The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies
Jaime Gómez and
Pilar Vargas
Research Policy, 2009, vol. 38, issue 1, 106-119
Abstract:
This paper investigates the factors affecting the multiple adoption of new process technologies in manufacturing. We focus our attention on the effect of both financial resources and absorptive capacity on the decision to introduce the technology. We argue in favour of a negative effect of financial constraints and provide reasons for a differential effect of internal and external R&D on innovation adoption. Additionally, the methodology allows us to consider the possible complementarities arising when firms adopt several new process technologies. Our results show that financial constraints are dependent on the technology analyzed, whereas only internal R&D investments are strong predictors of adoption. We are also able to present evidence that the three technologies analyzed (numerically controlled machines, computer aided design and robotics) are, to some extent, complementary.
Keywords: Diffusion; Adoption; Process; technologies; Absorptive; capacity; Internal; R&D (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0048-7333(08)00232-1
Full text for ScienceDirect subscribers only
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:eee:respol:v:38:y:2009:i:1:p:106-119
Access Statistics for this article
Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray
More articles in Research Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().