• DocumentCode
    2809919
  • Title

    Case-Based Reasoning to Support Work and Learning in Small and Medium Enterprises

  • Author

    Bandini, Stefania ; Manzoni, Sara ; Sartori, Fabio

  • Author_Institution
    DISCo Dept. of Comput. Sci., Syst. & Commun., Univ. of Milano-Bicocca, Milan, Italy
  • fYear
    2009
  • fDate
    2-4 Nov. 2009
  • Firstpage
    253
  • Lastpage
    260
  • Abstract
    A new and challenging scenario for knowledge management (KM) is the development of conceptual and computational frameworks to support small and medium enterprises (SMEs) in formalizing their knowledge models, improving their capability to innovate and limiting their drawbacks in tackling wider competitors. SMEs are companies whose head count or turnover falls below certain limits. SMEs are typically characterized by high levels of creativity, which allow them to design and manufacture innovative products. However, SMEs are also characterized by significant technological gaps with respect to wider organizations and may suffer significantly in terms of loss of key personnel and company experiential knowledge and competences. This paper presents complex knowledge structures (CKS), a methodological and computational framework for representation and management of experiential and social knowledge of SMEs based on storytelling and case based reasoning (CBR) paradigms. The application of the framework will be exemplified within the context of flexibly beyond project, in which CKS has been proposed to support SMEs of the shoe manufacturing industry in the North Eastern Italy.
  • Keywords
    case-based reasoning; knowledge management; knowledge representation; small-to-medium enterprises; North Eastern Italy; case-based reasoning; complex knowledge structures; knowledge management; knowledge models; manufacture innovative products; shoe manufacturing industry; small and medium enterprises; social knowledge representation; Artificial intelligence; Business; Companies; Computer science; Footwear industry; Knowledge management; Learning; Manufacturing industries; Personnel; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
  • Conference_Location
    Newark, NJ
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-5619-2
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2009.84
  • Filename
    5362935