Middle-East Journal of Scientific Research 16 (3): 319-330, 2013
ISSN 1990-9233
© IDOSI Publications, 2013
DOI: 10.5829/idosi.mejsr.2013.16.03.11659
Determinants of Consumer Attitude Towards Social-Networking Sites
Advertisement: Testing the Mediating Role of Advertising Value
1
Masood Ul Hassan, 2Seerat Fatima, 2Amara Akram, 3Javaria Abbas and 3Amna Hasnain
1
Department of Commerce, Bahauddin Zakariya University,
P.O. Box 60800, Bosan Road, Multan, Pakistan
2
Department of Commerce, Bahauddin Zakariya University, Multan, Pakistan
3
Institute of Management Sciences, Bahauddin Zakariya University, Multan, Pakistan
Abstract: The purpose of this paper is to scrutinize the attitude of university students towards advertising on
social-networking sites (SNS). The study examined how infotainment, credibility, irritation along with
personalized product, price and promotion content affect the value generated through social-networking site's
advertisement (SNA) and how the value generated mediates the relationship between the antecedents and the
consumer’s attitude towards SNA. A deductive, quantitative research approach was adopted, where data was
collected using a questionnaire administered to a sample of 310 university students. The results showed that
consumers take SNA as infotaining, credible and do not consider it as irritating. They enjoy the personalized
content of product, promotion and price of SNA. They have more of advertisement value and shows positive
attitude towards SNA. Advertisement value have found to mediate relationship between infotainment,
credibility, irritation and consumers’ attitude towards SNA, but fails to mediate personalized product, price and
promotion content. Managers need to build mutually satisfying long-term relationships with key constituents
in order to earn and retain their business. Manager should develop the proper strategies for being socialized
on social-networking sites. The paper enables marketing managers to assess how to utilize the newer media in
order to generate value for consumers and get maximum long-term benefits for the company.
Key words: Social networking sites advertisements
value Social media
Advertising
new products and customer support at much faster speed
than ever [4]. The possibilities of leveraging social media
as a marketing vehicle seem endless [5]. As the increase
in popularity of social networking sites such as Facebook
and Twitter is on a constant rise, new uses for the
technology are constantly being observed. Marketers are
relentlessly chasing the places where a majority of their
consumers hangs out. Digital lifestyle of such consumers,
powered by smart phones and net books, describes where
they spend most of their waking hours and how they view
brands online [1]. These social networking media has
opened the door to a million possibilities for marketers
[6, 1]. Marketers have started using these media to reach
their customers in a more personalized way [7]. In doing
so, the companies are creating online communities and
INTRODUCTION
The digital revolution has intensely galvanized
firms’ ability to target customers through tailored
advertisements. The rapid advancement in technology is
making it harder for marketers to predict in advance the
availability of innumerable media to use for direct
communication with consumers [1]. The importance of
this direct communication cannot be undervalued as the
insight gained through such communications help
marketers to understand consumer trends [2, 3]. To some
degree, there is an emergent trend exists within web savvy
consumers to get digital influence. Such cult of influence
is made possible through trendy media such as social
media. These emerging media can be relied to develop
Corresponding Author:
Attitude towards SNS advertisement
Masood Ul Hassan, Department of Commerce, Bahauddin Zakariya University,
P.O. Box: 60800, Bosan Road, Multan, Pakistan.
Tel: +92-061-9210071-74, E-mail: masood@bzu.edu.pk.
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Middle-East J. Sci. Res., 16 (3): 319-330, 2013
aggressive outreach programs [8, 9]. Social media can
evangelize its benefits to the entire organization. Due to
this reason, most of the organizations have not only
developed a company website but also have a Facebook
page to foster a blistering number of personal
connections with their customers.
Compared with traditional media, social media such
as Facebook provide better opportunity to offer more
personalized and interactive messages [10, 11]. As
Facebook has reached up to 1 billion active monthly
global users, one cannot ignore it as an attractive medium
for marketing [12]. Facebook is the marketing trifecta: fast,
free and ubiquitous. Currently, there is found to be a
stream of researches on Social networking sites (SNS).
In these researches, the scholars have questioned how
these sites can use advertising to attain greater numbers
of their users [13] and also studied how SNS can best
advertise their products [14]. While understanding
consumer behavior in general is still an ongoing problem,
the behavioral impact of the new media is even less
well-understood [15]. A marketer needs to encourage the
communication open with consumers so that they may
understand how to impart real value for their consumers.
As such marketing is all about creating value for everyone
[1]. The study of advertising value can add to our
understanding of how advertising works, a key dimension
of which would be the worth of advertising to consumers
[16]. Despite a lot of work done on the effectiveness of
advertising media, the impact and significance of
social media on the marketing outcomes is yet an
under-researched area [17]. This study is therefore aimed
at investigating the factors influencing advertising value
and in turn, how it enhances our understanding of
favorable or unfavorable attitudes toward SNS
advertising. To understand the motives behind increased
advertising value that eventually forms the shape of
positive attitude of consumers towards SNS
advertisement, the uses and gratifications (UandG) theory
is found useful. U and G theory was first developed in
research on the effectiveness of the radio medium in the
1940s and has since been applied to explain psychological
motives and consumers' value generations from various
mass media such as television, electronic bulletins and
wired or wireless Internet [18, 19 and 20]. U and G theory
investigates the perspective of users of certain media
about their respective effectiveness [21]. The
investigation of consumers' perspectives of SNS
advertising value can thus be viewed as an extension of
UandG theory.
Fig. 1: Conceptual Model of Consumer Attitude towards
SNS Advertisement
Following Ducoffe [22] and Wright [23] who have
applied U and G theory on web advertising, we also posit
that the dimensions such as information, entertainment,
irritation and credibility are relevant equally to the social
media. The scholars are convinced that digital advertising
content should clearly communicate online store
information to users such as brands, prices and
promotions [24, 25]. Keeping in view this assertion, there
is a need to examine how some of the influential
dimensions primarily associated with traditional metrics,
such as sales, prices, brand, etc. are becoming more
significant to social media marketers [26]. Personalization
of such content dimensions can help to get improved
attitude towards the social networking sites [27].
