The purpose of this study was first to determine factors associated with
intellectual reputation, specifically among selected biomedical departments worldwide
within the university setting. Second, the study aimed to examine intellectual reputation
in relationship to doctoral graduates’ productivity in the biomedical sciences and in
relationship to organizational biomedical advancement and productivity. Third, the study
aimed to visualize a spatial relationship between intellectual reputation and local
organizational biomedical advancement and productivity in the United States and the
United Kingdom. Finally, a simulated research-based model was proposed for
understanding hospital productivity. The study used quantitative analysis in order to achieve these goals. The Geographic Information System (GIS) and Geocommons were used to visualize possible relationship between universities and hospitals in different regions. The findings from
this study suggest that the university’s research intensity, having a Nobel Laureate on
staff, Hirsch Index of the most prominent researcher on staff, scientific patent, scientific
publications, and affiliation with multiple countries are good predictors of intellectual
reputation. Correlation analysis suggests that university intellectual reputation is
associated with doctoral graduates’ productivity. When examining the relationship
between the university and hospitals, university intellectual reputation was positively
correlated with hospital biomedical advancement, r= .445, p =0.001. Hospital
productivity was significantly correlated with university intellectual reputation, r= .322,
p =0.001. University intellectual reputation was significantly correlated with hospital
capacity to absorb knowledge (r= 0.211, p =0.005) and knowledge spillover (r=.242,
p =0.001). Regression analysis reveals that hospital capacity to absorb knowledge and
knowledge spillover are good predictors of hospital biomedical advancement, F (2, 176)
= 52.637, p = 0.001. Hospital capacity to absorb knowledge, affiliation with a university,
intellectual reputation of the affiliated university, and distance between the hospital and
the affiliated university were shown to be good predictors to hospital productivity, F (4,
106) = 11.115, p = 0.001. Visual examination of the hospitals suggests that when the universities publish at a large quantity, this tends to influence the hospitals within the area to publish a large
quantity as well. Additionally, hospitals that are more productive tend to cluster around
universities with higher intellectual reputation. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_13425 |
| Contributors | Cavanaugh, Gesulla (author), Wright, Dianne A. (Thesis advisor), Florida Atlantic University (Degree grantor), College of Education, Department of Educational Leadership and Research Methodology |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 117 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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