Management Science · 2025 · Eliana Barrenho、Eric Gautier、Marisa Miraldo、Carol Propper、Christiern Rose
中文摘要
本文利用一个关于英格兰国家医疗服务体系(NHS)中外科医生采用一项复杂外科手术创新的新型15年数据集,以及基于外科医生流动性的识别策略,分离出同事影响创新扩散的三种渠道:(1)同伴网络规模;(2)有影响力的“关键人物”;(3)同伴的累积采用。我们发现,同伴联系增加一个标准差可使创新提高16%。关键人物既可能放大也可能抑制扩散,而同伴采用对经验较少的个体影响更大。这些结果凸显了将培训瞄准高影响力网络成员以加快扩散的价值。这项工作增进了我们对职业网络如何塑造创新扩散的理解,并对技术实施具有启示意义。
Abstract
Using a novel 15-year data set on surgeon adoption of a complex surgical innovation in the English National Health Service and an identification strategy based on surgeon mobility, this paper disentangles three channels of coworker influence on innovation diffusion: (1) peer network size, (2) influential “key players,” and (3) cumulative peer adoption. We find that a one standard deviation in peer connections boost innovation by 16%. Key players can either amplify or dampen diffusion, and peer adoption has a greater impact on less experienced individuals. These results highlight the value of targeting training to high impact network members to speed up diffusion. This work advances our understanding of how professional networks shape innovation diffusion, with implications for technology implementation.