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This paper systematically reviews and evaluates studies of research and innovation (R&I) to determine criteria that might be used to measure R&I in post-secondary environments. This review applies thorough and transparent procedures to the collection and analysis of evidence from research-oriented articles obtained from a variety of academic and fugitive sources disseminated between 1985 and the present.
The field of R&I is a complex one that presents many challenges for those who try to study and understand it. For example, the field lacks clear definitions of “research” and “innovation” and relies heavily on proxies or indicators. To address these challenges, the studies captured by this review are divided into three categories, based on their treatment of innovation indicators. The three categories are descriptive, analytical/critical and empirical. The focus of this review is on the empirical category because the articles included in this category tested the validity and reliability of the innovation indicators using statistical methods. Research trends are identified, based on frequency analysis of indicators. The methodological quality is assessed by an econometrician.
Based on this analysis, conclusions may be drawn regarding the study of R&I, including, but not limited to, the following:
Scientific production is often confused or combined with innovation. This leads to an underlying assumption that if a study measures scientific production, it will measure innovation. As a result, the majority of studies measure innovative production and fail to measure innovative processes (Salazar and Holbrook 2004).
Collaboration seems to be positively associated with innovation (Belderbos, Carree and Lokshin 2004; Gulbrandsen and Smeby 2005; Medda, Piga and Siegel 2005).
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