The use of ChatGPT to find similar institutions for institutional benchmarking
In evaluative bibliometrics and higher education studies, one is frequently confronted with the task of comparing institutions with similar institutions. In this Letter to the Editor, a simple approach is discussed which applies ChatGPT. Although the approach seems to produce promising results (test...
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| Published in | Scientometrics Vol. 129; no. 6; pp. 3593 - 3598 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Cham
Springer International Publishing
01.06.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0138-9130 1588-2861 |
| DOI | 10.1007/s11192-024-05039-7 |
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| Abstract | In evaluative bibliometrics and higher education studies, one is frequently confronted with the task of comparing institutions with similar institutions. In this Letter to the Editor, a simple approach is discussed which applies ChatGPT. Although the approach seems to produce promising results (tested with an example at the level of research institute and of a university), it is necessary to investigate it systematically based on a sample including many institutions before it should be applied in research evaluation. The challenge in systematic investigations is that ChatGPT provides the user with different answers on the sane request (missing reliability). |
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| AbstractList | In evaluative bibliometrics and higher education studies, one is frequently confronted with the task of comparing institutions with similar institutions. In this Letter to the Editor, a simple approach is discussed which applies ChatGPT. Although the approach seems to produce promising results (tested with an example at the level of research institute and of a university), it is necessary to investigate it systematically based on a sample including many institutions before it should be applied in research evaluation. The challenge in systematic investigations is that ChatGPT provides the user with different answers on the sane request (missing reliability). |
| Author | Lepori, Benedetto Bornmann, Lutz |
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| Cites_doi | 10.3389/frai.2023.1270749 10.1007/s11192-012-0672-2 10.1108/Cemj-02-2023-0091 10.1007/s11192-022-04413-7 10.1080/21568235.2022.2094817 10.1016/j.iotcps.2023.04.003 10.1108/LHTN-01-2023-0009 10.1038/s41597-023-02353-2 10.3390/app13095783 10.59350/qc0px-76778 10.1007/s11192-023-04882-4 10.1007/s11019-023-10136-0 10.1002/(sici)1097-4571(1999)50:2<115::Aid-asi3>3.3.Co;2-a 10.1002/asi.22923 |
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| References | FrietschRGruberSRothengatterONormierter Vergleich der im Pakt für Forschung und Innovation geförderten Organisationen mit internationalen Vergleichsorganisationen anhand ausgewählter Indikatoren2022Fraunhofer ISI GordijnBten HaveHChatGPT: Evolution or revolution?Medicine Health Care and Philosophy20232611210.1007/s11019-023-10136-0 NoyonsECMMoedHFLuwelMCombining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric studyJournal of the American Society for Information Science199950211513110.1002/(sici)1097-4571(1999)50:2<115::Aid-asi3>3.3.Co;2-a WangQJeppssonTIdentifying benchmark units for research management and evaluationScientometrics2022127127557757410.1007/s11192-022-04413-7 van Eck, N. J., & Waltman, L. (2024). An open approach for classifying research publications. Retrieved 22 Feb 2024, from https://www.leidenmadtrics.nl/articles/an-open-approach-for-classifying-research-publications Andersen, J. P., Didegah, F., & Schneider, J. W. (2017). The necessity of comparing like with like in evaluative scientometrics: A first attempt to produce and test a generic approach to identifying relevant benchmark units. In Proceedings of the science, technology, & innovation indicators conference “Open indicators: Innovation, participation and actor-based STI indicators”. Paris, France. KorzynskiPMazurekGAltmannAEjdysJKazlauskaiteRPaliszkiewiczJWachKZiembaEGenerative artificial intelligence as a new context for management theories: Analysis of ChatGPTCentral European Management Journal202331131310.1108/Cemj-02-2023-0091 