Selection at the Gate: Difficult Cases, Spillovers, and Organizational Learning

• 成果类型: Article
• 署名作者: Stan, Mihaela; Vermeulen, Freek
• 署名单位: University of London; University College London; University of London; London Business School
• 刊物名称: ORGANIZATION SCIENCE
• ISSN/ISSBN: 1047-7039
• DOI: 10.1287/orsc.1120.0763
• 发表日期: 2013
• 页码: 796-812
• 关键词: organizational learning; longitudinal research; ORGANIZATIONAL CAPABILITIES

摘要

We analyze longitudinal data on British fertility clinics to examine the impact of selection at the gate, i.e., the attempts of organizations to improve the success rate of their output by selecting promising cases as input. In contrast to what might be expected, we argue that more stringent input selection is likely to lead to lower overt performance compared with those firms that admit difficult cases, because the latter develop steeper learning curves. That is, difficult cases enable greater learning from prior experience because they promote experimentation, communication among various actors, and the codification of new knowledge. Our results confirm this prediction and provide clear evidence that organizations with more difficult cases in their portfolios gradually begin to display performance figures that compare favorably with those of firms that do select at the gate.