Speed is Significant in Short‐Loop Experimental Learning: Iterating and Debugging in High‐Tech Product Innovation

Alex A. Alblas (Corresponding author), Miel E.L. Notten

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
JournalDecision Sciences
VolumeXX
Issue numberXX
DOIs
Publication statusE-pub ahead of print - 12 Aug 2020

Keywords

  • Design Debugging
  • Design Iteration
  • Experimentation
  • High-tech
  • Organizational Learning

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