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What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic

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Listed:
  • Andrea Guazzini

    (Department of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, 50121 Florence, Italy
    Centre for the Study of Complex Dynamics, University of Florence, 50121 Florence, Italy)

  • Maria Fiorenza

    (Department of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, 50121 Florence, Italy)

  • Gabriele Panerai

    (Department of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, 50121 Florence, Italy)

  • Mirko Duradoni

    (Department of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, 50121 Florence, Italy)

Abstract

Together with vaccines, contact tracing systems (CTS) have proved to be one of the best strategies to deal with the current COVID-19 pandemic. However, the adoption of such systems has been quite limited in EU countries, and Italy was no exception. The present research aimed to investigate the factors drawn from the most relevant psychological models in the literature, most associated with the adoption of CTS. The data analysis of the 501 surveyed answers (329 from CTS adopters) showed that knowing important others who have downloaded the CTS, CTS attitudes, CTS perceived efficacy, COVID-19 risk perception, and trust in the government and its actions influenced the adoption of the Italian CTS (52% of explained variance). These factors defined a new specific model that can be used to more effectively promote CTS adoption and thus increase the protective potential of these technologies, whose effectiveness is inevitably linked to adoption.

Suggested Citation

  • Andrea Guazzini & Maria Fiorenza & Gabriele Panerai & Mirko Duradoni, 2021. "What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic," Future Internet, MDPI, vol. 13(11), pages 1-20, November.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:11:p:286-:d:679812
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    1. Oyelaran-Oyeyinka, Banji & Adeya, Catherine Nyaki, 2002. "Internet Access in Africa: An Empirical Exploration," UNU-INTECH Discussion Paper Series 2002-05, United Nations University - INTECH.
    2. Anders Persson & Mikael Laaksoharju & Hiroshi Koga, 2021. "We Mostly Think Alike: Individual Differences in Attitude Towards AI in Sweden and Japan," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 123-142, June.
    3. Shaila Jamal & Muhammad Ahsanul Habib, 2019. "Investigation of the use of smartphone applications for trip planning and travel outcomes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(3), pages 227-243, April.
    4. Stephanie Watts Sussman & Wendy Schneier Siegal, 2003. "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, INFORMS, vol. 14(1), pages 47-65, March.
    5. Magda Osman & Scott McLachlan & Peter Lucas & Kudakwashe Dube & Graham A. Hitman & Evangelia Kyrimi & Martin Neil, 2020. "The thorny problems of COVID-19 Contact Tracing Apps: The need for a holistic approach," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 57-61, June.
    6. Gabriele Prati & Luca Pietrantoni & Bruna Zani, 2011. "A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 645-656, April.
    7. Mariscal, Judith, 0. "Digital divide in a developing country," Telecommunications Policy, Elsevier, vol. 29(5-6), pages 409-428, June.
    8. Simon Munzert & Peter Selb & Anita Gohdes & Lukas F. Stoetzer & Will Lowe, 2021. "Tracking and promoting the usage of a COVID-19 contact tracing app," Nature Human Behaviour, Nature, vol. 5(2), pages 247-255, February.
    9. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
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