Abstract
This paper studies dishonest sellers in the e-commerce market,
specifically their impact on the market under different conditions. We consider
the role of consumers’ social and individual learning and social network
branches on the market. We rely on a quality uncertainty market model
(Izquierdo et al., 2007) and a trust game
model (Wierzbicki et al., 2014) to establish an agent-based model. Our approach
considers the proportion of honest and dishonest sellers, the reputation of
sellers, and the expectation of quality among consumers after purchasing the
goods. The results of the study reveal that when dishonest sellers appear in a
market with a high degree of quality uncertainty, there is a negative impact on
the market, including a decline in consumer expected quality of products in the
market, a decrease in commodity transaction volume and market price, and a
decrease in seller income. The impact is more pronounced in markets with a
higher proportion of dishonest sellers.
JEL classification numbers: C15, C63, D21, B82, B83.
Keywords: Agent-Based
modeling, E-commerce market, Dishonest sellers, Trust game, Reputation of sellers.