Analysis of Organizational Factors Promoting Data Utilization in Large Japanese Corporations

Abstract

The objective of this study is to identify the activities required to achieve effective outcomes in data utilization within large Japanese corporations. Building upon research on Big Data Analytics Capabilities, as represented by Gupta and George (2016), we categorized corporate structure into three primary organizational segments: “Data Utilization Organization,” “Executive/Corporate Level,” and “Business Units.” A hypothesis model was developed to examine how the activities of each segment contribute to data utilization outcomes. The results indicate that while data resources, analytical systems, and skilled personnel within the Data Utilization Organization are essential for achieving data utilization outcomes, they are not sufficient as direct effects alone. Two key mediating factors were identified: (1) executive awareness and understanding of data utilization, along with a corporate culture that supports organizational transformation; and (2) business unit awareness and understanding of data utilization, as well as collaboration with the Data Utilization Organization. Importantly, (1) was shown to have a greater impact than (2).