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Presentation
Collaborative Distance: Multi-level Analysis Framework for Recommending Structure and Safeguards
Hawaii International Conference on System Sciences 2017 (HICSS-50)
  • Douglas Derrick, University of Nebraska at Omaha
  • Gina Ligon, University of Nebraska at Omaha
  • Leif Lundmark, University of Nebraska at Omaha
  • Erin Pleggenkuhle-Miles, University of Nebraska at Omaha
  • J S Elson, University of Nebraska at Omaha
Location
Hilton Waikoloa Village, Hawaii
Event Website
http://www.hicss.hawaii.edu
Start Date
1-4-2017
End Date
1-7-2017
Description

We developed a framework that assists in capturing the differences between two organizations. Collaborative distance captures the degree of similarity between the cooperating organizations across four separate levels of analysis: sector, organization, functional, and individual. Organizations that are very similar to each other are said to have “low collaborative distance” and organizations that differ on important characteristics are said to have “high collaborative distance”. We propose that this measure coupled with problem complexity ought to dictate the structure and safeguards for inter-organizational collaboration. We show a sample calculation of this measure. \

Citation Information
Douglas Derrick, Gina Ligon, Leif Lundmark, Erin Pleggenkuhle-Miles, et al.. "Collaborative Distance: Multi-level Analysis Framework for Recommending Structure and Safeguards" (2017)
Available at: http://works.bepress.com/douglas_derrick/8/