From buzz to bucks: The impact of social media opinions on the locus of innovation

作者：

Highlights：

• Theorizes about the impact of valence and volume of UGC on firm innovation investment.

• Empirical study conducted with 886 listed firms and their relevant 6.2 million microblogs.

• Advancing sentiment analysis done by constructing timely domain-specific sentiment lexicons.

• Valence of user-generated content has a U-shaped relation with innovation investment.

• Volume of user-generated content reduced the impact of valence.

摘要

•Theorizes about the impact of valence and volume of UGC on firm innovation investment.•Empirical study conducted with 886 listed firms and their relevant 6.2 million microblogs.•Advancing sentiment analysis done by constructing timely domain-specific sentiment lexicons.•Valence of user-generated content has a U-shaped relation with innovation investment.•Volume of user-generated content reduced the impact of valence.

论文关键词：Firm performance,Innovation investment,Microblogs,Panel data,Sentiment,Social media,Strategic IT alignment,User-generated content (UGC),Valence,Volume

论文评审过程：Received 7 October 2017, Revised 26 April 2018, Accepted 26 April 2018, Available online 30 April 2018, Version of Record 22 June 2018.

论文官网地址：https://doi.org/10.1016/j.elerap.2018.04.004