背景(考古学)
资产(计算机安全)
开放科学
出版
价值(数学)
领域(数学)
拨款
业务
竞争优势
竞争情报
数据科学
资源(消歧)
知识管理
战略管理
营销
计算机科学
古生物学
语言学
哲学
物理
计算机安全
数学
天文
机器学习
广告
纯数学
生物
计算机网络
作者
Philipp Hartmann,Joachim Henkel
标识
DOI:10.5465/amd.2019.0043
摘要
Digitalization has vastly increased the availability, the use, and the value of data. We show that this has implications also in the context of innovation, specifically, for basic research in the field of artificial intelligence (AI). Whereas corporations in recent decades have generally shifted away from scientific research, this has not been the case in the field of AI. In AI, we show that a number of large corporations including Google, Facebook, and their Chinese counterparts hire leading researchers and publish increasing amounts of high-quality basic research. Conventional explanations of corporate science fail to fully explain why corporations would undertake this research and disseminate their results. We suggest that a central aspect of digitalization—the rising importance of data as a strategic resource—drives corporate participation in AI science and publication. Owning strategic data resources makes firms lead users of AI tools, gives them a novel comparative advantage over universities in doing research in AI, and constitutes a specialized complementary asset that facilitates value appropriation. We conclude that the phenomenon we observe reflects an overall shift in the sources of competitive advantage in AI, from exclusivity in technology to exclusivity in data.
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