You can’t manage right what you can’t measure well: Technological innovation efficiency

Claudio Cruz-Cázares, Cristina Bayona-Sáez and Teresa García-Marco

Research Policy, 2013, vol. 42, issue 6, 1239-1250

Abstract: This paper proposes a new approach to tackle the innovation–performance relationship. It addresses the, so far, mixed and inconclusive results of studies analyzing this relationship. We argue that the undifferentiated use of innovation inputs and outputs to measure firm innovativeness is not without problems, and that, from a productive perspective, they should be simultaneously analyzed. This study follows a two-stage empirical analysis using a sample of Spanish manufacturing firms for the period 1992–2005. By examining two inputs and two outputs of the innovation process in the first stage, we estimate technological innovation efficiency by means of an intertemporal data envelopment analysis (DEA) bootstrap and also observe the yearly efficiency changes based on a global Malmquist index. In the second stage we analyze the effect of technological innovation efficiency on firm performance through a generalized method of moments (GMM) system. The results support our arguments that the best measurement of outcomes of technological innovations is through the efficiency with which they are developed. In addition, we test the moderating effect of technological intensity level and firm size on the efficiency–performance relationship.

Keywords: Technological innovation efficiency; DEA bootstrap; Global Malmquist index; Firm performance (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:42:y:2013:i:6:p:1239-1250

DOI: 10.1016/j.respol.2013.03.012

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