英文标题：
《Exploring how innovation strategies at time of crisis influence
  performance: a cluster analysis perspective》
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作者：
Marcel Ausloos, Francesca Bartolacci, Nicola G. Castellano, and Roy
  Cerqueti
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最新提交年份：
2018
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英文摘要：
  This paper analyzes the connection between innovation activities of companies -- implemented before crisis -- and their performance -- measured at time of crisis. The companies listed in the STAR Market Segment of the Italian Stock Exchange are 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, total assets and employees -- profitability -- through ROI or ROS -- and productivity -- through asset turnover or sales per employee in the period 2008-2010. The variables of interest are analyzed and compared through statistical techniques and by adopting cluster analysis. In particular, a Voronoi tessellation is also 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.
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中文摘要：
本文分析了企业在危机前实施的创新活动与危机时衡量的绩效之间的关系。对意大利证券交易所明星市场的上市公司进行了分析。创新是通过2006-2007年有形和无形固定资产投资总额来衡量的，而绩效则是通过增长来衡量的——增长表现为销售额、总资产和员工的变化——盈利能力——通过ROI或ROS——以及生产率——通过2008-2010年期间的资产周转率或每位员工的销售额。通过统计技术和聚类分析，对感兴趣的变量进行分析和比较。特别是，Voronoi细分也在不同的质心框架中实现。与大部分文献一致，我们发现企业在创新时的绩效行为并不是单一的。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Statistical Finance        统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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