CONCEPTUAL FRAMEWORK FOR ESTIMATING THE PERFORMANCE OF INTERORGANIZATIONAL COLLABORATIVE INNOVATION
Dan Serghie
Additional contact information
Dan Serghie: Fundația Română pentru Inteligența Afacerii
SEA - Practical Application of Science, 2013, issue 2, 285-290
Abstract:
The construction of a sequential model performance based on indicators broken down by factors and variables is relevant because it provides a complete picture of the effectiveness of collaborative structures built and operated on the basis of policies induced by the organizations involved. It also provides a longitudinal analysis of the effectiveness of collaboration for innovation. I will define the performance analysis model of collaborative innovation as a conceptual tool consisting of a set of elements and relationships between them, allowing the quantification of the expression of innovation performance as a result of interaction of several organizations. Applying such a model involves the analysis and estimation of the added value of each segment of interorganizational innovation cycle as part of the overall performance obtained by combining existing or created knowledge. From this point of view, it is necessary to develop an ontology, a common ground on which this model can be built.
Keywords: Collaborative innovation; Complexity; Performance measurement (search for similar items in EconPapers)
JEL-codes: L25 O41 P17 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_2_33.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2013:i:2:serghie
Access Statistics for this article
SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence
More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().