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Impact of Online Consumer Reviews on Buying Intention of Consumers in UK: Need for Cognition as the Moderating Role

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Abstract

World wide web has offered a strong competitive platform for online marketing which turned out the online shopping important for consumers in todayཿs world particularly those consumers which view the online reviews as effectual conduit of having important product information prior to purchasing decisions. However, the current study attempts to find the impact of online consumer reviews on buying intention of consumers in the context of UK with need for cognition as the mediating role on the basis of elaboration likelihood model developed in 2011. This study followed positivist research philosophy by using quantitative data from 120 consumers in UK who shop online. In conclusion, the current study demonstrated that the buying intention of online consumer who has high cognitive needs was affected by quality of online review or argument as compare to quantity of online argument or reviews. Furthermore, the buying intentions of online consumers with low cognitive need were affected by quantity of rather than quality of arguments. Therefore, hypothesis of current were supported.
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IMPACT OF ONLINE CONSUMER REVIEWS ON BUYING INTENTION OF CONSUMERS IN UK
Impact of Online Consumer Reviews on
Buying Intention of Consumers in UK:
Need for Cognition as Mediating Role
http://dx.doi.org/10.3991/ijac.v6i2.2910
Ruba Obiedat
University of Jordan, Jordan
AbstractWorld wide web has offered a strong competitive
platform for online marketing which turned out the online
shopping important for consumers in today’s world
particularly those consumers which view the online reviews
as effectual conduit of having important product
information prior to purchasing decisions. However, the
current study attempts to find the impact of online
consumer reviews on buying intention of consumers in the
context of UK with need for cognition as the mediating role
on the basis of elaboration likelihood model developed in
2011. This study followed positivist research philosophy by
using quantitative data from 120 consumers in UK who
shop online. In conclusion, the current study demonstrated
that the buying intention of online consumer who has high
cognitive needs was affected by quality of online review or
argument as compare to quantity of online argument or
reviews. Furthermore, the buying intentions of online
consumers with low cognitive need were affected by
quantity of rather than quality of arguments. Therefore,
hypothesis of current were supported.
Index Termsneed for cognition, online review, buying
intention, elaboration likelihood model.
I. INTRODUCTION
The present study attempts to explore the empirical
relationship between the online consumer review and
buying intentions of consumers; however the need of
cognition is playing a moderating role of this relationship.
Internet is providing strong competitive platform for
online business and marketing. Particularly, the internet
usage as a platform to express the experience related to
product or service has turn out to be an imperative
marketing contrivance to compete for customer’s visits
and attentions [7] (Chatterjee, 2001).
According to [10] Kaynar and [1] Amichai-Hamburger
(2008), it has been calculated that in all over the world,
the number of Internet users is exceeding 10,000 million;
nonetheless the information traffic is increasing by fifty
percent annually. However, [23] Tedeschi (2010) have
been argued that offering consumers a platform to express
their experience and monitoring the word-of-mouth
(WOM) electronically has befallen a practicable business.
Furthermore, WOM is viewed as more plausible as
compare to advertisement as it has been perceived as
having proved by customers by assessment “people like
me” [2] (Allsop et al., 2007).
[11] Keller (2007) has demonstrated that there is
decreasing trust on advertisement; however WOM has
turn out to be the most powerful communication conduit.
Therefore, online consumer reviews offer electronic form
of WOM which has been considered as the trusted source
of information regarding product or services for various
consumers and consequently potential important sales
asset. [11] Keller (2007) further showed this concern as
the positive and good consumer online reviews regarding
a company’s products usually regarded as the preeminent
predictors of organizational growth.
According to Amichai-Hamburger and [10] Kaynar
(2008) there are two fundamental results in previous
research on linking the internet and personality. Firstly,
there is difference between the of internet users on internet
from their real in world. Secondly, Internet make possible
for users to enhance their psychosomatic well-being by
anonymity and further through high extent of control.
