efficiency evaluation and ranking of iranian accounting journals: a –dea based approach

Data envelopment analysis (dea) as a data-oriented non parametric method is commonly used for evaluating the efficiency of a group of decision-making units (dmus) with multiple inputs and outputs. this paper aims to analyze the possibility of measuring the performance of accounting journals by dea models and propose a ranking for a set of journals. this study constructed traditional radial dea models where the outputs are number of included articles, number of volume and number of issues. three indicators are also introduced as inputs, namely, published articles, time to accept and acceptance rate. the data set for study is included internal iranian accounting journals in the year of 2024. the results are illustrated in the set of 31 journals from the internal iranian web sites. employing the input/output oriented standard dea models can be a useful method to amend the best operating journal in the selected sample.  to sum up, running super-efficiency models prevail the top-ranked journal among the selected sample.