Elsevier

Research Policy

Volume 39, Issue 1, February 2010, Pages 47-54
Research Policy

Absorptive capacity and the reach of collaboration in high technology small firms

https://doi.org/10.1016/j.respol.2009.10.003Get rights and content

Abstract

The current paper is concerned with exploring the role of absorptive capacity in extending the reach of innovation-related collaboration in high technology small firms. Drawing on survey data from a sample of 316 Dutch high-tech small firms, engaged in 1245 collaborations, we explore the relationship between R&D expenditure and distance to collaboration partners. In general terms, we find most partners to be ‘local’. However, controlling for a variety of potential influences, higher R&D expenditure is positively related to collaboration with more distant organizations. The implications of our results for policy, practice and future research are discussed.

Introduction

In the academic literature, there is increasing consensus that a firm's embeddedness in a network of interfirm relations matters for its economic and innovative performance (Gilsing et al., 2008). Simply put, few firms appear able to innovate alone (Tether, 2002). Moreover, and for some time, the benefits of collaborative innovation have been thought to apply particularly to small firms (e.g. Rothwell and Dodgson, 1991). The caricature of small firms as behaviourally advantaged but materially constrained (Nooteboom, 1994, Rothwell, 1983) has frequently seen networks presented as the logical means to ameliorating resources constraints, while preserving behavioural advantages (Hewitt-Dundas, 2006). Certainly, there is plenty of empirical evidence to support the importance of involvement in networks for innovation in small firms – from the classic accounts of the new industrial districts of the Third Italy (e.g. Becattini, 1978) to more recent empirical studies (e.g. Fukugawa, 2006). Innovation-related collaboration has also attracted the attention of policy makers. Bougrain and Haudeville (2002), for instance, note a growing preference for network promotion policies (over those that provide direct financial assistance) within OECD economies. Undoubtedly, much of the inspiration has been provided by the systems of innovation literature (e.g. Lundvall, 1992). The suggestion that underinvestment in R&D may not solely be a consequence of market failure, but may also be caused by a lack of interaction between innovation actors, has proven to be particularly attractive to European policymakers struggling to meet the Barcelona targets.1

A central feature of the more popular expositions of innovation systems is the treatment of ‘space’. Whether systems are bounded at the local, regional or national level, the implication is that proximity matters. Empirically, studies typically indicate a distance decay function in communication, of varying extent (Howells, 1999). In this sense, the importance of proximity is thought to ‘reflect the linguistic and geographic constraints imposed by person-embodied exchanges and transfers of tacit knowledge’ (Patel and Pavitt, 1994: p. 218). Geographical proximity makes it more likely that firms will encounter potential collaboration partners and, after the collaboration takes off, it enables personal and more frequent contacts easing the transfer of tacit knowledge and offering better opportunities to resolve emerging conflicts. For policy makers the proposed significance of geographical proximity has been a key argument in the implementation of popular policies focussing on geographical clusters (Fritsch and Stephan, 2005).2

More recently, however, the necessity of geographical proximity has been questioned (e.g. Torré and Rallet, 2005). Underpinning this, is the regularity with which empirical studies of innovation-related cooperation record a higher incidence of extra-local linkages over local linkages; suggesting that firms draw from innovation sources at a variety of spatial scales (e.g. Arndt and Sternberg, 2000, Kaufmann and Todtling, 2000). However, the ability to identify partners, to transfer knowledge and resources and to manage relationships at a distance is unlikely to be easily acquired. Rather, firms are likely to have to make conscious investments in such capabilities – principal amongst which will be investments in absorptive capacity. Here too, small firms may be particularly disadvantaged. Limited R&D expenditures and a focus on exploitation rather than exploration may lead small firms to be more dependent upon partners in their immediate locale.

