Networks of “Weak” Ties of Padua University Graduates Searching for Employment
Anna Boaretto,
Gilda Rota,
Ilaria Silvestri and
Luigi Fabbris
Additional contact information
Anna Boaretto: Padua University
Gilda Rota: Padua University
Ilaria Silvestri: Padua University
Luigi Fabbris: Padua University
A chapter in Effectiveness of University Education in Italy, 2007, pp 123-139 from Springer
Abstract:
Summary In this paper, we apply a model for the analysis of job search effectiveness through the so-called “weak ties”, i.e. the personal links through which the attainment of a work position may be favoured. We analyse weak ties with reference to the first job research by the University of Padua graduates through family, friendship and university links. To obtain a work position more coherent with a graduate’s educational investment, we analyse, too, the information about job opportunities that colleagues communicate to employed graduates. By hypothesising that graduates use their personal links in different portions, we segment, by means of a multivariate method, the sample of graduates according to the faculty and, within faculty, according to the curricular and social characteristics of graduates.
Keywords: Weak ties; Job Search; Parental links; Educational links; Professional links; Graduates; Padua University (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
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:spr:sprchp:978-3-7908-1751-5_9
Ordering information: This item can be ordered from
http://www.springer.com/9783790817515
DOI: 10.1007/978-3-7908-1751-5_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().