数字化转型视角下上市中小企业知识搜索对开放式创新的影响研究

Research on the Impact of Knowledge Search on Open Innovation in Listed SMEs from the Perspective of Digital Transformation

摘要: 开放式创新已成为中小企业整合内外资源、突破创新瓶颈的重要创新范式。然而，在数字经济背景下，外部知识搜索行为与开放式创新之间的影响尚不明晰。因此，本文以2013~2023年A股中小上市公司为研究对象，对外部知识搜索双元性与开放式创新之间的影响进行实证检验。研究表明：第一，知识搜索广度与深度均与开放式创新绩效呈现显著的倒U型关系，适度搜索可促进创新，过度搜索则产生抑制效应；第二，知识吸收能力在搜索策略与创新绩效之间发挥关键中介作用；第三，数字化转型能够缓解广度搜索的收益递减效应，但同时加剧深度搜索过度所带来的创新抑制。

Abstract: Open innovation has become a crucial strategy for small and medium-sized enterprises (SMEs) to integrate internal and external resources and overcome innovation bottlenecks. However, in the context of the digital economy, the relationship between external knowledge search and open innovation remains unclear. This study empirically examines the impact of external knowledge search duality on open innovation using a sample of A-listed SMEs in China from 2013 to 2023. The findings reveal that: first, both the breadth and depth of knowledge search exhibit a significant inverted U-shaped relationship with open innovation performance, indicating that moderate search enhances innovation, whereas excessive search inhibits it; second, knowledge absorption capacity plays a key mediating role between search strategies and innovation performance; third, digital transformation alleviates the diminishing marginal returns of broad search but exacerbates the innovation suppression effect caused by excessive depth search.