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Discovering the Rules

Folk Knowledge for Improving GM Partnerships

Bibliographic Data

ID7800516
AuthorsTracy L Meerwarth (corresponding author), E K Briody (0000-0001-6218-371X), Devadatta M Kulkarni, Amey Kulkarni (0000-0003-3061-8269)
Year2005
Volume64
Issue3
Pages286-302
Publication date2005-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman Organization (JOURNAL)
Journal identifiersISSN: 0018-7259 • E-ISSN: 1938-3517
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.17730/humo.64.3.d2mlqmpdrqda9am2
OpenAlexW2070823574
LanguageEN
Citations received4
References cited7

Partnership collaboration, a critical emerging strategy for General Motors (GM) and for organizations in general, is a way to combine resources and complementary expertise to create new knowledge, products, or services. Since partnerships are a relatively new organizational form, our team was commissioned by the head of GM Research and Development (GM R&D) to understand how private-sector research partnerships functioned and how we might offer suggestions for improving their effectiveness. Participants and organizations engaged in partnerships represent a vast population that stands to benefit from social science research. Understanding partnerships involves examining aspects of the culture of the partnering organizations, as well as the historical context of the partnership, partnership structure and dynamics, activities undertaken, and partnering outcomes. Through our analysis of interview data from the Alcan-GM and BP-GM partnerships, we discovered the concept of partnership rules – prescriptions offered by partnership participants for how partnerships should work. In this report, we develop and validate a methodology for uncovering these unwritten rules. We discuss the methodological and organizational contributions from this methodological analysis and describe the impact of this methodology on all types of gm's research partnerships

Business · Context (archaeology · General partnership · Knowledge management · Political science · Population · Public relations · Sociology · Complex Systems and Decision Making · Computer Science

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Unique citing works4
Citations per year0,21
Citation span2007 - 2016 (10)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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