MASTER THESIS
“How does the timing of consumer source disclosure of co-created advertisements affect viewers’ advertisement and brand evaluation?”
University of Amsterdam Faculty of Economics and Business Master of Science in Business Administration
Track Marketing 2015/2016
Under supervision of: Dr. Marcel Weber
By: Julia Heinze
11086068
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STATEMENT OF ORIGINALITY
This document is written by Julia Heinze who declares to take full responsibility for the contents
of this document.
I declare that the text and the work presented in this document are original and that no sources
other than those mentioned in the text and its references have been used in creating it.
The Faculty of Economics and Business is responsible solely for the supervision of completion of
the work, not for the contents.
Julia Heinze
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ACKNOWLEDGEMENTS
I would like to thank several people for their guidance and support during the process of writing
this thesis. First of all, I would like to thank Dr. Marcel Weber for his motivation and guidance
during the last months. Furthermore, I am highly acknowledging my mother for her mental
support especially at the beginning of this process. Finally, I am thanking every single person that
participated in my research. Thanks to all their help and support I am now proudly holding this
document in my hands.
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TABLE OF CONTENTS
INTRODUCTION ... 7
LITERATURE REVIEW ... 9
1. Co-Creation ... 9
1.1. Factors that led to co-creation ... 9
1.2. The customer as source of innovation ...10
1.3. Competitive advantage through co-creation ...11
1.4. Collaboration along the value chain ...11
2. Consumer-Generated Advertising ...12
2.1. Solicited versus unsolicited CGA ...13
2.2. From traditional advertising to CGA ...14
2.2.1. The traditional role of advertising ...14
2.2.2. The liberation of advertising ...16
2.3. Meaning of CGA for companies ...17
2.3.1. CGA - A double edged sword ...17
2.3.2. Consumers’ motivations to engage in CGA ...20
2.3.3. Strategies to manage CGA ...21
2.4. Meaning of CGA for viewers ...22
2.4.1. Is CGA word-of-mouth communication? ...23
2.4.2. Drivers of increased CGA effectiveness ...26
2.4.3. CGA’s effect on advertisement and brand evaluation ...29
RESEARCH ...32
3. Research Gap and Research Question ...32
4. Expected Contribution ...33
5. Conceptual Framework and Hypotheses ...34
6. Research Design ...41
7. Results ...43
7.1. Reliability ...44
7.2. Factor analysis ...44
7.3. Recoding of conditions ...45
7.4. Hypothesis 1 - The effect of consumer source disclosure ...45
7.5. Hypothesis 2 - The effect of the differential timing of consumer source disclosure...47
7.6. Hypothesis 3 - Consistency of the evaluation pattern for different ads ...51
7.7. Alternative effects on ad and brand evaluation ...54
7.8. Demographics ...55
7.9. Conclusion of results ...55
DISCUSSION ...58
5 8.1. Hypothesis 1 ...58 8.2. Hypothesis 2 ...59 8.3. Hypothesis 3 ...63 8.4. Alternative effects ...65 9. Theoretical Implications ...66 10. Managerial Implications ...68
11. Limitations and Future Research ...69
CONCLUSION...71
REFLECTION ...74
REFERENCES ...78
APPENDIX ...86
INDEX OF TABLES AND FIGURES
Table 1: Number of respondents per consumer source disclosure x ad replicate condition ... 90Table 2: Factor loadings after rotation of ad and brand evaluation scales ... 90
Table 3: Means of ad and brand evaluation items for control and disclosure condition ... 90
Table 4: Means of ad and brand evaluation items for control and disclosure condition for ‘When pigs fly’ ad ... 91
Table 5: Means of ad and brand evaluation items for control and disclosure condition for ‘Middle Seat’ ad ... 92
Table 6: Means of ad evaluation items for each timing of disclosure condition and Turkey post-hoc test ... 93
Table 7: Means of ad and brand evaluation items for ‘When pigs fly’ ad and ‘Middle Seat’ ad ... 94
Figure 1: Means of factor ad evaluation for control and disclosure condition ... 46
Figure 2: Means of factor brand evaluation for control and disclosure condition ... 46
Figure 3: Means of factor ad evaluation for control and disclosure condition for ‘When pigs fly’ ad ... 91
Figure 4: Means of factor brand evaluation for control and disclosure condition for ‘When pigs fly’ ad ... 91
Figure 5: Means of factor ad evaluation for control and disclosure condition for ‘Middle Seat’ ad. ... 92
Figure 6: Means of factor brand evaluation for control and disclosure condition for ‘Middle Seat’ ad ... 92
Figure 7: Means of factor ad evaluation per timing of disclosure condition ... 48
Figure 8: Means of factor brand evaluation per timing of disclosure condition ... 48
Figure 9: Means of factor ad evaluation per timing of disclosure condition for ‘When pigs fly’ ad ... 93
Figure 10: Means of factor brand evaluation per timing of disclosure condition for ‘When pigs fly’ ad ... 93
Figure 11: Means of factor ad evaluation per timing of disclosure condition for ‘Middle Seat’ ad ... 93
Figure 12: Means of factor brand evaluation per timing of disclosure condition for ‘Middle Seat’ ad ... 93
Figure 13: Means of factor ad evaluation for ‘When pigs fly’ ad and ‘Middle Seat’ ad ... 51
Figure 14: Means of factor brand evaluation for ‘When pigs fly’ ad and ‘Middle Seat’ ad ... 51
Figure 15: Means of factor ad evaluation per timing of consumer source disclosure x ad replicate condition ... 53
Figure 16: Means of factor brand evaluation per timing of consumer source disclosure x ad replicate cond. ... 53
Figure 17: Means plot depicting the interaction of timing of consumer source disclosure with ad replicate... 53
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ABSTRACT
In business, the new millennium marked a “paradigm shift from value creation for to value
creation with customers” (Mahr et al., 2014, p.601). Companies realized that the integration of
the customer as source of innovation enables to achieve unique competitive advantages along the
value chain. A growing trend is the co-creation of advertisements, also referred to as
consumer-generated advertising (CGA). Even though the phenomenon started with consumers initiatively
engaging in the creation and dissemination of brand related video content, firms soon recognized
the value of actively soliciting consumer-generated ads. As this, however, refers to consumer
ad-creators in the first place, research was interested how CGA is perceived by customers not
involved in ad-creation. As prior studies yielded opposing results, thereby suggesting a
moderating role of the ad itself, the present study replicated the analysis of the effect of consumer
source disclosure on viewers’ ad and brand evaluation using two different ads. Additionally, it
responds to a pronounced research claim by examining whether and how the differential timing
of consumer source disclosure is influential. Based on an online quasi-experiment with 191
international respondents, it could be revealed that consumer source disclosure increases ad
evaluation in a significant, and brand evaluation in a not significant way. A regards the timing;
disclosure prior versus post exposure has a meaningful but not statistically significant effect.