Nonetheless, a few number of research studies have been
conducted to find out the impact of online messages and
evaluations of potential consumers on the buying intention
for a specific product [7] (Chatterjee, 2001).
Therefore, the current study aims to broaden the
research by understanding the online consumers. [4]
Cacioppo and [16] Petty (1982) explain the cognition need
as the factor of personality which is generally used to
measure and explain the tendency of individual for
information [1] (Amichai-Hamburger et al., 2007).
Consequently, Cognition need was adopted in current
study as moderator in exploring the impact of online
reviews of consumers on buying intentions of consumers.
To empirically explore the hypothesized relationship
between the online consumer reviews and consumer
buying intention, the current study has used the
theoretical perspective of “Elaboration likelihood model
(ELM)” which has been established by [16] Petty and [4]
Cacioppo (1981, 2011). Furthermore, [15] Park et al.,
(2007) has also supported this model by using ELM to
investigate the influence of online consumer reviews on
the s of influence of online consumers.
However, an experimental research study has
also been conducted to explore the moderating role of
involvement in investigating persuasion route. In this
study, it has been reported that quantity and quality of
online consumer reviews have a strong impact on buying
intentions of consumers (PI), on the other hand, the
consumer who are low involved are usually affected by
quantity of online reviews as compare to quality of online
reviews, nonetheless, the consumer who are highly
involved are influenced by the high quality of online
reviews as compare to quantity of review. [15] Park et al.,
(2007) investigated the impacts of online reviews through
ELM, but their results were not consistent with pervious
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IMPACT OF ONLINE CONSUMER REVIEWS ON BUYING INTENTION OF CONSUMERS IN UK
ELM research studies. For that reason, more research is
needed to understand the impacts of online consumer
reviews. Consequently, the current research had objective
to extend the ELM application into emerging research
domain for online consumer reviews. The knowledge
contribution current research study is in marketing and
management literature in the domain of electronic
marketing through the introduction of ELM theory as
reference.
In conclusion, the current study demonstrated that the
buying intention of online consumer who has high
cognitive needs was affected by quality of online review
or argument as compare to quantity of online argument or
reviews. Furthermore, the buying intentions of online
consumers with low cognitive need were affected by
quantity of rather than quality of arguments. Therefore,
hypothesis of current were supported. The next section is
literature review.
II. LITERATURE REVIEW
This section will shed light on underpinning theories
and model related to current research area.
A. Online consumer reviews and buying intention of
consumers
According to [15] Park et al., (2007) the satisfaction of
consumers increases due to increase in the quality level of
consumer online reviews , ultimately the consumer
satisfaction lead to higher buying intentions of consumers.
The research area also emphasize on the quality of
consumer online reviews. Online reviews which are
objective and easily understandable are regarded as more
influential in changing the s and intentions of consumers
as compare to those reviews which are weak and depicts
the subjective and emotional style [4] [20] (Cacioppo,
Petty and Schumann, 1983; Petty and Cacioppo, 1984).
Therefore, the online reviews that contain fact supported
knowledge and argument which are easily understandable
are more swaying as compare to those reviews which
show vague comments. Thus, it can be concluded that
favorable of consumer can be produced when online
review of high quality is developed. This lead to the first
hypothesis of this study which is as follows:
Hypothesis 1: There is significant relationship between
high quality of online consumer review and buying
intention of consumers in UK
Online consumer reviews are regarded as a new type of
recommender which is same to messenger of conventional
communication through WOM word-of-mouth [7]
(Chatterjee, 2001). Nevertheless, the people who
contribute in online consumer reviews are usually
previous users who want to stay anonymous; despite this
fact the sources of conventional word-of-mouth (WOM)
recommendations are usually known people. However, in
the case if online consumer reviews, lack of
trustworthiness encourages online consumers to use these
cues in their formulation. Another concern about the
online consumer reviews are the quantity (Number of
online consumer reviews) which is generally use to
identify the popularity of product or services for the
reason that it is regarded as to demonstrated the market
performance and the fame of specific products and
services [13] (Mayzlin and Chevalier, 2006).
