THE IMPACT OF BIG DATA UTILIZATION ON MALAYSIAN GOVERNMENT HOSPITAL HEALTHCARE PERFORMANCE

Abstract

The Malaysian healthcare systems face incredible challenges as technology is being used more and more widely, and citizens' expectations are increasing just as rapidly. The Healthcare industry is adopting big data in daily operations to ensure excellent performance. In this context, Big Data can help providers achieve these objectives in an unparalleled manner. However, the Malaysian government hospitals remain unable to implement big data. Hence, this study examines the mediating role of the use of big data (UBD) on the relationship between hospital performance (HP), data quality (DQ), data integration (DI), and data governance (DG). The study framework is established from theories, namely Resource-Based View (RBV), extending the DeLone and Mclean IS Success Model (D&M ISSM). The data was collected from Malaysian government hospitals.  Total questionnaires of 560 were distributed, and 212 were responded.  The convenience sampling technique was used.  Hypotheses tests were performed via Smart PLS 3.3.2.  Results show DQ and DI have significant direct relationships with the UBD. However, DG is not significant with UBD. Findings on the use of big data as a mediating variable reveal DQ and DI have a significant direct relationship with UBD except for DG. Findings provide important insights to government, policymaker, and researchers to further understand the use of big data to enhance hospital performance in Malaysia.