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Examining innovation in hospital units: a complex adaptive systems approach
Wiljeana Jackson Glover1, Noa Nissinboim2, Eitan Naveh2
1Technology, Operations, and Information Management Division, Babson College, Babson Park, Wellesley, MA, 02457, USA. wjglover@babson.edu.
Healthcare unit complexity can drive innovation when autonomy is low and performance orientation is high. This study quantifies complexity
Area of Science:
- Healthcare Management
- Organizational Behavior
- Innovation Studies
Background:
- Healthcare delivery is undergoing rapid innovation.
- Healthcare complexity presents unique challenges for innovation adoption.
- Complex Adaptive Systems (CAS) theory offers a framework for understanding these dynamics.
Purpose of the Study:
- To investigate the relationship between unit complexity and innovation in hospitals.
- To explore the moderating roles of autonomy and performance orientation within a CAS framework.
Main Methods:
- Quantitative study of 31 hospital units.
- Application of Complex Adaptive Systems (CAS) theory.
- Analysis of autonomy and performance orientation as moderators.
Main Results:
- Unit complexity correlates with higher innovation when autonomy is low.
- Unit complexity is linked to greater innovation with high performance orientation.
- Quantified complexity's impact on healthcare innovation, examined autonomy's role, and introduced performance orientation's influence.
Conclusions:
- Complexity does not inherently hinder healthcare innovation.
- Hospitals should guide innovation efforts and provide management support.
- Visibility of successful pilot innovations and alignment with unit performance are crucial for success.
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