Furthermore, the quantity of online consumer reviews
might also offer the reference point to make stronger the
confidence of online consumers by decreasing the
uncomfortable risk feelings exposure [3] (Buttle, 1998).
In last, it can be said that online shoppers can recognize
that greater the number of reviews, greater will be the
fame and importance of product or service. Thus, this
study formulates the following hypothesis of this study.
Hypothesis 2: There is significant relationship between
high quantity of online consumer review and buying
intention of consumers in UK.
B. Elaboration likelihood model
Numerous theories and models have been used to
investigate the influence and role of the procedures in
shaping the perception of consumer buying intentions,
these theories are known as dual-process theories.
According to these dual-process theories, formation of
attitudes do not based on effortful procedure of influential
facts and information, but at times might be based on less
effortful procedures of heuristic prompts. Furthermore,
theories of Dual-process categories the conditions in
which there are two major procedures which can probable
to happens [6] (Chaiken and Trope, 2010). According to
[16] [19] Petty and Cacioppo (1981, 2011) the elaboration
likelihood model (ELM) offers a very effectual framework
for understanding the efficiency of influential
communication [12] [22] (Sher and Lee, 2009; Lee, 2009).
According to ELM, Petty and [4] Cacioppo (1981,
2011) argued that of consumers might change due to two
different routes of persuade which is given below:
1. The central route
2. The peripheral route
These routes are two different processes in terms of
amount of thinking process of “elaboration” or
information. Those people who adopt the central route
consider significantly about issue-associated arguments
and inspect the relevance and merits of those valuable
arguments previous to form an attitude regarding the
product or advertisement. Conversely, those people who
adopt the peripheral route usually make a smaller amount
cognitive effort in formation of their attitudes towards a
specific product or service and generally depend on when
forming attitude and depends on shortcuts for example the
number of online consumer reviews and corporeal
attractiveness of endorsers. However, [18] Petty and
Cacioppo (2011) argued that in the ELM, it has been
posited that s of consumers might change through that
central route is more predictive and enduring of consumer
as compare to change attitude change induced by the
peripheral route for the reason that the former route have
its bases on thoughtful and deliberate consideration of
pertinent arguments [18] (Petty and Cacioppo, 2011).
However, Wegener and [21] Petty (2010) demonstrated
that consumers who are high elaboration likelihood state
are potentially connected in solicitous processing of
knowledge and information and generally probable to be
convinced by the quality of argument. In contrast,
consumers who are low in elaboration likelihood state be
inclined to form their change on tangential cues.
Therefore, Elaboration likelihood plays moderating role
of quality of arguments and tangential cues on the
consumer regarding any specific product and services. In
accordance with ELM, elaboration likelihood find out
through the motivation and capability to elaborate of a
consumers. On the other hand, motivation is known as the
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personal relevance to consumer for the influential online
consumer review while capability is known as the
pervious expertise of consumers with the regarding
specific product or services. Even though every consumer
are different from each other vary in their motivation and
capabilities to elaborate. Thus, the motivation is also
playing moderation role in this study and named as
cognition need thus, cognition need is adopted as
moderating variable of current study and underpinning
literature is given in next section regarding cognition
need.
