An Investigation of the Translational Asset: A Proposed Classification

Gennaro Strazzullo (), William J. Ion () and Jillian MacBryde ()
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Gennaro Strazzullo: University of Strathclyde
William J. Ion: University of Strathclyde
Jillian MacBryde: University of Strathclyde

Journal of the Knowledge Economy, 2022, vol. 13, issue 4, No 22, 3123-3149

Abstract: Abstract Translational assets (TAs) are considered one of the actors that play a critical role within the national innovation system (NIS) of every country that embraces university, government, and industry collaboration. Moreover, these organisations have been established to support industries, companies, and particularly SMEs, filling the university-industry gap. Although the establishment of translational assets creates many benefits, this organisational ecosystem has been a controversial topic. It is hampered by a lack of consensus on how to define and classify translational assets. The problem arises because of their heterogeneity. This study identifies the critical factors for presenting a general classification from the analysis of academic papers and technical reports. The proposed classification is built, showing the factors of organisational structure, resources, and motivation for collaboration on a bidirectional continuum. Therefore, this paper’s findings provide a proposed classification of three main types of TAs, which are as follows: exploratory, plug, and developer/solver. This is a heuristic classification that provides enrichment to the literature and a better understanding for practitioners of these organisations' behaviour.

Keywords: Translational asset; Applied research; Classification; Theoretical typology (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13132-021-00816-8

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