Long Jump Learning: Absorbing Distant Knowledge via Familiar Components

• 成果类型: Article
• 署名作者: Mealey, Christian; Koka, Balaji R.; Hoskisson, Robert E.
• 署名单位: Booz Allen Hamilton Holding Corporation; Rice University
• 刊物名称: ORGANIZATION SCIENCE
• ISSN/ISSBN: 1047-7039
• DOI: 10.1287/orsc.2019.13171
• 发表日期: 2025
• 关键词: organization and management theory; Organizational learning; technology and innovation management; INNOVATION; managerial and organizational cognition

摘要

How do firms overcome the challenge of absorbing distant knowledge? Scholars argue that organizations need knowledge that is distant from their existing knowledge base to create novel innovative output, whereas others argue, in contrast, that organizations need knowledge to be similar to the firm's knowledge base in order to absorb it. We argue that organizations can improve their ability to identify and comprehend knowledge from a distant knowledge category through learning associations made by a category link-a familiar tangible component previously used by somebody else in the distant knowledge category. We test our arguments using a sample of patents in which the material graphene is used as a component across diverse patent classes (i.e., knowledge categories). We find that increasing experience with category-linking graphene enables an organization to patent in increasingly distant graphene-linked patent classes and also increases the number of patents in such classes. We also find that the extent to which category-linking graphene is prominent in a distant knowledge category enhances the effect of graphene experience on a firm's ability to absorb knowledge from the distant knowledge category. We, thus, present a novel internal mechanism by which an organization can absorb distant knowledge.