Disclosure post exposure consistently yields higher ad evaluation. However, the ad itself
influences effect strength. Further, depending on the ad in question, disclosure post exposure has
a positive or negative impact on brand evaluation. The study concludes with a discussion of
theoretical and managerial implications, as well as suggestions for future research.
Keywords: Co-creation, Co-Created Advertising, Consumer-Generated Advertising, CGA,
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INTRODUCTION
The way companies compete in the marketplace is in evolution. Whereas conventional models of
value creation had a company- and product centric view, and clearly differentiated between
production and consumption; contemporary models are more customer-centric, and production
and consumption move closer together. There is a “paradigm shift from value creation for to
value creation with customers” (Mahr et al., 2014, p.601). In order to be able to accurately respond to customers’ ever more complex and fast changing needs, and to grow, survive and
diversify in the dynamic global market, companies are opening up their value creation processes.
The customer is no longer seen as a passive agent but an active partner, a source of innovation
and competence with who firms interact to co-create value. To a large extent, this is enabled and
realized by making use of new technologies and virtual collaboration concepts. Customers are
asked to contribute creativity, ideas and knowledge, as well as skills, effort and resources. In
using these external capabilities is where unique and sustainable competitive advantage resides.
One growing trend in business practice is the co-creation of advertisements, also referred to as
consumer-generated ads. Brands increasingly address consumers asking them either to develop
advertisement concepts which will then be realized by an ad agency; or even to submit produced
ads ready for broadcasting. The American chips producer Frito-Lay Doritos is considered a peer
in the use and leverage of co-created advertising. By involving the consumer in ad-development,
companies not only gain valuable insights, but can also respond to the need of collaboration and
engagement building with them. While this, however, applies to those consumers participating in
the creation advertisements in the first place, studies were also interested in the effect of
co-created ads on customers not involved in the ad-creation process. Since winner ads, in most
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companies’ self-generated communication, this is important to know. Past studies already probed
into this direction, but yielded opposing results. Whereas the study by Lawrence et al. (2010)
revealed that ads labeled as co-created enhance viewers’ advertisement and brand evaluation;
Thompson and Malaviya (2013) found that consumer source disclosure decreases evaluation.
However, in both studies, the samples were informed about the ad being co-created prior to
exposure. Thompson and Malaviya (2013, p.46) claimed that “the timing of viewers’ learning about the consumer source (before or after ad exposure) deserves further investigation”. As an
experiment by Lee et al. (2006) showed, information disclosure prior to exposure can negatively
influence evaluation compared to information disclosure following exposure, the latter yielding
results nearly as positive as when no information was given.
Given these results, it seems valuable to carry out a replicative study that could strengthen either
position of a positive or negative effect of consumer source disclosure on viewers’ advertisement
and brand evaluation, and to test the role of the timing of consumer source disclosure. Therefore
the research question of the present thesis reads as follows:
“How does the timing of consumer source disclosure of co-created advertisements affect viewers’ advertisement and brand evaluation?”
The thesis is structured as follows. First, the literature on the phenomena of co-creation and
consumer-generated advertising is reviewed, leading to the identification of the research gap and
question. Expected contributions are outlined. A conceptual framework serves for developing the
hypotheses. Next, the research design is described. Results then are analyzed in detail. Following
this, results are discussed. Theoretical and managerial implications as well as limitations and
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LITERATURE REVIEW
1. Co-Creation
While the creation of products and exchanges has been the focus of business for decades; the new
millennium marked the beginning of a new era. Academics emphasize that, in order to develop
and maintain a competitive advantage and their customer base, companies must alter their
understanding of value and value creation (Prahalad & Ramaswamy, 2004). The introduction of
the service-dominant logic to marketing (Vargo & Lusch, 2004), and the call for brands that do
not dictate culture but provide cultural materials (Holt, 2002); stimulated the debate for a stronger
focus on co-creating value with the customer instead of creating value for the customer (Mahr et
al., 2014). The product itself moves into the background. There is conviction that consumer-firm
interaction processes mark the new “locus of value creation” (Prahalad & Ramaswamy, 2004,
p.5; Fuchs & Schreier, 2011; Mahr et al., 2014; von Hippel, 2001).
1.1. Factors that led to co-creation
Today’s market challenges companies not only in terms of increased competition. They also have
to deal with customers’ ever more diversified, sophisticated and complex needs and wants.
Responding to these, of course, is a prerequisite for success. However, capturing them in
necessary depth cannot be achieved with established market research techniques anymore. More
thorough research methods such as ethnographic studies provide deep insights, but are difficult to
conduct, costly and time-consuming (von Hippel, 2001). Further, it is questionable whether the
effort will pay off, since the new product is threatened by competition and vulnerable to
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seem to be a valid strategy anymore. Therefore, companies seek to capture value by improving
processes and reducing costs along the value chain. In consequence, however, market forces
stimulate the price spiral to turn downwards. Finally, this leads to the “walmatization”, the quick
erosion of value, of the carefully developed offer (Prahalad & Ramaswamy, 2004, p.8). As a
result, the market presents a paradox of companies investing in a greater variety of products, but
profits and customer satisfaction being in decline (Füller, 2010; Prahalad & Ramaswamy, 2004;
Zhang & Chen, 2008). Obviously, companies need to change the way they act in the marketplace.
1.2. The customer as source of innovation
In order to respond to the unique and quickly changing needs of their users, being able to
customize their products and to serve ‘markets of one’, leading companies “abandon their
increasingly frustrating efforts to understand users’ needs accurately and in detail” (von Hippel,
2001, p.247). Rather, they open up the value creation process and outsource (innovation) tasks to
the customer "in order to get access to external ideas and solutions” (Füller et al., 2011, p.259;
Fuchs & Schreier, 2011; Mahr et al., 2014; Poetz & Schreier, 2012; Prahalad & Ramaswamy,
2004; von Hippel, 2001). Business understood that value creation is not restricted to the
boundaries of the firm (Prahalad & Ramaswamy, 2004). In fact, it can considerably be leveraged
by actively engaging and interacting with the customer. Firms no longer see their customers as
passive, external agents - but as partners, as valuable sources of innovation and competence
(Fuchs & Schreier, 2011; Füller, 2010; Kristensson et al., 2004; Mahr et al., 2014; Poetz &
Schreier, 2012; Zhang & Chen, 2008). By “bringing production and consumption closer
together” (Achrol & Kotler, 2012, p.37) companies co-create value with their customers
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1.3. Competitive advantage through co-creation
“[I]nvolving customers to co-create value is an important strategy for businesses competing to
[…] gain competitive advantages” (Zhang & Chen, 2008, p.242). Conventionally, customer
integration was limited to asking them about and examining their needs and desires (Füller,
2010). Engaging customers as value co-creators, however, means working in close interaction
and open dialogue (Prahalad & Ramaswamy, 2004). To a large extent, this is enabled and
realized by making use of new technologies and virtual collaboration concepts such as open
innovation and crowdsourcing (Fuchs & Schreier, 2011; Füller, 2010). Customers are asked and
willing to contribute creativity and ideas, knowledge, experience and solutions as well as skills,
effort and resources (Füller, 2010; Mahr et al., 2014; Zhang & Chen, 2008). In using these
external capabilities is where unique competitive advantage resides, that is beneficial to both,
companies and consumers (Fuchs & Schreier, 2011; Mahr et al., 2014; Prahalad & Ramaswamy,
2004; Zhang & Chen, 2008). Therefore, “business competition is shifting from focusing internal
efficiency to leverage external competence” (Zhang & Chen, 2008, p.248).
