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Investigating the Evolving Knowledge Structures in New Technology Development

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProduct Lifecycle Management to Support Industry 4.0
Subtitle of host publication15th IFIP WG 5.1 International Conference, PLM 2018, Turin, Italy, July 2-4, 2018, Proceedings
Publisher or commissioning bodySpringer, Cham
Pages523-533
ISBN (Electronic)9783030016142
ISBN (Print)9783030016135
DOIs
DateAccepted/In press - 1 May 2018
DatePublished (current) - 8 Dec 2018

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer Nature
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Abstract

The development of new technology has been identified as one of the key enablers to support business and economic growth in developed countries. For example, the United Kingdom (UK) has invested £968 Million into the creation of Catapult centres to provide ‘pull through’ of low Technology Readiness Level (TRL) research and science. While these Catapults have been instrumental in developing new technologies, the uptake of new technology within industry remains a considerable challenge. One of the reasons for this is that of skills and competencies, and in particular, defining the new skills and competencies necessary to effectively apply and operate the new technology within the context of the business. Addressing this issue is non-trivial because the skills and competencies cannot be defined a priori and will evolve with the maturity of the technology. Therefore, there is a need to create methods that enable the elicitation and definition of skills and competencies that co-evolve with new technology development, and what are referred to herein as knowledge structures. To meet this challenge, this paper reports the results from a dynamic co-word network analysis of the technical documentation from New Technology Development (NTD) programmes at the National Composites Centre (NCC). Through this analysis, emerging knowledge structures can be identified and monitored, and be used to inform industry on the skills & competencies required for a technology.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Springer Cham at https://doi.org/10.1007/978-3-030-01614-2_48 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF document

    Licence: Other

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