The Role of Online Ratings and Reviews in Consumer
Decision-Making: Insights from Behavioral Economic Perspectives
Chenxi Zhang
ESCP Business School, Paris, 75000, France
Keywords: Online Ratings and Reviews, Consumer Decision-Making, Consumer Behaviors.
Abstract: With the rapid development of the Internet and e-commerce platforms, online ratings and reviews have
become an important reference point for consumer decision-making, revolutionizing the traditional methods
adopted by consumers. They reduce information asymmetry, encourage trusting consumer buying behavior,
and help the consumers to make more informed purchasing decisions-especially in the retail, food, and travel
sectors. This paper is an in-depth literature review that assesses current writings on online ratings and reviews
shaping and influencing trends in customer behavior. After assessing their quality, quantity, and consistency,
the paper recognizes their emotional and social power, as well as the potency of negative feedback; in addition,
there is a dynamic interaction between these ratings and extensive detailed reviews. In addition, this paper
this paper suggests that businesses should encourage the writing of bottom-up, detailed, and real reviews.
They should also ensure positive and transparent feedback to negative feedback so that the brand's credibility
and consumer loyalty will be improved. As for consumers, critical thinking should be maintained when using
online reviews and comparative understanding from multiple sources should be brought in. Consumers should
be aware of polarized reviews and check the relevance and reliability of reviews based on their needs and
reality.
1 INTRODUCTION
1.1 Background
In the current era of rapid Internet development, the
Internet community possesses a vast potential for the
economic market. Consequently, a multitude of e-
commerce platforms are emerging, thereby
increasing consumers' propensity to engage in online
shopping.
Online consumption, when the real item is not
visible, is frequently a consideration that consumers
consider when making selections, following a
sequence of mental selection activities prior to
making their final choice, in contrast to offline
consumption. The product's reputation is one of the
most crucial purchasing reference elements, and
online reviews are the primary source of online
reputation. Compared with merchants graphic
introductions, online reviews posted by consumers
who have purchased products can reflect more
authentic and comprehensive information (Chevalier
& Mayzlin, 2006), assisting potential consumers in
mitigating risks and promoting consumption
decisions. These product opinions, as a new form of
electronic word-of-mouth/mouse (EOM), have
become an indispensable tool for consumers, who
increasingly rely on the reviews of other consumers
to make online purchasing decisions (Ludwig et al.,
2013), and therefore for retailers looking to attract
and retain consumers (Pan & Zhang, 2011).
1.2 Significance of the Research
Online ratings and reviews represent one of the major
means of information dissemination in the digital
economy, while having a considerable impact on
consumer behavior and market efficiency. Online
reviews improve consumers in perceiving the
qualities of goods and services due to reduced
information asymmetry. This mechanism is
particularly critical in high-information-demand
domains such as retail, food, and travel. For example,
consumers are unable to fully understand the quality
of products through prior assessments when
purchasing experiential goods, while online reviews
act as a substitute signal that significantly reduces
decision uncertainty. In addition, the dynamic
feedback mechanism of online reviews provides
754
Zhang, C.
The Role of Online Ratings and Reviews in Consumer Decision-Making: Insights from Behavioral Economic Perspectives.
DOI: 10.5220/0014280000004942
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management (APMM 2025), pages 754-759
ISBN: 978-989-758-791-7
Proceedings Copyright © 2026 by SCITEPRESS Science and Technology Publications, Lda.
firms with real information about consumer
preferences and helps them adjust their strategies to
meet market demand. However, the actual
effectiveness of this mechanism is constrained by
various factors such as the credibility of the reviews,
information overload, and emotional bias, which
provides a wide scope for related research.
2 OVERVIEW OF ONLINE
RATINGS AND REVIEWS
2.1 Definition and Type
Online ratings and reviews are a form of user
evaluation of a product, service, or experience that
not only acts as an information source but also
provides decision-making support for potential
buyers and feedback to businesses. These two types
of evaluations can be further classified into:
quantitative ratings and textual reviews.
Numeric ratings are usually presented in an
intuitive manner, such as five stars, ten point system,
percentage score, and are a quick assessment of a
user's overall satisfaction with a product or service.
This simplified presentation facilitates quick access
to overall rating information for the user, but may
therefore obscure the specific views and
informational details of the evaluator, thus limiting its
usefulness in conveying in-depth information.
