Summary of studies on contact tracing mobile apps (CTMA) from the information systems (IS) field
| Reference | Focus | Theory | Method | Findings |
|---|---|---|---|---|
| Bhattacharya and Ramos (2021) | Privacy and confidentiality related to CTMA | / | Qualitative study | CTMA should emphasize privacy protection and data confidentiality |
| Bitzer et al. (2021) | The algorithmic transparency of CTMA | Algorithmic transparency | Experiment | Algorithmic transparency disclosure is positively and significantly related to app selection, user comprehension and trust |
| Chan and Saqib (2021) | Unwillingness to download and use CTMA | / | Experiment |
|
| Lin et al. (2021) | CTMA use intentions |
| Survey |
|
| Ojo and Rizun (2021) | CTMA use | UTAUT | Computational grounded theory | The top-five most prevalent topics are the need for tracing apps and mandatory use, tracing apps' launch supported by private-sector organizations, anonymity in reporting positive test results, a new business continuity tracker app for employee safety and apps for tracking symptoms |
| Riemer et al. (2020) | IT governance |
| Conceptual paper | The selection of approaches to IT governance is influenced by factors regarding health risks to the population, prior pandemic experience, societal culture and values, governments' role in societies and trust in governments and technologies |
| Rowe et al. (2020) | Failure in CTMA design and adoption |
| Critical research methodology | Alienation from the natural and social reality regarding the COVID-19 pandemic leads to inadequate app design and adoption failure |
| Walter Thiée et al. (2021) | CTMA use | UTAUT | Survey |
|
| Trang et al. (2020) | CTMA acceptance |
| Experiment |
|
| Urbaczewski and Lee (2020) | CTMA use | / | Difference in difference |
|
| Wagner et al. (2021) | Use intentions and continuance intentions |
| Longitudinal online survey |
|
| Reference | Focus | Theory | Method | Findings |
|---|---|---|---|---|
| Privacy and confidentiality related to CTMA | / | Qualitative study | CTMA should emphasize privacy protection and data confidentiality | |
| The algorithmic transparency of CTMA | Algorithmic transparency | Experiment | Algorithmic transparency disclosure is positively and significantly related to app selection, user comprehension and trust | |
| Unwillingness to download and use CTMA | / | Experiment | COVID-19 concerns decrease intentions to download and use CTMA Privacy concerns and social conservatism mediate the impact of COVID-19 concerns on intentions to download and use CTMA | |
| CTMA use intentions | Diffusion of innovation theory Privacy concerns | Survey | Trust beliefs, compatibility and relative advantage positively affect citizens' adoption intentions Privacy concerns negatively influence trusting beliefs and positively affect risk beliefs | |
| CTMA use | UTAUT | Computational grounded theory | The top-five most prevalent topics are the need for tracing apps and mandatory use, tracing apps' launch supported by private-sector organizations, anonymity in reporting positive test results, a new business continuity tracker app for employee safety and apps for tracking symptoms | |
| IT governance | IT governance | Conceptual paper | The selection of approaches to IT governance is influenced by factors regarding health risks to the population, prior pandemic experience, societal culture and values, governments' role in societies and trust in governments and technologies | |
| Failure in CTMA design and adoption | Critical social theory | Critical research methodology | Alienation from the natural and social reality regarding the COVID-19 pandemic leads to inadequate app design and adoption failure | |
| CTMA use | UTAUT | Survey | The factors influencing individuals' intentions concerning CTMA include ethical considerations, social influence, effort expectancy, popular opinions related to COVID-19 and CTMA Users' behavioral intentions positively affect their actual app use | |
| CTMA acceptance | App specifications | Experiment | Convenience and privacy design positively influence mass acceptance, whereas self-benefit appeal and self-societal-benefit appeal decrease mass acceptance Mass acceptance varies across groups | |
| CTMA use | / | Difference in difference | CTMA are highly and significantly associated with a decreased spread of COVID-19 | |
| Use intentions and continuance intentions | Privacy calculus model Herding heuristics | Longitudinal online survey | Privacy risks negatively affect use intentions, while perceived benefits and imitating others positively influence use intentions Updated benefits and imitating others positively affect continuance intentions |
Note(s): IT = information technology; CTMA = contact tracing mobile apps; UTAUT = unified theory of acceptance and use of technology;/= no theory applied