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An application of interdependence theory to military medical research teams: Cultural noise, tradeoffs, and meaning

  • W. F. Lawless(corresponding author)
    ,
  • Joseph Wood
    ,
  • Maximillian E. Stachura
    ,
  • Elena A. Wood
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

To better manage costs and effectiveness of a team or enterprise, the organizational sciences, social sciences and medical field are seeking new theory to transform teams and enterprises with computational models of complex social behavior that create “smart” systems. We have proposed to fulfill these calls with new theory, but ours is still under development. In a field application, we studied an electronic Institutional Review Board (eIRB) operating across a large complex of military medical scientists and researchers in Department of Defense (DoD) hospitals and clinics. As part of a field study of how the eIRB has transformed processes for DoD, we completed three comparable focus groups at a small and three focus groups at a large research site, one focus group of the eIRB’s system managers, and one focus group of a competing eIRB operating in DoD (the latter group results are not reviewed at this time). We found tentative support for our theory: more noise (entropy) is being generated at the small site along with less research performed; cultural noise at both sites reflected an intransigence by sites to be transformed by adopting standardized forms; and the meaning of the findings differed between the small and large sites.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 47-61 (15 pages)

Journal (Volume, Issue Number)

Journal of Enterprise Transformation (Volume 8, Issue 1)

Publication milestones

  • Accepted/In press - 01/29/2018
  • Published - 2018

Publication status

Published - 2018

ISSN

1948-8289

Publication IDs

  • Scopus: 85041179250

Publication metrics

Metrics

SciVal
Author count
4
SciVal
Paper percentile
27
Scopus
citations
Fractional count
2
Fractional count
0.50
Fractional count
2
Fractional count
0.50
Fractional count
2
Fractional count
1

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Captures
3
Citation count
1