On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions

作者：

Highlights：

• Consensual fuzzy sets and rules are used to model innovation risk in large pharmaceutical laboratories.

• We combine expert knowledge with large and diverse datasets and embed it into the fuzzy inference systems.

• The fuzzy model captures the financial and pipeline sides of innovation risk of firms operating in uncertain environments.

• The model is used to evaluate innovation risk in a sample of 31 large pharmaceutical laboratories in the period 2008–2013.

摘要

•Consensual fuzzy sets and rules are used to model innovation risk in large pharmaceutical laboratories.•We combine expert knowledge with large and diverse datasets and embed it into the fuzzy inference systems.•The fuzzy model captures the financial and pipeline sides of innovation risk of firms operating in uncertain environments.•The model is used to evaluate innovation risk in a sample of 31 large pharmaceutical laboratories in the period 2008–2013.

论文关键词：Fuzzy inference systems,2-tuple-based method,Innovation risk,R&D,Pharmaceutical laboratories

论文评审过程：Received 15 August 2017, Revised 13 July 2019, Accepted 7 August 2019, Available online 11 August 2019, Version of Record 12 September 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101703