Textual reviews are detailed assessments
provided by users in written, graphic, or audiovisual
forms. These can convey much more emotional
expression, provide more detailed information, and
supply specific details, thus overcoming the
limitations of the brevity of e-ratings (Pan & Zhang,
2011). For example, textual reviews may include user
descriptions of specific product features, emotions
about the purchasing and consumption experiences,
and recommendations or criticisms. Both corporate
performance improvement tactics and user decision-
making processes greatly benefit from the availability
of comprehensive information. In addition, text-
based analysis is specifically affected by linguistic
characteristics, personal preferences, and context
factors, thus showing high variability (Ludwig et al.,
2013). The emotional color of the language (e.g.,
positive, negative, neutral) may directly affect the
user's willingness to buy. For example, positive
emotions are more likely to promote consumption,
while negative emotions may lead to hesitation or
abandonment. At the same time, words that match
users' language habits or preferences, or that have a
high degree of similarity and resonance, are more
likely to stimulate immediate consumption behavior.
2.2 Key Platforms and Channels for
Online Ratings and Reviews
The dissemination of and access to online ratings and
reviews exists primarily on a diverse range of
platforms and channels that have played a key role in
the development of user-generated content (UGC)
(O’Connor, 2010). Platforms provide an important
channel for consumers to express their opinions and
obtain information, as well as a key tool for
merchants to understand user needs and feedback. It
has been demonstrated that having user ratings on a
website enhances users' opinions of its usability and
social presence (Kumar & Benbasat, 2006). Below
are some common platforms and their comment
characteristics:
2.2.1 Amazon
As a leading e-commerce platform internationally,
Amazon's system for user reviews has attracted
significant scholarly interest and is seen as a model
within the industry (Mudambi & Schuff, 2010). In
addition to thorough written evaluations, this review
system includes star ratings and a voting element
called "Helpful Reviews" that highlights
contributions of the highest caliber. Amazon also lets
customers post videos and pictures, which is a
multimedia format that makes reviews more reliable
and educational. Research has shown that Amazon
reviews influence individual consumer decisions, and
also that Amazon drives sales by aggregating review
data (Chevalier & Mayzlin, 2006).
2.2.2 Taobao
Taobao, one of China's biggest e-commerce sites,
combines text-based evaluations with digital ratings
to give customers thorough information about
products and services. Consumers can rate on a five-
point scale in terms of the accuracy of product
descriptions, the seller's service attitude, the
timeliness of logistics, and other dimensions, and
assess satisfaction from multiple perspectives
separately. Customers may simultaneously utilize
text, images, and even videos to provide detailed
descriptions of their purchase and usage experience.
These evaluations serve as a reliable resource for
prospective buyers in addition to assisting other users
in understanding the product's particular
performance. After the initial assessment, customers
The Role of Online Ratings and Reviews in Consumer Decision-Making: Insights from Behavioral Economic Perspectives
755
may submit "follow-up reviews" on Taobao to
provide input on the product's long-term use. This
function is especially useful for evaluating durable
items or services.
2.2.3 TripAdvisor
TripAdvisor is an important reference platform for
travelers around the world, focusing on reviews of
travel-related services. It provides star ratings and
detailed text reviews of hotels, restaurants,
attractions, etc. (Gretzel, et al., 2007). TripAdvisor's
Travelers' Choice ratings integrate user reviews and
data to provide authoritative reference information
for potential consumers. TripAdvisor's Travelers'
Choice ratings integrate user review data to provide
authoritative reference information for potential
consumers. In addition, the platform allows users to
upload pictures to show the travel experience from
multiple perspectives, which enhances the
authenticity and persuasiveness of the reviews.
2.2.4 Social Media Platforms
Social media (e.g., Facebook, Instagram, Twitter) are
emerging as another important channel for consumers
to express their opinions. Reviews on these platforms
come in various forms, including text, pictures,
videos, etc. The content spreads quickly and covers a
wide range of areas, and at the same time, it may
contain promotional information and false
information, and these reviews can easily affect brand
image and sales.
2.3 Popularity and Influence of Online
Shopping
In the contemporary era of accelerated Internet
development, the Internet community harbors
immense potential for the economic market.
Consequently, a multitude of e-commerce platforms
are emerging, thereby increasing consumers'
propensity to engage in online shopping.
Online consumption, characterized by the absence
of the tangible product, frequently involves a series of
cognitive selection processes preceding the
consumer's final decision, in contrast to offline
consumption. Product reputation is one of the most
important factors affecting people's purchasing
decisions, while online reviews are the primary
source of information about the reputation of a
product. It has been argued that online reviews are
more authentic and comprehensive in disseminating
information about a product than any graphic
introduction by the merchant (Chevalier & Mayzlin,
2006; Floyd et al., 2014)). These reviews are really
important to potential consumers in risk mitigation
and further consumption decision-making.
