@inproceedings{430dacbef49f4126a14b14aab0f1896b,
title = "Collaborative distance: Multi-level analysis framework for recommending collaboration structure and safeguards",
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.",
author = "Derrick, {Douglas C.} and Ligon, {Gina S.} and Miles, {Erin P.} and Lundmark, {Leif W.} and Elson, {J. S.}",
note = "Publisher Copyright: {\textcopyright} 2017 Proceedings of the Annual Hawaii International Conference on System Sciences. All rights reserved.; 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 ; Conference date: 03-01-2017 Through 07-01-2017",
year = "2017",
language = "English (US)",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "678--686",
editor = "Bui, {Tung X.} and Ralph Sprague",
booktitle = "Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017",
}