1.4. Collaboration along the value chain
The collaboration with customers is not limited to a certain step in the value creation process. Rather, “managers should consider all possible processes and activities to co-create value with
customers” (Zhang & Chen, 2008, p.248).1
Customer competence can and should be leveraged
and integrated with internal processes and resources along the value chain (Payne et al., 2008;
Zhang & Chen, 2008).
1
Customer involvement is beneficial for developing, designing, testing and selecting new ideas, concepts and products (Fuchs & Schreier, 2011; Füller, 2010; Füller et al., 2011; Prahalad & Ramaswamy, 2004), as well as for “production, assembly, distribution, retail, [and] after sales service” (Zhang & Chen, 2008, p.243).
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Following this, one growing trend in business practice is the co-creation of advertisements, also
referred to as consumer-generated advertising.
2. Consumer-Generated Advertising
The upsurge of the Internet did not only enable and facilitate communication from company to
customer, but also from customer to customer. Especially through the emergence of social media
platforms, customers were empowered to act and interact, and thereby to create and disseminate
content (Pehlivan et al., 2011). Whereas user-generated content (UGC) earlier was reduced to a
textual form, it increasingly comes in the form of images and videos (Madden, 2007; Purcell,
2010). This development is attributable to the combination of platforms such as YouTube,
Facebook and Twitter - allowing the publication and distribution of content; and broadly
accessible media software and modern recording technologies such as smartphones and
camcorders - facilitating the creation of video content (Berthon et al., 2008; Campbell et al.,
2011; Etimur & Gilly, 2012; Lawrence et al., 2013; Pehlivan et al., 2011). Often,
consumer-generated video content is brand-related and resembles company-created ads (Campbell et al.,
2011; Etimur & Gilly, 2012; Muñiz & Schau, 2007; Pehlivan et al., 2011; Walker, 2006).
Over the past ten years, the marketing phenomenon of consumer-generated advertising (CGA), which Berthon et al. (2008, p.8) define as “any publicly disseminated, consumer-generated
advertising message whose subject is a collectively recognized brand”, has become quite popular.
The American chips producer Frito-Lay Doritos is considered a peer in the use and leverage of
CGA. This year for the tenth time, the company ran its by now famous ‘Crash the Super Bowl’
contest for consumer-generated advertisements and placed the winner ads in “the most expensive
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p.2). Each year, the performance of these ads was impressive.2 Inspired by Doritos ads’ success, many companies followed this example.3 However, the practice of CGA did not initially start with companies addressing their consumers to generate ads for them.
2.1. Solicited versus unsolicited CGA
The phenomenon of consumer-generated advertising started organically (Lawrence et al., 2010).
It developed naturally from consumers engaging in brand-related video content creation online.4 This contrasts the phenomenon of co-creation as outlined in chapter one, which started with firms
asking consumers to interact with them. Only when companies recognized the value of involving
consumers in ad-development, they started to sponsor ad-creation competitions and to actively
encourage and enable the creation and dissemination of CGA (Lawrence et al., 2010). Today,
brands increasingly address consumers asking them either to develop advertisement concepts
which will then be realized by an ad agency; or even to submit produced ads ready for
broadcasting (Thompson & Malaviya, 2013).
As a result, we can observe two types of CGA: either it is company-solicited and created in the
frame of firm-sponsored ad-creation contest, which extant literature refers to as ‘solicited CGA’
2
As Lawrence et al. (2013, p.292) report, they not only “won awards […], [drew] the most positive ratings in the Super Bowl Ad Review […], ranked in the number one spot in USA Today’s Ad Meter rankings […], generated the most tweets and positive sentiments in the Mullen Brand Bowl […], and supported the ‘most buzzed about brands,’ according to Nielsen BuzzMetrics”. Also, “according to Ann Mukherjee, senior vice president and chief marketing officer for Frito-Lay North America, Doritos’ CGA campaigns have been the most successful marketing initiatives in the brand’s history, garnering improved performance on metrics including pass-along value, online currency, media value, and brand equity” (Lawrence et al., 2013, p.292).
3
Also Unilever, General Motors, the National Football League, PepsiCo and Bayer used this form of advertising and placed them during the Super Bowl or the Oscars (Etimur & Gilly, 2012; Lawrence et al., 2010; Lawrence et al., 2013; Thompson & Malaviya, 2013). Amazon, American Express, Converse, Google, Heinz, L’Oréal, Microsoft, Mozilla Firefox, Nike, Procter & Gamble, Sony, Toyota and Walmart are some further examples that make use of consumer-generated advertisements in their communication mix (Bosman, 2006; Etimur & Gilly, 2012; Lawrence et al., 2010; Lawrence et al., 2013; Walker, 2006).
4
For example, in 2004, school teacher George Masters created and uploaded an ad for the iPod that due to its highly professional appearance caught the attention of thousands of people and quickly spread on the web (Ives, 2004).
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or ‘contest(-generated/-inspired) CGA’; or it is unsolicited by companies and pro-actively created
by consumers, which extant literature refers to as ‘unsolicited CGA’, ‘consumer CGA’, ‘organic CGA’ or ‘naturally-occurring CGA’ (Etimur & Gilly, 2012; Lawrence et al, 2010). While
unsolicited CGA is a pure form of UGC, that is “initiated as well as created by consumers,
solicited CGA can be viewed as hybrid forms of content that are firm-initiated and consumer-created” (Etimur & Gilly, 2012, p.116).