C. Cognition Need
The association of personality variables and of
consumers has been studied in research with great interest
as the marketing discipline has been developed [9]
(Haugtvedt, [16] Petty, and Cacioppo, 1992). Cacioppo
and [17] Petty (1982) has been demonstrated cognition
need as a significant variable of personality which refers
to enjoy, engage in effortful activity of cognition, even
though these personal characteristic can be affected by
numerous certain situational factors (Cacioppo et al.,
1996). According to [24] Tuten & Bosnjak (2001)
demonstrated that personal differences is referred as
cognition need , furthermore, the cognition need fall in
continuum of bipolar which is anchored at high and low
on both sides. Consumers who have low cognition need
do not enjoy effort of cognition and mostly depends on
others prefer to opinions of experts in case of complex
issues and handling these issues. These consumers
potentially base their behavior on straightforward cues for
example the attraction of sources [5] (Cacioppo, Petty and
Goldman, 1981) or the quantity of online consumer
reviews provided by messages [5] (Petty & Cacioppo,
1984).
On the other hand, consumers who have high cognitive
needs are usually attracted by available cognitive resource
and are potentially use efficient and methodological
conventions to analyze the related information. Thus the
attributes of these consumers can be defined as highly
intrinsic, curious and motivated [14] (Camp, Olson and
Fuller, 1984). As a result, these consumers are logically
motivated to seek information and consequently acquire
this information.
Immense research has been done to find the impact of
cognition need in diverse situations for instance memory
recall, knowledge and cognitive tests and use of inter [1]
(Amichai-Hamburger et al., 2007; [10] Kaynar and
Amichai-Hamburger, 2008 ; Cacioppo et al., 1996).
Online reviews have become an important tool of
information particularly online consumers. On the other
hand, there is little research has been conducted to find the
cognition in the area of online reviews. According to the
ELM, the behaviors of consumer are based on the
peripheral and central route which further depends on the
cognition need. Thus, the third hypothesis of current study
is as follows:
Hypothesis 3: The buying intention of consumers with
high level of need cognition will be affected by quality
rather than quantity of online consumer reviews in UK.
As the quantity of online reviews regarding a specific
product depicts the fame of that product for the reason that
the quantity of online reviews demonstrated the number of
consumer who are interested in product or may use the
product [7] (Chatterjee, 2001).However, according to the
ELM, consumer who have low cognition need put less
effort to analyze the information , thus these consumer
tend to form their behaviors on tangential cues, for
example the outlook of product or the number of online
reviews, thus the fourth hypothesis of current study is as
follows :
Hypothesis 4: The buying intention of consumers with
low level of need cognition will be affected by quantity
rather than quality of online consumer reviews in UK.
III. THEORETICAL FRAMEWORK
This section will demonstrate the theoretical framework
of study which is as follows:
Independent variable Dependent variable
Moderating Variable
Figure 1. Impact of Online Consumer Reviews on buying Intention of Consumers in UK: Need for cognition as the moderating role.
Source: [15] Park et al., (2007) [16] [18] Petty and Cacioppo (1981, 2011)
Online consumer review
High quality
High quantity
Buying Intention of
Consumers
Cognition Need
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IV. HYPOTHESIS FORMULATION
Hypothesis 1: There is significant relationship between
high quality of online consumer review and buying
intention of consumers in UK
Hypothesis 2: There is significant relationship between
high quantity of online consumer review and buying
intention of consumers in UK
Hypothesis 3: The buying intention of consumers with
high level of need cognition will be affected by quality
rather than quantity of online consumer reviews in UK.
Hypothesis 4: The buying intention of consumers with
low level of need cognition will be affected by quantity
rather than quality of online consumer reviews in UK.
V. METHODOLOGY
The current study followed positivist research
philosophy by using quantitative data from 120
respondents. The units of analyses are those customers,
consumers, and end users who use to shop products from
the internet stores. A self-administered 5 point Likert scale
questionnaire was used in order to collect the data. The
questionnaire was adapted from [15] Park et al., (2007)
therefore there the cronbach alpha was already tested. The
questionnaire was distributed through emails and by using
a website “monkey survey” a survey was created and
spread through the UK online market. Total 145
questionnaires were distributed among customers,
consumers, and end users who use to shop products from
the internet stores of UK industry through e-mail and get
the response of 120/145 which was good enough to carry
on this research study. Further deductive approach was
applied in current research. The nature of study was
cross-sectional study due to time limitation and nature of
study. Further data was gathered and analyzed in SPSS
Statistical Package 17.
