The quality of work in public universities with no-parametric statistical models

The quality of work in public universities with no-parametric statistical models The existing studies investigating well-being in public universities indicate that there are unresolved issues: how does one measure the quality of work and the quality of the organisation in the university sector? What is the quality of life for Italian researchers in the workplace? What information can provide results in terms of suggesting new governance structures? The aim of this study is to answer these questions using a sample survey and the results obtained from the PIR 2012 project, “Productivity of Italian Researchers”. The information is obtained from micro data at a highly specific level and represents a first step toward an in-depth examination of an issue that is related more to theory than to empirical analysis. This objective was achieved through multivariate statistical models that determine the relationship between the quality of work, the quality of the organisation and governance policies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

The quality of work in public universities with no-parametric statistical models

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Publisher
Springer Netherlands
Copyright
Copyright © 2014 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-9990-1
Publisher site
See Article on Publisher Site

Abstract

The existing studies investigating well-being in public universities indicate that there are unresolved issues: how does one measure the quality of work and the quality of the organisation in the university sector? What is the quality of life for Italian researchers in the workplace? What information can provide results in terms of suggesting new governance structures? The aim of this study is to answer these questions using a sample survey and the results obtained from the PIR 2012 project, “Productivity of Italian Researchers”. The information is obtained from micro data at a highly specific level and represents a first step toward an in-depth examination of an issue that is related more to theory than to empirical analysis. This objective was achieved through multivariate statistical models that determine the relationship between the quality of work, the quality of the organisation and governance policies.

Journal

Quality & QuantitySpringer Journals

Published: Jan 23, 2014

References

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