Specifically, this study investigates that how the
respondents' attitudes toward social-networking site's
advertising is affected by personalized product, price and
promotion contents, in addition to factors (information,
entertainment, irritation and credibility) proposed by prior
studies [16, 18, 25, 28, 29]. Following the previous
researches [19, 30, 31] in this study, informativeness and
entertainment are integrated into a single construct
(infotainment).
The model of this study as shown in Fig. 1 is based
on the premise that the perceived infotainment, irritation
and credibility of SNS advertisement along with
personalized content of product, price and promotion, all
influence the way consumers evaluate them. The attitude
toward advertising is modeled as the consequence of
advertising value. Precisely the key research questions of
this study are: (1) what factors influence the perceived
value of SNS advertisement? (2) How does perceived
advertising value influence consumer attitudes toward
SNS advertisement? (3) Does the advertising value
mediate the relationship between perceived infotainment,
irritation, credibility, along with personalized content of
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Middle-East J. Sci. Res., 16 (3): 319-330, 2013
product, price, promotion and consumer’s attitude
towards SNS advertisement? To this end, this research
contributes to the marketing literature by developing a
conceptual framework, linking the relationships between
the antecedents with the effects of SNS advertisement.
is amplified when the users starting feeling as if the SNS
advertisers are trying to be over smart and manipulating
their personal information for their own advantage. This
way, the advertisers lose their credibility, especially when
the users suspect that the advertisers are trying hard to
befriend them [42]. Therefore, irritation they feel about
these ads may lead the consumers to decrease the ad
value. As a result, this study further proposes:
Hypotheses Development
Perceived Infotainment: The entertainment value of a
social-networking site is also an important factor for using
it [9, 32]. Entertainment leads people to consume, create or
contribute to the brand-related content online [33].
Entertaining ads - ads that are perceived to be fun,
exciting, cool and flashy - do have a positive effect on
attitude toward the ads, attitude toward the brand and
the desire to return to the website [34]. Hence, if a brand
post is entertaining, brand fans’ motivations to participate
or consume the content are met. Information-seeking is an
important reason for people to use social-networking sites
[32]. It also encourages them to participate in a virtual
community [35, 36]. Furthermore, the motivation to
search for information explains why people consume
brand-related content [33].In short, if a brand post
contains information about the brand or product, then the
brand fans’ motivations to participate or consume the
content are met [15]. Additionally, research shows that
people tend to have positive attitudes toward informative
ads on social networks [15, 34]. Information and
entertainment values are usually entwined with each other
in the new technological world [19, 30 and 31].
Therefore brand fans might have more positive
attitudes toward infotaining advertisements, thus leading
to higher advertising value. This leads to the following
hypothesis:
H2: The irritation felt as a result of SNS advertisement is
negatively associated with perceived SNS advertisement
value.
Perceived Credibility: Ad credibility refers to the extent
to which consumers perceive the message in the ad to be
believable and is based largely on "the trust a consumer
places in the source of that particular ad" (i.e. the
credibility of the advertiser [43]. Social media allow for the
uncoupling of credibility and authority in a way never
possible before [44]. Credibility is seen as relative to the
social context in which information seeking is pursued
and credibility judgments are made [45].
Various media perception and selection researches
have come up with mixed results. Some studies have
found traditional media as more credible than internet and
web [46], others have found the opposite results [15] and
some of the studies even have discovered no difference
in consumer perception of various media regarding
credibility [47]. Over all, the digital place is considered as
credible for those who rely on the web for seeking variety
of information [18]. Generation Y (also known as
millennials) belongs to the group which is highly
dependent on web sources for searching variety of
information, as this is the generation who has grown up
with the growth of the technology [48]. So they are quite
different from any prior generation. They are comfortable
with collaborating and sharing information online [48].
They do not have any doubt regarding the message
credibility and place high value of such information and
message source [44]. This of course has profound
implications for social media advertisements as well. The
credibility perceptions of the social networking sites
advertisement is hypothesized to have a positive effect on
ad value that in turn influences attitude toward the SNS
advertisement. Thus this study further hypothesizes:
H1: The perceived infotainment of SNS-advertising is
positively associated with perceived advertising value.
Perceived Irritation: Recent researches show that
social-networking sites hold 23% share of online
advertising [37]. They have an enormous amount of
private data of their users therefore can easily present
tailored advertising. Though this personal content of
advertisement available on these sites is attractive, but it
might be seen as creepy, especially when the users take
these ads as intrusion into their personal space [38, 39].
Teenagers suspect that the commercial online
social-networking sites are trying to intrude into their
private spaces, deterring them to spend their leisure time
with their own way [40, 41 and 42]. The aforesaid situation
H3: The perceived credibility of SNS advertising is
positively associated with perceived advertising
value.
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Middle-East J. Sci. Res., 16 (3): 319-330, 2013
Personalized Product/Brand Content: The value and
meaning of the brand itself will assist consumers in
judging the merits of the product. The emerging latest
technologies have helped companies to respond
vigilantly to customer's complaints, give proper feedback
and tailor the products and services according to the
needs of the consumers. Brand pages of SNS allow
unique identification of product and help to distinguish
them from competitors. Marketers communicate
intensively about brands to consumers whom in turn learn
more about the products [26, 49]. Unlike traditional
advertisement, the SNS advertisement can add many eyes
catching, enchanting attributes in the advertisements
which employ personalized design to draw consumer
attention [50]. Customers allowed specifying their
attribute preferences in selecting products are found to be
more satisfied [49].
Becoming the fans of brand pages, the consumers
tend to be loyal to that brand and become eager to get
more and more information regarding that brand [51].
The consumers become emotionally attached to that
brand as well [52]. Due to high social-networking site's
advertisements contain personalized information about
consumers' preferred interactivity of social media; brand
effect also plays an important role [53]. If brands, they can
improve consumer acceptance and brand loyalty, which
in turn, helps to increase perceived value of the
advertisement. Hence, in this regard this study
hypothesizes:
Consumers are more contented if they are open to
describe their attribute preferences [49]. Personalizing
products gives consumers feel of being empowered;
hence the value of such products is amplified [55].
