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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Bibliographic Details
Published inScientometrics Vol. 129; no. 6; pp. 3593 - 3598
Main Authors Bornmann, Lutz, Lepori, Benedetto
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.06.2024
Springer Nature B.V
Subjects
Chatbots
Computer Science
Education
Information Storage and Retrieval
Institutions
Library Science
Bibliometrics
ChatGPT
Benchmarking
Online AccessGet full text
ISSN0138-9130
1588-2861
DOI10.1007/s11192-024-05039-7

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Summary: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).
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
content type line 14
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-024-05039-7