Purpose: This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy. Design/methodology/approach: The quantitative approach was used through a survey method…

The study aims to investigate the mediating role of output, productivity, and outcome variables in the relationship between input or process variables and research performance. By examining how these variables interact, the study aims to enhance our understanding of the factors that influence research performance. This role was investigated using…

It is important for policymakers and managers of higher education institutions knowing how well their universities are operating. This article aimed to show that data envelopment analysis (DEA) can be an excellent benchmarking instrument in higher education. First, by using several inputs and outputs at the institutional level, DEA can identify…

The paper contributes to the growing and often controversial study of higher education productivity measurement. The paper clarifies core productivity ideas, and considers alternative models for productivity assessment. Results from these models are explored using data from Australian higher education. Findings reveal implications for the…