product with more reviews is often chosen because of
a signal it sends for being trustworthy and safe.
However, the review count effect is not linear; it has
been shown in many studies that the incremental
benefit of increasing the quantity of reviews
decreases once past a certain point. For example, in
the study of Dellarocas et al., the number of reviews
of different products on e-commerce platforms and
their relationship with sales were collected to explore
how the number of reviews affects consumers' trust
and purchase intention (Dellarocas et al., 2007). The
strength of the association between the number of
reviews and consumers' purchase intention is also
compared through statistical analysis to verify
whether the incremental benefit of the number of
reviews begins to diminish after reaching a certain
threshold. However, the number of reviews alone
may not be enough to make a correct judgment of the
product, especially when the reviews are many but
repetitive or irrelevant, or when the product is being
pushed by a seller or advertisers. In such
circumstances, misleading or distracting reviews
might be of little help in the consumer's decision-
making and may even create confusion.
4.2 Quality of Reviews
Review quality usually has a more direct impact on
consumer purchase intent than review quantity. High-
quality reviews usually contain specific details,
product images, and real-world experiences that help
consumers judge whether the product really
corresponds to the sales description and whether it
will satisfy their actual needs. For example, in the
case of high-risk or experiential products, detailed
reviews can provide specialized information that
consumers need in order to reduce uncertainty and
gain trust. Moreover, the effectiveness of reviews
depends on the language used because in high-quality
reviews, the emotions and information are conveyed
much better and hence offer a significant influence on
the consumers.
4.3 Matching Between Ratings and
Reviews
The alignment of ratings, with written reviews can
greatly influence how consumers perceive and decide
about products according to research findings.
Showing that when ratings and review content aligns
well together it tends to result in reliable product
assessments by consumers as opposed to when theres
a discrepancy, between the two which could cause
confusion or uncertainty. Consumers may lose trust
in ratings if they are high. The reviews lack depth or
are too simple. On the hand they might still decide to
buy a product with ratings if the reviews are detailed
and convincing (Ludwig et al., 2013). Therefore
consumers tend to use both ratings and reviews
together to get a picture before making a decision.
Examples include two studies by Nazlan, Nadia &
Tanford, Sarah & Montgomery, Rhonda. (2018). The
first study used a 2×3 experimental design to assess
the impact of review order (positive or negative
preference) and review type (text + ratings, text,
ratings) on consumer decision-making with a sample
of 210 diverse adult respondents. The results obtained
are that the order of positive and negative reviews
first does not significantly affect the restaurant's
evaluation and recommendation intention. Reviews
that included verbal descriptions and ratings had a
greater impact on restaurant evaluation and
recommendation intentions than reviews that used
either verbal descriptions or ratings alone. The impact
of negative reviews on consumer decisions is stronger
than that of positive reviews, and the impact of
negative reviews goes beyond the impact of review
order. The limitations of this study are that the sample
is predominantly middle-aged, which does not reflect
the behavioral characteristics of consumers of all
ages; the simulation scenario used in this study may
lack the complexity of the actual online review
environment, which does not adequately reflect
consumers' real decision-making behaviors; and the
number of reviews is insufficient, and no significant
impact was observed. It is recommended to enhance
the realism of the experimental scenario, expand the
age distribution of the sample, and optimize the
design of the review sequence to make it closer to the
actual situation. The second study used a 2×2×2
experimental design to analyze the effects of rating
format (numeric vs. star ratings), the presence or
absence of pictures, and review sentiment (positive
vs. negative) on consumer choices, with a sample of
260 U.S. college students. The results show that when
the review is positive, the review with a picture
increases the probability of selecting the target menu
item more than the review without a picture.
However, in the negative reviews, pictures did not
significantly affect the choice. In terms of rating
format, the combination of the numerical rating and
the picture situation improved the probability of
selecting the target menu item, while the star rating
had no significant effect. This study had a limited
sample of college students, which is unlikely to be
representative of any broad constituency of
consumers. While photographs prove to be more
effective in positive reviews, it is not clear why they