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Behavioural patterns towards innovation: the case of European rural regions

机译:创新行为模式:以欧洲农村地区为例

摘要

Contrarily to big firms, small firms interact intensively with the territory in which they locate, as a signal of their embeddedness. The particular tight links they develop with their external environment reduce uncertainty risks. In general, for them, geographical and sociological proximities constitute the main sources of assets and information determining their perspectives and strategic choices. The present study uses a set of enquires, developed within the framework of a European research project, with the purpose of modelling the determinants of innovation in a bi-univocal relationship of interdependencies between small firms and their environmental contexts. We dealt mainly with lagging regions and a panel of 323 firms from the agro-food sector, located in 11 different European rural regions from six different countries. Using a set of variables able to characterise the innovative processes and through the application of k-mean clusters statistical analysis, it was possible to detect behavioural patterns towards innovation among those firms. Non-innovators, pioneer innovators and follower innovators were the identified patterns. Using cross tabs analysis between those patterns and a set of attributes dealing with the importance of human capital, the profile of each group were drawn.
机译:与大公司相反,小公司与它们所在的地区进行了激烈的互动,这表明了它们的嵌入性。他们与外部环境建立的特别紧密的联系减少了不确定性风险。通常,对于他们来说,地理位置和社会学上的邻近性是决定其观点和战略选择的主要资产和信息来源。本研究使用一组在欧洲研究项目框架内开发的查询,目的是在小企业与其环境背景之间相互依存的双向关系中建模创新的决定因素。我们主要处理落后地区和来自农业食品领域的323家公司,这些公司位于六个不同国家的11个不同的欧洲农村地区。使用一组能够表征创新过程的变量,并通过应用k均值聚类统计分析,就可以发现这些公司中创新行为模式。确定的模式是非创新者,先驱创新者和追随者创新者。使用这些模式之间的交叉表分析和一组涉及人力资本重要性的属性,得出了每个组的概况。

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