WHAT IS A “GOOD” SOCIAL NETWORK FOR POLICY IMPLEMENTATION? THE FLOW OF KNOW‐HOW FOR ORGANIZATIONAL CHANGE

This study concerns how intraorganizational networks affect the implementation of policies and practices in organizations. In particular, we attend to the role of the informal subgroup or clique in cultivating and distributing locally adapted and integrated knowledge, or know‐how. We develop two hypotheses based on the importance of intraorganizational coordination for an organization's capacity for change. The first emphasizes the importance of distributing know‐how evenly to potential recipient subgroups. The second emphasizes the importance of restricting know‐how to flow from high know‐how subgroups. We test our hypotheses with longitudinal network data in 21 schools, finding stronger support for the second hypothesis than the first. Our findings can help managers cultivate know‐how flows to contribute to organizational change.     

IMPLEMENTATION OF EVIDENCE‐BASED PRACTICE IN HUMAN SERVICE ORGANIZATIONS: IMPLICATIONS FROM AGENT‐BASED MODELS

Much of the impact of a policy depends on how it is implemented, especially as mediated by organizations such as schools or hospitals. Here, we focus on how implementation of evidence‐based practices in human service organizations (e.g., schools, hospitals) is affected by intraorganizational network dynamics. In particular, we hypothesize intraorganizational behavioral divergence and network polarization are likely to occur when actors strongly identify with their organizations. Using agent‐based models, we find that when organizational identification is high, external change agents who attempt to direct organizations by introducing policy aligned messages (e.g., professional development emphasizing specific teaching practices) may unintentionally contribute to divergence in practice and polarization in networks, inhibiting full implementation of the desired practices as well as reducing organizational capacity to absorb new practices. Thus, the external change agent should consider the interaction between the type of message and the intraorganizational network dynamics driven by organizational identification.