ArticleInternational journal of information management2022
Explaining citizens' resistance to use digital contact tracing apps: A mixed-methods study.
Article in International journal of information management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.
- Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023Pooled it
- Transforming a Pandemic Tool Into a Public Health Asset: Modified Delphi Study.JMIR public health and surveillance · 2026Article
- Users' intentions to use medical escort service platforms: Based on technology trust and psychological resistance.iScience · 2026Article
- Modeling older adults' continuance intention toward mobile health apps: a dual-path SEM-ANN approach.BMC public health · 2025Article
- Article
- Unpacking public resistance to health Chatbots: a parallel mediation analysis.Frontiers in psychology · 2024Article
- A systematic review and qualitative evidence synthesis of factors affecting mHealth adoption in India.Oxford open digital health · 2024Article
- Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure.JMIR public health and surveillance · 2023Review
- Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study.JMIR human factors · 2023Article
- An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic.Frontiers in digital health · 2023Article
- Impact of Green HRM Practices on Environmental Performance: The Mediating Role of Green Innovation.Frontiers in psychology · 2022Article
- The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK.PloS one · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Governments worldwide are using digital contact tracing (DCT) apps as a critical element in their COVID-19 pandemic lockdown exit strategy. Despite substantial investment in research and development, the public's acceptance of DCT apps has been phenomenally low, signaling resistance among potential users. Little is known about why people would resist using the DCT app, a useful innovation that can potentially save millions of human lives. This study explores the determinants and consequences of citizens' resistance to use DCT apps using a sequential two-stage mixed-methods approach. The preliminary qualitative study analyzed interviews of 24 Indian smartphone users who chose not to use or discontinued the DCT app after an initial trial. In the quantitative stage, an integrated model based on innovation resistance theory and distrust theory was tested using the survey data collected from 194 non-adopters of the DCT app from India. The findings revealed that the factors, distrust, value barrier, information privacy concerns, and usage barrier predicted the resistance to the DCT app, and resistance, in turn, predicted intention to use. Additionally, distrust was found to be a key mediator between innovation barriers and resistance. The insights from this study could help the developers and policymakers formulate strategies for implementing DCT interventions during future disease outbreaks.
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Registered trials
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