IDEAS home Printed from https://ideas.repec.org/a/fan/mesame/vhtml10.3280-mesa2022-121oa13858.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.francoangeli.it/riviste/Scheda_Rivista.aspx?IDArticolo=71723&Tipo=ArticoloPDF
    Download Restriction: Single articles can be downloaded buying download credits, for info: https://www.francoangeli.it/DownloadCredit
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    3. Kosec, Katrina & Wantchekon, Leonard, 2020. "Can information improve rural governance and service delivery?," World Development, Elsevier, vol. 125(C).
    4. 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.
    5. 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.
    6. 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.
    7. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    8. 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.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Viola, Carmine & Toma, Pierluigi & Manta, Francesco & Benvenuto, Marco, 2021. "The more you know, the better you act? Institutional communication in Covid-19 crisis management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2. Stephanie Lange & Claire-Marie Altrock & Emily Gossmann & Jörg M. Fegert & Andreas Jud, 2022. "COVID-19—What Price Do Children Pay? An Analysis of Economic and Social Policy Factors," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    3. Ismaël Mourifié & Marc Henry & Romuald Méango, 2020. "Sharp Bounds and Testability of a Roy Model of STEM Major Choices," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3220-3283.
    4. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
    5. Giorgio Pietro, 2007. "The effect of computer use on earnings in Italy," Empirical Economics, Springer, vol. 33(2), pages 245-262, September.
    6. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    7. Caroline Bayart & Patrick Bonnel, 2015. "How to Combine Survey Media (Web, Telephone, Face-to-Face): Lyon and Rhône-alps Case Study," Post-Print halshs-01663683, HAL.
    8. Anjana Susarla & Anitesh Barua, 2011. "Contracting Efficiency and New Firm Survival in Markets Enabled by Information Technology," Information Systems Research, INFORMS, vol. 22(2), pages 306-324, June.
    9. Pierre Dubois & Bruno Jullien & Thierry Magnac, 2008. "Formal and Informal Risk Sharing in LDCs: Theory and Empirical Evidence," Econometrica, Econometric Society, vol. 76(4), pages 679-725, July.
    10. Chesher, Andrew, 2013. "Semiparametric Structural Models Of Binary Response: Shape Restrictions And Partial Identification," Econometric Theory, Cambridge University Press, vol. 29(2), pages 231-266, April.
    11. Ramón Ferri-García & María del Mar Rueda, 2022. "Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys," Statistical Papers, Springer, vol. 63(6), pages 1829-1881, December.
    12. K. Poehlmann & R. Helm & O. Mauroner & J. Auburger, 2021. "Corporate spin-offs’ success factors: management lessons from a comparative empirical analysis with research-based spin-offs," Review of Managerial Science, Springer, vol. 15(6), pages 1767-1796, August.
    13. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.
    14. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    15. Asma Hyder & Barry Reilly, 2005. "The Public and Private Sector Pay Gap in Pakistan: A Quantile Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(3), pages 271-306.
    16. Patrick Bayer & Stephen L. Ross, 2006. "Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application," Working papers 2006-13, University of Connecticut, Department of Economics, revised Jan 2009.
    17. Mohammad Usama Toseef & Gail A Jensen & Wassim Tarraf, 2020. "Medicaid managed care and preventable emergency department visits in the United States," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
    18. Giorgio Calzolari & Maria Gabriella Campolo & Antonino Pino & Laura Magazzini, 2023. "Assessing individual skill influence on housework time of Italian women: an endogenous-switching approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 659-679, June.
    19. Zhang, Yuejia & Mayes, David Geoffrey, 2018. "The performance of governmental venture capital firms: A life cycle perspective and evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 162-185.
    20. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fan:mesame:v:html10.3280/mesa2022-121oa13858. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stefania Rosato (email available below). General contact details of provider: http://www.francoangeli.it/riviste/sommario.aspx?IDRivista=180 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.