# Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/consumers-are-willing-to-pay-a-price-for-explainable-but-not-for-green-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pascal D. König,Stefan Wurster,Markus Β. Siewert |
| Citations | 55 |
| DOI | 10.1177/20539517211069632 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.sagepub.com/doi/pdf/10.1177/20539517211069632 |
| OpenAlex ID | https://openalex.org/W4206323673 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Stefan Wurster](https://scholariq.org/researchers/stefan-wurster/)
- [Markus Β. Siewert](https://scholariq.org/researchers/markus-siewert/)

## Paper primary topic

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)

## Paper topics

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Privacy, Security, and Data Protection](https://scholariq.org/topics/privacy-security-and-data-protection/)
- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)

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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.