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This paper discusses the generalization of a model validated by the United States National Research Council. It analyzes a cross-national data collection involving ten diverse Asian countries and dozens of institutions. In each country, reviews were conducted of salient political and institutional contexts. The paper reviews technical and empirical contributions to research, and articulates contexts and strategies for improving national policy and institutional management. It highlights the value of progressing contextualized scientific studies of productivity in higher education.

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Productivity metrics in higher education are essential for priority setting, quality management, and cost control. This Guide presents a paradigm for organizing the different kinds of productivity metrics, applies it to a representative sample of the metrics currently in use, and suggests some criteria for gauging the efficacy of particular metrics. Hopefully, this will help unpack the current tangle of productivity metrics in higher education and also prove useful in starting a conversation on a way forward.

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