SandnesFECan we identify prominent scholars using ChatGPT?Scientometrics2024129171371810.1007/s11192-023-04882-4 LeporiBBordenVMHCoatesHOpportunities and challenges for international institutional data comparisonsEuropean Journal of Higher Education20221237339010.1080/21568235.2022.2094817 DaraioCBonaccorsiASimarLRankings and university performance: A conditional multidimensional approach2014University of Rome BornmannLde Moya AnegónFMutzRDo universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings? A latent class analysis with data from the SCImago rankingJournal of the American Society for Information Science and Technology201364112310231610.1002/asi.22923 RayPPChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scopeInternet of Things and Cyber-Physical Systems2023312115410.1016/j.iotcps.2023.04.003 FarhatFSilvaESHassaniHMadsenDOSohailSSHimeurYAlamMAZafarAThe scholarly footprint of ChatGPT: A bibliometric analysis of the early outbreak phaseFrontiers in Artificial Intelligence202410.3389/frai.2023.1270749 van VughtFAZiegeleFMultidimensional ranking: The design and development of U-Multirank2012Springer LeporiBLambrechtsAAWagner-SchusterDZahradnikGThe European Tertiary Education Register, the reference dataset on european higher education institutionsScientific Data202310.1038/s41597-023-02353-2 RahmanMMWatanobeYChatGPT for education and research: Opportunities, threats, and strategiesApplied Sciences2023139578310.3390/app13095783 LundBWangTChatting about ChatGPT: How may AI and GPT impact academia and libraries?Library Hi Tech News202310.1108/LHTN-01-2023-0009 CarayolNFilliatreauGLahatteAReference classes: A tool for benchmarking universities’ researchScientometrics201293235137110.1007/s11192-012-0672-2 Thelwall, M. (2024). Can ChatGPT evaluate research quality? Retrieved 3 Apr 2024, from https://arxiv.org/abs/2402.05519 F Farhat (5039_CR5) 2024 R Frietsch (5039_CR6) 2022 B Gordijn (5039_CR7) 2023; 26 MM Rahman (5039_CR13) 2023; 13 FE Sandnes (5039_CR15) 2024; 129 L Bornmann (5039_CR2) 2013; 64 B Lepori (5039_CR9) 2022; 12 ECM Noyons (5039_CR12) 1999; 50 5039_CR17 5039_CR16 P Korzynski (5039_CR8) 2023; 31 C Daraio (5039_CR4) 2014 B Lepori (5039_CR10) 2023 5039_CR1 Q Wang (5039_CR19) 2022; 127 B Lund (5039_CR11) 2023 N Carayol (5039_CR3) 2012; 93 (5039_CR18) 2012 PP Ray (5039_CR14) 2023; 3 |
| References_xml | – reference: LeporiBBordenVMHCoatesHOpportunities and challenges for international institutional data comparisonsEuropean Journal of Higher Education20221237339010.1080/21568235.2022.2094817 – reference: NoyonsECMMoedHFLuwelMCombining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric studyJournal of the American Society for Information Science199950211513110.1002/(sici)1097-4571(1999)50:2<115::Aid-asi3>3.3.Co;2-a – reference: Thelwall, M. (2024). Can ChatGPT evaluate research quality? Retrieved 3 Apr 2024, from https://arxiv.org/abs/2402.05519 – reference: BornmannLde Moya AnegónFMutzRDo universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings? A latent class analysis with data from the SCImago rankingJournal of the American Society for Information Science and Technology201364112310231610.1002/asi.22923 – reference: FarhatFSilvaESHassaniHMadsenDOSohailSSHimeurYAlamMAZafarAThe scholarly footprint of ChatGPT: A bibliometric analysis of the early outbreak phaseFrontiers in Artificial Intelligence202410.3389/frai.2023.1270749 – reference: GordijnBten HaveHChatGPT: Evolution or revolution?Medicine Health Care and Philosophy20232611210.1007/s11019-023-10136-0 – reference: KorzynskiPMazurekGAltmannAEjdysJKazlauskaiteRPaliszkiewiczJWachKZiembaEGenerative artificial intelligence as a new context for management theories: Analysis of ChatGPTCentral European Management Journal202331131310.1108/Cemj-02-2023-0091 – reference: CarayolNFilliatreauGLahatteAReference classes: A tool for benchmarking universities’ researchScientometrics201293235137110.1007/s11192-012-0672-2 – reference: RahmanMMWatanobeYChatGPT for education and research: Opportunities, threats, and strategiesApplied Sciences2023139578310.3390/app13095783 – reference: RayPPChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scopeInternet of Things and Cyber-Physical Systems2023312115410.1016/j.iotcps.2023.04.003 – reference: SandnesFECan we identify prominent scholars using ChatGPT?Scientometrics2024129171371810.1007/s11192-023-04882-4 – reference: WangQJeppssonTIdentifying benchmark units for research management and evaluationScientometrics2022127127557757410.1007/s11192-022-04413-7 – reference: FrietschRGruberSRothengatterONormierter Vergleich der im Pakt für Forschung und Innovation geförderten Organisationen mit internationalen Vergleichsorganisationen anhand ausgewählter Indikatoren2022Fraunhofer ISI – reference: Andersen, J. P., Didegah, F., & Schneider, J. W. (2017). The necessity of comparing like with like in evaluative scientometrics: A first attempt to produce and test a generic approach to identifying relevant benchmark units. In Proceedings of the science, technology, & innovation indicators conference “Open indicators: Innovation, participation and actor-based STI indicators”. Paris, France. – reference: DaraioCBonaccorsiASimarLRankings and university performance: A conditional multidimensional approach2014University of Rome – reference: van Eck, N. J., & Waltman, L. (2024). An open approach for classifying research publications. Retrieved 22 Feb 2024, from https://www.leidenmadtrics.nl/articles/an-open-approach-for-classifying-research-publications – reference: LundBWangTChatting about ChatGPT: How may AI and GPT impact academia and libraries?Library Hi Tech News202310.1108/LHTN-01-2023-0009 – reference: LeporiBLambrechtsAAWagner-SchusterDZahradnikGThe European Tertiary Education Register, the reference dataset on european higher education institutionsScientific Data202310.1038/s41597-023-02353-2 – reference: van VughtFAZiegeleFMultidimensional ranking: The design and development of U-Multirank2012Springer – year: 2024 ident: 5039_CR5 publication-title: Frontiers in Artificial Intelligence doi: 10.3389/frai.2023.1270749 – volume: 93 start-page: 351 issue: 2 year: 2012 ident: 5039_CR3 publication-title: Scientometrics doi: 10.1007/s11192-012-0672-2 – volume: 31 start-page: 3 issue: 1 year: 2023 ident: 5039_CR8 publication-title: Central European Management Journal doi: 10.1108/Cemj-02-2023-0091 – volume: 127 start-page: 7557 issue: 12 year: 2022 ident: 5039_CR19 publication-title: Scientometrics doi: 10.1007/s11192-022-04413-7 – ident: 5039_CR1 – volume: 12 start-page: 373 year: 2022 ident: 5039_CR9 publication-title: European Journal of Higher Education doi: 10.1080/21568235.2022.2094817 – volume: 3 start-page: 121 year: 2023 ident: 5039_CR14 publication-title: Internet of Things and Cyber-Physical Systems doi: 10.1016/j.iotcps.2023.04.003 – year: 2023 ident: 5039_CR11 publication-title: Library Hi Tech News doi: 10.1108/LHTN-01-2023-0009 – volume-title: Multidimensional ranking: The design and development of U-Multirank year: 2012 ident: 5039_CR18 – volume-title: Rankings and university performance: A conditional multidimensional approach year: 2014 ident: 5039_CR4 – year: 2023 ident: 5039_CR10 publication-title: Scientific Data doi: 10.1038/s41597-023-02353-2 – volume: 13 start-page: 5783 issue: 9 year: 2023 ident: 5039_CR13 publication-title: Applied Sciences doi: 10.3390/app13095783 – ident: 5039_CR17 doi: 10.59350/qc0px-76778 – volume: 129 start-page: 713 issue: 1 year: 2024 ident: 5039_CR15 publication-title: Scientometrics doi: 10.1007/s11192-023-04882-4 – volume: 26 start-page: 1 issue: 1 year: 2023 ident: 5039_CR7 publication-title: Medicine Health Care and Philosophy doi: 10.1007/s11019-023-10136-0 – ident: 5039_CR16 – volume-title: Normierter Vergleich der im Pakt für Forschung und Innovation geförderten Organisationen mit internationalen Vergleichsorganisationen anhand ausgewählter Indikatoren year: 2022 ident: 5039_CR6 – volume: 50 start-page: 115 issue: 2 year: 1999 ident: 5039_CR12 publication-title: Journal of the American Society for Information Science doi: 10.1002/(sici)1097-4571(1999)50:2<115::Aid-asi3>3.3.Co;2-a – volume: 64 start-page: 2310 issue: 11 year: 2013 ident: 5039_CR2 publication-title: Journal of the American Society for Information Science and Technology doi: 10.1002/asi.22923 |
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| Title | The use of ChatGPT to find similar institutions for institutional benchmarking |
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