In the face of this distinction, it has to be criticized that extant literature often interchangeably
uses the terms “co-created ads” and “consumer-generated ads”. They cannot be used as
synonyms per se. Rather; consumer-generated ads describe unsolicited CGA, whereas co-created
ads describe firm-solicited CGA. Therefore, in the remainder of this thesis, the terms CGA/
CGAs are used when referring to consumer-generated advertising/ advertisements in general. The
terms solicited CGA and unsolicited CGA are applied when referring to either of the two forms.
Whether solicited or not, the phenomenon of CGA challenges the traditional view of advertising.
2.2. From traditional advertising to CGA
Whereas advertisements traditionally were created by companies and consumed by customers,
CGAs demonstrate the convergence of the production and consumption of ads (Berthon et al.,
2008). Due to advertising’s importance for branding, marketing and sales, its liberation, marked
by the upsurge of CGA, needs to be taken seriously.
2.2.1. The traditional role of advertising
Conventionally, firms used advertisements with the intention to trigger awareness, recall and
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as such; to build mind share by generating attitude and invoking positive associations and
emotions; as well as to persuade and influence the behavior of present and potential customers
(Berthon et al., 2008; Campbell et al., 2011; Etimur & Gilly, 2012; Pehlivan et al., 2011). Several
models have been developed that conceptualize how advertisements work.
The first formal and most basic model of advertising is ‘AIDA’, developed by E. St. Elmo Lewis
in 1898 (Vakratsas & Ambler, 1999). The model describes the through advertisements triggered
sequence of Attention, Interest, Desire and Action.
A more detailed framework of ‘how advertising works’ has been established by Vakratsas and
Ambler (1999), who summarized the advertising knowledge developed since 1960. They describe
the advertisement itself - the advertising strategy composed of message content, media
scheduling and repetition - as input consumers receive from a brand. This input is intended to
elicit a behavioral response from the part of the consumer - choice, purchase, consumption/
usage, loyalty, habit etc. However, before advertising affects consumers’ behavior, it first affects
them, consciously or not, mentally. These mental effects are described as consumers’
intermediate responses to advertising, which can be cognitive, affective, and experiential. To
some extent, the marketer can control for the desired response dimension by positioning the ad message accordingly. However, consumers’ individual responses are mediated by some factors,
considered as filters of the advertising input. The major filters are ability and motivation to
process the input as well as attitude toward the ad, which can dramatically alter or change consumers’ response. In conclusion, this leads to a model describing the functioning of
advertising as follows: the consumer receives advertising input from a brand, filters this
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Another model justifying the importance of advertising for branding, marketing and sales is the
Dual-Mediation Hypothesis. Initially developed by Lutz et al. (1982), the model has received
significant empirical support since (Brown & Stayman, 1992). It posits the following three causal
relationships on two paths: Path one posits that Ad Cognitions lead to Ad Attitude. Path two
posits that Brand Cognitions lead to Brand Attitude which leads to Purchase Intention.
Additionally, the model postulates that these two paths are connected: Ad Attitude has a direct
effect on Brand Attitude and an indirect effect on it by directly affecting Brand Cognitions. As a
result, this model explains how advertising affects purchase (intention). Further research
suggests, that ad attitude and especially ad likeability indicate ad effectiveness best, as it has been
shown that they are positively related to persuasion and the ad’s impact on sales (Haley &
Baldinger, 1991)
All these models show that advertising is an important tool for companies to influence consumers’ perceptions, attitudes and behavior with respect to the brand. With CGA, however,
this powerful tool is no longer privileged to companies only.
2.2.2. The liberation of advertising
The upsurge of CGA demonstrates that advertising has become liberated from companies’ and agencies’ exclusive control, and that ordinary consumers are willing and able to become
advertisers (Berthon et al., 2008; Campbell et al., 2011; Creamer, 2007; Etimur & Gilly, 2012;
Klaassen, 2006; Muñiz & Schau, 2007; Pehlivan et al., 2011). This implies that consumers are no
longer only passive recipients of brand communications (Berthon et al., 2008; Pehlivan et al.,
2011). Now, they also actively “communicate on behalf of […] firms and participate in creating
brand images” (Etimur & Gilly, 2012, p.116). Therefore, with consumers taking over tasks for
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the traditional view of advertising as a form of company-controlled [unidirectional] communication” (Etimur & Gilly, 2012, p.116). Specialists acknowledge that a ‘revolution in
advertising’, a ‘branding reformation’ towards ‘brand co-creation’ and ‘co-promotion’ is taking
place (Berthon et al., 2008; Walker, 2006). Consumers are “influencing marketing strategy as never before”. At the meeting of the Association of National Advertisers 2006, the sectors’ most
important conference, the speakers “declared that it’s time to give up control and accept that
consumers now control their brands” (Creamer, 2007). Supporting this view, Advertising Age
awarded ‘The Consumer’ as Agency of the Year 2006 (Creamer, 2007).
Even though companies’ ultimate advertising goals are the same with CGA as with conventional
ads; business and research recognized CGA’s unique characteristics with respect to its meaning
for companies and consumers.
2.3. Meaning of CGA for companies
As consumers can have different motivations to engage in CGA, the messages they communicate
with the ads they create can be positive or negative. As a result, CGA can represent both, an
opportunity or a threat for companies. Therefore, and in light of advertisements’ general impact
on consumers as described in 2.2.1., it is necessary to know how to manage the phenomenon.
2.3.1. CGA - A double edged sword
The reasons for companies’ interest in consumer-generated ads are compelling. First of all, they
provide insights and fresh ideas. They demonstrate how consumers perceive the brand and the
firm; and they allow firms to tap into consumers’ creativity (Muñiz & Schau, 2007; Thompson &
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firms can learn how to frame ad messages that consumers perceive as compelling (Campbell et
al., 2011; Muñiz & Schau, 2007).
Second, by involving the customer in ad-development, companies can respond to the need of
interaction, collaboration and engagement building (Etmiur & Gilly, 2012; Howard, 2006;
Lawrence et al., 2010; Thompson & Malaviya, 2013). Allowing consumers to participate in the
communication of the brands they love but also hate, enriches the advertising experience and
offers a venue for investing emotion and passion (Berthon et al., 2008; Howard, 2006; Muñiz &
Schau, 2007). With the customer a co-owner of the brand, the brand and the meaning of its
messages become richer in credibility and authenticity, more personal and more relevant. This
helps to create a stronger relationship between the customer and the brand, to make the brand
more approachable, and to differentiate it from competitors (Lawrence et al., 2010; Wong, 2009).
Third, CGAs are thought to trigger more and deeper consumer involvement than traditional ads
due to their inherent social dimension - “the community environments into which CGAs are posted, […], and the active forwarding and sharing of CGAs” (Lawrence et al, 2010, p.5).
Simultaneously, this implies positive WOM for the company (Wong, 2009).
