Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41231

Collaborative Distance: Multi-level Analysis Framework for Recommending Structure and Safeguards

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Title: Collaborative Distance: Multi-level Analysis Framework for Recommending Structure and Safeguards
Authors: Derrick, Douglas
Ligon, Gina
Lundmark, Leif
Pleggenkuhle-Miles, Erin
Elson, J S
Keywords: Collaboration
Framework
Problem Complexity
Strategic Alliances
Structure and Safeguards
Issue Date: 04 Jan 2017
Abstract: 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. \
Pages/Duration: 9 pages
URI/DOI: http://hdl.handle.net/10125/41231
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.082
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Processes and Technologies for Small and Large Team Collaboration Minitrack



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