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A common problem with using organizational performance as the dependent variable is the ignoring of feedback effect. The current conceptualization of the turnover–performance relationship is mostly unidirectional, focusing on how turnover affects organizational performance. Only a few scholars have investigated the possible reverse relationship between turnover and performance. Aiming to further the research on the feedback effect of organizational performance, this study employed cross‐lagged structural equation models that are especially suitable for modelling the possible reverse relationships between variables. Data were collected from public elementary and middle schools in New York City over a three‐year period. The results consistently show that organizational performance was negatively related to subsequent employee turnover. This research contributes to the development of a more valid and comprehensive understanding of the relationship between employee turnover and organizational performance.

The wide application of networks in public administration has been driven by the practical need to address increasingly complex management and policy problems. To understand the outcomes of network structures, we reviewed empirical network research and examined the effects of six network structural properties across the five most studied policy domains. We found that certain structural properties such as global connectedness were consistently associated with positive network effects. Other structures such as brokerage/structural holes provided mixed findings, depending on the policy domain. Overall, our field is still in the early stages of developing research on network effects. The number of hypotheses on both node‐level and system‐level effects in any policy domain was relatively small. Most studies focused only on a single network at a single point in time, and thus very little work currently exists that examines the influence of contextual factors and their combined effects with network structures.

An ongoing tension exists in the relationship between performance regimes and equity. On the one hand, performance regimes could set goals to reduce disparate outcomes. However, performance regimes are associated with strategic behaviors, such as cream skimming, that could worsen outcomes for marginalized groups. This article contributes to this debate by examining the use of growth measures of performance on achievement gaps between advantaged and disadvantaged subgroups of students in New York City public schools. Using a regression discontinuity design, this study credibly identifies the causal effects of performance signals on equity outcomes. Results show weak evidence of negative effects on equity, and the achievement gaps did not increase in most of the cases. The article also discusses how the incentives provided by growth measures can curb strategic behaviors. The findings provide measured optimism that the current generation of performance regimes can be designed to account for issues of equity.

This article contributes to the network effectiveness literature by identifying the theoretical mechanisms and network measures scholars in public administration and policy use to draw inferences between network structures and network effects. We conducted a systematic review of empirical network effects research in 40 public administration and policy journals from 1998 to 2019. We reviewed and coded 89 articles and described the main social theories used in the network effectiveness literature and the associated mechanisms that translate network structures to network effects. We also explain how scholars operationalize those theoretical mechanisms through network measures. Overall, our findings reflect that there is limited use of social theories for the explanation of network effects and in some cases, inconsistent use of network measures associated with theories. Moreover, we identify several challenges confronting network effects research. These challenges include the difficulty of isolating specific mechanisms related to a particular social theory, the use of network structures both as a mechanism and as a measure, and the lack of data to examine network dynamics and coevolution.