在危机时期中小企业如何发现有希望的有效企业绩效战略的简单方法：Voronoi聚类和离群效应观点
Simple approaches on how to discover promising strategies for efficient enterprise performance, at time of crisis in the case of SMEs : Voronoi clustering and outlier effects perspective
摘要：
本文分析了金融危机前实施的企业创新活动与危机后衡量的企业绩效之间的联系。分析了在意大利证券交易所STAR市场部分上市的公司的相关数据。创新是通过2006-2007年有形和无形固定资产总额的投资水平来衡量的，而业绩是通过增长来衡量的-以销售额或总资产的变化来表示，-盈利能力-通过投资回报率或ROS的变化来衡量，-生产力-通过2008-2010年期间的资产周转率或销售额/雇员来衡量。感兴趣的变量进行分析和比较，通过统计技术和采用聚类分析。特别地，Voronoi曲面细分在变化的质心框架中实现。与大部分文献一致的是，我们发现，当企业进行创新时，其绩效行为并不是单一的。统计异常值是建议有效策略的最佳情况。简而言之，发现正的投资率是优选的。
英文摘要：
This paper analyzes the connection between innovation activities of companies -- implemented before a financial crisis -- and their performance -- measured after such a time of crisis. Pertinent data about companies listed in the STAR Market Segment of the Italian Stock Exchange is analyzed. Innovation is measured through the level of investments in total tangible and intangible fixed assets in 2006-2007, while performance is captured through growth -- expressed by variations of sales or of total assets, -- profitability -- through ROI or ROS evolution, - and productivity -- through asset turnover or sales/employee in the period 2008-2010. The variables of interest are analyzed and compared through statistical techniques and by adopting a cluster analysis. In particular, a Voronoi tessellation is implemented in a varying centroids framework. In accord with a large part of the literature, we find that the behavior of the performance of the companies is not univocal when they innovate. The statistical outliers are the best cases in order to suggest efficient strategies. In brief, it is found that a positive rate of investments is preferable.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
