Elsevier

Research Policy

Volume 35, Issue 2, March 2006, Pages 213-229
Research Policy

The fruit flies of innovations: A taxonomy of innovative small firms

https://doi.org/10.1016/j.respol.2005.09.007Get rights and content

Abstract

Taxonomies of patterns of innovation give a dominant role to large firms, and are often based on empirical studies that exclude micro firms. This paper proposes an empirical taxonomy of the innovative firms at the bottom of the size distribution, based on a new survey of 1234 small firms and micro firms in The Netherlands, in both manufacturing and services. These firms differ not only in their innovative activities, but also in their business practices and strategies, such as management attitude, planning and external orientation, that they use to achieve innovation. The taxonomy identifies four categories of small innovative firms: science-based, specialised suppliers, supplier-dominated and resource-intensive. It suggests a more diverse pattern of innovation of small firms than in Pavitt's [Pavitt, K., 1984. Sectoral patterns of technical change: towards a taxonomy and a theory. Research Policy 13 (6), 343–373] taxonomy, a pattern that is shared by both manufacturing and service firms. Finally, the research shows that taxonomies can be effectively used to map differences in the rates, sources and nature of innovation, with the differences in the business strategies of innovative firms.

Introduction

Fruit flies are a favourite object of study in evolutionary biology because things happen fast in their world. Their evolution can be observed over short time periods (Maynard Smith, 1996).1 By analogy, small firms operating at the margins of the business population may also be useful, in this case for the study of innovation. There is lots of “room” for innovation at the bottom of the size distribution, because new small firms are continually entering the market with new ideas for new products and processes (Audretsch, 1995). To be sure, often these new small firms are short-lived, exiting the market within few years of their entry. There is a high turnover of such firms (Caves, 1998). However, the small firms that do innovate successfully increase their chances of survival (Cefis and Marsili, 2003) and growth (de Jong et al., 2004). The new small firms that survive contribute to a large proportion of growth at the economy-wide level, in fact (Foster et al., 1998).

The behaviour of small firms can vary substantially. Some small firms survive by competing in a market niche, while others pursue more radical innovations and, eventually, themselves become market leaders. This diversity among new small firms cannot easily be reduced to a general model. Their variability demands a taxonomy, a classification system that can be used to identify the many variables that might be in play. Taxonomies are a regular part of evolutionary biology, and have contributed much to the study of fruit flies. The taxonomic approach is similarly beneficial to the study of small firms.

There has been little study done of the innovative behaviour of small and micro firms using taxonomies. The lack of an obvious taxonomy to apply in identifying the variables to be studied may be part of the problem. As well, it could be argued that there was so much variation among small firms that no clusters of common characteristics could be identified, although the validity of this assertion can easily be demonstrated by carrying out research.

The most commonly used taxonomy for identifying variables affecting innovation is Pavitt's, but Pavitt focused his study on sectors, although he examined firms. He found many commonalities amongst firms in the same sector, so much so that he spoke about industries: the chemical industry, for example. Pavitt's taxonomy focuses on large firms. Other studies that consider variables related to innovation in small firms do not pay much attention to sectors or industries.

This paper takes up the challenge of studying innovation patterns in small and micro firms. It develops a classification system for such firms, based on a study of small and micro firms in The Netherlands. The results of our research provide a useful snapshot of the innovative behaviour of small firms, but they also demonstrate that the classification system that we developed to analyse variables in the innovative behaviour of these firms is very similar to that developed by Pavitt, despite the different orientations of the research.

The paper begins with a theoretical discussion of several taxonomic schemes for studying innovation, which are summarized in a table at its conclusion. It then provides a discussion of other methodological issues that arose in developing a classification system for our study. Once these tasks have been done, the paper reports on the study. It concludes by discussing the relevance of Pavitt's taxonomy to the kind of study that we carried out, and it comments on the significance of the differences we found between his study and our own.

Section snippets

The problem of taxonomy

Taxonomy is the science of classification of organisms. Taxonomies have been widely applied to the study of technological change, because they offer a way to organize and understand the diversity of innovative patterns in firms and sectors (Pavitt, 1984, Archibugi, 2001). In Pavitt's words:

‘…[T]ruths about the real innovating firm will never be elegant, simple or easy to replicate. Certainly, it is just as wrong to criticise formal models in evolutionary economics, because they don’t help

Data

The data were collected as part of a survey performed by EIM Business & Policy Research, in April 2003, over a period of 3 weeks, by means of computer assisted telephone interviewing (CATI). All respondents were managers responsible for day-to-day business processes, usually the owner/entrepreneur, and otherwise a general manager. As the focus of the survey was on innovative firms, only respondents who had implemented at least one (product or process) innovation in the previous 3 years were

Method

Our analysis consists of three steps. We begin with a principal component analysis to reduce the number of dimensions in our dataset. Next, we apply cluster analysis techniques to build taxonomy of innovative firms. Finally, we use analysis of variance and χ2-tests to validate the taxonomy.

