The Confidential counsellor is a professional figure who was introduced to combat discrimination, harassment and bullying in public and private work contexts. This was done on the recommendation of the European Union (Recommendation 92/131/EEC). Despite the nomenclature used in its title, the role of the Confidential counsellor does not entail the provision of advisory services to management personnel. Instead, it functions as an impartial entity responsible for the active listening and assistance provided in situations of labour discomfort. This impartiality is crucial, as it enables the Confidential counsellor to act as a mediating entity in the resolution of such issues. This is achieved through the implementation of tools such as Codes of Conduct, which delineate substantive and procedural guidelines aimed at safeguarding the dignity of workers, while fostering the prevention and management of workplace conflicts. The role of the Confidential counsellor is founded on EU law and collective bargaining; however, in Italy, it remains unregulated at the national legislative level. The current regulatory framework is dependent on voluntary adoption of Codes of Conduct by administrations or companies, resulting in an inconsistent implementation. This study aims to analyze how Istat's code of conduct implements European recommendations and national regulations regarding dignity in the workplace. Additionally, it will analyze the specific competencies of those selected as Confidential counsellor at Istat, as well as reports related to a lack of organizational well-being, to provide an initial assessment of potential labor discomfort among employees.
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
Titolo del capitolo
Organizational well-being in the Italian National Institute of Statistics: The role of confidential counsellor
Autori
Simona Peia, Giuseppina Sola
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.55
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series