Learning by Connecting: How Rule Networks Evolve Through Discovery of Relevance
研究了组织规则网络中连接的形成机制，发现连接通过逐步发现规则间的相关性而演化，机会的可用性和时间排序驱动连接形成，并以加拿大医疗机构的临床实践指南引用网络为例验证了模型。
Learning-by-connecting, the formation of connections between lessons, is a fairly common phenomenon, but how does it evolve? We argue that learning-by-connecting unfolds as the relevance of lessons to other lessons is gradually discovered over time. The process of “relevance discovery” unfolds through a dynamic interplay between lessons and their context that provides opportunities to discover the relevance of lessons to other lessons. We develop a theoretical model in which the availability of these opportunities and their sorting in time drive the formation of connections. We explore and test our model in the context of organizational rules that we conceptualize, following rule-based learning theories, as repositories of lessons learned. Our empirical context is the formation of citation ties between clinical practice guidelines (CPGs), a type of organizational rules in healthcare, in a Canadian regional healthcare organization. We find that citation tie formation intensifies when opportunities to discover relevance become available. We also find that learning-by-connecting creates rule networks in which the formation of new ties slows down due to the sorting of opportunities in time. Our findings support our assumption that learning-by-connecting is shaped by relevance discovery. Our study extends models of rule-based learning and contributes to discussions on the formation of connections in contexts of dispersed learning and knowledge.