Customers often pay extra for the products they feel more
valuable [56]. If a company seriously takes the feedback
from the consumers and tails the product attributes, it
adds great value for the consumers and there is found to
be a clear change in their attitude towards these
advertisements, for instance. They ignore the price of the
product [50]. Hence, this study draws next hypothesis:
H5: The personalized price related content of
SNS-advertising is positively associated with perceived
advertising value.
Personalized Promotion Content: With the advancement
in information technology, there are ample avenues of
opportunities for marketers to use the internet for
promotion. Promotion helps to increase product
awareness, persuade consumers to purchase that product
and give reminders to ultimate consumers [45, 46]. The
latest technologies such as web 2.0 allow marketers to
encourage active participation from their target customers
[48]. In such pattern, the consumers are co-creator with
the marketers. It makes the consumers active participant.
This participation always proves meaningful advancement
for the marketer because the consumer is always
considered as a heart of promotional strategy [26, 57].
Customer developed promotional tactics are more useful
to increase the value of product in the minds of
consumers. It also helps them to get the desired attitude
as they become more of a brand loyal and increase their
purchase intension. Such promotional strategy has more
potential to resonate with their brand fans (consumers) on
SNS.
The effectiveness of SNS advertisement increases
when the consumer comes across the promotional
activities which actively involve the consumers on brand
fan pages. This element plays a pivotal role when
designing SNS advertisement [24, 54]. Hence, this study
concludes the next hypothesis:
H4: The Personalized product/brand related content of
SNS-advertising is positively associated with perceived
advertising value.
Personalized Price Content: Like brand related content,
the price-related content should also be prominent on
these brand pages. Clear price information helps to attract
more consumers [24, 54]. Price is an important
consideration when a consumer undergoes for decision
making regarding product choice. Prices related
promotional activities favorably affect the consumers’
desire to purchase the products. Clear display of prices
and the related sales promotions strikes the attention of
the consumers and motivates them positively to check the
SNS advertisements. If they find these attractive, they
take purchase action after viewing that message.
Participation in the personalization process makes
consumers feel more comfortable which helps to
evangelize their experience with SNS advertising into
hedonic one. This process is highly subjective in nature.
H6: The personalized promotion content of SNSadvertising is positively associated with perceived
advertising value.
Mediating effect of Advertisement Value: Exchange is a
central process of marketing: the theoretical hub around
which marketing theories connect to form an integrated
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structure [48]. Exchange involves the passing of value to
each party [58]. An effective advertising message can be
viewed as a potential communication exchange between
advertiser and consumer [22]. In addition to the
effectiveness of digital advertising in terms of revenues,
advertising value is a perceptual measure to evaluate the
intangible effectiveness of the advertising campaign from
the consumer’s point of view. Advertising value is a
measure for advertising effectiveness [22]. The exchange
of value is beneficial to the advertiser only when the
consumer’s expectations are met or exceeded [48].
Personalization can provide marketers the
opportunity to reach their potential customers in a very
individual way which will increase and strengthen the
relationship with the consumers [25, 59]. Marketers can
access the demographic information collected by wireless
providers and use it for sending relevant messages and
promotions to the consumer which may increase response
and enhance the company’s image [24]. By this way, the
advertising can offer bundles of benefits to their
targeted customers. This is very much clear that
gratification attained through various attributes along
with personalization offered in advertisements increases
the value of the bundles of benefits gained by product or
services. This value is found to affect the attitudes of the
consumer towards advertisements [29]. Consumers are
highly persuaded by those advertisements for which they
have favorable attitude [60]. Thus, consumers’ favorable
attitude towards SNS advertisement gained through high
value achievement encourages them to accept SNS
advertisement. Henceforth we can hypothesize that not
only perceived value of advertisement is positively
associated with their attitude towards SNS advertisement
but also mediates the relationship of certain determinants
with their attitude towards advertisement. So this study
finally hypothesizes:
generally asked over a statement w hich is based on a
5-point likert scale. This Likert scale ranges from Strongly
Disagree to Strongly Agree. The first part of the survey
obtains the personal data about the respondent. The
subsequent part includes the qualification form to ensure
if the respondent actually uses the social-networking sites
or not. Only the SNS users can proceed further to respond
to the survey. The most important hub in the third part of
the survey questionnaire consisted of many questions
regarding major dependent, independent and mediating
variables of the study.
Items for infotainment, irritation and advertising
value are mainly derived from modified version of [16]
scales for advertising on the World Wide Web. The
credibility scale was based on modified version of
MacKenzie and Lutz [43] scale for advertising credibility
and the scale used to measure attitudes toward SNS
advertising was based on Alwitt and Prabhaker [61] scale,
which measured consumer attitudes toward television
advertisements. To suit the unique requirements of the
current research setting and address the unique nature of
social media sites, new items were being included in the
scales mentioned earlier. These new items are generated
when the researchers of the study mobilized discussion
on the online platform to check the cogency of the scales
and consulted little more prior literature [42, 47], after
which they come up with few more items for each of the
above-said variables. The scholars used and
authenticated such as technique while conducting
quantitative research [62, 63]. No matter the researcher is
going for initial instrument development or even adapting
existing instrument, in both cases, if the targeted
population is different from the previous researches, then
it is necessary to identify appropriate items for inclusion
in the present study [62]. Engaging these populations as
focus group participants can provide an efficient means
for the purposes of both item generation and refinement
[63]. By this way, the researcher was able to solicit insight
and perspectives spanning the issues regarding subject
area. This process also helped to develop multi scale item
for remaining three variables too, which were measured
using multi-item index scales. Finally, this study came up
with 35 assenting statements to explore the depth of the
phenomenon. This was then pretested with a separate
group of respondents to enhance its overall design.
The results disclosed need for very minor changes in
the questionnaire due to ambiguous wording. The
opening section of the questionnaire was comprised
of clear definition and brief explanation of SNS
advertising.
