The Topic Landscape of Disruption Research—A Call for Consolidation, Reconciliation, and Generalization
用自然语言处理分析了1975至2016年间1078篇颠覆性研究论文，绘制出84个主题的地图，发现宏观颠覆性创新与微观激进创新两个子网络日益脱节，并提出整合、调和与推广三大研究优先事项。
Using a natural language processing approach, the paper takes stock of extant disruption research and analyzes the full‐text corpus of 1078 journal articles published on disruption between 1975 and 2016. This yields a topic map composed of 84 distinct topics that present the overall topic structure of this dynamic field. Topic network analyses uncover the existence of two increasingly disconnected subnetworks centered around disruptive innovation at the macro level and radical innovation at the micro level. This disconnect is consequential, as both perspectives appear to be highly interdependent and conceptually constitute two sides of the same coin. To counteract the threat of growing fragmentation and reconnect these subnetworks, three research priorities are proposed, firmly grounded in a systematic literature analysis: (1) the need to consolidate peripheral and decoupled topics, (2) the necessity to reconcile competing terminologies and refocus the theoretical core, and (3) the imperative to strengthen the generalizable empirical evidence base.