VI. DATA ANALYSIS AND RESULTS
The participants of current study have been categorized
as low or high in cognitive need through median split as
given below:
72
66.2
79.6
In table 1, the descriptive statistics has been
summarized for purchasing intention of participants.
TABLE I.
STANDARD DEVIATION AND MEANS OF BUYING INTENTION
low cognitive
need
high cognitive need
Week
AQ
Strong
AQ
Week
AQ
Strong
AQ
Small
quantity
3.74
(1.12)
3.68
(1.04)
3.98(1.10
)
4.46
(1.30)
n= 10
n=16
n=24
n=10
Large
quantity
4.23
(0.84)
4.37
(0.96)
3.70
(1.50)
4.62
(0.79)
n=18
n=26
n=14
n=2
Note: AQ is Argument quality or the quality of online review
3-factor ANOVA was tested from the data which
further demonstrated the imperative impact of quality of
argument as F (1, 60) =7.890 at p < 0.05 and ANOVA
also depicted that there is imperative impact of review
quantity F (1, 60) =4.090 at p < 0.05. Thus, it can be said
that high quality of online reviews is positively related to
the buying intentions of consumer who are online
consumers. Thus, Hypothesis 1 and 2 has been accepted in
current study.
In addition to that, as hypothesized by ELM that there
is positive relationship between the quality of online
reviews and cognitive need , this statement was also
supported by ANOVA as F(1,60) = 7.213, p < 0.05. Thus,
it can be concluded from results that , the consumer who
have high cognitive usually takes the central way or route
to formulate the buying intention for a specific product or
services. Thus, the results has demonstrated that the
respondents of study who have high cognitive need
depicts more positive impact after seeing the strong
quality of any argument (M=4.54) as compare to weak
quality of argument (M=3.76) as F (1, 60) = 13.952, p <
0.001, however the behaviors of respondents who have
low cognitive need depicts to strong (M=3.99) and weak
(M=4.02) quality of argument or online reviews are not
significantly different.
However, the relationship of Cognitive need and
significant quantity of online reviews has been depicted
from ANOVA as F (1, 60) = 7.930, p < 0.05]. Particularly,
the major impact of online review quantity was also
shown by Cognitive need and significant quantity of
online reviews. Nonetheless, the results of current study
were fairly supported by ELM. It can be stated that
consumer who have low cognitive need are usually adopt
the peripheral route to formulate the buying intentions for
specific product or services.
The result of current study has shown that consumers
who have low cognitive need depict positive attitude
towards large number of online reviews (M=4.30) as
compare to small number of online review as (M = 3.71 F
(1,60) = 12.174, p < 0.001, however the of high cognitive
need were not different for small or large quantity of
online reviews (M = 4.17).
In conclusion, the current study have demonstrated that
the buying intention of online consumer who has high
cognitive needs was effected by quality of online review
or argument as compare to quantity of online argument or
reviews. Furthermore, the buying intentions of online
consumers with low cognitive need were affected by
quantity of rather than quality of arguments. Therefore,
hypothesis 3 and 4 were also supported in current study.
VII. DISCUSSION ON HYPOTHESIS TESTING
This section presents the discussion on each hypothesis
which we propose on the basis of substantive literature.
Empirical reflection on each hypothesis will be analyzed
to decide whether hypothesis projected have a significant
or insignificant relationship. As the results of 3 Factor
Anova Testing and P-value it can be said that high quality
of online reviews is positively related to the buying
intentions of consumer who are online consumers. Also
the descriptive stats depicts the 4.37 value for high quality
consumer reviews so on the basis if these results we
accept the Hypothesis 1, and we can say that high quality
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IMPACT OF ONLINE CONSUMER REVIEWS ON BUYING INTENTION OF CONSUMERS IN UK
of consumer reviews have strong impact on consumer
purchase intensions in UK.
