Higher education research performance parameters classified by systems theory: antecedents for the development of assessment models

Abstract

Purpose This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels. Design/methodology/approach The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used. Findings The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters. Originality/value One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.

Research performance evaluation model in university: evidence from Indonesia

“…Accordingly, the hypothesis in this study is that all exogenous variables in the developed model have a significant effect on endogenous variables. Previous research using exploratory factor analysis (EFA) obtained indicators that reflect the input, process, output, productivity, outcome, and performance variables (Hermanu et al, 2023) We used a quantitative approach through a survey method that takes samples using a questionnaire as a primary data collection tool. Systematic sampling is one of the most common complex probability methods (Sekaran and Bougie, 2016) was used so that authors can accommodate variances in university, from cluster, type, and location.…”

“…Accordingly, the hypothesis in this study is that all exogenous variables in the developed model have a significant effect on endogenous variables. Previous research using exploratory factor analysis (EFA) obtained indicators that reflect the input, process, output, productivity, outcome, and performance variables (Hermanu et al ., 2023). Hermanu found 10 input indicators, 22 process indicators; 8 output indicators; 4 productivity indicators, and 10 outcome indicators.…”