Descriptive statistics

Table 4 (column 1) reports the mean scores of the variables used in the analysis, for the full sample of firms. With regard to the output, process innovation is more widespread than product innovation: 92% of firms have implemented process innovations. In input, a larger proportion of firms dedicate time to innovation (69%), than those who reserve a budget for innovation (50%). The percentage is lower for firms that write down a formal plan for innovation (37%). As well, the presence of

Conclusions

Empirical taxonomies have proven to be a useful tool for understanding the diversity of innovative behaviour that can be observed across firms. In this paper, we have attempted at extending the taxonomic approach to small firms (below 100 employees), which are often excluded or under-represented in taxonomies of innovation. In particular, within this class of firms, our research covers a dominant proportion of micro firms, that is, firms with less than 10 employees. The class of micro firms is

Acknowledgements

We would like to thank Bo Carlsson, Piet Donselaar, Jan Fagerberg, Jacques Mairesse, Ammon Salter, Gerrit de Wit, two anonymous referees, and participants at the DRUID Summer Conference, June 2005, Copenhagen, for their helpful suggestions and comments.

References (75)

  • M. Miozzo et al.

    Internationalization of services: a technological perspective

    Technological Forecasting and Social Change

    (2001)
  • R.R. Nelson et al.

    In search of a useful theory of innovation

    Research Policy

    (1977)
  • K. Pavitt

    Sectoral patterns of technical change: towards a taxonomy and a theory

    Research Policy

    (1984)
  • H. Romijn et al.

    Determinants of innovation capability in small electronics and software firms in southeast England

    Research Policy

    (2002)
  • V. Souitaris

    Technological trajectories as moderators of firm-level determinants of innovations

    Research Policy

    (2002)
  • J.M. Utterback et al.

    A dynamic model of process and product innovation

    OMEGA

    (1975)
  • S.G. Winter

    Schumpeterian competition in alternative technological regimes

    Journal of Economic Behavior and Organization

    (1984)
  • W.J. Abernathy et al.

    Patterns of industrial innovation

    Technology Review

    (1978)
  • Z.J. Acs et al.

    Innovation and Small Firms

    (1990)
  • K. Appiah-Adu et al.

    Customer orientation and performance: a study of SMEs

    Management Decision

    (1998)
  • D. Archibugi

    Pavitt's taxonomy sixteen years on: a review article

    Economic Innovation and New Technology

    (2001)
  • S. Arvanitis et al.
  • K.L. Bangma et al.

    Kleinschalig ondernemen 2003: structuur en ontwikkeling van het Nederlandse MKB (small-scale entrepreneurship: structure and developments of Dutch SMEs)

    EIM

    (2003)
  • W. Bodewes et al.

    Innovatie in het midden- en kleinbedrijf’ (innovation in small- and medium sized enterprises)

  • S. Breschi et al.

    Technological regimes and Schumpeterian patterns of innovation

    Economic Journal

    (2000)
  • E. Brouwer et al.

    Firm size, small business presence and sales of innovative products: a micro-econometric analysis

    Small Business Economics

    (1996)
  • R.E. Caves

    Industrial organization and new findings on the turnover and mobility of firms

    Journal of Economic Literature

    (1998)
  • R.E. Caves et al.

    From entry barriers to mobility barriers: conjectural decisions and contrived deterrence to new competition

    The Quarterly Journal of Economics

    (1977)
  • E. Cefis et al.
    (2003)
  • S. Cesaratto et al.

    Technological profiles and economic performance in the Italian manufacturing sector

    Economic Innovation and New Technology

    (1993)
  • H. Chesbrough

    Open Innovation

    (2003)
  • J.P.J. de Jong

    Midden- en Kleinbedrijf terughoudend met innovatie (small and medium-sized firms hesitate to invest in innovation)

    EIM

    (2002)
  • J.P.J. de Jong et al.

    Effecten van innovatie in kleine bedrijven (effects of innovation in small firms)

    M&O

    (2004)
  • F. Delmar et al.

    Does business planning facilitate the development of new ventures?

    Strategic Management Journal

    (2003)
  • G. Dosi

    Sources, procedures and microeconomic effects of innovation

    Journal of Economic Literature

    (1988)
  • R. Evangelista

    Sectoral patterns of technological change in services

    Economics of Innovation and New Technology

    (2000)
  • B.S. Everitt

    Cluster Analysis

    (1993)
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