Cited by 100Technology Adoption and User BehaviourConsumer Behavior and Marketing InfluenceDigital Marketing and Social Media

The art of appeal in electronic commerce: Understanding the impact of product and website quality on online purchases

Open access
Liu, Fei, Xiao, Bo, Lim, Eric T.K., Tan, Chee-Wee·2017·Internet Research

Abstract

Purpose: The purpose of this paper is to advance product appeal and website appeal as focal psychological mechanisms that can be invoked by business-to-consumer e-commerce sites to mitigate problems of information asymmetry via signaling to bolster consumers’ purchase intention under the influence of trust. Design/methodology/approach: Survey approach was employed to validate the research model. Findings: Website appeal partially mediates the positive effect of product appeal on consumers’ purchase intention. Trust in e-commerce sites not only increases purchase intention directly, but it also reinforces the positive relationship between website appeal and purchase intention while attenuating the positive relationship between product appeal and purchase intention. Service content quality, search delivery quality, and enjoyment are confirmed as positive antecedents of website appeal whereas diagnosticity and justifiability are established as positive antecedents of product appeal. Research limitations/implications: This study not only delineates product and website appeal as complementary drivers of consumer purchase on e-commerce sites, but it also derives five signals that aid in bolstering both product and website appeal. Trust is revealed to exert a moderating influence on the impact of product and website appeal on purchase intention. Practical implications: Practitioners should prioritize their resource allocation to enhance qualities most pertinent to product and website appeal. E-commerce sites should offer product-oriented functionalities to facilitate product diagnosticity and reassure consumers of their purchase decisions. Originality/value: This study distinguishes between product and website appeal as well as between their respective antecedents. It also uncovers how trust can alter the effects of both website and product appeal on consumers’ purchase intention.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/intr-09-2016-0280

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 91 · Cited by 100

Authors
Liu, F., Xiao, B., Lim, E. T. K., & Tan, C.-W.
Affiliations
  • Copenhagen Business School (DK)
  • University of Hawaiʻi at Mānoa (US)
  • UNSW Sydney (AU)
Venue
Internet Research
Publisher
Emerald
Published
2017-08-07
Volume
27
Issue
4
Pages
752-771
ISSN
1066-2243 (ISSN-L)
OpenAlex
W2622416101
Cited by
100
References
91
Citations by year
2026: 3 · 2025: 6 · 2024: 16 · 2023: 11 · 2022: 14 · 2021: 16 · 2020: 14 · 2019: 13 · 2018: 6 · 2017: 1
FWCI
14.95
Type
journal article
Language
en
Open access
Locations
  • Internet Research (publishedVersion)
  • CBS Research Portal (Copenhagen Business School) (acceptedVersion, other-oa)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
Keywords
product appeal, e-commerce, purchase intention, consumer trust, information asymmetry, signaling, B2C e-commerce, diagnosticity, justifiability, consumer enjoyment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review