H7: A consumer's perception that advertising has a high
value is positively associated with their attitude toward
SNS advertising.
H8: Perceived Advertising value mediates the relationship
between infotainment, credibility, irritation, consumer
focused product, price, promotion content and attitude
towards SNS advertisement.
MATERIALS AND METHODS
Scale Development: The study consists of the survey
included the 35 problem statements. Respondents were
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Middle-East J. Sci. Res., 16 (3): 319-330, 2013
Table 1: Demographic Information of Respondents
Sample and Data Collection: To get the answer of the
above-mentioned research questions and hypotheses,
quantitative research methodology was
adopted.
Data was collected from non-random sample of university
students at a Pakistani Institution. The primary reason for
selecting these students was their accessibility but mainly
because of the reason they belong to generation that is
grown up in the technological age. There was a clear cut
eligibility criterion to qualify as a respondent of the study.
The start of survey questionnaire contains five questions.
If the respondents do not use Facebook, they were
politely asked to leave the survey.
A total of 400 questionnaires were distributed within
qualified respondents, of which 320 were returned and
deemed valid for data analysis, representing a response
rate of 80 per cent. Bernard [64] suggests that a valid
response rate for face-to-face surveys, as were used here,
are approximately 80 per cent.
As shown in Table, 1, the majority of respondents
was males (60 per cent). 50 per cent students had graduate
degree means they are currently studying at a post
graduate level. Similarly, as shown in Table 2, the
respondents can easily be categorized under heavy users
of SNS as 58 per cent of them use their SNS profiles
multiple times a day. The 40 per cent participants had
between 500-1,000 Facebook friends. This number is
significant; the average user on the site only has 130
friends [12]. Furthermore, 58 per cent respondents have
liked average 51-100 fan pages. The above-said statistics
may indicate that the participants in this survey are more
active on the site and know more fellow “Facebookers”
than the average user [42].
N
Percentage
Gender
Male
Female
186
123
59.6
39.4
Qualification
Undergraduate
Graduate
Post Graduate
MPhil
PhD
141
156
5
2
5
45.2
50.0
1.6
0.6
1.6
Table 2: Social-networking sites usage
Mean
S.D
SNS Usage Rate (N=306)
Hardly Ever
Few Times a Month
Few Times a Week
Daily
Multiple Times a Day
4.34
2.2 %
2.9 %
12.2 %
24.0 %
58.3 %
.956
Number of Friends(N=306)
Less than 100
101-500
501-1000
1001-1500
Above 1500
1.5161
58.3 %
40 %
3.5 %
1.0 %
1.6 %
.75774
No. of Brand Page Likes(N=306)
1-50
51-100
101-500
>500
1.7264
11.9 %
58.3 %
17.0%
7.7 %
1.02318
variable to explain a factor [66]. Thus, nearly all the
dimensions initially proposed by the researcher were
represented, so the validity of the initial scale was
established. Following factor analysis, the data were
checked for reliability using Cronbach’s alpha coefficient.
Table 3 a and, b clearly stated the items' loadings and
respective reliability statistics (Cronnbach Alpha) of each
variable. As shown in Table 3 (a-b) the results of this test
revealed that majority of the scales used to measure the
independent variables, mediating and the dependent
variable, presented acceptable levels of reliability i.e.
greater than 0.700 [67].
Data Analysis
Validity and Reliability Analysis: Before performing
correlation and regression analysis and checking
mediation effect, all measurement scales were gone
through principal component factor analysis with varimax
rotation. Field [65] suggests that this is an appropriate
method for checking the validity of questionnaire items.
The results of the factor analysis revealed that all items
used to measure Irritation, Credibility, Personalized
Product Content, Personalized Price Content, Personalized
Brand Content, Advertisement Value and Consumer
attitude towards SNS advertisement loaded substantially
(>0.40) on the extracted factor and all Items used to
measure infotainment loaded substantially (>0.30) on the
extracted factor. So all the extracted factors are under the
range of generally accepted minimum factors loading as it
depicts at least 10 per cent variance for a subsequent
Correlation Analysis: All seven hypotheses were
initially tested using a series of simple correlation
analyses. Table 4 presents the descriptive statistics
(mean and standard deviation) for all variables included in
the analysis of this study data, as well as the full
correlation matrix. The significant Pearson’s correlation
coefficients (r) values (P<.001) among all the study
variables show preliminary that the entire hypotheses are
proved.
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Table 3 a: Factor Analysis and Reliability results for Independent variables
Factor
Component
Factor loading
Credibility
C1
0.950
C2
0.949
C3
.946
C4
0.525
Irritation
Irr1
0.827
Irr2
0.796
Infotainment
Info1
0.621
Info2
0.793
Info3
0.636
Info4
0.601
Info5
0.397
Personalized Product Content
PPro1
0.624
PPro2
0.609
PPro3
0.560
PPro4
0.412
PPro5
0.410
PPro6
0.400
Personalized Price Content
PPri1
0.853
PPri2
0.852
PPri3
0.706
PPri4
0.698
Personalized Promotion Content
PPm1
0.738
PPm2
0.725
PPm3
0.657
PPm4
0.587
PPm5
0.476
Eigen Value
3.316
Table 3 b: Factor Analysis and Reliability results for mediating and dependent variable
Factor
Component
Factor loading
Advertising Value
AV1
0.821
Av2
0.803
Av3
0.784
Attitude towards SNS advertisement
ATA1
0.787
ATA2
0.739
ATA3
0.688
ATA4
0.645
ATA5
0.544
ATA6
0.447
Table 4: Correlation matrix for key variables
Variables
Mean
S.D
1.Infotainment
3.80
.715
2.Credibility
3.36
.658
3.Irritation
2.85
.951
4.Personalized Product Content
3.53
.531
5.Personalized Price Content
3.35
.856
6.Personalized Promotion Content
3.23
.727
7.Ad value
3.71
.751
8.Attitude towards SNS Advertisement
3.46
.698
Notes: Correlations are based on n=310; *p, 0.05; * *p, 0.01
1
1.00
.291**
-.252**
.447**
.235**
.257**
.467**
.486**
% of variance
12.280
Cronbach’salpha
0.873
1.861
6.891
0.746
2.567
9.506
0.688
2.122
7.858
0.700
3.144
11.645
0.842
2.577
9.545
0.729
Eigen Value
1.934
2.551
% of variance
64.481
Cronbach’s Alpha
0.723
42.518
0.719
2
3
4
5
6
7
8
1.00
-.072
.663**
.095
.240**
.477**
.421**
1.00
-.199**
.066
.067
-.199**
-.161*
1.00
.255**
.379**
.469**
.600**
1.00
.392**
.234**
.462**
1.00
.206**
.505**
1.00
.519**
1.00
Regression Analysis and Tests for Mediation: In order to
study the extent of impact of independent variables on
dependent variable and to test the mediating effect of
advertisement value, multi-step regression analysis was
carried out. Results of mediation tests, following the steps
recommended by Baron and Kenny, [68] are presented in
Table 5. For mediation to be valid, three conditions must
be fulfilled. The first condition is that the independent
variable must affect the mediator. The second is that the
independent variable must affect the dependent variable.
