Evaluating Research Efficiency in Indonesian Higher Education Institution

Dimyati, Muhammad; Hermanu, Adhi Indra

doi:10.1177/0193841x221118181

Cited by 6 publications

(6 citation statements)

References 51 publications

(48 reference statements)

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“…The evaluation of innovation performance has a stronger relationship with economic growth than only using the calculation of the total number of patents. Dimyati and Hermanu (2022) recommended that output efficiency indicators on the available resources should be included in performance appraisals to show more accurate conditions for funds (Carrington et al ., 2018), and the involvement of the number of researchers.…”

Section: Resultsmentioning

confidence: 99%

Research performance evaluation model in university: evidence from Indonesia

Hermanu,

Sari,

Sondari

et al. 2024

IJEM

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PurposeThis 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/approachThe quantitative approach was used through a survey method that obtained samples using questionnaires from 150 leaders of research institutions and continued analysis using the structural equation modeling-partial least square (SEM-PLS) to test the developed model.FindingsExcept for the relationship between process and productivity variables, all variable relationships had a positive and significant effect. Furthermore, the input, process, output, productivity and outcome variables each include seven, twelve, four and ten indicators.Research limitations/implicationsThis study has several ramifications because it provides a clear policy input and advances science. As a prelude to developing research performance assessment tools that take into account variances in a tertiary institution, this research aids in the implementation of national policies for assessing research performance in postsecondary institutions.Originality/valueTo improve the accuracy of the information acquired, we conducted a survey among the heads of research units at various higher-ranking Indonesian universities, taking into consideration their skill and experience in leading research organizations and conducting research. Other than that, our belief in the originality of our manuscript is strengthened by the way we applied systems theory to construct a performance evaluation model that examines each contribution made by each system aspect.

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Section: Resultsmentioning

confidence: 99%

Research performance evaluation model in university: evidence from Indonesia

Hermanu,

Sari,

Sondari

et al. 2024

IJEM

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study reveals the efficiency of Italian universities and methodologically compares the results of these two methods. Dimyati and Hermanu (2022) analyzed the research efficiency of 191 Indonesian HEIs using DEA using budget and number of personnel inputs and 11 research outputs. In addition, this study compared the effects of efficiency analysis and performance evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…After examining the available literature, it is evident that there have been multiple studies investigating the efficiency of universities across various contexts. Some of these studies focus on evaluating the efficiency of HEIs within a specific country (Agasisti & Bianco, 2009; Dimyati & Hermanu, 2022; Jiang et al, 2020; Maral, 2023; Shamohammadi & Oh, 2019; Thai & Noguchi, 2021), while others compare efficiency across different countries (Agasisti, 2011), and others adopt a comparative approach, evaluating efficiency across multiple countries (Agasisti, 2011). Agasisti and Bianco (2009) analyzed the efficiency of Italian universities using data envelopment analysis (DEA) and stochastic frontier analysis and compared the results with those of other universities.…”

Section: Introductionmentioning

confidence: 99%

Teaching, research, and third mission efficiency of universities: A data envelopment analysis and hybrid multi‐criteria decision‐making approach

Maral,

Çetin

2024

Manage Decis Econ

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Previous studies on the efficiency of higher education institutions have generally approached the functions of higher education from a limited perspective, and the studies have followed traditional methods. The aim of this study is to determine the teaching, research, and third mission technical efficiency of universities, to rank efficient universities, to identify potential areas for improvement, and to examine the determinants of efficiency scores and the differences in scores in terms of various variables. In this study, the efficiency of 187 universities was measured by data envelopment analysis. Efficiency criteria were weighted by both objective and subjective multi‐criteria decision‐making (MCDM) methods and ranked by different MCDM methods. Beta and Linear regression were performed to determine the factors on efficiency scores. According to the results of the study, the most efficient universities are in the fields of research, teaching, and third mission, respectively. Budget criterion is the most important input criterion. Number of graduates, number of publications, and number of social responsibility projects are the most important output criteria. Having an older history positively predicts teaching and research efficiency. The size of universities and being located in developed regions negatively predict research and third mission efficiency. There is a positive relationship between rankings in teaching, research, and third mission. This research provides more comprehensive information to universities by considering teaching, research, and third mission efficiency separately. Second, this research proposes a new methodology for higher education efficiency measurement by integrating DEA and hybrid MCDM. Finally, this research provides new insights by analyzing factors related to teaching, research, and tertiary mission efficiency.

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“…When the literature is examined, it is seen that research efficiency is measured for different units and with different methods. Research programs (Cherchye and Abeele, 2005), researchers (Amara et al, 2020), higher education institutions (Dimyati and Hermanu, 2022;Jiang et al, 2020;Munoz, 2016), universities (Canal et al, 2015;Li et al, 2023;Shi et al, 2022;Wang and Wang, 2021), R&D programs (Jimenez-Saez et al, 2011), academic disciplines (Su et al, 2020), a specific field (Zhang et al, 2022), institute (Amara et al, 2020;Liao et al, 2016) IJEM 37,6/7 1162…”

Section: Introductionmentioning

confidence: 99%

“…Research programs (Cherchye and Abeele, 2005), researchers (Amara et al. , 2020), higher education institutions (Dimyati and Hermanu, 2022; Jiang et al. , 2020; Munoz, 2016), universities (Canal et al.…”

Section: Introductionmentioning

confidence: 99%

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Maral

2023

IJEM

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PurposeThe purpose of this study is to examine the research efficiency of the research universities in Türkiye and to identify potential areas for improvement and to examine the factors affecting efficiency.Design/methodology/approachFor this purpose, data envelopment analysis was conducted with the output-oriented Banker, Charnes and Cooper (BCC) model with five-year article and citation counts data of 23 universities which were obtained from the Web of Science Core Collection.FindingsThe findings of the study show that only eight research universities are efficient. There are areas of development for universities to be effective. In addition, the findings of the regression analysis conducted to reveal the determinants of efficiency revealed significant results.Research limitations/implicationsResearch universities in Türkiye should allocate their resources in a way to increase research performance. Policies should be developed to increase the number of publications and, more importantly, the quality of publications.Originality/valuePotential areas for improvement were identified for the universities to become efficient. The results revealed that both publication quality and productivity need to be improved, but there is more room for improvement in publication quality. Regression analysis with the determinants of efficiency scores shows that the development level of the region where the universities are located has a positive effect on the research efficiency of universities. In addition, it is concluded that smaller universities have better efficiency scores.

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Evaluating Research Efficiency in Indonesian Higher Education Institution

Cited by 6 publications

References 51 publications

Research performance evaluation model in university: evidence from Indonesia

Research performance evaluation model in university: evidence from Indonesia

Teaching, research, and third mission efficiency of universities: A data envelopment analysis and hybrid multi‐criteria decision‐making approach

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

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