Similarly the 3 Factor Anova testing result for
Hypothesis 2 is 4.09 and the result of descriptive tests is
4.62 which is also sufficient to support the H2 and to
prove that high quantity of consumer reviews have also
significant positive impact on the consumer purchase
intensions in UK. This H2 is also supported by the
previous literature, as the findings of the study [16] (Petty
and Cacioppo, 2011), and Wegener and Petty (2010)
concluded that consumers who read consumer reviews
large in quantity they are also inclined towards having
strong influence regarding the purchase of that products in
UK.
Similarly the relationship of Cognitive need and
significant quantity of online reviews has been depicted
from ANOVA as F (1, 60) = 7.930, p < 0.05]. It shows
particularly, the buying intention of consumers with high
level of need cognition will be affected by quality rather
than quantity of online consumer reviews in UK. This
hypothesis 3 is also supported by the previous literature as
[24] Tuten & Bosnjak (2001) demonstrated that personal
differences is referred as cognition need , furthermore, the
cognition need have the strong impact for those customers
which are more inclined towards the quality rather than
quantity.
The Hypothesis 4 results are F (1, 60) = 12.174, p <
0.001. It shows particularly, the buying intention of
consumers with low level of need cognition will be
affected by quantity rather than quality of online
consumer reviews in UK. Therefore, this hypothesis 4 is
also supported by the previous studies [1] (Amichai-
Hamburger et al., 2007; [10] Kaynar and Amichai-
Hamburger, 2008; Cacioppo et al., 1996) findings were
similar and they found that the consumers with low need
of cognition can be affected by the high quantity of online
consumer reviews in UK.
VIII. CONCLUSION
Online consumer review is one of the most imperative
communication ways in today’s business world. Immense
research has demonstrated that online consumer reviews
have an important impact on the sales of corporation
(Mayzli and Chevalier, 2006). Consequently, online
consumer reviews should be manage and handled in a
good way and should be incorporated in communication
marketing strategy of organization. The present study
attempts to explore the empirical relationship between the
online consumer review and buying intentions of
consumers; however the need of cognition is playing a
moderating role of this relationship. There were four
major findings of current study that includes: Firstly, the
high quality of consumer reviews is positively linked with
the buying intention of online consumers. thus , the
consumer reviews which have high quality of argument
are more objective, therefore, high quality argument were
more influencing as compare to low quality of review
argument that are usually emotional and subjective.
Secondly, the current study revealed that large of number
and quantity of online reviews is positively linked with
high intention of purchasing by consumers. Thus, the
behavior of online consumers turns out to be more
positive as the quantity of online reviews goes on
increasing. Thus, the high quantity of consumer reviews
indicates the quality and fame of product and therefore
increases the intention of consumer to buy. Moreover, the
major impact of quality of argument is qualified by
cognitive need and argument. Consumers which have high
cognitive take central route to formulate the buying
intention, therefore the consumers are influenced by
review quality. Hence the results of current study were
supported by the research literature of ELM by increasing
the application of ELM to online attributes of consumers.
According to the central route, marketing professionals
should carefully, regard the correct match among the
consumer levels and digital demonstration of online
consumer reviews. In last , the results of current study was
supported by theory of ELM , as the major impact of
quantity of online consumer reviews was qualified by
cognitive need and quantity of reviews. The consumers
who have low cognitive need usually intended to adopt the
peripheral route to formulate the buying intention for a
product, therefore these consumer were influenced by the
quantity of online consumer reviews as compare to quality
of consumer reviews.