The third is that the mediator variable must affect the
dependent variable. These three conditions with the help
of multi-step regression analysis can be examined from
Models 1, 2 and 3 as shown in Table 5. In the first step of
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Middle-East J. Sci. Res., 16 (3): 319-330, 2013
Table 5: Regression Analysis and Test of Mediating Effect of Advertisement Value
Dependent Variable
Step 1
Independent to
Step 2
Independent to
Step3
Independent to Dependent variable
(Attitude towards SNS Ad)
Mediating variable
Dependent variable
in the presence of Mediating variable(Ad Value)
Infotainment
Irritation
Credibility
Personalized Product Content
Personalized Price Content
Personalized Promotion Content
.284**
-.091***
.217**
-.087
.275*
.105
-.027
.076
Conclusion
.133*
-.071
Partial Mediation
Full Mediation
Hypothesis 1 Supported
Hypothesis 2 Supported
.052
.257***
-.008
.237***
Full Mediation
Fail
Hypothesis 3 Supported
Hypothesis 4 Not supported
.235***
.279**
.250***
.273**
Fail
Fail
Hypothesis 5 Not supported
Hypothesis 6 Not supported
Ad Value
R Square
.313
.561
.195***
.588
Adjusted R2
Standard Error
.292
.57019
.548
.46052
.573
.44992
Hypothesis 7 Supported
--*p, 0.05; * *p, 0.01, ***p <0.01
Table 6: Tests for checking mediation effect of perceived Ad Value
Independent Variables
Infotainment
Credibility
Irritation
Personalized Product Content
Personalized Price Content
Personalized Promotion Content
Sobel Test
--------------------------------t-value
p-value
2.6227244
2.41391625
-1.35653867
0.81885371
1.40790244
-0.38219734
Arion test
---------------------------t-value
p-value
0.00872298
0.01578209
0.17492784
0.41286988
0.15915996
0.70231499
2.57779789
2.36374203
-1.31003371
0.78762497
1.36029993
-0.3669665
regression analysis, the impact of all independent
variables is studied on mediating variable that is
advertisement value. The model’s adjusted R² is.292 and
the F value (14.716) is significant (P< 0.001) depicting that
the variation in advertisement value is explained up to
29% through variation in independent variables. In the
second step of regression analysis, the impact of
independent variables is studied on dependent variable
that is the attitude towards advertisement. The model’s
adjusted R² is.548 and the F value (40.945) is significant
(P< 0.001) depicting that the variation in attitude towards
SNS advertisement is explained up to 55% through
variation in independent variables. In the third step of
Regression analysis, the impact of independent variable
is studied on dependent variable in the presence of
mediating variable. The model’s adjusted R² is.573 and the
F value (37.756) is significant (P< 0.001) showing that
independent variables account for 57.3% variation in
the dependent variable in presence of mediating
variable.
Perceived ad value fully mediates the effect of
Credibility and Irritation on attitude towards SNS
advertisement as coefficients of these variables are
significantly (p value of coefficients ranges from <.001 to
<.05) related to perceived ad value, but not related to
attitude towards SNS Advertisement. Perceived Ad value
partially mediates the effect of Infotainment on attitude
towards SNS advertisement value, indicated by the
coefficients decreasing from.22 to.13, in the presence of
0.009
0.018
0.190
0.430
0.173
0.713
Conclusion
Hypothesis 1 supported
Hypothesis 2 supported
Hypothesis 3 supported
Hypothesis 4not supported
Hypothesis 5not supported
Hypothesis 6not supported
perceived Ad value but still significant in nature as shown
in step3 of Table 5. Hence, hypotheses 1 to 3 are
supported by the data.
The mediation tests for perceived ad value on
personalized product, price and promotion content
dimension reveals a different picture. Perceived Ad value
does not mediate the effect of all three personalized
product, price and promotion content dimension,
indicated by all three variables not having a significant
effect on perceived ad value. This implies that perceived
ad value does not mediate the effects of these antecedent
variables on attitude towards SNS Advertisement.
Consequently, hypotheses 4 to 6 are unsupported. These
results indicate that personalized product, price and
promotion contents are the principal drivers of attitude
towards SNS advertisement, unmediated by perceived ad
value.
As suggested by [68], this
study
also
conducted Sobel Test to further support the
mediation model. This test helps to diagnose the
effect of mediating variable (Perceived Ad value) in
directing the effects of independent variables to the
dependent
variable
(Attitude
towards
SNS
advertisement). Under this test, a significant p-value
indicates support for mediation. Finally, the classic Aroian
(1944/ 1947) test of mediation was also used to further
verify the results. All of these tests also supported our
results gained through regression analysis as the results
are shown in Table 6.
326
Middle-East J. Sci. Res., 16 (3): 319-330, 2013
smart move from company let consumers feel exciting and
help built the brand’s fun and adventurous reputation.
