Exploring the relative impact of R&D and operational efficiency on performance: A sequential regression-neural network approach

作者：

Highlights：

• A combined OLSMR-BPNN is a promising paradigm for explorative analysis.

• R&D and efficiency are significant factors for manufacturing firms.

• R&D and efficiency are even more influential for the above-average performers.

• Tech. innovation and operational excellence are crucial performance drivers.

摘要

•A combined OLSMR-BPNN is a promising paradigm for explorative analysis.•R&D and efficiency are significant factors for manufacturing firms.•R&D and efficiency are even more influential for the above-average performers.•Tech. innovation and operational excellence are crucial performance drivers.

论文关键词：Market value,Neural network,Operational efficiency,R&D intensity,Tobin's Q

论文评审过程：Received 23 February 2019, Revised 16 May 2019, Accepted 11 July 2019, Available online 12 July 2019, Version of Record 16 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.07.026