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<p>Interdisciplinary research has become a pivotal strategy for addressing complex challenges, and understanding its relationship with disruptive innovation has garnered increasing attention. This study explores the relationship between interdisciplinarity—measured by disciplinary variety, balance, and disparity—and disruptive innovation, quantified using the disruptive index. Focusing on Earth Sciences from the Web of Science database between 2000 and 2019, we construct a logistic regression model to examine these variables. Our findings reveal that interdisciplinarity indicators generally positively influence disruptive innovation. Besides, the analysis highlights the moderating effects of collaboration patterns and collaboration size. Notably, international collaboration plays a vital role in strengthening this connection. Regarding collaboration size, medium-sized teams are more effective at balancing efficiency and diversity, thereby effectively leveraging the strengths of various disciplines to foster innovation. Additionally, large teams can maximize their innovative potential through effective management strategies that integrate diverse perspectives. The results are validated through robustness checks. These insights contribute to a deeper understanding of strategically leveraging collaboration to foster interdisciplinary advancement and facilitate transformative progress.</p>

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Impact of interdisciplinarity on disruptive innovation: the moderating role of collaboration pattern and collaboration size

  • 期刊论文

  • 发表日期：

    2025年3月24日

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  • Deng Cheng,
  • Zhang Xue,
  • Yang Zhibo,
  • Zhang Mingze

摘要

Interdisciplinary research has become a pivotal strategy for addressing complex challenges, and understanding its relationship with disruptive innovation has garnered increasing attention. This study explores the relationship between interdisciplinarity—measured by disciplinary variety, balance, and disparity—and disruptive innovation, quantified using the disruptive index. Focusing on Earth Sciences from the Web of Science database between 2000 and 2019, we construct a logistic regression model to examine these variables. Our findings reveal that interdisciplinarity indicators generally positively influence disruptive innovation. Besides, the analysis highlights the moderating effects of collaboration patterns and collaboration size. Notably, international collaboration plays a vital role in strengthening this connection. Regarding collaboration size, medium-sized teams are more effective at balancing efficiency and diversity, thereby effectively leveraging the strengths of various disciplines to foster innovation. Additionally, large teams can maximize their innovative potential through effective management strategies that integrate diverse perspectives. The results are validated through robustness checks. These insights contribute to a deeper understanding of strategically leveraging collaboration to foster interdisciplinary advancement and facilitate transformative progress.