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  • 标题:Toward An integrative CSDS based model of industrial R&D division efficiency
  • 本地全文:下载
  • 作者:Florian Pereme ; Bertrand Rose ; Virginie Goepp
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:12
  • 页码:1785-1790
  • DOI:10.1016/j.ifacol.2016.07.841
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Integrating Research with Development (R & D) by industrial firms in the early 20th century was the first step of industrial R&D. Industrial R&D, is commonly considered as a high resource consumer, in time, money and human work, with a high risk of non-return on investment. So, measuring productivity and added value of R&D division has become a major issue. We are interested in measuring global efficiency and productivity of R&D division, in an industrial context. The objective is to switch quickly from Research results to product prototyping, to match with corporate strategies of R&D assets valorization, with a set of KPI, dedicated to the R&D project managers Therefore, we propose a generic adaptive model of R&D efficiency measurement based on an extending CSDS model. It is built through coupling of top-down and bottom-up approaches and consists in a matrix with two axis: the first one characterizing the Knowledge Management, and the second one on the way to measure it.
  • 关键词:Industrial R&DMetricsInnovationCreativityCSDS
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