"This work aims at providing an overview of the centrality measures potentially involved inthe design and implementation process of an Enterprise 2.0-based platform in the Italianautomotive industry. Such a study is aimed at identifying pros and cons of each centrality measure in order to implement an efficient skills management and rewarding system. Thesolution proposed is tailored to the case study at hand and the design process has taken intoaccount the specific features and needs of automotive firms. By a methodological standpoint,this paper adopts a case study approach with a qualitative research about centrality measures. To authors’ knowledge, it has a relevant scientific interest since it is among the few applied studies on centrality measures geared to the automotive industry and proposes an unexploredsolution for skills management and rewarding system in the context at hand."

"CENTRALITY MEASURES FOR AN ENTERPRISE 2.0-BASED R&D PROJECT: A CASE STUDY IN THE AUTOMOTIVE INDUSTRY"

PALMIERI, Roberto;Giglio C.
2015-01-01

Abstract

"This work aims at providing an overview of the centrality measures potentially involved inthe design and implementation process of an Enterprise 2.0-based platform in the Italianautomotive industry. Such a study is aimed at identifying pros and cons of each centrality measure in order to implement an efficient skills management and rewarding system. Thesolution proposed is tailored to the case study at hand and the design process has taken intoaccount the specific features and needs of automotive firms. By a methodological standpoint,this paper adopts a case study approach with a qualitative research about centrality measures. To authors’ knowledge, it has a relevant scientific interest since it is among the few applied studies on centrality measures geared to the automotive industry and proposes an unexploredsolution for skills management and rewarding system in the context at hand."
2015
978-80-87952-10-8
Enterprise 2.0; Italian automotive industry case study; Centrality measures; Social network analysis; R&D project
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/170094
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