Another advantage is that consumer-generated ads strongly resemble traditional ads. In their
study, Etimur and Gilly (2012) reveal, that CGAs, just as traditional ads, aim to persuade
viewers, and also have a deceptively similar “look and feel”. Also Muñiz and Schau (2007)
acknowledge that consumers are able and quite skilled in creating brand-related communication.
According to them, they produce content of high quality and ready for broadcasting that is
original and sophisticated, as it uses the styles, grammars and logics of professional
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Additionally, “CGAs inspired grassroots marketing that cut through the clutter with resonant
messaging at lower costs” (Lawrence et al., 2010, p.3). This does not only refer to production
costs. Whereas companies conventionally had to buy into consumer attention; online platforms
allow ad dissemination at no cost (Campbell et al., 2011). Also, they generate lots of free
publicity for the firm (Berthon et al., 2008), that can reflect positively on sales and firm image.5
However, CGA is “a double-edged sword” (Pehlivan et al., 2011, p.314). Story (2007) reports, that with CGA contest, “companies have found that inviting consumers to create their advertising
is often more stressful, costly and time-consuming than just rolling up their sleeves and doing the
work themselves”. Obviously, it requires quite some effort to go through all the submitted ads,
next to considerable upfront investment to promote the contest as well as placement fees for the
ads aired on TV.
Also, Heinz, for example, had to cope with consumers criticizing the company to be “looking for cheap labor” and to be “lazy to ask consumers to do its marketing work” (Story, 2007).
A fact that is even more critical is that consumers have the freedom to generate both, positive as
well as negative messages (Pehlivan et al., 2011). Chevrolet is an example of a firm that
encountered negative consequences. When running a CGA campaign for their Tahoe brand, the
company had to deal with one in five submissions being derogatory toward the brand by mainly criticizing the SUVs’ environmental impact (Bosman, 2006; Sandoval, 2006). Also brands such
as United Airlines and Dove were confronted with “parody-heavy CGA campaigns” (Lawrence
et al., 2013, p.293).
5 Perfetti van Melle’s Mentos brand encountered a 15% sales increase following “The Diet Coke & Mentos
Experiment”, a consumer ad that went viral in 2006 (Creamer, 2007). Converse experienced a similar 12% sales growth and the Web site’s monthly visits went up 40% (Kiley, 2005). Procter & Gamble even acknowledged that CGA helped the company to change perceptions of the firm from being conservative to being innovative among various stakeholders (Etimur & Gilly, 2012)
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These examples show that by putting brand communication in the hand of the consumer;
companies lose control over the brand message, thereby risk message inconsistency, and even
expose the brand to ruinous attacks and disaster (Berthon et al., 2008; Story, 2007). This
challenges the view of Muñiz and Schau (2007, p.35), who elaborate on CGA using the term ‘vigilante marketing’, which they define as “unpaid advertising and marketing efforts, including
[…] commercially oriented communications, undertaken by brand loyalists on behalf of the
brand”. The mentioned negative examples show that CGAs are not always created by brand
loyalist, but also by people that want to harm the brand.
This inspired Berthon et al. (2008) to perform a study on the motivations of customers to engage
in ad-creation for companies.
2.3.2. Consumers’ motivations to engage in CGA
By means of in-depth interviews with customer ad-creators, Berthon et al. (2008) revealed three
main factors of motivation: First, consumers can be motivated by intrinsic enjoyment of the
creative task and see ad-creation as a hobby, an end in itself. Second, consumers can be
motivated by self-promotion and engage in ad-creation for professional reasons, see it as means
to an end. Third, consumers can be motivated to change perceptions, whereby they also see the
ad-creation as means to an end, the end to influence viewers. These motives are not exclusionary
but can also come in combination. All in all, this implies that ad-creator motivation is not
necessarily subjective. It can also be instrumental and outwardly directed.
This further illustrates that consumer-generated ads are likely to be positive when creators are
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explains the danger of CGA resulting in negative content. Therefore, the phenomenon is risky
and needs to be managed.
2.3.3. Strategies to manage CGA
Berthon et al. (2008) developed a framework of CGA management strategies consisting of two
axes: The first axis depicts the firm’s general attitude toward CGA (positive vs. negative). The
second axis depicts the firm’s action when confronted with CGA (active vs. passive).
Consequently, there are four ways to react to CGA.
In the most extreme cases, companies repel and actively show their negative attitude toward
CGA. A softer approach, that prevents companies from missing out valuable opportunities to
learn from and engage with its customers, is to simply disapprove CGA. Although having a
negative attitude toward CGA, the firm does not react but ignores consumers’ creativity. This
prevents a possible over-reaction and permits watching the consequences before entering into
debate. However, this may implicitly communicate to be indifferent or even powerless in face of
consumers taking over brand message control. Therefore, when deciding not to actively engage
with CGA, companies should rather show a positive attitude and applaud it. This leaves the door
open to actively engage with CGA at a later stage.
According to Berthon et al. (2008), the most advisable way to respond and manage CGA is by
facilitating it. This implies that the firm holds a positive attitude towards and actively engages
with CGA. It encourages and solicits it by co-opting ad-creation contests and by helping
consumers in the ad-production process through the provision of software and other helpful tools.
This hands-on approach is steadily gaining popularity. It is the strategy with the most compelling
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from fruitful interaction with its customers that yield insights and authentic, creative ideas in a
cost-effective way. Also, this will favor customers’ attitude towards the company. It makes the
firm look open to consumer creativity, but also helps to frame creativity. As the produced ads are
submitted to the company-contest website only, which is less public; created ads are not readily
available, and the company has control over the content that is distributed and broadcasted. In sum, “solicited, contest-based ads enable consumers to participate in the creative process while
giving firms greater control over the brand message” (Thompson & Malaviya, 2013, p.33).
However, control still is limited and the strategy is not free of risk, as results still can be negative
and parodic. This is exemplified by the case of Chevrolet, whose failed campaign had been a
competition that provided tools intended to frame message outcomes.
However, “[f]or many, the promise of deeper engagement on the part of the consumer has won out over concerns about the loss of brand control” (Lawrence et al., 2010, p.4). There is a popular
belief and strong anecdotal evidence, that CGAs performs more effective and beat out
professional ads, not only in terms of production value (Lawrence et al., 2010; 2013). The fact, that “they are consistently the most watched, the most memorable, and the
most-often-talked-about ads hints at the potential psychological advantages of this communications form”
(Lawrence et al., 2013, p.292). Therefore, research also investigated how CGA impacts viewers.
2.4. Meaning of CGA for viewers
While it has been shown that CGA, especially in its co-created form, in most cases is
advantageous to firms, it remains to clarify how CGA affects viewers not involved in the
ad-creation process. Since winner ads are subsequently broadcasted online and on television, and
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why CGA is beneficial with regard to viewers. In particular, it is of interest how viewers react to
the fact that an ad had been created by a fellow consumer.