Such as smart companies are adopting a heedful approach
of making products reflect well on their consumers by
creating a fan page which facilitates the consumers to
build and communicate their opinions. Such moves
proved to be strategic in nature, as they let the people feel
to enjoy, involved and important, in other words, it
improves their self-image. Because getting feedback from
the company makes consumers feel good about them.
This high sense of self-worth is what the sole purpose
behind socializing on SNS because consumers enjoy
these tailored-to-me offers. This also helps to generate the
smartest loyalty building move from the consumers that
shows their neutral attitude is changed to favorable one
which in turns helps to plumb the depths of the
company’s potentials.
Social media can said to be natural extension to
traditional customer services. If the customers find more
ways to contact you, they are more satisfied with the
company as it shows that they are being listened. Now if
the company’s DNA is not dedicated to listen and
respond in time, no technology can provide solution for
this problem. The consumers are getting more demanding
as they spent most of their waking time online so they
want instant gratification. Social media cannot be seen as
panacea, it is a catalyst for fresh thinking for improving
customer service in this digital age.
RESULTS AND DISCUSSION
This study contributes to the understanding of six
antecedents that influence the perceived value of
advertising:
infotainment,
irritation,
credibility,
personalized product content, personalized price content
and personalized promotion content. Among these six
factors, the links between infotainment, irritation,
credibility and the perceived value of advertising were
supported. Study strongly supported the first three
hypotheses, i.e. all three variables instead of having direct
impact do leave an impact on the attitude towards SNS
advertisement via ad value. When consumers believe that
SNS advertising is credible, informative, entertaining and
trustworthy, they tend to have favorable perceptions
about the value of advertising. Providing information is
one of the most important functions of advertising.
Entertainment establishes an emotional link with
customers and a brand message and is thus an important
factor to enhance ad value. The products those have
many entertaining responses from SNS users such as
comedic talk, repartee and parodies seem to be more
successful than others. In a competitive market place,
advertisements need to be interesting and enjoyable to
catch audiences' attention. This has been proven a
successful strategy to introduce the stigmatized products
through these virtual outlets. This seems to be consistent
with some previous studies on advertising [19, 31 and 69].
Next, the perceived value of advertising was found to be
the most important determinant of consumers' attitudes
towards advertising.
Contrary to first three variables, all three of the
personalized content dimensions i.e. product, price and
promotion content fails to support their mediating
relationship with attitude towards SNS advertisement
through perceived ad value, but the direct link to attitude
towards advertisement is strongly supported. Uses and
gratification theory has speculated different interactive
factors along with media content may inflict significant
direct influences on consumer's attitude towards and their
ultimate acceptance of diverse media like television,
social-networking sites, cell phones, etc. When people
want to improve their self-image, there are greater chances
of accepting advertising. As they feel advertising is
essential part of whole community and they accept it as a
normative behavior [70]. Especially teens have proven to
be fervent conversationalists. Straddling childhood and
adulthood, they communicate frequently with a variety
of important people in their lives. For this purpose,
social-networking sites provide an effective platform. Any
Managerial Implications: With the help of our study’s
findings, the brand manager can learn the tactics to
effectively utilize brand-related activities such as various
sales promotions’ announcements or many other
marketing tools. It also increases the manager’s
understanding of the brand-related attitudes of the
consumers. Similarly, it also helps them to understand
how to improve brand’s image to affect the attitude of
consumer positively, hence increase their purchase
intension. The findings of this study may be very helpful
to persuade potential customers, especially when the
customer spends most of his or her time on such sites. To
reach the millions of customers who thrive online
throughout a day and night, company needs different
type of thinking and some courage.
Problem can arise for managers when the company
does not have enough resources to handle the avalanche
of brand posts. But the benefits of using this channel
undermine some of these hiccups. Marketing managers
need to take customers as their best advocates. Social
media can be an ideal forum for CEOs to describe
327
Middle-East J. Sci. Res., 16 (3): 319-330, 2013
customers their candid viewpoint. The best strategy
for effectively utilizing social media tools can be to
establish a level of trust and build relationship with the
consumers.
The change in the consumers preferences requires
new thinking on the part of the manager about how to
(or if to) use one of the newer media and a sound
understanding of how consumers are using the Web to
collect information and how this impacts their
decision-making processes.
There are many success stories about usages of SNS
as medium of interaction but at the same times, it also
speculates some notable failures too [1]. The failure
factors contribute to people ignoring advertising due to
information over load, mistrust and boredom. The major
mistake many marketers are making is utilizing these social
media without developing proper strategy [1]. Marketers
need to understand new technologies were being
developed, not for giving power to the marketers, but for
empowering consumers [71, 72]. So it is necessary for
marketers to learn from mistakes to earn incredible long
term success.
9.
10.
11.
12.
13.
REFERENCES
14.
1.
2.
3.
4.
5.
6.
7.
8.
Wright, E., N.M. Khanfar, C. Harrington and
L.E. Kizer, 2010. The Lasting Effects of Social Media
Trends on Advertising. Journal of Business and
Economics Research, pp: 8.
Boyd, D.M. and N.B. Ellison, 2007. Social Network
Sites: Definition, History and Scholarship. Journal of
Computer-Mediated Communication, 13: 210-230.
Hoffman, D.L. and T.P. Novak, 2009. Flow Online:
Lessons Learned and Future Prospects. Journal of
Interactive Marketing, 23: 23-34.
Maddox, K., 2010. Optimism, accountability, social
media top trends. BtoB.
Armano, D., 2011. Six Social Media Trends for 2012.
HBR Blog Network [Online]. [Accessed 12 December
2011].
Winer, R.S., 2009. New Communications Approaches
in Marketing: Issues and Research Directions.
Journal of Interactive Marketing, 23: 108-117.
Chen, Y., S. Fay and Q. Wang, 2011. The Role of
Marketing in Social Media: How Online Consumer
Reviews Evolve. Journal of Interactive Marketing,
25: 85-94.
Amanda, L. and M. Mary, 2007. Social networking
websites and teens: an overview. Pew Internet and
American Life Project.
