Work

The use of ChatGPT to find similar institutions for institutional benchmarking

Year: 2024

Type: article

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).

Source: Scientometrics

DOI: 10.1007/s11192-024-05039-7

Authors: Lutz Bornmann, Benedetto Lepori

Institutions: Max Planck Society, Università della Svizzera italiana

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,990

Funder: Max-Planck-Gesellschaft