Start Date
11-12-2016 12:00 AM
Description
Event-driven architecture is one of IT architectures introduced to assist enterprises operate in a real-time environment such as healthcare. As IT business value generation is a complex process, we explore configurations of event-driven architecture and other organizational elements in achieving healthcare performance. We purpose an alternative non-regression-based way, configurational approach, to study such process. Drawing on the configuration view, we attempt to capture the complexity of interactions among EDA-enabled capability and organizational elements needed to achieve higher health care quality. We tested our model with both primary and secondary data. Results show three different configurations with high levels of responding capability, dynamic capability and physicians' resistance to IT changes present in all three paths. Our findings advance understanding of a complex business value generation process and also provide practical guidance for healthcare managerial practices.
Recommended Citation
Kung, LeeAnn; Wang, YiChuan; and Kung, Hsiang-Jui, "Exploring Configurations for Business Value from Event-Driven Architecture in Healthcare" (2016). ICIS 2016 Proceedings. 8.
https://aisel.aisnet.org/icis2016/ISStrategy/Presentations/8
Exploring Configurations for Business Value from Event-Driven Architecture in Healthcare
Event-driven architecture is one of IT architectures introduced to assist enterprises operate in a real-time environment such as healthcare. As IT business value generation is a complex process, we explore configurations of event-driven architecture and other organizational elements in achieving healthcare performance. We purpose an alternative non-regression-based way, configurational approach, to study such process. Drawing on the configuration view, we attempt to capture the complexity of interactions among EDA-enabled capability and organizational elements needed to achieve higher health care quality. We tested our model with both primary and secondary data. Results show three different configurations with high levels of responding capability, dynamic capability and physicians' resistance to IT changes present in all three paths. Our findings advance understanding of a complex business value generation process and also provide practical guidance for healthcare managerial practices.