Keywords
Organizational resiliency, plan adequacy, emergency plans, nursing homes, florida
Abstract
Some social and organizational behavior scientists measure resiliency through anecdotal qualitative research, i.e. personality analyses and stories of life experience. Empirical evidence remains limited for identifying measurable indicators of resiliency. Therefore, a testable contingency model was needed to clarify resiliency factors pertinent to organizational performance. Two essential resiliency factors were: 1) a written plan and 2) affiliation with a disaster network. This contingency study demonstrated a quantifiable, correlational effect between organizational complexity, disaster plan adequacy and organizational resiliency. The unit of analysis, the skilled nursing facility proved vulnerable, therefore justifying the need for a written emergency management plan and affiliation with a disaster network. The main purpose of this research was to verify the significance of emergency management plans within a contingency framework of complexity theory, resource dependency, systems theory, and network theory. Distinct sample moments quantified causal relationships between organizational complexity (A), plan adequacy (B) and resiliency (C). Primary and secondary research data were collected from within the context of public health and emergency management sectors within the State of Florida.
Notes
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Graduation Date
2015
Semester
Fall
Advisor
Wan, Thomas T. H.
Degree
Doctor of Philosophy (Ph.D.)
College
College of Health and Public Affairs
Degree Program
Public Affairs
Format
application/pdf
Identifier
CFE0005929
URL
http://purl.fcla.edu/fcla/etd/CFE0005929
Language
English
Release Date
December 2015
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
Subjects
Dissertations, Academic -- Health and Public Affairs; Health and Public Affairs -- Dissertations, Academic
STARS Citation
Boyce, Cherie, "Organizational Complexity, Plan Adequacy, and Nursing Home Resiliency: A Contingency Perspective" (2015). Electronic Theses and Dissertations. 1357.
https://stars.library.ucf.edu/etd/1357