Abstract
Big Data Analytics (BDA) has attracted significant attention from healthcare organisations seeking to leverage its analytical capabilities to resolve the challenges plaguing healthcare delivery. Yet, the outcomes of BDA have been inconclusive with unintended consequences arising, indicating the path for BDA value creation remains unclear. Responding to calls in literature, we seek to unveil the role of use in BDA value creation. Synthesising literature, we developed the BDA-Use-Value (BDA-UV) framework and subsequently used a case study of an Australian digital hospital to explore the framework. Overall, we found support for the BDA-UV framework and revealed nuanced insights surrounding a cyclical relationship between BDA use and system capabilities, a fuzzy boundary between BDA organisational capabilities and complementary organisational resources, and the complexity of BDA learning loop. Our framework and findings can also assist executives of digital hospitals to tailor their BDA strategies.
Recommended Citation
Yeh, Yi-Ting; Eden, Rebekah; Fielt, Erwin; Syed, Rehan; Donovan, Raelene; Eley, Robert; and Staib, Andrew, "Unveiling the value of big data analytics use: A digital hospital case study" (2023). ECIS 2023 Research Papers. 318.
https://aisel.aisnet.org/ecis2023_rp/318