The Mediating Effect of Innovation Capabilities, Information Quality and Supply Chain Resilience in the Relationship Between Big Data Analytics Capability (BDAC) and Healthcare Performance

Abstract

The article conducted by organizational information processing (OIP) theory and dynamic capabilities theories to analyze how big data analytics capabilities affect healthcare performance in developing countries. In the healthcare performance conceptual framework, supply chain resilience, information quality, and innovative capabilities mediate. This quantitative study surveys 415 healthcare establishments with questionnaires. These 336 respondents actively contributed important input. In Smartpls 4.0, partial least squares are utilized to analyze data that supports hypotheses after checking the normality test of the data. The study results indicate that healthcare organizations would benefit from allocating resources toward the development of big data analytics capacity. The study findings indicate that IQ, IC and SCR have a complementary and moderating role in the association between BDAC and FP. The empirical data support all constructs and expected relationships, confirming previous research. Experimental data suggesting BDA improves healthcare performance are crucial to the existing literature. With the PLS-SEM approach utilized in this work, several of the aforementioned ideas may be theoretically flawed. This study provides a theoretical framework for studying how BDA skills affect SCR, IC, and IQ to improve organizational performance in poor countries. This study may elevate healthcare management’s knowledge of BDAC’s ability to improve performance.