An evolutionary trust game for the sharing economy

Title
An evolutionary trust game for the sharing economy
Publication Date
2017
Author(s)
Chica, Manuel
Chiong, Raymond
( author )
OrcID: https://orcid.org/0000-0002-8285-1903
Email: rchiong@une.edu.au
UNE Id une-id:rchiong
Adam, Marc T P
Damas, Sergio
Teubner, Timm
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
IEEE
Place of publication
United States of America
DOI
10.1109/CEC.2017.7969610
UNE publication id
une:1959.11/61453
Abstract

In this paper, we present an evolutionary trust game to investigate the formation of trust in the so-called sharing economy from a population perspective. To the best of our knowledge, this is the first attempt to model trust in the sharing economy using the evolutionary game theory framework. Our sharing economy trust model consists of four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer, and an untrustworthy consumer. Through systematic simulation experiments, five different scenarios with varying proportions and types of providers and consumers were considered. Our results show that each type of players 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. Our findings may have important implications for understanding the emergence of trust in the context of sharing economy transactions.

Link
Citation
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, CEC, p. 2510-2517
ISBN
9781509046010
9781509046027
Start page
2510
End page
2517

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