Developing a big data-enabled transformation model in healthcare: A practice based view

Yichuan Wang, LeeAnn Kung, William Yu Chuang Wang, Casey G. Cegielski

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

Healthcare organizations are looking for opportunities to create new business model and value that can be implemented through information technology (IT) enabled transformation. Big data, an overwhelming phenomenon which has been addressed through various new and old data management technologies, hold the key to healthcare transformation. To address this, we developed a big-data-enabled transformation model based on practice-based view showing that the relationships among big data capability, big-data-enabled transformation practice, benefit dimensions, and firm performance. We tested this model by analyzing secondary data regarding big data in the healthcare context. Our results not only conceptually defined four big data capabilities but also found two significant path-to-performance chains. The contributions of this study are twofold. For management research, we establish a big-data-enabled transformation model to explain how big data leads to firm performance. For practitioners, we identify potential patterns that will help understanding big data's potentials and capabilities.

Original languageEnglish (US)
StatePublished - Jan 1 2014
Event35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014 - Auckland, New Zealand
Duration: Dec 14 2014Dec 17 2014

Other

Other35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014
CountryNew Zealand
CityAuckland
Period12/14/1412/17/14

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications

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