Elsevier

Research Policy

Volume 44, Issue 10, December 2015, Pages 1887-1901
Research Policy

Persistence of various types of innovation analyzed and explained

https://doi.org/10.1016/j.respol.2015.06.001Get rights and content

Highlights

  • We analyzed the persistency in innovation behavior of firms, using a panel of Community Innovation Survey in Sweden, which spans over a decade.

  • We distinguish between product, process, organizational, and marketing innovations.

  • There is a variation in the degree of persistency among the four types of innovation.

  • Product Innovation shows the strongest persistency among all four types of innovation.

  • Marketing Innovation shows the least persistency.

Abstract

This paper analyzes the persistency in innovation behavior of firms. Using five waves of the Community Innovation Survey in Sweden, we have traced the innovative behavior of firms over a ten-year period, i.e., between 2002 and 2012. We distinguish between four types of innovations: process, product, marketing, and organizational innovations. First, using transition probability matrix, we found evidence of (unconditional) state dependence in all types of innovation, with product innovators having the strongest persistent behavior. Second, using a dynamic probit model, we found evidence of “true” state dependency among all types of innovations, except marketing innovators. Once again, the strongest persistency was found for product innovators.

Introduction

The performance of firms even in the same industry is highly skewed and this heterogeneity in performance is to a high extent persistent over time.1 Innovation can be seen as one major determinant of the performance of firms, which would imply that the observed heterogeneity in performance among firms actually mirrors persistent differences in innovation behavior among firms (Geroski et al., 1997). This implies that in every industry we should be able to observe firms that innovate persistently, firms that innovate now and then and firms that never innovate. Although evidence shows that firms tend to innovate persistently in high-tech industries, e.g., semiconductor (Jelinek and Schoonhoven, 1990), it is still interesting to understand what factors induces firms to choose strategies implying continuous, intermittent or no innovation (Brown and Eisenhardt, 1998).

Innovation is here seen as the purposeful result of the ability of firms to generate new knowledge and their decisions to apply it to new products and product varieties, processes, organizational designs, and combinations of inputs and markets (Fagerberg et al., 2005). The persistence of innovation highlights the influence of past and current innovation on future innovation. It has become an important topic in applied industrial economics since the publication of a seminal paper by Geroski et al. (1997), while already pointed out in the key contribution of “Innovation Marathon” (Jelinek and Schoonhoven, 1990). The line of empirical research that followed gave rise to an increased conviction that the competitive advantage of firms mainly depends on their ability to innovate over longer periods of time (Le Bas and Scellato, 2014). However, this ability is a function of environmental, organizational, process and managerial characteristics of firms. We still have a limited understanding of the long-term determinants of the innovation behavior of firms including their investments in different types of innovation, such as products, processes, organization and markets (Tavassoli, 2015). To increase our understanding of these issues, we in this paper try to answer the following five related questions: Is innovation persistent at the firm level? Is this true for all types of innovation? Does the degree of persistency the same or differ from each other in different types of innovation? If innovation persistence exists, is it a “true” or “spurious” one? Are the drivers of persistency the same for all types of innovation?

Why are these questions interesting and important? Persistence in innovation has far-reaching effects for various fields of economics dealing with innovation, for the strategic management and operation of innovation processes and for public policy focusing innovation (Peters, 2009). Firstly, they are important from the point of view of economic theory. A proven persistence would validate endogenous growth theory, since according to that theory sustainable economic growth is a function of firms' capacity to accumulate economically useful technological knowledge. However, different endogenous growth models make different fundamental assumptions about the determinants of the innovation performance of firms. In the Romer model, it is assumed that innovation mainly is persistent at the firm level and the cumulative knowledge creation are the fundamental sources of innovation and economic growth (Romer, 1990).2 Secondly, from a strategic management perspective persistence of innovation, i.e., a continuous loop of innovation, supplies a fundamental building block of maintained competitive advantage and long-lived inter-firm performance differences (Ganter and Hecker, 2013). Thirdly, knowledge about the drivers of firms' innovation behavior is critical for policy makers. If innovation is persistent in the sense that innovation drives innovation, policies designed to support innovation can be expected to have more far-reaching effects since they not only affect innovation in the current period but also in future periods and thus in principle should be able to raise innovation to new levels. Thus, true innovation persistence implies the existence of inter-temporal and inter-generational spillovers, which provides a foundation for the evaluation public programs designed to stimulate innovation. The existence of true and strong innovation persistence also suggests that innovation policies should avoid stimulating the start-up of firms and firms entering new markets. On the other hand, if the observed persistence is the result of other underlying firm characteristics, policy makers should rather try to stimulate those underlying characteristics of firms that drive innovation.