The peripheral processing route of the Elaboration Likelihood Model (Petty & Cacioppo, 1986)
posits that cues and inferences drawn from a message affect attitude, evaluation, and
attitude-behavior. The message source is such a cue. Therefore, knowing that the message source is a
consumer should lead to a different response to CGA than to conventional advertising.
At the beginning of the second chapter, CGA has already been introduced as a special form of
user-generated content (UGC). UGC, in turn, is regarded as an electronic form of word-of-mouth
consumer-to-consumer communication (WOM/eWOM) (Etimur & Gilly, 2012). Therefore,
researchers and practitioners suggest that the differential effect of CGAs compared to
company-created ads mainly lies in the point that they may be perceived and operate as WOM
communication (Berthon et al., 2008; Etimur & Gilly, 2012; Lawrence et al., 2010).
2.4.1. Is CGA word-of-mouth communication?
Evidence from the WOM and UGC area reveals that consumers have higher trust in UGC than in
advertising (Nielsen Company, 2007). Also, it has been shown that consumers are more likely to
listen to and to be influenced by information coming from other consumers than that stemming
directly from marketers (Blickard & Schindler, 2001; eMarketer, 2007). This is due to messages
coming from a source that is similar to the self (a fellow consumer) being more relevant to the
receiver. Further, these messages are perceived diagnostic rather than manipulating. This
enhances credibility and persuasiveness (Blickard & Schindler, 2001). “Trustworthiness of the source is a key determinant of persuasiveness […] as source motivations and intentions play a
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trustworthiness of the ad source have been shown to influence viewers’ attitude towards the ad,
the brand, as well as purchase intentions (Goldsmith et al., 2000).
In further support of CGA, Etimur and Gilly (2012) gleaned information stemming from prior
research on the pitfalls of conventional advertising. As a main issue they point out, “that consumers, over time, develop knowledge about marketers’ persuasion tactics that help them
identify how, when, and why marketers are trying to influence them” (Etimur & Gilly, 2012,
p.117). They report on evidence revealing that consumers consequently are rather skeptical
towards and tend to distrust advertising. Therefore, they put the effectiveness of corporate
advertising efforts into question. As consumers know about company ads’ intent to persuade,
they perceive them as less authentic (Holt, 2002).
In conclusion, researchers’ and practitioners’ conviction of CGA as a valuable marketing tool
stems from the argument that CGAs, contrary to conventional ads, but similar to WOM
communication, may not be perceived as being commercially motivated in the first place. Rather,
due to the message source being an ordinary consumer, CGAs may be perceived as more
relevant, authentic, honest, sincere and credible than conventional ads and, as a result, should be
more effective (Berthon et al., 2008; Etimur & Gilly, 2012; Lawrence et al., 2010; Pehlivan et al.,
2011). In their study, Etimur and Gilly (2012) report that viewers acknowledge CGA creators’
refreshing view and their intrinsically motivated effort. Not having the intent to sell, being similar
to the self, and having product usage experience, the ad creator is perceived to make message
claims that are less extreme but valid and trustworthy.
Yet, counterarguments exist. In the case of unsolicited CGAs that pop up and spread online,
25
as its authority is suspect. Solicited CGAs are criticized even more sharply by them. Contrary to
the common belief and as shown in 2.3.2., consumer engagement in CGA contests is not always
free of economic motives. Indeed, participants often are professionals aiming to promote
themselves. Etimur and Gilly (2012) show that the creators of solicited CGAs are perceived least
credible, as they are suspected to have neither use nor product knowledge. Further, as companies
still are involved in and have control over message creation and dissemination, they suggest that
solicited CGAs may not be perceived as the real consumer voice and communication free of
company influence. Their results confirm that viewers “recognize the dual source of contest ads”
(Etimur & Gilly, 2012, p.122). They further argue that solicited CGAs may be perceived very
similar and not any differently than conventional ads. As outlined in 2.3.1., most
consumer-generated and co-created advertisements have a deceptively similar “look and feel” and also aim
to persuade viewers, just as professional ads do. They found that with solicited CGAs, consumers
engage in assessing the ads’ persuasion tactics and goals. They interpret the contest itself as
means for generating WOM, and evaluate the likelihood of the ad to achieve this. Further, while
viewers perceive CGAs as being consumer-to-consumer communications operating like WOM;
they also recognize CGAs as advertising, and therefore understand that their underlying intent is
to sell. With this same argument, also Thompson and Malaviya (2013) question the view of
CGAs as WOM. Due to these reasons, consumers might disregard CGAs just as they do
conventional ads (Etimur & Gilly, 2012).
In summary, as Etimur and Gilly (2012) conclude as well, CGA is to be seen neither as WOM
nor as traditional advertising. Therefore, research was interested in alternative explanations for
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2.4.2. Drivers of increased CGA effectiveness
In their study, Lawrence et al. (2013, p.293) investigated whether “CGAs have communication
advantages over traditional company-sourced ads, and why”. Analyzing comments for CGAs on
YouTube, they uncovered four possible drivers that might explain CGAs’ enhanced persuasiveness and effectiveness: “trustworthiness, identification with the ad creator, judgements
of executional quality, and viewer engagement” (Lawrence et al., 2013, p.293). According to
their study, the main factor that explains the performance advantage of CGAs is the fact that the
ad creator is a consumer, not a company.
By means of experiments Lawrence et al. showed that consumer ad-creators and their message
claims, and consequently CGA as such, are rated as more authentic and honest, and therefore
more trustworthy and credible compared to their, judged as manipulating, company-created
counterparts. As they report, this finding is in line with evidence from social psychology that
recognizes the central role of trustworthiness and source credibility as drivers of persuasion and
effective communication. Lawrence et al. further found that the effect of the consumer ad-creator
on perceived trustworthiness and credibility holds across creator motives - whether motivated
intrinsically or by self-promotion and profit. Even if solicited CGAs, which infer some company
involvement, are perceived as being more economically motivated than unsolicited CGAs, this had no effect on viewers’ trust in the ad, the creator, and the message claims. Also Hautz et al.
