What Drives Good Governance? A Structural Equation Model of Nonprofit BoardPerformance
基于全国代表性调查数据，用结构方程模型分析非营利组织董事会绩效的影响因素，发现绩效受组织、劳动力和市场等多维动态影响，且部分关系是间接的。
The study of nonprofit governance is coming into its theoretical heyday by incorporating a sophisticated understanding of its contingent and multidimensional nature. A systems view of governance acknowledges the interplay of internal and external dynamics on board performance. But empirically, large-scale, generalizable data that can test these concepts on board performance have been scarce. This study helps to fill that gap with a structural equation analysis of a national representative survey of member-serving organizations. The results suggest that board performance is associated with complex organizational and labor dynamics, and that performance metrics themselves are multidimensional. Furthermore, not all relationships with strong boards are directly measurable. Some appear related to indirect external market dynamics or healthy internal dynamics such as learning and self-evaluation.