Conditionally-mediated effects of scale in collaborative R&D

Yiannis Spanos ()

The Journal of Technology Transfer, 2012, vol. 37, issue 5, 696-714

Abstract: This paper reports the results of an empirical investigation into the role of project scale, as reflected in consortium size, on the impacts obtained by partners participating in publicly-funded collaborative R&D projects. I argue in this study that scale may affect performance indirectly rather than directly. Specifically, I model the influence of scale as being mediated by a set of intervening variables that may be said to “transmit” both positive and negative effects through (i) complementarity of resources, (ii) learning, and (iii) transaction costs in project implementation. Moreover, I hypothesize that these indirect effects are conditional on certain moderators that include resources committed, project management mechanisms, and project uncertainty and scope. The results offered in this study largely confirm the proposition of conditionally-mediated effects of scale on performance. They indicate that a number of conditional indirect effects are indeed significant, and surprisingly, that these effects are mostly negative. Copyright Springer Science+Business Media, LLC 2012

Keywords: Collaborative R&D; Economies of scale; R&D performance; Moderated mediation; O30; O31; O32; O38 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10961-011-9218-7 (text/html)
Access to full text is restricted to subscribers.

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:kap:jtecht:v:37:y:2012:i:5:p:696-714

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10961/PS2

DOI: 10.1007/s10961-011-9218-7

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 () and Springer Nature Abstracting and Indexing ().