An Accurate and Impartial Expert Assignment Method for Scientific Project Review
Article Category: Research Paper
Publicado en línea: 29 dic 2017
Páginas: 65 - 80
Recibido: 23 jun 2017
Aceptado: 06 nov 2017
DOI: https://doi.org/10.1515/jdis-2017-0020
Palabras clave
© 2017 Walter de Gruyter GmbH, Berlin/Boston
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Purpose
This paper proposes an expert assignment method for scientific project review that considers both accuracy and impartiality. As impartial and accurate peer review is extremely important to ensure the quality and feasibility of scientific projects, enhanced methods for managing the process are needed.
Design/methodology/approach
To ensure both accuracy and impartiality, we design four criteria, the reviewers’
Findings
Simulation results show that the proposed method is quite accurate and impartial during expert assignment.
Research limitations
Although the criteria used in this paper can properly show the characteristics of a good and appropriate peer review expert, more criteria/conditions can be included in the proposed scheme to further enhance accuracy and impartiality of the expert assignment.
Practical implications
The proposed method can help project funding agencies (e.g. the National Natural Science Foundation of China) find better experts for project peer review.
Originality/value
To the authors’ knowledge, this is the first publication that proposes an algorithm that applies an impartial approach to the project review expert assignment process. The simulation results show the effectiveness of the proposed method.