decision-making is found to be limited, indicating the necessity for more adaptive and integrated KM strategies that serve the unique requirements of database systems. This study underscores the critical but nuanced role of KM and DBMS in the oil and gas industry, advocating for tailored KM strategies to optimize database management. It suggests future research into the interplay of KM with emerging technologies like AI and machine learning to enhance database management. This investigation stresses the importance of holistic KM practices in effectively managing the intricate data landscapes of subsea project services, thereby contributing to the broader discourse on KM, DBMS, and decision-making in complex settings.