What is preventing e-commerce from reaching its full potential? An investigation into trust as a barrier for the adoption of B2C e-commerce in the United Kingdom
posted on 2013-05-13, 11:16authored bySarah Malone
Although electronic commerce has seen considerable growth in recent years, usage
figures suggest that U.K consumers are still hesitant to make the switch to onJine
shopping.
This study initially reviewed the literatures on trust, Internet security, consumer
purchasing behaviour and electronic commerce, and then combined the literature
review findings with initial results obtained from a pilot study, and a model
identifying the factors that affect consumers' perceived trustworthiness of web sites
when making purchasing decisions on the Internet was created. The model was then
tested by means of a consumer perception survey that used a novel quantitative survey
instrument to investigate current consumer perceptions of e-commerce, from the
perspective of both Internet and Non Internet users, and determined the main barrier
to business to consumer (B2C) electronic commerce as identified by the potential
consumers themselves.
These quantitative findings were then used to further develop the model of trust,
encompassing all the potential factors that the research identified could impact on a
consumer's perceived level of trust in a web site, thus ultimately affecting their
decision to purchase. This model was then tested through further qualitative research
that incorporated observational studies to test consumer reactions to an onJine
shopping scenario, using a special selection of web sites that should have (based on
the model) a positive or negative influence on consumers' trust.
Although the research design was qualitative in nature, a triangulation approach was
adopted to ensure that the information generated was highly relevant and directly
applicable to the creation of a model of trust. The model was revised, with the final version named the Model of Factors Affecting Consumer Trust Online
(M.O.F.A.C.T.O). The implications of the model and recommendations for further
research are discussed.
History
School
Science
Department
Information Science
Publication date
2008
Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.