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A Knowledge Management Strategy to Identify an Expert in Enterprise

In: Smart Organizations and Smart Artifacts

Author

Listed:
  • Matteo Gaeta

    (University of Salerno)

  • Rossella Piscopo

    (University of Salerno)

  • Luigi Rarità

    (University of Salerno)

  • Luigi Trevisant

    (University of Salerno)

  • Daniele Novi

    (University of Salerno)

Abstract

The aim of this paper is to define a strategy to identify, manage and take advantage of competences in the enterprise via figures of opportune experts, with consequent advantages for workers and users in terms of problem solving. In such a context, industrial aspects, such as resources localization, research time and accessibility to the organizational hierarchy and the work load, are also considered. This allows to distinguish three different phases in finding the experts: Initialization, in which a score is assigned to workers on the base of competence levels; Propagation, where the search accuracy is improved using trust and closeness measures; Localization, where updates of scores are made in terms of social and geographical positions of users/enterprises and experts. The three phases allows to identify inside an enterprise the expert, who has the best competence and is close to the resource, that is in the shortest delay possible.

Suggested Citation

  • Matteo Gaeta & Rossella Piscopo & Luigi Rarità & Luigi Trevisant & Daniele Novi, 2014. "A Knowledge Management Strategy to Identify an Expert in Enterprise," Lecture Notes in Information Systems and Organization, in: Leonardo Caporarello & Beniamino Di Martino & Marcello Martinez (ed.), Smart Organizations and Smart Artifacts, edition 127, pages 173-182, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-07040-7_17
    DOI: 10.1007/978-3-319-07040-7_17
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