Innovation Search Strategy and Predictable Returns

• 成果类型: Article
• 署名作者: Fitzgerald, Tristan; Balsmeier, Benjamin; Fleming, Lee; Manso, Gustavo
• 署名单位: Texas A&M University System; Texas A&M University College Station; Mays Business School; University of Luxembourg; University of California System; University of California Berkeley; University of California System; University of California Berkeley
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2019.3480
• 发表日期: 2021
• 关键词: exploration; exploitation; patents; INNOVATION; market efficiency; limited attention

摘要

Because of the intangible and highly uncertain nature of innovation, investors may have difficulty processing information associated with a firm's innovation search strategy. Due to cognitive and strategic biases, investors are likely to pay more attention to unfamiliar explorative patents rather than incremental exploitative patents. We find that innovative firms focusing on exploitation rather than exploration tend to generate superior subsequent short-term operating performance. Analysts do not seem to detect this, as firms currently focused on exploitation tend to outperform the market's near-term earnings expectations. The stock market also seems unable to accurately incorporate information about a firm's innovation search strategy. We find that firms with exploitation strategies are undervalued relative to firms with exploration strategies and that this return differential is incremental to standard risk and innovation-based pricing factors examined in the prior literature. This result suggests a more nuanced view on whether stock market pressure hampers innovation, and may have implications for optimal firm financing choices and corporate disclosure policy.