Cited by 57Healthcare Quality and ManagementHealth Services Management and PolicyOrganizational Leadership and Management Strategies

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Examining innovation in hospital units: a complex adaptive systems approach

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Glover, Wiljeana Jackson, Nissinboim, Noa, Naveh, Eitan·2020·BMC Health Services Research

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Abstract

Background: We are in an innovation age for healthcare delivery. Some note that the complexity of healthcare delivery may make innovation in this setting more difficult and may require more adaptive solutions. The aim of this study is to examine the relationship between unit complexity and innovation, using a complex adaptive systems approach in a hospital setting. Methods: We conducted a quantitative study of 31 hospital units within one hospital and use complex adaptive systems (CAS) theory to examine how two CAS factors, autonomy and performance orientation, moderate the relationship between unit complexity and innovation. Results: We find that unit complexity is associated with higher innovation performance when autonomy is low rather than high. We also find that unit complexity is associated with higher innovation performance when performance orientation is high rather than low. Our findings make three distinct contributions: we quantify the influence of complexity on innovation success in the health care sector, we examine the impact of autonomy on innovation in health care, and we are the first to examine performance orientation on innovation in health care. Conclusions: This study tackles the long debate about the influence of complexity on healthcare delivery, particularly innovation. Instead of being subject to the influence of complexity with no means of making progress or gaining control, hospitals looking to implement innovation programs should provide guidance to teams and departments regarding the type of innovation sought and provide support in terms of time and management commitment. Hospitals should also find ways to promote and make successful pilot implementations of such innovations visible in the organization. A close connection between the targeted innovation and the overall success and performance of the hospital unit is ideal.

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Fig. 1 Linear Regression Lines of Innovation as a Function of Unit Complexity and Autonomy
Fig. 1 Linear Regression Lines of Innovation as a Function of Unit Complexity and AutonomyCC BY · PubMed Central
Fig. 2 Linear Regression lines of Innovation as a function of Unit complexity and Performance Orientation
Fig. 2 Linear Regression lines of Innovation as a function of Unit complexity and Performance OrientationCC BY · PubMed Central

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References 61 · Cited by 57

Research works printed but not linked: 5

  1. Toussaint T, DaSilva K, Toussaint JS. How Atrius health is making the shift from volume to value: Harvard Business Review; 2016.
  2. Rouse W. Health care as a complex adaptive system: implications for design and management. Bridg Acad Eng. 2008;38(1):17.
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Metadata

Authors
Glover, W. J., Nissinboim, N., & Naveh, E.
Affiliations
  • Babson College (US)
  • Technion – Israel Institute of Technology (IL)
Corresponding author
Glover, Wiljeana Jackson
Venue
BMC Health Services Research
Published
2020-06-18
Volume
20
Issue
1
Pages
554-554
ISSN
1472-6963 (ISSN-L)
OpenAlex
W3036214367
Cited by
57
References
61
Citations by year
2026: 9 · 2025: 11 · 2024: 14 · 2023: 5 · 2022: 13 · 2021: 3 · 2020: 1
FWCI
4.67
Type
journal article
Language
en
Open access
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Massachusetts Institute of Technology (n/a)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Quality and Management
  • Health Sciences › Health Professions › General Health Professions › Health Services Management and Policy
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Organizational Leadership and Management Strategies
Keywords
healthcare innovation, hospital departments, complex adaptive systems, organizational autonomy, performance orientation, innovation performance, pilot implementation
MeSH terms
Delivery of Health Care, Hospital Units, Hospitals, Humans, Organizational Innovation, Systems Analysis, Systems Theory

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CoChat. (2026). Citation check: Examining innovation in hospital units: a complex adaptive systems approach. https://app.cochat.ai/papers/10.1186/s12913-020-05403-2
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Glover, W. J., Nissinboim, N., & Naveh, E. (2020). Examining innovation in hospital units: a complex adaptive systems approach. BMC Health Services Research. https://doi.org/10.1186/s12913-020-05403-2