Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms

作者：

Highlights：

• A methodology for assessing the attributes of knowledge services is proposed.

• A data mining-based variable importance method is used for service-level scoring.

• Knowledge services from a public research institute in Korea are investigated.

• Product types of knowledge services boost firms’ business performance are assessed.

摘要

•A methodology for assessing the attributes of knowledge services is proposed.•A data mining-based variable importance method is used for service-level scoring.•Knowledge services from a public research institute in Korea are investigated.•Product types of knowledge services boost firms’ business performance are assessed.

论文关键词：Knowledge service assessment,Public research institute,Data mining,Variable importance,Relative contribution score

论文评审过程：Received 27 January 2017, Revised 28 April 2017, Accepted 28 April 2017, Available online 29 April 2017, Version of Record 8 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.057