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Investigating the Evolving Knowledge Structures in New Technology Development

  • J. A. Gopsill
  • P. Shakespeare
  • C. M. Snider
  • L. Newnes
  • B. J. Hicks
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

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.

Keywords

Knowledge management Competency mapping Knowledge structures Graph theory Dynamic network analysis Co-word analysis 

Notes

Acknowledgements

The work reported in this paper has been funded by the Engineering and Physical Sciences Research Council (EPSRC). Grant references EP/K014196/2, EP/R513556/1 & EP/R013179/1.

References

  1. 1.
    Catapult. https://catapult.org.uk. Accessed 20 Feb 2018
  2. 2.
    Blondel, V.D., et al.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), P10008 (2008)CrossRefGoogle Scholar
  3. 3.
    Hagberg, A.A., et al.: Exploring network structure, dynamics, and function using NetworkX. In: Proceedings of the 7th Python in Science Conference (SciPy2008). Pasadena, CA USA, August 2008, pp. 11–15 (2008)Google Scholar
  4. 4.
    Ding, Y., et al.: Bibliometric cartography of information retrieval research by using co-word analysis. Inf. Process. Manag. 37, 6 (2001)CrossRefGoogle Scholar
  5. 5.
    Coulter, N., et al.: Software engineering as seen through its research literature: a study in co-word analysis. JASIST 49(13), 1206–1223 (1998)CrossRefGoogle Scholar
  6. 6.
    Liu, Y., et al.: CHI 1994-2013: mapping two decades of intellectual progress through co-word analysis. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 3553–3562. ACM (2014)Google Scholar
  7. 7.
    Gopsill, J., et al.: The evolution of terminology within a large distributed engineering project. In: ICED (2015)Google Scholar
  8. 8.
    Gopsill, J.A., et al.: Automatic generation of design structure matrices through the evolution of product models. Artif. Intell. Eng. Des. Anal. Manuf. 30(4), 424–445 (2016).  https://doi.org/10.1017/s0890060416000391CrossRefGoogle Scholar
  9. 9.
    Jones, S., et al.: Subject lines as sensors: co-word analysis of e-mail to support the management of collaborative engineering work. In: ICED (2015)Google Scholar
  10. 10.
    Loper, E., et al.: NLTK: the natural language toolkit. In: Proceedings of the ACL-02 Workshop on ETMTNLP, Philadelphia, Pennsylvania, pp. 63–70. Association for Computational Linguistics (2002).  https://doi.org/10.3115/1118108.1118117
  11. 11.
    Newman, M.E.: Analysis of weighted networks. PRE 70(5), 056131 (2004)CrossRefGoogle Scholar
  12. 12.
    Vargo, J., et al.: Crisis strategic planning for SMEs: finding the silver lining. IJoPM 49(18), 5619–5635 (2011).  https://doi.org/10.1080/00207543.2011.563902CrossRefGoogle Scholar
  13. 13.
    Newman, M.E.J.: Modularity and community structure in networks. Proc. Nat. Acad. Sci. 103(23), 8577–8582 (2006)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • J. A. Gopsill
    • 1
  • P. Shakespeare
    • 2
  • C. M. Snider
    • 3
  • L. Newnes
    • 2
  • B. J. Hicks
    • 3
  1. 1.University of BathBathUK
  2. 2.National Composites CentreBristolUK
  3. 3.University of BristolBristolUK

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