Due to the characteristics of variable quantity and great individual difference in group evaluation,an effective entropy-based method for group performance evaluation was proposed. First,a group evaluation indexing sy...Due to the characteristics of variable quantity and great individual difference in group evaluation,an effective entropy-based method for group performance evaluation was proposed. First,a group evaluation indexing system was built upon the real scenarios of universities. Then, a continuous ordered weighted operator was introduced to eliminate uncertainty evaluation information. By using an entropy strategy,a systematic approach to group performance evaluation was established. Finally, an illustrative example was provided,showing the practicability of the proposed methods in real applications of the efficient performance appraisal theory of colleges and universities.展开更多
Purpose:Based on the case of the top nine elite universities in China(i.e.C9 League),we evaluate the university discipline advantages in terms of outputs and influence of scientific articles.Combining with the discipl...Purpose:Based on the case of the top nine elite universities in China(i.e.C9 League),we evaluate the university discipline advantages in terms of outputs and influence of scientific articles.Combining with the discipline collaboration analysis,we provide suggestions on discipline development and future collaboration for C9 League members.Design/methodology/approach:First,we carry out a correlation analysis.Then,we obtain the new combination evaluation indicators through factor analysis on seven primary indicators from InCite platform.Afterwards,we assign the weighted values to different indicators in order to get the evaluation scores and the ranking for each C9 League member.Then,we obtain the bibliographic data of the C9 League members for extracting the category classifications from the Web and transforming them into Degree-Granting and Personal Trainning Courses Catalogue(DPTCC).According to the original collaboration frequencies among C9 League members,we carry out the analysis on two-mode collaboration networks.Finally,we propose some suggestions on the future collaboration and development.Findings:There is correlation relationship between the outputs of scientific papers and influence indicators,so it is necessary to use the various indicators to acquire the more scientific evaluation.Meanwhile,league members are different in the discipline development level,and have inadequate collaboration with each other,which indicates that there exists the great potential for further collaborations.Research limitations:Despite the relative high quality SCI papers,preference for different disciplines of SCI and different discipline features for C9 members probably exert negative influence on evaluation results.Practical implications:We provide a research thought and an operational approach to the disciplines evaluation,which would promote more methods for scientific discipline evaluation and reasonable management for universities.Originality/value:There are more and more articles on the universities evaluation indexes,but rarely on the relationship among the indicators.Therefore,our approach would be helpful for the evaluation of university disciplines.展开更多
1 Introduction Existing university research evaluation mechanisms face issues like unclear value orientation,poor classification,suboptimal expert selection,and unscientific organization[1].A comprehensive,scientific ...1 Introduction Existing university research evaluation mechanisms face issues like unclear value orientation,poor classification,suboptimal expert selection,and unscientific organization[1].A comprehensive,scientific evaluation system is essential for advancing higher education.Motivation.Traditional evaluation methods struggle to keep up with the increasing complexity and variety of evaluation indicators[2].Data mining techniques,such as cooccurrence analysis and clustering,have been effective in uncovering hidden patterns in large datasets,addressing the limitations of traditional qualitative methods[3−5].However,research applying these techniques in this field remains limited.展开更多
The study focuses on the research performance of Double First-Class(DFC)universities in China.A theoretical framework based on economic theory and the Analytic Hierarchy Process(AHP)method for a novel evaluation model...The study focuses on the research performance of Double First-Class(DFC)universities in China.A theoretical framework based on economic theory and the Analytic Hierarchy Process(AHP)method for a novel evaluation model is proposed.The model is performed on a sample of 41 participant DFC universities in China.Using data collected from these universities,it was found that there is no consistency between performance ranking,input ranking,and output ranking,with the best ranked universities far from the most efficient.These findings provide empirical evidence of DFC universities’research performance situation and suggest strategies that the government can use to propel their sustainable development.展开更多
基金National Natural Science Foundation of China(No.11373086)
文摘Due to the characteristics of variable quantity and great individual difference in group evaluation,an effective entropy-based method for group performance evaluation was proposed. First,a group evaluation indexing system was built upon the real scenarios of universities. Then, a continuous ordered weighted operator was introduced to eliminate uncertainty evaluation information. By using an entropy strategy,a systematic approach to group performance evaluation was established. Finally, an illustrative example was provided,showing the practicability of the proposed methods in real applications of the efficient performance appraisal theory of colleges and universities.
基金supported by the West Light Foundation of Chinese Academy of Science(Grant No:Y4C0011001)
文摘Purpose:Based on the case of the top nine elite universities in China(i.e.C9 League),we evaluate the university discipline advantages in terms of outputs and influence of scientific articles.Combining with the discipline collaboration analysis,we provide suggestions on discipline development and future collaboration for C9 League members.Design/methodology/approach:First,we carry out a correlation analysis.Then,we obtain the new combination evaluation indicators through factor analysis on seven primary indicators from InCite platform.Afterwards,we assign the weighted values to different indicators in order to get the evaluation scores and the ranking for each C9 League member.Then,we obtain the bibliographic data of the C9 League members for extracting the category classifications from the Web and transforming them into Degree-Granting and Personal Trainning Courses Catalogue(DPTCC).According to the original collaboration frequencies among C9 League members,we carry out the analysis on two-mode collaboration networks.Finally,we propose some suggestions on the future collaboration and development.Findings:There is correlation relationship between the outputs of scientific papers and influence indicators,so it is necessary to use the various indicators to acquire the more scientific evaluation.Meanwhile,league members are different in the discipline development level,and have inadequate collaboration with each other,which indicates that there exists the great potential for further collaborations.Research limitations:Despite the relative high quality SCI papers,preference for different disciplines of SCI and different discipline features for C9 members probably exert negative influence on evaluation results.Practical implications:We provide a research thought and an operational approach to the disciplines evaluation,which would promote more methods for scientific discipline evaluation and reasonable management for universities.Originality/value:There are more and more articles on the universities evaluation indexes,but rarely on the relationship among the indicators.Therefore,our approach would be helpful for the evaluation of university disciplines.
基金supported by the 2022 Theoretical Research Project on Talent Work of the China Association for Science and Technology(CAST)titled“Research on Talent Discovery and Utilization Mechanisms for Key Core Technical Personnel:A Case Study in Aerospace,Integrated Circuits,and Related Fields”(2022070607CG0905012022).
文摘1 Introduction Existing university research evaluation mechanisms face issues like unclear value orientation,poor classification,suboptimal expert selection,and unscientific organization[1].A comprehensive,scientific evaluation system is essential for advancing higher education.Motivation.Traditional evaluation methods struggle to keep up with the increasing complexity and variety of evaluation indicators[2].Data mining techniques,such as cooccurrence analysis and clustering,have been effective in uncovering hidden patterns in large datasets,addressing the limitations of traditional qualitative methods[3−5].However,research applying these techniques in this field remains limited.
文摘The study focuses on the research performance of Double First-Class(DFC)universities in China.A theoretical framework based on economic theory and the Analytic Hierarchy Process(AHP)method for a novel evaluation model is proposed.The model is performed on a sample of 41 participant DFC universities in China.Using data collected from these universities,it was found that there is no consistency between performance ranking,input ranking,and output ranking,with the best ranked universities far from the most efficient.These findings provide empirical evidence of DFC universities’research performance situation and suggest strategies that the government can use to propel their sustainable development.
