Speed is Significant in Short‐Loop Experimental Learning: Iterating and Debugging in High‐Tech Product Innovation
研究了高科技产品创新中驱动实验学习的因素，发现完成项目的积累比失败经验更能促进学习，而快速处理迭代和调试能通过短循环实验限制迷信学习，提升创新学习速度。
ABSTRACT Digital technology is fundamental to experimentation, learning, and the rate of innovation. Digital technology facilitates the rapid distribution of experimental design and debug information. However, we should consider how this fundamentally changes organizational learning and experimentation when managing the rate of product innovation. We address this issue by investigating what drives experimentation‐based learning in high‐tech product innovation and production. The longitudinal dataset in our study consists of 216 projects over a period of almost 5 years, involving thousands of digitally recorded design iterations and design debugs. Based on a time series linear regression analysis, we demonstrate that learning from an accumulation of completed projects drives learning in experimentation more than failure experience in successfully completed design debugs. Furthermore, we show that processing iterations and debugs rapidly enhances the speed of product innovation learning as this allows for short‐loop experimentation that restricts superstitious learning when conditions change over time. The results also show this can be achieved using digital tools as a source of agility.