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Evaluating innovation development among Brazilian micro and small businesses in view of management level: Insights from the local innovation agents program

机译:鉴于管理水平,评估巴西微小企业的创新发展:本地创新代理计划的见解

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This research aims to analyze management and innovation patterns among micro and small businesses (MSBs) that participated during 2015-2016 in the Local Innovation Agents (LIA) Program from the Brazilian Micro and Small Business Support Service (SEBRAE). Complemented by factor analyses, two-step cluster analysis was applied on 6674 MSBs' management dimensions to identify group patterns and statistical tests explored further cluster differences regarding management and innovation dimensions, besides innovation improvement throughout the program. Results were multifaceted. First, complementary factor analyses showed that management dimensions compose one factor with similar loadings, thus in accordance with their predictive importance found in the cluster analysis. Second, two main clusters were identified in terms of management level, which also presented significant differences regarding innovation levels. Third, considering a before-and-after self-comparison, by and large, innovation was significantly improved by both clusters. Fourth, the highest developed cluster presented higher improvement rates in most innovation dimensions, thus benefiting more from the program, except for two marketing-related innovations, which improved similarly by both clusters. Overall, even though the LIA Program was effective to leverage MSBs innovation, higher efficiency rates would be bounded to fewer participating MSBs, and hence policy planners should be aware of this tradeoff.
机译:本研究旨在分析2015 - 2016年在巴西微型和小型企业支持服务(Sebrae)的地方创新代理(LIA)计划中参加的微小企业(MSB)之间的管理和创新模式。因子分析补充说,在6674 MSBS的管理尺寸上应用了两步聚类分析,以识别组模式,统计测试探讨了管理和创新维度的进一步集群差异,除了整个计划的创新改进。结果是多方面的。首先,互补因子分析表明,管理尺寸构成一个具有相似载荷的一个因素,从而根据他们在集群分析中发现的预测重要性。其次,在管理水平方面确定了两个主要集群,这也提出了关于创新层面的显着差异。第三,考虑到和底层的自我比较,通过和大,这两个集群都显着改善了创新。第四,最高发达的集群在大多数创新方面提出了更高的改善率,从而使更多来自这些营销有关的创新除了两个营销有关的创新,这与两个群集相似。总的来说,即使LIA计划有效利用MSBS创新,较高的效率率将偏向于较少的参与的MSB,因此政策规划者应该了解这一权衡。

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