Anatomy of the Italian occupational structure: concentrated power and distributed knowledge
Armanda Cetrulo,
Dario Guarascio and
Maria Enrica Virgillito
LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Abstract:
Which type of work do Italians perform? In this contribution we aim at detecting the anatomy of the Italian occupational structure by taking stock of a micro-level dataset registering the task content, the execution of procedures, the knowledge embedded in the work itself, called ICP (Indagine Campionaria sulle Professioni), the latter being comparable to the U.S. O*NET dataset. We perform an extensive empirical investigation moving from the micro to the macro level of aggregation. Our results show that the Italian occupational structure is strongly hierarchical, with the locus of power distinct by the locus of knowledge generation. It is also weak in terms of collaborative and worker involvement practices, and possibility to be creative. Our analysis allows to pinpoint the role exerted by hierarchical structures, decision making autonomy, and knowledge as the most relevant attributes characterizing the division of labour.
Keywords: Occupational structure; power; knowledge; factor analysis. (search for similar items in EconPapers)
Date: 2019-10-29
New Economics Papers: this item is included in nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2019-34.pdf (application/pdf)
Related works:
Journal Article: Anatomy of the Italian occupational structure: concentrated power and distributed knowledge (2020) 
Working Paper: Anatomy of the Italian occupational structure: concentrated power and distributed knowledge (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2019/34
Access Statistics for this paper
More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).