3 THE IMPACT OF ONLINE
RATINGS AND REVIEWS ON
CONSUMERS
3.1 Role in Decision-Making Process
In situations where consumers are bombarded with
too much information regarding a product or service,
they often find it hard to make a choice due to the
numerous options available. Online ratings are direct
and comprehensive measures that can help consumers
narrow down their choices by giving them an instant
overview of a product's overall quality (Chevalier &
Mayzlin, 2006). Online reviews and ratings play a
critical role in several steps of the consumer decision-
making process, especially for experiential products
and services, as well as for unfamiliar products. The
number of reviews and ratings and the quality of the
content in such reviews can significantly influence
the choices of consumers in their choice processes. A
high rating in a continuous manner can build trust
among consumers for a product. At the same time,
detailed textual comments could help consumers
understand how a product works and how it is to be
used in more depth, offering information that is not
conveyed through numerical ratings . In Mudambi
and Schuff's study, they used 1,608 online reviews on
Amazon.com since September 2006, with products
mainly in the search category and experiential
products, in order to explore what factors influence
the usefulness of reviews (Chevalier & Mayzlin,
2006). The Helpful Votes/Total Votes of the reviews
were used as the dependent variable to measure the
extent to which the reviews helped consumers in their
decision making. The major independent variables
were review depth, measured as the number of words
in each review; rating extremity, according to the
stars rating of the reviewshence, especially focused
on extreme ratings of 1 and 5 starsand product
typesearchable or experiential.The effects of the
above factors on the usefulness of reviews were
investigated through multiple linear regression
analyses, and interaction terms were introduced to
test the moderating effect of product type on these
relationships. The results showed that the more
detailed the review, the more useful it was; that rating
extremity negatively affected the usefulness of
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search-based products but not experience-based
products; and that product type moderated the effect
of review usefulness.
3.2 Emotional and Social Impact
The influence of online ratings and reviews goes
beyond just influencing the rational decision-making
processes of consumers; they also have emotional and
social impacts. First, as reviews have the power to
significantly impact customers' perceptions and
subsequent decision-making behaviors, it is crucial
that they have emotional content and expression,
particularly when such evaluations evoke either
positive or negative feelings. Reviews with high
emotional content can evoke strong empathy, thus
increasing their persuasiveness and credibility. This
is especially true when consumers do not have
enough time or interest to analyze them in depth.
On a social level, online reviews have significant
social impact as a form of user-generated content. The
existence of reviews informs consumers, and by
conveying the usage experiences of others,
consumers can feel some form of social support
(Chevalier & Mayzlin, 2006). In addition, consumers
also tend to follow group preferences or trends, and
the herd effect can lead to a tendency to follow the
majority opinion when faced with a large number of
consistent reviews.
However, emotional and social influences can
also introduce bias. For example, extreme reviews
(e.g., over-exaggerated positive or negative
comments) can be misleading to consumers,
especially if they are unable to verify the source of the
information, and they tend to repeat previous
comments and ignore their true feelings. Exaggerated
reviews inflate both the benefits and the drawbacks of
a product or service, thus distorting consumers'
objective judgment and causing them to make biased
decisions. For instance, overly positive reviews may
lead consumers to buy products that are inappropriate
for them. On the other hand, very negative reviews
may prevent consumers from considering better
alternatives. Moreover, individuals influenced by
such extreme reviews are probably going to repeat or
mimic others' opinions without thinking about their
own real experiences. Such a phenomenon not only
decreases the variety of user-generated content but
also amplifies the influence of extreme reviews.
3.3 The Impact of Negative Reviews
and Relative Response Measures
Consumer decisions and brand perceptions are
greatly influenced by negative evaluations, which can
have a greater and more enduring effect than
favorable reviews. Because negative feedback is
frequently regarded as the earliest indication of a
possible risk, people are more sensitive to it than to
good information (Baumeister et al., 2001).
Consumers trust negative reviews in the online
environment, which they find more truthful and
credible, especially when it has specific facts or
personal experience (Lee & Youn, 2009). The trust
may influence consumers' purchase intentions further
and even change the general impression of the brand.
The approach that a company takes in its response
is very important when dealing with negative
reviews. For example, publicly acknowledging the
problem, explaining it in detail, or offering a solution
not only eases the concern of the dissatisfied
consumer but also tells other potential customers that
the brand is accountable and shows respect for
customer experience. The constructive and specific
responses are more likely to create consumer trust and
turn negative experiences into positive memories,
which benefits the relationship duration between
consumers and brands (Weitzl & Hutzinger, 2017).
On the other hand, if a brand evades responsibility or
gives a formalized and impersonal response, it may
further outrage the consumers; besides, inappropriate
or careless handling of feedback may hurt the
reputation of the brand.
