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A dual knowledge perspective on the determinants of SME patenting

A dual knowledge perspective on the determinants of SME patenting <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>Considering that SMEs are widely recognized as important innovators and, in the past years, have registered increasing levels of patenting, the purpose of this paper is to unveil the impact of both internal and external knowledge sourcing on SME patenting performance and test the moderating role of formal plan for innovation and absorptive capacity.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The authors propose an econometric approach based on a Hurdle Count Data Model which allows the authors not only to overcome problems related to the count dependent variables often assuming zero values, but also to separate patent propensity from patent portfolio size.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>This methodology puts in evidence that an internal factor (i.e. employee skills for innovation) significantly influences SME patent propensity, while an external factor (i.e. open innovation with business partners) impacts SME portfolio size. Moreover, both formal plan for innovation and absorptive capacity play an important moderating role.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper embraces a knowledge perspective to investigate the determinants of SME patenting, which contributes to the knowledge-based view of the firm in the SME domain. Moreover, differently from most studies in the area of patenting which adopt a macro-level perspective and rely on secondary data, it assumes a firm-level approach and bases on primary data, which contributes to make it particularly distinctive.</jats:p> </jats:sec> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Management Decision CrossRef

A dual knowledge perspective on the determinants of SME patenting

Management Decision , Volume 55 (6): 1226-1247 – Jul 10, 2017

A dual knowledge perspective on the determinants of SME patenting


Abstract

<jats:sec>
<jats:title content-type="abstract-subheading">Purpose</jats:title>
<jats:p>Considering that SMEs are widely recognized as important innovators and, in the past years, have registered increasing levels of patenting, the purpose of this paper is to unveil the impact of both internal and external knowledge sourcing on SME patenting performance and test the moderating role of formal plan for innovation and absorptive capacity.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title>
<jats:p>The authors propose an econometric approach based on a Hurdle Count Data Model which allows the authors not only to overcome problems related to the count dependent variables often assuming zero values, but also to separate patent propensity from patent portfolio size.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Findings</jats:title>
<jats:p>This methodology puts in evidence that an internal factor (i.e. employee skills for innovation) significantly influences SME patent propensity, while an external factor (i.e. open innovation with business partners) impacts SME portfolio size. Moreover, both formal plan for innovation and absorptive capacity play an important moderating role.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Originality/value</jats:title>
<jats:p>This paper embraces a knowledge perspective to investigate the determinants of SME patenting, which contributes to the knowledge-based view of the firm in the SME domain. Moreover, differently from most studies in the area of patenting which adopt a macro-level perspective and rely on secondary data, it assumes a firm-level approach and bases on primary data, which contributes to make it particularly distinctive.</jats:p>
</jats:sec>

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Publisher
CrossRef
ISSN
0025-1747
DOI
10.1108/md-04-2016-0215
Publisher site
See Article on Publisher Site

Abstract

<jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>Considering that SMEs are widely recognized as important innovators and, in the past years, have registered increasing levels of patenting, the purpose of this paper is to unveil the impact of both internal and external knowledge sourcing on SME patenting performance and test the moderating role of formal plan for innovation and absorptive capacity.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The authors propose an econometric approach based on a Hurdle Count Data Model which allows the authors not only to overcome problems related to the count dependent variables often assuming zero values, but also to separate patent propensity from patent portfolio size.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>This methodology puts in evidence that an internal factor (i.e. employee skills for innovation) significantly influences SME patent propensity, while an external factor (i.e. open innovation with business partners) impacts SME portfolio size. Moreover, both formal plan for innovation and absorptive capacity play an important moderating role.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper embraces a knowledge perspective to investigate the determinants of SME patenting, which contributes to the knowledge-based view of the firm in the SME domain. Moreover, differently from most studies in the area of patenting which adopt a macro-level perspective and rely on secondary data, it assumes a firm-level approach and bases on primary data, which contributes to make it particularly distinctive.</jats:p> </jats:sec>

Journal

Management DecisionCrossRef

Published: Jul 10, 2017

References