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Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace

AlSheikh, S

Authors

S AlSheikh



Contributors

F Meziane F.Meziane@salford.ac.uk
Supervisor

Abstract

In recent years, Consumer-to-Consumer (C2C) marketplaces have become very popular among
Internet users. However, compared to traditional Business-to-Consumer (B2C) stores, most
modern C2C marketplaces are reported to be associated with stronger negative sentiments
among consumers. On the other hand, these negative sentiments are a result of sellers’ inability
to meet buyers’ expectations. These negative emotions are also linked to the low trust
relationship among sellers and buyers in C2C marketplaces. The growth of these negative
emotions might jeopardize buyers’ decisions to opt for C2C marketplaces in their future
purchase intentions.
In the present study, the concept of trust is explained in a situation characterised by the
following aspects: One party (the trustor) is willing to rely on the actions of another party (the
trustee) in a situation in the future to meet his/her expectations. Based on the buyer’s and
seller’s behaviour in the C2C marketplace, we were able to quantify the trust emotion found in
text. We also performed text mining on Airbnb, a rich source of data in C2C interactions, to
quantify the trust level in host descriptions of offered facilities. Specifically, the research
questions addressed the possibility to infer trust from C2C interactions on Airbnb, as well as
whether it is possible to infer trust from emotions such as joy and fear. The data are acquired
from Ashville, and Boston in the USA, Vancouver in Canada and Manchester in the UK. In
line with our expectations, the results of the analysis demonstrate that negative guest feedback
in Airbnb reviews is stronger when the description of the host’s property expresses the emotion
of joy only. Conversely, negative guest sentiments in reviews are the weakest when the host
sentiment expressed in Airbnb listings is mixed and expresses different balanced emotions
(e.g., joy and fear).

Citation

AlSheikh, S. Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace. (Thesis). University of Salford

Thesis Type Thesis
Deposit Date Apr 21, 2021
Publicly Available Date Apr 21, 2021
Award Date Oct 1, 2019

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