(2014) could find that source trustworthiness is perceived higher for CGAs, which therefore have
a stronger influence on behavioral intentions than firm-generated ads, but only when the ad is of
low technical quality. Source expertise is rated higher for CGAs independent of ad quality. These
results are only partially supported by the study of Etimur and Gilly (2012). Analyzing consumer
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viewers do see CGAs as being more authentic and credible than company ads - when asked
hypothetically. However, when actually evaluating CGAs, results were different. In this case,
respondents viewed unsolicited CGAs as being authentic, but unconvincing and less credible than
solicited CGAs or company-created ads. Solicited CGAs, however, were regarded as being less
authentic than unsolicited CGAs or company-created ads, as respondents doubt that the creator
has use knowledge comparable to the consumer, and product knowledge comparable to the
company. This difference between the two types of CGAs could not be supported by Lawrence et
al. (2010). Contrary to their supposition that unsolicited CGAs, due to being pure UGC and
distant from possible firm influence and control, might possess communication advantages over
solicited CGAs, they could not find systematic differences in viewers’ judgement of authenticity,
credibility and trustworthiness.
As a second driver of CGAs’ effectiveness over company ads, Lawrence et al. (2013) supposed viewers’ identification with the ad creator. However, contrary to this hypothesis and evidence
that people are more likely to be influenced and persuaded by people perceived as similar to
them, identification of the self with the ad creator and a feeling of personal connection did not
contribute to a more favorable reception of CGAs. Even if this is something traditional company-
or agency-created ads never can achieve, it does not explain CGAs’ communication advantages.
However, there was support for the suggested ability of CGAs to engage viewers more deeply,
and it has been shown that ad source had a significant effect on this. Viewer engagement exists
on several levels: cognitively6, emotionally7, personally8, and behaviorally9. Also, they could
6
commenting on the ad and its message claims 7
commenting on the ad’s entertainment value 8
commenting on the personal relevance of the brand or the ad 9
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empirically link engagement to ad performance, implying increased persuasion and effectiveness
of CGAs due to viewer engagement. Increased viewer engagement with CGAs has also been
detected by Etimur and Gilly (2012), who found that viewers, when commenting on company
ads, mainly refer to the advertised brand, whereas when commenting on CGAs, they rather
elaborate on the ad itself and act as ad critics. Therefore, CGAs fail to engage viewers more
deeply with the brand. This has also been found by Campbell et al. (2011). Pehlivan et al. (2011),
however, did not find such effects, as for both ad types comments primarily dealt with the
product while the ad itself was only of second importance.
Additionally, Lawrence et al. (2013) identified perceived ad and executional quality as
determinants for viewers’ more favorable reactions to CGAs. Even if a consumer-generated ad’s
quality actually is low, viewers judge it more favorably. This is explained by the fact that
viewers’ expectations in the quality of CGAs are lower, and that they judge and evaluate CGAs
based on different standards and criteria. Whereas viewers expect company ads to be of high
executional quality; they accept trade-offs on quality and focus on authenticity and artistic
originality when evaluating CGAs. Viewers even consciously agree on the statement that they
apply lower standards and are less critical towards CGAs. This is challenged by Thompson and
Malviya (2013), who found that consumers are actually more critical when evaluating CGAs.
The present paragraph shows, that the common belief of CGAs performing more effective versus
conventional company- or agency-crafted ads, cannot be supported or rejected per se. Whereas
Lawrence et al. (2013) support the belief, other studies point to contingency based results. To
name another point of view, Steyn et al. (2011) did not find any difference in consumer
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As explained by the theory of the Dual Mediation Hypothesis in paragraph 2.1.1., exposure to an
advertisement leads to the formation of attitudes towards the ad and subsequently towards the
brand. Therefore, research also was interested how these specific factors are affected differently
by CGA than by conventional advertising.
2.4.3. CGA’s effect on advertisement and brand evaluation
Two prior studies were identified that analyzed how viewers’ advertisement and brand evaluation
is affected by informing them that an ad had been co-created.
2.4.3.1. The study by Lawrence et al. (2010)
Lawrence et al. (2010) tested the assumption that consumer-generated ads, compared to
conventional ads, yield more favorable results in terms of attitude towards the ad and the brand.
In their experiment, they tested viewer evaluation in two conditions: the sample in the first
condition was told that they will see a co-created ad (solicited CGA), while the sample in the
second condition got no information. Indeed, the source disclosure condition rated the
consumer-generated ad higher on all tested elements: attitudes toward the ad, perceptions of executional
quality, personal relevance of the ad message, brand interest, and purchase intent. These results
suppose that consumer source disclosure positively impacts viewers’ advertisement and brand
evaluation, and that CGAs therefore outperform conventional ads. Lawrence et al. (2010, p.9)
conclude that consumer-generated ads are “inherently more persuasive”. Based on their results,
they claim that this is due to higher personal relevance of these ads. This largely generalized
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2.4.3.2. The study by Thompson and Malaviya (2013)
Thompson and Malaviya (2013, p.34) investigated “under what conditions informing viewers
that another consumer created an ad enhances, or perhaps undermines, message persuasiveness”.
They hypothesized that knowing that an ad had been co-created could enhance message
persuasiveness, as viewers perceive the co-creator as someone more similar to the self, with
whom they can identify, and who is therefore more trustworthy than a professional persuader. On
the other hand, they argue that knowing that an ad had been co-created could undermine message
persuasion, as viewers are skeptical about peer consumers being able to create and produce effective, professional advertising. They tested this “skepticism-identification” model by means
of experiments. Their results showed that under specific circumstances, both hypothesis hold.
In contrast to Lawrence et al. (2010), who found a positive impact of consumer source disclosure
on advertisement and brand evaluation versus a control group, the study by Thompson and
Malaviya (2013) found a negative impact, which could be explained by viewers’ skepticism, as
hypothesized.
However, they found that disclosing the consumer source yields more positive ad and brand
evaluations compared to the control group, that received no information on ad source, under the
following circumstances: first, when specific background information was provided that made the
co-creator easily identifiable with the self10; second, when viewers are loyal to the brand; and third, when viewers see the ad under high distraction conditions and therefore cannot deeply
process the information about the creator being an ordinary consumer.
10
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2.4.3.3. Discussion of the results found by Thompson and Malaviya (2013)
It is questionable, whether the previously mentioned circumstances that were identified to favor
persuasion, can be readily established in ordinary broadcasting situations. Above all, it is
challenging to communicate ad-creator background information that reliably triggers feelings of
identification with the entire target group. Also, the fact that brand loyalty is a necessary
condition for co-created ads to yield positive evaluations, does not speak for their effectivity,
since the aim of advertisements is to appeal new customers that are not yet loyal to the brand as
well. Finally, it is to criticize that the situation of high distraction in the experiment was created
from outside and not by the ad itself. Even if ads often are not processed deeply, ad-creators
cannot manipulate for that. With respect to these points, the results of the study by Thompson and
Malviya suppose that it is more likely that the communication of the ad-creator will yield
negative advertisement and brand evaluation.
