Advertisement

A Knowledge Lifecycle Model for Measurement of Knowledge Change

  • Wim J C Verhagen
  • Richard Curran
Conference paper

Abstract

In this paper, a Knowledge Lifecycle Model is proposed to enable the characterisation and quantification of change in knowledge elements, which is a potentially important contributing factor in judging the applicability of the knowledge-based system approach for business and engineering tasks.. The model consists of knowledge states and knowledge actions. The latter enable the measurement of knowledge change in various stages of a product lifecycle. The Knowledge Lifecycle Model is tested using airworthiness directives data for initial validation of the model concepts and knowledge behaviour in the aerospace domain. It is shown that knowledge states and actions are an appropriate way of modelling and measuring knowledge, but further quantitative research is needed to validate and generalize the model.

Keywords

Knowledge Knowledge lifecycle Knowledge-based systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. Mis Quarterly, 25(1), 107-136.Google Scholar
  2. Ameri, F., & Dutta, D. (2005). Product lifecycle management: Closing the knowledge loops. Computer-Aided Design and Applications, 2(5), 577-590.Google Scholar
  3. Birkinshaw, J., & Sheehan, T. (2002). Managing the knowledge life cycle. MIT Sloan Management Review, 44(1), 75-83.Google Scholar
  4. Bufardi, A., Folan, P., & Cormican, K. (2005). DR7.1: Concepts for translation and transformation of information to knowledge: PROMISE Consortium 2004 - 2008. 507100 PROMISE; A Project of the 6th Framework Programme Information Society Technologies (IST).Google Scholar
  5. Davenport, T. H., & Prusak, L. (1998). Working Knowledge: How Organisations Manage What They Know. Boston: Harvard Business Press.Google Scholar
  6. EASA. (2012). EASA Airworthiness Directives Publishing Tool. Retrieved 14th February, 2012, from http://ad.easa.europa.eu/
  7. Geddes, N., & Armstrong, R. (1991). Knowledge maintenance in an evolving system using a deep structure representation. Paper presented at the AIAA Computing in Aerospace Conference, Baltimore, MD, USA.Google Scholar
  8. Gielingh, W. F. (2005). Improving the Performance of Construction by Acquisition, Organisation and Use of Knowledge. PhD, Delft University of Technology, Delft.Google Scholar
  9. Hicks, B. J., Culley, S. J., Allen, R. D., & Mullineux, G. (2002). A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design. International Journal of Information Management, 22(4), 263-280. doi:  10.1016/s0268-4012(02)00012-9
  10. Kuhn, O. (2010). Methodology for Knowledge-Based Engineering Update. Ph.D. Ph.D. Dissertation, L’Université Claude Bernard Lyon, Lyon.Google Scholar
  11. Newman, B. D., & Conrad, K. W. (2000). A Framework for Characterizing Knowledge Management Methods, Practices, and Technologies. Paper presented at the Proceedings of PAKM.Google Scholar
  12. Nonaka, I. (1994). A Dynamic Theory of Organizational Knowledge Creation. Organization Science, 5(1), 14-37.Google Scholar
  13. Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and Leadership: A Unified Model of Dynamic Knowledge Creation. Long Range Planning, 33(1), 5-34.Google Scholar
  14. Ouertani, M. Z., Baïna, S., Gzara, L., & Morel, G. (2011). Traceability and management of dispersed product knowledge during design and manufacturing. CAD Computer Aided Design, 43(5), 546-562.Google Scholar
  15. Schorlemmer, M., Potter, S., Robertson, D., & Sleeman, D. (2002). Knowledge Life Cycle Management over a Distributed Architecture. Expert Update, 5(3), 2-19. doi: 10.1.1.6.1917Google Scholar
  16. Siemieniuch, C. E., & Sinclair, M. A. (2004). CLEVER: A process framework for knowledge lifecycle management. International Journal of Operations and Production Management, 24(11), 1104-1125.Google Scholar
  17. Simon, M., Bee, G., Moore, P., Pu, J. S., & Xie, C. (2001). Modelling of the life cycle of products with data acquisition features. Computers in Industry, 45(2), 111-122.Google Scholar
  18. Transport Canada. (1996). Canadian Aviation Regulations - Part V - Standard 593 Appendix A - Airworthiness Directive Format. Retrieved 27th February, 2012, fromGoogle Scholar
  19. Transport Canada. (2002). Canadian Aviation Regulations - Part V - Standard 593 - Airworthiness Directives. Retrieved 27th February, 2012, fromGoogle Scholar
  20. Tuomi, I. (1999). Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organizational memory. Paper presented at the HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on System Sciences.Google Scholar
  21. Van der Spek, R., & Spijkervet, A. (1997). Knowledge management: dealing intelligently with knowledge. New York: CRC PressGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Faculty of Aerospace EngineeringDelft University of TechnologyHS DelftThe Netherlands
  2. 2.Chairholder, Air Transport & Operations. Faculty of Aerospace EngineeringDelft University of TechnologyHS DelftThe Netherlands

Personalised recommendations