A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach
M. Pilar Latorre (),
Ramón Hermoso () and
María A. Rubio ()
Additional contact information
M. Pilar Latorre: University of Zaragoza
Ramón Hermoso: University of Zaragoza
María A. Rubio: University of Zaragoza
The Journal of Technology Transfer, 2017, vol. 42, issue 6, 1255-1275
Abstract In the last years, Science and Technology Parks (STPs) have been considered facilitators of inter-organizational relationships, as well as instruments of public policy, by creating networks and allowing access for the learning of local innovation. In this study, we propose a quantitative tool as support for measuring the efficiency of STPs through the analysis of the complex networks they form. We present a generic framework called the Inter-Relationship Science-Park Analysis (ISA) framework to study STPs at three different levels of management: (1) individual entities (research centres, universities, innovation companies, etc.); (2) STP global management; and (3) productive sector development. Moreover, we have applied the ISA framework to a real-world case study: the Walqa Science and Technology Park. Through it we have been able to know what relationships are established within this Science and Technology Park and which are the most important nodes in this network of interactions.
Keywords: Science and technology parks; Innovation; Complex networks; Inter-organizational networks (search for similar items in EconPapers)
JEL-codes: O32 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10961-017-9585-9 Abstract (text/html)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:jtecht:v:42:y:2017:i:6:d:10.1007_s10961-017-9585-9
Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10961/PS2
Access Statistics for this article
The Journal of Technology Transfer is currently edited by Albert N. Link, Donald S. Siegel, Barry Bozeman and Simon Mosey
More articles in The Journal of Technology Transfer from Springer
Bibliographic data for series maintained by Sonal Shukla ().