A critical analysis of large scale research infrastructures’ performances

Author:

Nocella Isabella,Linzalone Roberto,Ammirato Salvatore,Felicetti Alberto Michele

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.

Publisher

Emerald

Subject

Organizational Behavior and Human Resource Management,General Business, Management and Accounting

Reference51 articles.

1. Altman, E.J. (2015), “Platform and ecosystem transitions: strategic and organizational implications”, Doctoral dissertation, Harvard Business School, available at: http://nrs.harvard.edu/urn-3:HUL.InstRepos:16881891.

2. Advanced in sharing and managing knowledge about European research infrastructures,2012

3. What’s the ‘best fit’? Partnership project design and its influence on effectiveness,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3