Purpose
This paper aims to study the influence of innovation on micro, small and medium-sized enterprises (MSME) performance in Colombia through the 403 MSMES survey analysis. In particular, this paper measures the effect of participation in R&D alliances, product innovation and process innovation on it.
Design/methodology/approach
MSME performance is measured through a composite index, estimated through principal components analysis using polychoric correlations, which is based on eight self-reported assessments of MSME performance. Then, this measure of performance is related to MSME participation in R&D alliances and the product and process development stance of the MSME based on an adaptation of the Miles and Snow business classification scheme, by means of an ANOVA and a linear regression.
Findings
Colombian SMEs are not significantly benefitted from participation on R&D alliances. Instead, their performance appears to be dependent upon their internal innovation efforts directed to product development. Moreover, the results suggest that imitators get a performance almost as high as innovators.
Originality/value
Innovation activities in Colombian SMEs are carried out informally, as they are mostly uninterested to engage in R&D activities and to develop new products by own initiative. Moreover, few of them have an R&D department. In regard to technology, results suggest that almost half of SMEs are classified as followers, namely, they use the same technology as competitors.
No es factible dimensionar la calidad del Management empresarial por medio de los indicadores tradicionales financieros, éstos, por sí solos no permiten inferir con precisión acerca de los estados empresariales, en aspectos tan importantes como la eficiencia de la gestión empresarial. El concepto de calidad del management, es muy abstracto y en su cuantificación subyacen aspectos de áreas latentes, pero no medidas, dentro de una clasificación financiera estructural. El proceso propuesto en este trabajo, permite identificar, caracterizar y determinar asociaciones entre áreas acordes con los indicadores del modelo CAMEL, (C, Capital Adequacy; A, Assets Quality; M, Management; E, Earnings; L, Liquidity), como variables latentes, estimadas a partir de una técnica del Análisis Multivariado de Datos, conocida como Análisis del Factor Confirmatorio. Con dicho resultado se realiza la estimación de un Modelo Estocástico de Fronteras Eficientes (SFA), y un modelo de Análisis de Datos Envolvente (DEA), cuya comparación, análisis y contraste permiten evaluar la calidad del Management de un sector financiero colombiano.
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