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A critical analysis of large scale research infrastructures’ performances

Isabella Nocella (Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.)
Roberto Linzalone (Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.)
Salvatore Ammirato (Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.)
Alberto Michele Felicetti (Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.)

Measuring Business Excellence

ISSN: 1368-3047

Article publication date: 25 December 2023

Issue publication date: 23 February 2024

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Abstract

Purpose

Large scale research infrastructures (LSRIs) are rising in the competitive and globalized research environment, since they offer to external researchers-users, inputs and services for cutting-edge, large scale researches. Such researches would not be possible with usual infrastructures and budgets of single universities and research institutions. However, despite the strategic relevance acknowledged to LSRI by the nascent literature and by national policymakers, there is a lack of understanding of configurations and key performances of a LSRI. This paper aims to bridge this gap by identifying key morphologies of LSRIs and analysing their performances.

Design/methodology/approach

The research is carried out adopting a mixed research methodology, merging a literature review with a survey conducted on a sample of 11 LSRIs; they provided the data set for the parametrization of a morphological matrix.

Findings

The research led to the identification of seven LSRIs morphologies, with different performance linked to their structure.

Originality/value

To the best of the authors’ knowledge, this paper originally proposes the data set needed to develop a morphological analysis of LSRIs.

Keywords

Acknowledgements

This paper’s results, however, provide the basis and the direction for a full application and analysis of the GMA for LSRIs, which will fulfil an open question for both scholarship and policymakers.

Citation

Nocella, I., Linzalone, R., Ammirato, S. and Felicetti, A.M. (2024), "A critical analysis of large scale research infrastructures’ performances", Measuring Business Excellence, Vol. 28 No. 1, pp. 22-38. https://doi.org/10.1108/MBE-09-2023-0140

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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