The current paper adds to the literature by exploring the connection between firms’ absorptive capacity and the geographical distance to their collaboration partners. This connection has been proposed before (Torré, 2008) but has not been demonstrated empirically. As absorptive capacity is a contingent factor in opportunity recognition, alliance formation and the accumulation of resources available through social networks (Soh and Roberts, 2005), we hypothesise that investment in absorptive capacity may help compensate for a lack of geographical proximity in innovation-related collaboration. Drawing on survey data of 316 Dutch high-tech small firms, our hypothesis is confirmed, suggesting a different emphasis for both business and industrial policy. We hereafter elaborate on our hypothesis, data, methods and results, and conclusions and implications.

Section snippets

Cognitive proximity, absorptive capacity and reach

In a well received review, Boschma (2005) argues that other forms of proximity may frequently substitute for geographical proximity. He distinguishes between five forms of proximity – geographical, cognitive, organizational, social and institutional. Boschma suggests that the importance of geographical proximity cannot be assessed in isolation, but should always be examined in relation to other dimensions of proximity that may provide alternative solutions to the problem of communication and

Data

We test our hypothesis drawing on data collected via a survey of high-tech small firms in the Netherlands. While these firms are the primary target of most innovation policy instruments their actual innovation features are poorly identified in standard Dutch statistics. Therefore, in the spring of 2006 the Dutch Ministry of Economic Affairs commissioned a survey to map their innovation and performance characteristics. We were able to access its database for our current analytical purposes.

The

Results

Since our data have a nested structure (multiple partners per firm), we engaged in multilevel regressions to test our hypothesis. To examine if our data call for multilevel modeling, we conducted various a priori tests as recommended by Snijders and Bosker (1999). The intraclass correlation coefficient – indicating the share of variance in geographical distance that is due to the fact that firms identified multiple partners – was 0.17 and positive, while one-way analysis of variance revealed

Discussion

It is often taken for granted that geographical proximity is necessary for successful collaboration in innovation projects – most especially for small firms. Drawing on recent literature, we noted that this view may be challenged, i.e. geographical distance can be compensated by other forms of proximity. Principal amongst these is cognitive proximity, which may be achieved as a direct outcome of investments in firms’ absorptive capacities. Accordingly, we tested the hypothesis that a firm's

Acknowledgement

We are grateful to Henk van Hoorn for his contributions to prepare and analyse the data.

References (48)

  • T. Xia et al.

    From capability to connectivity—absorptive capacity and exploratory alliances in biopharmaceutical firms: a US–Europe comparison

    Technovation

    (2008)
  • O. Arndt et al.

    Do manufacturing firms profit from intraregional innovation linkages? An empirical based answer

    European Planning Studies

    (2000)
  • G. Becattini

    The development of light industry in Tuscany

    Economic Notes

    (1978)
  • R.A. Boschma

    Proximity and innovation: a critical assessment

    Regional Studies

    (2005)
  • F. Bougrain et al.

    Innovation, collaboration and SMEs’ internal research capacities

    Research Policy

    (2002)
  • H. Chesbrough

    Open Innovation: The New Imperative for Creating and Profiting from Technology

    (2003)
  • W. Cohen et al.

    Absorptive capacity: a new perspective on learning and innovation

    Administrative Science Quarterly

    (1990)
  • B. Crépon et al.

    Research, innovation and productivity: an econometric analysis at the firm level

    Economics of Innovation and New Technology

    (1998)
  • I. Drejer et al.

    Location and collaboration: manufacturing firms’ use of knowledge intensive services in product innovation

    European Planning Studies

    (2005)
  • I. Drejer et al.

    Searching near and far: determinants of innovative firms’ propensity to collaborate across geographical distance

    Industry and Innovation

    (2007)
  • EIM

    Technologiebedrijven in het MKB (High-tech Firms in the SME Population)

    (2006)
  • EIRMA, 2004. Technology Access for Open Innovation, Working Group Report WG63. EIRMA,...
  • European Commission

    The Sixth Framework Programme in Brief

    (2002)
  • M. Feldman

    Knowledge complementarity and innovation

    Small Business Economics

    (1994)
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