业务
面板数据
创业导向
方向(向量空间)
产业组织
知识管理
经济
计算机科学
计量经济学
创业
财务
几何学
数学
作者
A. Eicke,Christopher Albert Sabel,Stephan Nüesch
摘要
ABSTRACT Artificial intelligence (AI) is disrupting innovation. However, our understanding of firm‐level consequences remains limited. While firms are starting to develop a strategic AI orientation (i.e., goals and strategic directions), we neither know how firms establish a strategic AI orientation nor whether it suffices to increase firms' technological innovation. We explore these questions in two studies. In Study I, we conduct 42 interviews with AI managers in large firms. Using the attention‐based view to structure the qualitative insights, we build deductive hypotheses on the relationship between AI orientation and technological innovation. Study II tests our hypotheses quantitatively, using natural language processing to develop a text‐based measure of firms' strategic AI orientation. Applying this measure to S&P 500 firms between 2012 and 2021, we find that strategic AI orientation relates positively to firms' technological innovation, also across technology domains. CEOs' IT‐related education strengthens this link. These insights contribute to AI‐innovation research. First, we validate and refine the construct strategic AI orientation and its mechanism that links it to technological innovation. Second, we establish a positive AI‐innovation relationship from a strategic perspective, enhancing the external validity of research in this domain. Overall, this article offers a starting point for strategic AI research.
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