15.
16.
17.
18.
19.
20.
328
Cheung, C.M.K., P.Y. Chiu and M.K.O. Lee, 2011.
Online social networks: Why do students use
facebook? Computers in Human Behavior, 27:
1337-1343.
Belch, G.E. and M.A. Belch, (eds.) 1999. Advertising
and Promotion: An Integrated Marketing
Communications Perspective, Singapore: McGrawHill.
Saari, T., N. Ravaja, J. Laarni, M. Turpeinen and K.
Kallinen, 2004. Year. Psychologically targeted
persuasive advertising and product information in ecommerce. In: ACM International Conference
Proceeding Series, 2004 Delft, The Netherlands.
pp: 245-254.
Mandalia, R., 2012. Facebook Releases Usage
Statistics: 845 Million Users, 2.7 Billion Daily Likes
and Comments. Available: http://www. itproportal.
com/2012/02/02/facebook-releases-usage-statistics845-million-users-27-billion-daily-likes-andcomments/#ixzz20ubqtTba.
Trusov, M., R.E. Bucklin and K. Pauwels, 2009.
Effects of Word-of-Mouth versus Traditional
Marketing: Findings from an Internet Social
Networking Site. Journal of Marketing, 73: 90-102.
Aral, S. and D. Walker, 2011. Creating Social
Contagion through Viral Product Design: A
Randomized Trial of Peer Influence in Networks.
Management Science, 57: 1623-1639.
Eastin, M.S., 2008. Toward a Cognitive Development
Approach to Youth Perceptions of Credibility. In:
METZGER, M. J. and FLANAGIN, A. J. (eds.) Digital
Media, Youth and Credibility. Cambridge, MA: The
MIT Press.
Ducoffe, R.H., 1996. “Advertising Value and
Advertising the Web. Journal of Advertising
Research, 36: 21-35.
Bond, C., C. Ferraro, S. Luxton and S. Sands, 2010.
Social Media Advertising: An Investigation of
Consumer Perceptions, Attitudes and Preferences for
Engagement. In: CHRISTCHURCH (ed.) Australian
and New Zealand Marketing Academy Conference.
New Zealand.
Chesney, T., 2006. An empirical examination of
Wikipedia's credibility. First Monday, pp: 11.
Okazaki, S., 2007. Exploring Gender Effects in a
Mobile Advertising Context: On the Evaluation of
Trust, Attitudes and Recall. Sex Roles, 57: 897-908.
Katz, E., J.G. Blumler and M. Gurevitch, 1973-1974.
Uses and Gratifications Research. The Public Opinion
Quarterly, 37: 509-523.
Middle-East J. Sci. Res., 16 (3): 319-330, 2013
21. Aitken, R., B. Gray and R. Lawson, 2008. Advertising
effectiveness from a consumer perspective.
International Journal of Advertising, 27: 279-297.
22. Ducoffe, R.H., 1995. How Consumers Assess the
Value of Advertising. Journal of Current Issues and
Research in Advertising, 17: 1-18.
23. Wright, C.R., 1974. Functional analysis and mass
communication revisited. Departmental Papers (ASC),
pp: 86.
24. Varshney, U. and R. Vetter, 2001. A Framework for the
Emerging
Mobile
Commerce
Applications.
Proceedings of the 34th Annual Hawaii International
Conference on System Sciences ( HICSS-34)-Volume
9 - Volume 9. IEEE Computer Society.
25. Xu, D.J., S.S. Liao and Q. Li, 2008. Combining
empirical experimentation and modeling techniques:
A design research approach for personalized mobile
advertising applications. Decision Support Systems,
44: 710-724.
26. Mangold, W.G. and D.J. Faulds, 2009. Social media:
The new hybrid element of the promotion mix.
Business Horizons, 52: 357-365.
27. Chen, Q. and D. Wells, 1999. Attitude toward the site.
Journal of Advertising Research, 39: 27-37.
28. Ko, H., C.H. Cho and M.S. Roberts, 2005. Internet
Uses and Gratifications: A Structural Equation Model
of Interactive Advertising. Journal of Advertising
Research, 34: 57-70.
29. Tsang, M.M., S.C. Ho and T.P. Liang, 2004.
Consumer Attitudes Toward Mobile Advertising: An
Empirical Study. Int. J. Electron. Commerce, 8: 65-78.
30. Liu, C.L.E., R.R. Sinkovics, N. Pezderka and P.
Haghirian, 2012. Determinants of Consumer
Perceptions toward Mobile Advertising - A
Comparison between Japan and Austria. Journal of
Interactive Marketing, 26: 21-32.
31. Wang, Y. and S. Sun, 2010. Examining the role of
beliefs and attitudes in online advertising: A
comparison between the USA and Romania.
International Marketing Review, 27: 87-107.
32. Lin, K.Y. and H.P. Lu, 2011. Why people use social
networking sites: An empirical study integrating
network externalities and motivation theory.
Computers in Human Behavior, 27: 1152-1161.
33. Muntinga, D.G., M. Moorman and E.G. Smit, 2011.
Introducing COBRAs: Exploring motivations for
brand-related social media use. International Journal
of Advertising, 30: 13-46.
34. Taylor, D.G., J.E. Lewin and D. Strutton, 2011.
Friends, Fans and Followers: Do Ads Work on
Social Networks? Journal of Advertising Research,
51: 258-75.
35. Dholakia, U., R. Bagozzi and L. Pearo, 2004. A social
influence model of consumer participation in
network- and small-group-based virtual communities.
International Journal of Research in Marketing,
21: 241-263.
36. Vuylsteke, A., Z. Wen, B. Baesens and J. Poelmans,
2010. Consumers' Search for Information on the
Internet: How and Why China Differs from Western
Europe. Journal of Interactive Marketing, 24: 309-331.
37. Cormier, J., 2010. Facebook sees 23 percent of online
display ad impressions. Dallas Examiner.
38. Phelps, J.E., G. D'souza and G.J. Nowak, 2001.
Antecedents and consequences of consumer privacy
concerns: An empirical investigation. Journal of
Interactive Marketing, 15: 2-17.
