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An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy
In this paper, we present an evolutionary trust game, taking punishment and protection into consideration, to investigate the formation of trust in the so-called sharing economy from a population perspective. This sharing economy trust model comprises four types of players: a trustworthy provider, a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930269/ https://www.ncbi.nlm.nih.gov/pubmed/31874960 http://dx.doi.org/10.1038/s41598-019-55384-4 |
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author | Chica, Manuel Chiong, Raymond Adam, Marc T. P. Teubner, Timm |
author_facet | Chica, Manuel Chiong, Raymond Adam, Marc T. P. Teubner, Timm |
author_sort | Chica, Manuel |
collection | PubMed |
description | In this paper, we present an evolutionary trust game, taking punishment and protection into consideration, to investigate the formation of trust in the so-called sharing economy from a population perspective. This sharing economy trust model comprises four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer, and an untrustworthy consumer. Punishment in the form of penalty for untrustworthy providers and protection in the form of insurance for consumers are mechanisms adopted to prevent untrustworthy behaviour. Through comprehensive simulation experiments, we evaluate dynamics of the population for different initial population setups and effects of having penalty and insurance in place. Our results show that each player type influences the ‘existence’ and ‘survival’ of other types of players, and untrustworthy players do not necessarily dominate the population even when the temptation to defect (i.e., to be untrustworthy) is high. Additionally, we observe that imposing a heavier penalty or having insurance for all consumers (trustworthy and untrustworthy) can be counterproductive for promoting trustworthiness in the population and increasing the global net wealth. Our findings have important implications for understanding trust in the context of the sharing economy, and for clarifying the usefulness of protection policies within it. |
format | Online Article Text |
id | pubmed-6930269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69302692019-12-27 An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy Chica, Manuel Chiong, Raymond Adam, Marc T. P. Teubner, Timm Sci Rep Article In this paper, we present an evolutionary trust game, taking punishment and protection into consideration, to investigate the formation of trust in the so-called sharing economy from a population perspective. This sharing economy trust model comprises four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer, and an untrustworthy consumer. Punishment in the form of penalty for untrustworthy providers and protection in the form of insurance for consumers are mechanisms adopted to prevent untrustworthy behaviour. Through comprehensive simulation experiments, we evaluate dynamics of the population for different initial population setups and effects of having penalty and insurance in place. Our results show that each player type influences the ‘existence’ and ‘survival’ of other types of players, and untrustworthy players do not necessarily dominate the population even when the temptation to defect (i.e., to be untrustworthy) is high. Additionally, we observe that imposing a heavier penalty or having insurance for all consumers (trustworthy and untrustworthy) can be counterproductive for promoting trustworthiness in the population and increasing the global net wealth. Our findings have important implications for understanding trust in the context of the sharing economy, and for clarifying the usefulness of protection policies within it. Nature Publishing Group UK 2019-12-24 /pmc/articles/PMC6930269/ /pubmed/31874960 http://dx.doi.org/10.1038/s41598-019-55384-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chica, Manuel Chiong, Raymond Adam, Marc T. P. Teubner, Timm An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title | An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title_full | An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title_fullStr | An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title_full_unstemmed | An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title_short | An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy |
title_sort | evolutionary game model with punishment and protection to promote trust in the sharing economy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930269/ https://www.ncbi.nlm.nih.gov/pubmed/31874960 http://dx.doi.org/10.1038/s41598-019-55384-4 |
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