4 THE IMPACT OF ONLINE
RATINGS AND REVIEWS ON
CONSUMERS
4.1 Number of Reviews
The number of reviews plays a key role in building
consumer trust and increasing purchase intent as an
important reference metric for consumer decision-
making. A large number of reviews are often
interpreted by consumers as a sign of high usage or
discussion. When the number of reviews for a product
or service is high, consumers tend to believe that the
product has received a lot of attention and is a “hot
product”, thus increasing their confidence in its
trustworthiness and quality, or generating curiosity to
spend money on it. For example, given a choice
between two products that have similar ratings, the
The Role of Online Ratings and Reviews in Consumer Decision-Making: Insights from Behavioral Economic Perspectives
757
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
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758
do not work in negative reviews. The menu and
review scenarios modeled here are far less complex
compared to any real online shopping scenario. It is
recommended that future research expand the sample
to include subjects from different age groups and
occupational backgrounds and develop more
sophisticated experimental scenarios to make
findings relevant. Generality of the findings can also
be established by replication in other domains of
consumer activities, such as online shopping, travel
choices, or technology product evaluation.
5 CONCLUSION
5.1 Summary
The research once again underpins that online ratings
and reviews have become a factor of vital
significance for the processes of making a choice by
consumers and market dynamics in general. Among
the key findings, the findings indicate that review
volume is critical to establish consumer confidence,
quality reviews decrease the uncertainty of a choice,
and inconformity between numerical ratings and
written commentary shapes consumer perceptions.
Moreover, the emotional and social character of
reviews-one may especially mention the greater
power of negative feedback-testify to the complex
interrelationship between consumer psychology and
online feedback systems.
5.2 Recommendations
Managing and engaging with customer reviews can
boost trust and loyalty, for businesses. Integrating
understanding replies to feedback can transform
unhappy clients into loyal supporters and demonstrate
responsibility to prospective consumers. Firms
should also prioritize encouraging genuine reviews to
elevate their usefulness and reliability.
As customers go through reviews it is important
for them to be discerning and thoughtful, in their
assessments of the feedback they come across on the
internet platforms. This involves being aware of any
prejudices, in negative reviews and making sure to
check with different sources before forming a final
opinion. Additionally, it is crucial to consider both the
ratings and the detailed descriptions provided in order
to get a rounded view of a product or service.
REFERENCES
C. Dellarocas, X. Zhang & N. F. Awad, Exploring the value
of online product reviews in forecasting sales: The case
of motion pictures, J. Interact. Mark., 21(4), 23-45
(2007)
J. A. Chevalier & D. Mayzlin, The effect of word of mouth
on sales: Online book reviews, J. Mark. Res., 43(3),
345-354 (2006)
K. Floyd, R. Freling, S. Alhoqail, H. Y. Cho & T. Freling,
How online product reviews affect retail sales: A meta-
analysis, J. Retail., 90(2), 217-232 (2014)
M. Lee & S. Youn, Electronic word of mouth (eWOM):
How eWOM platforms influence consumer product
judgment, Int. J. Advert., 28(3), 473-499 (2009)
N. Kumar & I. Benbasat, The influence of
recommendations and consumer reviews on evaluations
of websites, Inf. Syst. Res., 17(4), 425-439 (2006)
N. Nazlan, S. Tanford & R. Montgomery, The effect of
availability heuristics in online consumer reviews, J.
Consum. Behav., 17, (2018)
P. O’Connor, Managing a hotel’s image on TripAdvisor, J.
Hosp. Mark. Manag., 19(7), 754-772 (2010)
R. F. Baumeister, E. Bratslavsky, C. Finkenauer & K. D.
Vohs, Bad is stronger than good, Rev. Gen. Psychol.,
5(4), 323-370 (2001)
S. Ludwig, K. de Ruyter, M. Friedman, E. C. Brüggen, M.
Wetzels & G. Pfann, More than words: The influence
of affective content and linguistic style matches in
online reviews on conversion rates, J. Mark., 77(1), 87-
103 (2013)
S. M. Mudambi & D. Schuff, What makes a helpful online
review? A study of customer reviews on Amazon.com,
MIS Q., 34(1), 185-200 (2010)
U. Gretzel, K. H. Yoo & M. Purifoy, Online travel review
study: Role and impact of online travel reviews, Texas
A&M Univ. (2007)
W. Weitzl & C. Hutzinger, The effects of marketer- and
advocate-initiated online service recovery responses on
silent bystanders, J. Bus. Res., 80, 164-175 (2017)
Y. Pan & J. Q. Zhang, Born unequal: A study of the
helpfulness of user-generated product reviews, J.
Retail., 87(4), 598-612 (2011)
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