I synthesize 78 studies from leading nonprofit and public administration journals to explain why research on board design choices, board effectiveness, and organizational performance yields inconsistent findings. The analysis reveals that empirical contradictions stem primarily from theoretical misalignment and measurement diversity rather than from methodological differences alone. Studies test fundamentally different causal propositions. Some researchers model direct effects of board inputs, assuming they are sufficient conditions, while others adopt the dominant mediated model (board design choices as inputs → board effectiveness as mediator → organizational performance as outcomes), treating inputs as necessary but not sufficient conditions requiring governance activation. Yet few studies articulate theoretical criteria for choosing between these specifications. Using Pearl's causal framework, I argue that the causal role of any variable—input, mediator, moderator, or outcome—is not a fixed property but a function of the research question, and I demonstrate when each modeling approach is appropriate and when misspecification introduces bias. Empirically, board capital shows consistent positive effects across measurement approaches. Board size and diversity exhibit contingent effects depending on measurement. Process inputs, particularly strategic planning and oversight, demonstrate robust positive associations on both subjective and objective indicators, though objective tests remain limited for board development practices. I propose a research agenda emphasizing theoretical precision in specifying causal relationships, rigorous identification strategies, and measurement innovation to advance cumulative knowledge in nonprofit governance.
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Ashraful Haque (2026) studied this question.
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