SMEs’ Degree of Openness: The Case of Manufacturing Industries

This paper clusters SMEs based on their degree of openness. In addition, it explores both the internal and external determinants of the different clusters obtained. Based on a survey of 1214 firms in manufacturing industries and using both the dimensions of openness, breadth and depth, we find that SMEs could be clustered in four classes, depending on their degree of openness. We find that SMEs could adopt a closed, an open, an interactive or a user approach to innovation. With respect to the determinants of different classes of SMEs, the results of the logistic regression model, developed in this study, show variables such as national and regional proximities that account for explaining the likelihood that SMEs will be in a more open cluster rather than in a low open cluster. Also, this quantitative study shows that external obstacles to innovation may lead these SMEs from a closed approach to innovation to an interactive, user, or open approach to innovation. Finally, we find that the age of the firm is important in explaining the likelihood that SMEs will be in an open cluster rather than in a closed cluster.

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Main Authors: Othman Idrissia,Moulay, Amaraa,Nabil, Landrya,Réjean
Format: Digital revista
Language:English
Published: Universidad Alberto Hurtado. Facultad de Economía y Negocios 2012
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242012000100013
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spelling oai:scielo:S0718-272420120001000132012-05-14SMEs’ Degree of Openness: The Case of Manufacturing IndustriesOthman Idrissia,MoulayAmaraa,NabilLandrya,Réjean SMEs open innovation openness external sources of information cluster analysis This paper clusters SMEs based on their degree of openness. In addition, it explores both the internal and external determinants of the different clusters obtained. Based on a survey of 1214 firms in manufacturing industries and using both the dimensions of openness, breadth and depth, we find that SMEs could be clustered in four classes, depending on their degree of openness. We find that SMEs could adopt a closed, an open, an interactive or a user approach to innovation. With respect to the determinants of different classes of SMEs, the results of the logistic regression model, developed in this study, show variables such as national and regional proximities that account for explaining the likelihood that SMEs will be in a more open cluster rather than in a low open cluster. Also, this quantitative study shows that external obstacles to innovation may lead these SMEs from a closed approach to innovation to an interactive, user, or open approach to innovation. Finally, we find that the age of the firm is important in explaining the likelihood that SMEs will be in an open cluster rather than in a closed cluster.info:eu-repo/semantics/openAccessUniversidad Alberto Hurtado. Facultad de Economía y NegociosJournal of technology management & innovation v.7 n.1 20122012-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242012000100013en10.4067/S0718-27242012000100013
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country Chile
countrycode CL
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region America del Sur
libraryname SciELO
language English
format Digital
author Othman Idrissia,Moulay
Amaraa,Nabil
Landrya,Réjean
spellingShingle Othman Idrissia,Moulay
Amaraa,Nabil
Landrya,Réjean
SMEs’ Degree of Openness: The Case of Manufacturing Industries
author_facet Othman Idrissia,Moulay
Amaraa,Nabil
Landrya,Réjean
author_sort Othman Idrissia,Moulay
title SMEs’ Degree of Openness: The Case of Manufacturing Industries
title_short SMEs’ Degree of Openness: The Case of Manufacturing Industries
title_full SMEs’ Degree of Openness: The Case of Manufacturing Industries
title_fullStr SMEs’ Degree of Openness: The Case of Manufacturing Industries
title_full_unstemmed SMEs’ Degree of Openness: The Case of Manufacturing Industries
title_sort smes’ degree of openness: the case of manufacturing industries
description This paper clusters SMEs based on their degree of openness. In addition, it explores both the internal and external determinants of the different clusters obtained. Based on a survey of 1214 firms in manufacturing industries and using both the dimensions of openness, breadth and depth, we find that SMEs could be clustered in four classes, depending on their degree of openness. We find that SMEs could adopt a closed, an open, an interactive or a user approach to innovation. With respect to the determinants of different classes of SMEs, the results of the logistic regression model, developed in this study, show variables such as national and regional proximities that account for explaining the likelihood that SMEs will be in a more open cluster rather than in a low open cluster. Also, this quantitative study shows that external obstacles to innovation may lead these SMEs from a closed approach to innovation to an interactive, user, or open approach to innovation. Finally, we find that the age of the firm is important in explaining the likelihood that SMEs will be in an open cluster rather than in a closed cluster.
publisher Universidad Alberto Hurtado. Facultad de Economía y Negocios
publishDate 2012
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242012000100013
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