Identifying the Intellectual Capital of Greek Defence Firms. Science Outputs and Industrial Considerations/ Evi Sachini, Konstantinos Sioumalas-Christodoulou, Charalampos Chrysomallidis, Galatios Siganos & Nikolaos Karampekios

By: Contributor(s): Material type: TextTextPublication details: 2022Subject(s): Online resources: In: Defence and Peace Economics Vol 33, No. 3, April 2022, pp.366-385Summary: This paper examines the performance of the Greek defence industry in terms of their (co)authoring of scientific publications. In the context of knowledge-intensive technological and industrial policy, science outputs are important indicators of the respective intellectual capital of those firms. This is done through bibliometric analysis. Findings indicate that there is an increase in the number of publications over time. This is attributed to a small number of over performing firms - among which a super performer is identified. In terms of industrial classification, the NACE codes of these over performing firms overlap the respective bibliometric Subject Area Classifications. This is a clear indication of a match between scientific and industrial priorities. On the author level, findings indicate that a small number of authors (one per the top 10 firms) are responsible for a large (and in many cases, disproportionate) percentile of total publications per firm. Fourth, using keyword network analysis, most frequent keywords are detected pointing to specific topological clusters of research hotspots.
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Journal Article Mindef Library & Info Centre Journals MILITARY (Browse shelf(Opens below)) 1 Not for loan 69123.1001

This paper examines the performance of the Greek defence industry in terms of their (co)authoring of scientific publications. In the context of knowledge-intensive technological and industrial policy, science outputs are important indicators of the respective intellectual capital of those firms. This is done through bibliometric analysis. Findings indicate that there is an increase in the number of publications over time. This is attributed to a small number of over performing firms - among which a super performer is identified. In terms of industrial classification, the NACE codes of these over performing firms overlap the respective bibliometric Subject Area Classifications. This is a clear indication of a match between scientific and industrial priorities. On the author level, findings indicate that a small number of authors (one per the top 10 firms) are responsible for a large (and in many cases, disproportionate) percentile of total publications per firm. Fourth, using keyword network analysis, most frequent keywords are detected pointing to specific topological clusters of research hotspots.

MILITARY, TECHNOLOGY

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