Impact of heuristic–systematic cues on the purchase intention of the electronic commerce consumer through the perception of product quality
Metadatos
Afficher la notice complèteEditorial
Elsevier
Materia
Perceived product quality Heuristic–systematic model Dual-process theory
Date
2024-07-02Referencia bibliográfica
E. Rosillo-Díaz et al. 81 (2024) 103980. [https://doi.org/10.1016/j.jretconser.2024.103980]
Patrocinador
F.P.U. grant from the Spanish Ministry of Science, Innovation and Universities (grant number FPU17/ 03002); Universidad de Granada / CBUARésumé
For electronic commerce (e-commerce) consumers, it is impossible to evaluate the quality of the products on
offer as they are unable to physically test them before purchase. Therefore, sellers must convey quality cues that
are readily identifiable to such consumers. However, thanks to major technological advances and the development
of social interaction systems on e-commerce platforms, individuals can now access large volumes of information
(reviews, opinions, ratings) posted directly by fellow consumers, which can also provide cues by which
to judge product quality, pre-purchase. Based on dual-process theory and signaling theory, the objective of this
study is to analyze the impact of the heuristic or systematic cues related to electronic word-of-mouth on consumer
perceived product quality, to determine how this quality affects perceived product performance risk and
consumer purchase intention. A quantitative approach was taken using a structured online questionnaire. Data
were collected from 835 consumers of e-commerce platforms and analyzed using maximum likelihood structural
equation modeling and LISREL software. The results show that the quantity of reviews, source credibility, review
usefulness, and brand experience all exert a positive and significant effect on perceived product quality, which, in
turn, positively and significantly influences purchase intention. A negative and significant relationship between
product performance risk and purchase intention is also found. The findings contribute to the literature by
improving our understanding of those determinants of perceived product quality in e-commerce that motivate
consumers to make a purchase and can help sellers improve their use of integrated social interaction tools to
adequately reflect the quality of their products.