A Knowledge Management Strategy to Identify an Expert in Enterprise

Matteo Gaeta (), Rossella Piscopo (), Luigi Rarità (), Luigi Trevisant () and Daniele Novi ()
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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

A chapter in Smart Organizations and Smart Artifacts, 2014, pp 173-182 from Springer

Abstract: 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.

Keywords: Social network analysis; Enterprise 2.0; Trust; Candidate experts (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-07040-7_17

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DOI: 10.1007/978-3-319-07040-7_17

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