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引用次数: 0
摘要
本文探讨了企业层面创新项目的失败是否有助于加强企业的创新活动和未来创新的几率。在有关 NK 适应性景观的文献基础上,我们的论文将重点放在技术复杂性上,将其视为影响企业对创新失败做出反应的关键因素,以指导企业是停止当前的创新之路,还是利用失败作为未来创新成功的基础。随后,我们利用荷兰从 1996 年到 2014 年进行的十次社区创新调查的面板数据集,对模型中的假设进行了检验。我们的研究结果表明,企业可利用的不同学习形式具有根本的相关性。我们特别强调了之前的创新项目被放弃后学习的积极作用。之前的创新失败在企业内部产生了某种形式的学习,而这种学习对之后的成功创新起到了积极的促进作用。此外,通过区分激进创新和渐进创新,以及复杂创新景观和不太复杂的创新景观,我们强调了渐进创新在整个景观复杂度范围内的作用,而激进创新的作用似乎更局限于不那么动荡的技术景观。
This paper explores whether failures in innovation projects at the firm level contribute to strengthening firms’ innovative activities and the odds of future innovation. Building on the literature on NK fitness landscapes, our paper focuses on technological complexity as a key factor that influences the response to innovation failures, guiding whether to discontinue the current path or, alternatively, to leverage the failure as a foundation for future innovation success. We then test the hypothesis derived from our model using a panel data set constituted by ten waves of the Community Innovation Survey held in the Netherlands from 1996 to 2014. Our findings show the fundamental relevance of the different forms of learning that are available to the firm. In particular, we highlight the positive role of learning after a previous innovation project has been abandoned. Previous failure in innovating produces some forms of learning inside the firms, and this learning positively contributes to subsequent successful innovation. Moreover, by differentiating between radical and incremental innovation, and between complex and less-complex innovation landscapes, we highlight the role of incremental innovation over the whole spectrum of landscape complexity, while the role of radical innovation appears to be more limited to less turbulent technological landscapes.
期刊介绍:
Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.