# Citizens’ intention to follow recommendations from a government-supported AI-enabled system

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/citizens-intention-to-follow-recommendations-from-a-government-supported-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yi-Fan Wang,Yu‐Che Chen,Shih‐Yi Chien |
| Citations | 45 |
| DOI | 10.1177/09520767231176126 |
| Fields | Computer Science,Engineering,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4377013171 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Yi-Fan Wang](https://scholariq.org/researchers/yi-fan-wang/)

## Paper primary topic

- [Smart Cities and Technologies](https://scholariq.org/topics/smart-cities-and-technologies/)

## Paper topics

- [Smart Cities and Technologies](https://scholariq.org/topics/smart-cities-and-technologies/)
- [COVID-19 Digital Contact Tracing](https://scholariq.org/topics/covid-19-digital-contact-tracing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.