Leveraging event-driven IT architecture capability for competitive advantage in healthcare industry: A mediated model

Yichuan Wang, Lee Ann Kung, Terry Anthony Byrd

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations

    Abstract

    The adoption of health information technology (HIT) reveals salient effects on improving the existing operational capabilities of healthcare organizations. One of the important roles of IT is to facilitate the formation of organizational capabilities and, in turn, sustainable competitive advantage in healthcare organizations. In particular, paying greater attention to suitability and capability of IT architecture within firms can directly address current and future business needs. Event-driven architecture (EDA) is one of the emerging IT that has been introduced for real-time enterprises. The software vendors increasingly design health information systems that follow EDA's design principles. Given such conditions, this study intends to contribute to the existing IS research on proposing (a) EDA capability and (b) specific EDA capabilities: sensing, responding, interoperability and flexibility capability and (c) a conceptual research model presenting the relationships among EDA capabilities, dynamic capability and competitive advantage.

    Original languageEnglish (US)
    Title of host publicationInternational Conference on Information Systems (ICIS 2013)
    Subtitle of host publicationReshaping Society Through Information Systems Design
    Pages2530-2541
    Number of pages12
    StatePublished - Dec 1 2013
    EventInternational Conference on Information Systems, ICIS 2013 - Milan, Italy
    Duration: Dec 15 2013Dec 18 2013

    Publication series

    NameInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
    Volume3

    Other

    OtherInternational Conference on Information Systems, ICIS 2013
    CountryItaly
    CityMilan
    Period12/15/1312/18/13

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Statistics, Probability and Uncertainty
    • Applied Mathematics
    • Library and Information Sciences

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