A data science and open source software approach to analytics for strategic sourcing
作者：
Highlights：
• Demonstrates how data science and open source software can be exploited to meet growing demand of data-driven decisions across organizational processes.
• Application of the presented data science approach proved simpler and faster; reducing required sourcing assessment time from 30 to 90 days to less than an hour.
• Demonstrates the efficacy of a theory driven data science method in a practical setting and then makes the tool available to other users via open source software.
摘要
•Demonstrates how data science and open source software can be exploited to meet growing demand of data-driven decisions across organizational processes.•Application of the presented data science approach proved simpler and faster; reducing required sourcing assessment time from 30 to 90 days to less than an hour.•Demonstrates the efficacy of a theory driven data science method in a practical setting and then makes the tool available to other users via open source software.
论文关键词：Data science,Strategic sourcing,Purchasing portfolio,Supply chain management,Open source,R programming,Decision support
论文评审过程：Received 23 July 2019, Revised 13 May 2020, Accepted 31 May 2020, Available online 18 June 2020, Version of Record 18 June 2020.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102167
