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Una survey nazionale per valutare l?efficacia della comunicazione istituzionale nella gestione del Covid-19

Author

Listed:
  • Marco Benvenuto
  • Francesco Sambati
  • Carmine Viola

Abstract

La comunicazione istituzionale, nelle sue varie forme, è una leva centrale dell?azione di governo, della relazione tra istituzioni e cittadino. In questo contesto assumono valore strategico gli strumenti della comunicazione istituzionale.Il livello di attenzione sulle dinamiche della comunicazione istituzionale, nel periodo Covid-19, evidenzia il cambiamento della realtà pubblica e l?apertura della medesima verso una nuova managerialità, intesa come processo di modernizzazione organizzativa, gestionale, culturale, informativa e informatica. Il contributo scientificointende valutare, nell?ambito di questo nuovo dibattito manageriale, le relazioni tra istituzioni e cittadino nel rapporto comunicazione istituzionale e Covid-19.

Suggested Citation

  • Marco Benvenuto & Francesco Sambati & Carmine Viola, 2022. "Una survey nazionale per valutare l?efficacia della comunicazione istituzionale nella gestione del Covid-19," MECOSAN, FrancoAngeli Editore, vol. 2022(121), pages 31-56.
  • Handle: RePEc:fan:mesame:v:html10.3280/mesa2022-121oa13858
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    References listed on IDEAS

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    1. Kate Holland & R. Warwick Blood & Michelle Imison & Simon Chapman & Andrea Fogarty, 2012. "Risk, expert uncertainty, and Australian news media: public and private faces of expert opinion during the 2009 swine flu pandemic," Journal of Risk Research, Taylor & Francis Journals, vol. 15(6), pages 657-671, June.
    2. Catherine Mei Ling Wong & Olivia Jensen, 2020. "The paradox of trust: perceived risk and public compliance during the COVID-19 pandemic in Singapore," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 1021-1030, August.
    3. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    4. Marco Benvenuto & Angelo Rosa & Carmine Viola, 2020. "Analisi prospettica per il design di un nuovo dominio di pianificazione, programmazione e controllo sociotecnico nel settore della salute," MECOSAN, FrancoAngeli Editore, vol. 2020(113), pages 259-269.
    5. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    6. Jones, Sandra C. & Waters, Louise & Holland, Omnia & Bevins, John & Iverson, Don, 2010. "Developing pandemic communication strategies: Preparation without panic," Journal of Business Research, Elsevier, vol. 63(2), pages 126-132, February.
    7. Kosec, Katrina & Wantchekon, Leonard, 2020. "Can information improve rural governance and service delivery?," World Development, Elsevier, vol. 125(C).
    8. Claudio Costantino & Vincenzo Restivo & Gianmarco Ventura & Claudio D’Angelo & Maria Angela Randazzo & Nicolò Casuccio & Mario Palermo & Alessandra Casuccio & Francesco Vitale, 2018. "Increased Vaccination Coverage among Adolescents and Young Adults in the District of Palermo as a Result of a Public Health Strategy to Counteract an ‘Epidemic Panic’," IJERPH, MDPI, vol. 15(5), pages 1-8, May.
    9. Marco Benvenuto & Alexandru Avram & Francesco Vincenzo Sambati & Marioara Avram & Carmine Viola, 2020. "The Impact of Internet Usage and Knowledge-Intensive Activities on Households’ Healthcare Expenditures," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
    10. Angelo Rosa & Giuliano Marolla & Marco Benvenuto, 2020. "Il modello Value-Based Health Care: una possibile risposta alla gestione Covid-19," MECOSAN, FrancoAngeli Editore, vol. 2020(113), pages 243-257.
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