Another critical fact is that Thompson and Malaviya did not use the same advertisements across
all their studies what puts the comparability of their results into question. The ads in the pilot
study yielded more negative evaluations when depicted as consumer-generated; the ads in the
following studies, where variables were manipulated11, yielded more positive results under consumer source disclosure, compared to the control group. It is, however, possible that results
would have been consistently negative or positive for the source disclosure condition across all
studies, if the researchers would have used the same ad. It can be supposed that the ad itself
moderated the effect of source disclosure on ad and brand evaluation. This is supported by
Miniard et al. (1990), who found that message manipulation can considerably influence both,
advertisement and brand evaluation.
11
provision of background information about the co-creator, ad of a brand that viewers are loyal to, constrained cognitive resources of viewers
32
RESEARCH
3. Research Gap and Research Question
The fact that the studies by Lawrence et al. (2010) and Thompson and Malaviya (2013) basically
measured the same effect, that is, the effect of consumer source disclosure on viewers’
advertisement and brand evaluation, but yielded opposing results, indicates that the issue
deserves further investigation. Whereas Lawrence et al. (2010) found a positive effect; Thompson
and Malaviya (2013) concluded that the effect is negative. Therefore, a replicative study that
could strengthen the one or the other position seems valuable. With respect to the discussion
provided on the study by Thompson and Malaviya (2013), see 2.4.4.1., the replicative study
should use two different advertisements.
Further, it is to mention that consumer source disclosure, in both studies, preceded exposure. The
samples received the information that the ad has been co-created prior to watching it. Thompson
and Malaviya (2013, p.46) claim that “the timing of viewers’ learning about the consumer source
(before or after ad exposure) deserves further investigation”. As an experiment by Lee et al.
(2006) shows, information disclosure prior to exposure can negatively influence evaluation,
compared to information disclosure following exposure, the latter yielding results nearly as
positive as when no information was given. Therefore, it is indeed interesting to test the effect of
the timing of consumer source disclosure on viewers’ advertisement and brand evaluation.
Given these insights, the research question of the present thesis reads as follows:
“How does the timing of consumer source disclosure of co-created advertisements affect viewers’ advertisement and brand evaluation?”
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4. Expected Contribution
The present study aims to contribute to the extant literature on co-created and consumer
generated advertising. In the first place, the study intends to strengthen either of the opposing
positions regarding the impact of consumer source disclosure of co-created advertisements on viewers’ advertisement and brand evaluation. Second, it aims to close the research gap identified
by Thompson and Malaviya (2013) by investigating the effect of the timing of consumer source
disclosure (prior versus post ad exposure) on viewers’ evaluation of the ad and the brand. Also,
this will complement the study by Lee et al. (2006), who analyzed the effect of information
disclosure prior versus post an experience versus the absence of information disclosure on the
evaluation of the experience. Third, the study is expected to give exemplify to which extent
different ad messages influence overall ad and brand evaluation. Also, it investigates whether
prior ad and brand knowledge have an impact. As a side effect, the design of the present study is
likely to add insight and support to the large body of research studying the effect of
advertisement on brand evaluation, that is, the Dual-Mediation Hypothesis and its variations.
From a managerial perspective, the study is another attempt to validate whether and how the
application of co-created advertising impacts viewers’ ad and brand evaluation. Above all, to the
best of my knowledge this it is the first study that investigates whether and how the timing of
consumer source disclosure of co-created advertisements impacts viewers’ ad and brand
evaluation. Thereby, it addresses the research claim made by Thompson and Malaviya (2013) and
adds to their research effort by investigating how the effectiveness of co-created advertisements
could be improved. Next, it aims to demonstrate how differing ad messages lead to different ad
and brand evaluations. In sum, this will give insight for a better management of co-created,
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5. Conceptual Framework and Hypotheses
The differential effect consumer source disclosure prior versus post ad exposure is expected to have on ad and brand evaluation is based on the psychological phenomenon that “[t]he quality of
an experience is jointly determined by bottom-up processes, which reflect characteristics of the stimulus impinging on the perceiver’s sensory organs, and top-down processes, which reflect the
perceiver’s beliefs, desires, and expectations” (Lee et al., 2006, p.1054). Translating this to the
present research question, this implies that viewers’ ad and brand evaluation is determined by
both, the ad itself as well as by what viewers belief, desire and expect from the ad.
This is comprehensible, as evaluation, generally speaking, bases on comparison - the comparison
of an actual value with a predetermined intended value. The intended value thereby serves as
point of reference that enables to draw a conclusion about whether the actual value is higher or
lower, better or worse. Often, however, values in question for evaluation are not quantifiable and
objectively measurable, such as for example the quality of an experience, an ad or a brand.
Therefore, unquantifiable, qualitative concepts are evaluated by comparing what actually
occurred to what was expected to occur. More precisely, “[p]erceived […] quality is […] viewed as the degree and direction of discrepancy between consumers' perceptions and expectations”
(Parasuraman et al., 1988, p.17). This means that consumers evaluate quality by comparing their
expectations to the actual experience in valence and in intensity, and thereby are able to conclude
whether something is of very good/bad, or just of fairly good/bad quality (very much
better/worse or only slightly better/worse than what was expected).
As Lee et al. (2006) report, there is a large body of research and numerous diverse examples
35
experience itself (bottom-up process), but are also strongly influenced by information received
and expectations formed prior to this experience (top-down process). In this sense, research
showed that expectations influence cognitive perception as, for example, “assessments of a person’s ability are influenced by expectations of his or her ability, as well as by objective
performance measures”, “the enjoyment of a film is influenced by expectations of its quality, as
well as by its true quality”; and that expectations even influence sensory perception as, for
example “bitter coffee seems less so if consumers are repeatedly misinformed that it is not
bitter”, “Coke is rated higher when consumed from a cup bearing the brand logo rather than from
an unmarked cup” (Lee et al., 2006, p.1054).
However, the role expectations play in evaluation processes is more important than serving as
mere point of reference. According to Darley and Gross (1983), individuals do not only test the
expectations they hold about an upcoming experience during the experience, but also aim to have
their expectations confirmed. This means that instead of evaluating an experience unbiasedly,
they look for cues that can confirm their expectations and “recall expectancy-consistent information when making final evaluations” (Darley & Gross, 1983, p.22). Further, as Ross and
Lepper (1980) showed, this is even the case when information is presented that is inconsistent
with expectations, due to inconsistent information being given a substantially lower weight in
evaluation. Consequently, perceptions and evaluations are biased in favor of expectations.
An additional phenomenon is outlined by the above mentioned example that “Coke is rated
higher when consumed from a cup bearing the brand logo rather than from an unmarked cup”,
(Lee et al., 2006, p.1054). According to the findings by McClure et al. (2004), additional
information about an experience (logo on the cup) leads to different perceptions and evaluations