This result was contributed to understand the system
underpinning the impact of online consumer reviews. For
marketing professional and developers of software, the,
the peripheral route viewpoint depicts the significance of
creating numerous consumer reviews for people who have
low cognitive need. In conclusion, the current study have
demonstrated that the buying intention of online consumer
who has high cognitive needs was effected by quality of
online review or argument as compare to quantity of
online argument or reviews. Furthermore, the buying
intentions of online consumers with low cognitive need
were affected by quantity of rather than quality of
arguments.
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AUTHOR
Ruba Obiedat is from Department of Business
Information Technology, The University of Jordan. Dr.
Obiedat is an Assistant professor at the University of
Jordan. Her main interests in research are business
intelligence and data mining. She graduated from
university of Salento in Italy.
(o.harfoushi01@gmail.com).
Manuscript received 12 June 2013. Published as re-submitted by the
author 23 July 2013.
iJAC Volume 6, Issue 2, August 2013
21
... Such reviews can significantly influence customers' decisions on product purchasing (Zhu & Zhang, 2010). Information from a customer review system is considered by some customers to be a more trustworthy source of information as compared with other sources (Clement, 2019;Obiedat, 2013). Obiedat (2013) revealed that buying intention of online consumers increased with the quantity and quality of online reviews. ...
... Information from a customer review system is considered by some customers to be a more trustworthy source of information as compared with other sources (Clement, 2019;Obiedat, 2013). Obiedat (2013) revealed that buying intention of online consumers increased with the quantity and quality of online reviews. However, not all reviews are considered equal as the credibility of online reviews is an important factor that affects how people perceive the online reviews (Jensen et al., 2013;Thomas et al., 2019). ...
... For example, reviews in the form of simple recommendations are viewed in a different light by customers compared to reviews that are supported by extensive reasoning (Willemsen et al., 2011). Another study found that a customer's perceived quality of an online review impacts a customer's buying intention and generally the quality of reviews has a greater impact on buying intention than the quantity of reviews (Obiedat 2013). However, Obiedat (2013) also found that the buying intention of online customers with low cognitive needs were affected more by the quantity of reviews rather than the quality of arguments. ...
Article
Full-text available
Online reviews have emerged as influential sources of information which greatly affect customers’ pre-purchase decision. Some studies have found that culture impacts online reviews, but many aspects of online review usage are still not well-understood. This study seeks to understand: What factors influence the usage of online reviews and consumers’ intention to use online reviews influenced by culture? This study collects data from U.S. and Thai consumers to examine what factors affect user attitudes and intentions. Structural Equation Modeling is used to analyze the data and the findings reveal that most of the proposed factors influence online review adoption for these two nationalities. One significant difference was found between the respondents of the two countries. The results should help online businesses gain a better understanding of these factors, and thus direct their efforts to develop features which positively influence online review usage.
... However, Sher and Lee (2009) asserted that the number of online reviews have no impact on consumer buying behaviour. Further supported this claim, Obiedat (2013) stressed that consumers with high cognitive needs were more influenced by quality of online review rather than quantity of online review to stimulate their buying intention. Therefore, the following hypothesis is formed: ...
... The quality of the argument refers to the strength or reasonable consumer argumentation, 2) volume, the volume of online customer reviews of a product that represents the popularity of the product because it is related to product sales volume, 3) valence, concerning how online reviews can be viewed, for example, viewed negatively or positive, 4) timeliness, related to whether the message is current, up-to-date, and timely, and 5) source credibility, Source credibility refers to the perception of the recipient of the message about the trustworthiness of the message source, does not reflect anything about the message itself. Ference [10] states that online reviews are positively related to consumer purchase intention and have a significant effect on purchase intention [11] because they provide understanding to consumers, besides that the benefits of online customer reviews are to increase consumer purchase intention [12]. ...
... However, Sher and Lee (2009) asserted that the number of online reviews have no impact on consumer buying behaviour. Further supported this claim, Obiedat (2013) stressed that consumers with high cognitive needs were more influenced by quality of online review rather than quantity of online review to stimulate their buying intention. Therefore, the following hypothesis is formed: ...
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