The purpose of this paper is to analyze persistent patterns of innovation for different types of innovation using Swedish data from five waves of Community Innovation Surveys and to test possible explanations for proven persistence. The contribution of this paper is as follows: (i) moving beyond commonly used technology-related innovation and instead incorporating four types of innovation based on actual Schumpeterian classification, i.e., product, process, marketing, and organizational innovations in an economy-wide setting,3 (ii) theoretically and empirically distinguish between the persistency of four Schumpeterian types of innovation and showing that these four types do not behaving with the same degree of persistency,4 (iii) using a long panel of Community Innovation Survey (CIS) data and tracing the innovative behavior of firms during ten years period (this is, to our knowledge, the longest panel of CIS that is constructed), and (iv) moving beyond the usual manufacturing sector and including the service sector in the analysis as well.5

The rest of the paper is organized as follows. Section 2 starts with the general theoretical causes of innovation persistence (Section 2.1) and then provides arguments specifically for each types of innovation (Section 2.2). Section 3 offers a short overview on empirical evidence concerning the persistency of innovation. Section 4 shows the data. Section 5 investigates whether there is a persistency in various types of innovation, while Section 6 analyses whether it is a true persistency or not and distinguishes between the degree of persistency in various types of innovation. Section 7 concludes.

Section snippets

The general underlying theoretical causes of innovation persistence

The underlying theoretical causes of innovation persistence are not well understood to put it mildly. And when it is discussed, it is mostly biased toward technological innovation and non-technological innovations are less discussed (Le Bas and Scellato, 2014). However, by consulting a few different fields of economics and also management, we may at least be able to present some general causes to why innovation might demonstrate state dependence over time, no matter which innovation type is in

Empirical evidence on persistency of innovation

Earlier empirical studies on innovation persistence used patent data as the measure of innovation and persistency of innovation. More recently, with the availability of Community Innovation Survey (CIS), it has become possible to measure innovation more directly and hence persistence studies used these data in various countries. Thanks to CIS, it has become also possible to go beyond product innovation and incorporate various types of innovation (although the empirical studies are still rare on

Data

The innovation related data in this study comes from five waves of the Swedish Community Innovation Survey (CIS) in 2004, 2006, 2008, 2010, and 2012. The CIS 2004 covers the period 2002–2004 and CIS 2006 covers the period 2004–2006 and so on, hence using the five ways, provide us with information about innovation activities of firms over a ten years period, i.e., from 2002 to 2012. In all five waves, there is information concerning product and process innovations as well as to innovation inputs

Is there a persistency in firms’ innovation (state dependency) ?

Inorder to investigate whether persistency exist or not (and if yes, to what extent), we used transition probabilities matrix (TPM). TPM reveals the information about the probability of transitioning from one state to another. In our case, “state” is the innovation status of firms in each period, i.e., being an innovator (INNO) or being a non-innovator (NON-INNO). In particular, let a sequence of random variables {Y1,Y2,...,Yn} be a Markov chain. Then the TPM is formulated as follows:TPM=[p11p12

Estimation strategy

Two mechanisms can explain persistence in innovation of firms. Innovation persistence may be the result of “true” state dependence and/or “spurious” state dependence (Heckman, 1981a, Heckman, 1981b). True state dependence represents a casual behavioral relationship or if we like a path-dependent process, where the decision to innovate in one period increases the probability to decide and to succeed to innovate in the following period. Spurious state dependence, on the other hand, prevails when

Conclusions

In this paper we investigated whether persistency exist in innovation of firms. Following Schumpeter, we distinguished between four types of innovation, while employing a long panel of Community Innovation Survey, which enabled us to trace the innovative behavior of firms in Sweden over a ten years period. First, using transition probability matrix, we found the persistency behavior in all types of innovation. However, the degree of persistency is not equal among various types of innovation,

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