39. Stone, B., 2010. Ads Posted on Facebook Strike Some
as Off-Key. New York Times.
40. Truong, Y. and G. Simmons, 2010. Perceived
intrusiveness in digital advertising: strategic
marketing implications. Journal of Strategic
Marketing, 18: 239-256.
41. Zhang, H., C. Guerrero, D. Wheatley and Y.S. Lee,
2010. Privacy Issues and User Attitudes towards
Targeted Advertising: A Focus Group Study.
Proceedings of the Human Factors and Ergonomics
Society Annual Meeting, 54: 1416-1420.
42. Kelly, L., G.F. Kerr and J. Drennan, 2009. Year. 'Try
hard' : Attitudes to advertising in online social
networks. In: Proceedings of the Australia and New
Zealand Marketing Academy Conference 2009,
Melbourne, Victoria.
43. Mackenzie, S.B. and R.J. Lutz, 1989. An empirical
examination of the structural antecedents of attitude
toward the ad in an advertising pretesting context.
The Journal of Marketing, pp: 48-65.
44. Metzger, M.J. and A.J. Flanagin, 2008. Digital Media,
Youth and Credibility, USA, MIT Press.
45. Hilligoss, B. and S.Y. Rieh, 2008. Developing a
unifying framework of credibility assessment:
Construct, heuristics and interaction in context.
Information Processing andamp; Management,
44: 1467-1484.
46. Mowshowitz, A. and A. Kawaguchi, 2002. Bias on
the web. Commun. ACM, 45: 56-60.
329
Middle-East J. Sci. Res., 16 (3): 319-330, 2013
47. Flanagin, A.J. and M.J. Metzger, 2007. The role of site
features, user attributes and information verification
behaviors on the perceived credibility of web-based
information. New Media and Society, 9: 319-342.
48. Kotler, P. and G. Armstrong, 2012. Principles of
marketing USA, Pearson Prentice Hall.
49. Huffman, C. and B.E. Kahn, 1998. Variety for sale:
Mass customization or mass confusion? Journal of
Retailing, 74: 491-513.
50. Wind, J. and A. Rangaswamy, 2001. Customerization:
The next revolution in mass customization. Journal of
Interactive Marketing, 15: 13-32.
51. Bagozzi, R.P. and U.M. Dholakia, 2006. Antecedents
and
purchase
consequences
of
customer
participation in small group brand communities.
International Journal of Research in Marketing,
23: 45-61.
52. Dholakia, U.M. and E. Durham, 2010. One café
chain’s Facebook experiment. Harvard Business
Review, 88: 26.
53. Fortin, D.R. and R.R. Dholakia, 2005. Interactivity and
vividness effects on social presence and involvement
with a web-based advertisement. Journal of Business
Research, 58: 387-396.
54. Park, T., R. Shenoy and G. Salvendy, 2008. Effective
advertising on mobile phones: a literature review and
presentation of results from 53 case studies. Behavior
and Information Technology, 27: 355-373.
55. Van Raaij, W.F. and A.T.H. Pruyn,
1998.
Customer control and evaluation of
service
validity and reliability. Psychology and Marketing,
15: 811-832.
56. Broekhuizen, T., J. Lennart and K.J. Alsem, 2002.
Success factors for mass customization: a conceptual
model. Journal of Market-Focused Management,
5: 309-30.
57. Hastings, G. and A. Haywood, 1991. Social marketing
and communication in health promotion. Health
Promotion International, 6: 135-145.
58. Houston, F.S. and J.B. Gassenheimer, 1987.
Marketing and Exchange. Journal of Marketing,
51: 3-18.
59. Chen, P.T. and H.P. Hsieh, 2012. Personalized mobile
advertising: Its key attributes, trends and social
impact. Technological Forecasting and Social
Change, 79: 543-557.
330
60. Mehta, A., 2000. Advertising attitudes and
advertising effectiveness. Journal of Advertising
Research, 40: 67-72.
61. Alwitt, L.F. and P.R. Prabhaker, 1994. Identifying who
dislikes television advertising: Not by demographics
alone. Journal of Advertising Research, 34(6): 17-29.
62. Loesch, L.C. and N.A. Vacc, 1993. A Work Behavior
Analysis of Professional Counselors, USA,
Routledge.
63. Mcmillan, S.C.N. and L.D. Borders, 2002. Use of
Focus Groups in Survey Item Development The
Qualitative Report, pp: 7.
64. Bernard, H.R., 2000. Social Research Methods:
Qualitative and Quantitative Approaches, London,
Sage.
65. Field, A., 2005. Discovering Statistics Using SPSS,
London, Sage.
66. Tinsley, H.E. and D.J. Tinsley, 1987. Uses of factor
analysis in counseling psychology research. Journal
of Counseling Psychology, 34: 414-424.
67. Hair, J., R.T.R. Anderson and BLACK, 1992.
Multivariate Data Analysis with Readings, New
York, Macmillan Publishing Co.
68. Baron, R.M. and D.A. Kenny, 1986. The moderatormediator variable distinction in social psychological
research Conceptual, strategic and statistical
considerations. Journal of Personality and Social
Psychology, 51: 1173-1182.
69. Goldsmith, R.E., B.A. Lafferty and S.J. Newell, 2000.
The Impact of Corporate Credibility and Celebrity
Credibility on Consumer Reaction to Advertisements
and Brands. Journal of Advertising Research,
29: 43-54.
70. Zeng, F., L. Huang, W. Doul, 1-13. 2009. Social
factors in user perceptions and responses to
advertising in online social networking communities.
Journal of Interactive Advertising, pp: 10.
71. Deighton, J. and L. Kornfeld, 2009. Interactivity's
Unanticipated Consequences for Marketers and
Marketing. Journal of Interactive Marketing,
23: 4-10.
72. Guilherme D., J. Pires, Stanton and P. Rita, 2006.
The
internet,
consumer empowerment
and
marketing strategies.
European
Journal
of
Marketing, 40: 936-949.