期刊
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷 163, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2020.120417
关键词
Big data analytics capability; Hospital supply chain integration; Operational flexibility; Organizational information processing theory
The research findings indicate that the capability of big data analytics plays a crucial role in hospital supply chain integration and operational flexibility, especially in response to the challenges posed by the COVID-19 outbreak.
Despite increasing research interest in big data analytics, exploring its important role in implementing supply chain management practices in healthcare organisations is still one of the major challenges for both academics and practitioners. We propose a research model theoretically grounded on organizational information processing theory (OIPT) to investigate the roles of big data analytics capability (BDAC) in developing hospital supply chain integration (SCI) and operational flexibility. The results from our analysis of survey data from a sample of 105 senior executives from the Chinese hospitals reveal that BDAC has a significant impact on three dimensions of hospital SCI: inter-functional integration, hospital-patient integration, and hospital-supplier integration; and that hospital-patient integration and hospital-supplier integration fully mediate the relationship between interfunctional integration and operational flexibility. These findings extend and validate OIPT within the context of big data-driven hospital supply chains, while also providing useful and timely guidance to healthcare practitioners in developing data-driven SCI for better operational flexibility, especially to respond to the unprecedented disruption caused by the COVID-19 outbreak.
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