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Differentiation of innovation behavior of manufacturing firms in the new member states: Cluster analysis on firm-level data

机译:新成员国制造企业创新行为的差异化:企业层面数据的聚类分析

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摘要

This paper investigates the differences in innovation behaviour, i.e. differences in innovation sources and innovation effects, among manufacturing firms in three NMS: the Czech Republic, Hungary and Poland. It is based on a survey of firms operating in four manufacturing industries: food and beverages, automotive, pharmaceuticals and electronics. The paper takes into account: innovation inputs in enterprises, cooperation among firms in R&D activities, the benefits of cooperation with business partners and innovation effects (innovation outputs and international competitiveness of firms' products and technology) in the three countries. After employing cluster analysis, five types of innovation patterns were detected. The paper characterises and compares these innovation patterns, highlighting differences and similarities. The paper shows that external knowledge plays an important role in innovation activities in NMS firms. The ability to explore cooperation with business partners and the benefits of using external knowledge are determined by in-house innovation activities, notably R&D intensity.
机译:本文研究了捷克,匈牙利和波兰这三个NMS中制造企业之间创新行为的差异,即创新来源和创新效果的差异。它基于对四个制造行业中的公司的调查:食品和饮料,汽车,制药和电子。该文件考虑了:这三个国家的企业创新投入,企业在研发活动中的合作,与商业伙伴合作的好处以及创新效应(企业产品和技术的创新产出以及国际竞争力)。在进行聚类分析后,发现了五种类型的创新模式。本文对这些创新模式进行了表征和比较,突出了差异和相似之处。本文表明,外部知识在NMS公司的创新活动中起着重要作用。与业务伙伴探索合作的能力以及使用外部知识的收益取决于内部创新活动,特别是研发强度。

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