IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i11p286-d679812.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/11/286/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/11/286/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Mariscal, Judith, 0. "Digital divide in a developing country," Telecommunications Policy, Elsevier, vol. 29(5-6), pages 409-428, June.
    9. 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.
    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. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
    2. Haris Krijestorac & Rajiv Garg & Prabhudev Konana, 2021. "Decisions Under the Illusion of Objectivity: Digital Embeddedness and B2B Purchasing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2232-2251, July.
    3. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
    4. Rohit Aggarwal & Vishal Midha & Nicholas Sullivan, 2024. "The Effect of Gender Expectations and Physical Attractiveness on Discussion of Weakness in Online Professional Recommendations," Information Systems Research, INFORMS, vol. 35(1), pages 87-103, March.
    5. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    6. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    7. Elbanna, Amany & Newman, Mike, 2022. "The bright side and the dark side of top management support in Digital Transformaion –A hermeneutical reading," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    9. Jinsoo Park & Hamirahanim Abdul Rahman & Jihae Suh & Hazami Hussin, 2019. "A Study of Integrative Bargaining Model with Argumentation-Based Negotiation," Sustainability, MDPI, vol. 11(23), pages 1-21, December.
    10. Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
    11. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    12. Un-Kon Lee, 2021. "The Effect of Confirmation of Nation Brand Image in International Tourism Advertisement on Travel Intention of Foreign Tourists: The Case of Korean ITA for Chinese Tourists," SAGE Open, , vol. 11(1), pages 21582440209, January.
    13. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    14. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    15. Schweizer, T.S., 2002. "Managing interactions between technological and stylistic innovation in the media industries, insights from the introduction of ebook technology in the publishing industry," ERIM Report Series Research in Management ERS-2002-16-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Gabriele Prati & Luca Pietrantoni, 2016. "Knowledge, Risk Perceptions, and Xenophobic Attitudes: Evidence from Italy During the Ebola Outbreak," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 2000-2010, October.
    17. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    18. Neus Vila-Brunet & Josep Llach, 2020. "OSS-Qual: Holistic Scale to Assess Customer Quality Perception When Buying Secondhand Products in Online Platforms," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    19. Affifa Sardar & Amir Manzoor & Khurram Adeel Shaikh & Liaqat Ali, 2021. "An Empirical Examination of the Impact of eWom Information on Young Consumers’ Online Purchase Intention: Mediating Role of eWom Information Adoption," SAGE Open, , vol. 11(4), pages 21582440211, October.
    20. Shi, Yuwei & Herniman, John, 2023. "The role of expectation in innovation evolution: Exploring hype cycles," Technovation, Elsevier, vol. 119(C).

    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:gam:jftint:v:13:y:2021:i:11:p:286-:d:679812. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.