|
For information on the European Conference on Knowledge Management, click here
For information on the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, click here
Downloadable documents on this site require Adobe Acrobat Reader (free download here)
| |
|
Volume 5 Issue 4
Barcelona 2007
Knowledge Management: turning Intangible Assets into Feasibility in the Automotive Sector
Lourdes Sáiz, Ana Maria Lara and Roberto Alcalde
Department of Civil Engineering, University of Burgos, Spain
|
|
|
|
Knowledge Management has become the most strategic resource in the new business environment. This research is based on the analysis of the strategic knowledge held within a multinational group; a leader in the design and production of a great variety of components for the automotive industry. It focuses on achieving feasibility and real applications by identifying knowledge gaps that must be overcome to perform certain activities, so as to make the right decisions on its acquisition in terms of what to acquire, how to acquire it, and the associated time and costs. We use a recently developed artificial neural architecture called Cooperative Maximum-Likelihood Hebbian Learning, a tool to develop part of an Integral Global Model of Business Management, which has the potential to bring about a global improvement in the firm by adding value, flexibility and competitiveness. From this perspective, the model used in the study generalizes the hypothesis of organizational survival and competitiveness, so that the organization is able to identify, strengthen, and use key knowledge to reach pole position. Our conclusions suggest that it is possible to specify the knowledge that is held but is underused in the departments, taking into account their current levels of knowledge, their relevance and the urgency to acquire new knowledge. Moreover, an analysis of the required evolution rate of the present knowledge may be included which, among other aspects helps detect new knowledge, eliminate obsolete knowledge and validate new needs.
Keywords:
management, intangible assets, metaheuristic algorithms.
Download FULL PAPER
Back to Contents
|
|
