The paper’s aim is twofold: to display how the application of social network analysis techniques to observational data provides researchers with a unique set of data to make sense of the dynamics of organizational settings; to contribute to knowledge on group design, self-managing teams, and processes of technology diffusion.The paper focuses on the findings of qualitative research, recently published, that we conducted in a major Italian clothing company producing garments for the top-end market. We employed observations, ethnographic interviews and analysis of documents for data collection. We used coding procedures and social network analysis techniques to analyse data. The long presence in the field allowed us to build two grounded theories. One deals with the process of CAD technology diffusion into a small group and it connects a number of variables usually studied separately in the literature. The second accounts for the enactment of spontaneous self-managing practices in a group formally designed as a manager-led team.
|Data di pubblicazione:||2007|
|Titolo:||Discovering complex interdependencies in organizational settings: the role of social network analysis in qualitative research|
|Autore/i:||F. BERTOLOTTI; M. R. TAGLIAVENTI|
|Codice identificativo Scopus:||2-s2.0-84945498781|
|Citazione:||Discovering complex interdependencies in organizational settings: the role of social network analysis in qualitative research / F. BERTOLOTTI; M. R. TAGLIAVENTI. - In: QUALITATIVE RESEARCH IN ORGANIZATIONS AND MANAGEMENT. - ISSN 1746-5648. - ELETTRONICO. - 2, 1(2007), pp. 43-61.|
|Tipologia||Articolo su rivista|
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