Personality fit in NASCAR: an evaluation of driver-sponsor congruence and its impact on sponsorship effectiveness outcomes.
Dees, Windy ; Bennett, Gregg ; Ferreira, Mauricio 等
Introduction
Marketing managers link their brands with a sporting event in which
consumers are passionate and loyal (Gwinner & Swanson, 2003;
Madrigal, 2001) to accomplish two primary objectives which are: (1) to
increase brand awareness and (2) to transform or enhance brand image
(Gwinner & Eaton, 1999). "Fostering a favorable image for a
brand is frequently an important corporate objective and sponsorship
helps define a brand personality through its inferred association with
the sport property" (Brown, 2002, p. 188). This research study will
focus on the second corporate objective mentioned previously which is
brand image enhancement. One of the concepts closely related to brand
image enhancement that has been explored by marketing researchers is the
concept of brand personality (Aaker, 1997; Chatman & Barsade, 1995;
Ekinci & Hosany, 2006; Plummer 1985).
According to marketing literature, a major factor in consumer brand
choice is the perceived brand personality of the product or service
offering (Aaker, 1997; Plummer, 1985). Consumers often purchase brands
on the sole basis of the perceived brand personality of the product as
compared to that product's competitors (Wysong, Munch, &
Kleiser, 2002). Therefore, brands with well-established and favorable
brand personalities may possess advantages in the marketplace, because
consumers have elicited positive attitudes and purchase intentions
toward these brands (Aaker, 1999; Wysong et al., 2002). Another factor
affecting brand choice is celebrity endorsement. Having a celebrity,
such as a famous athlete, endorse the brand often persuades consumers to
purchase the product or service. However, the success of the endorsement
may depend on the pairing of the person and the product (Martin, 1996).
Previous research on celebrity endorsement has suggested that
consumers like brands and are more persuaded to purchase them if the
celebrity endorser is a good "fit" (Martin, 1996). Therefore,
brands with strong, established personalities may or may not benefit
from celebrity endorsement, depending on whether the endorser's
personality is a good fit with the brand. In the context of National
Association of Stock Car Auto Racing (NASCAR), where virtually all fans
choose their favorite driver based on his personality (Amato, Peters,
& Shao, 2005), and the driver's major sponsor is likely to be a
highly recognized brand with its own ingrained personality, it is
important to investigate the congruence or match-up effects between the
two in order to determine whether personality fit influences
consumers' response to NASCAR sponsorships.
[FIGURE 1 OMITTED]
The concept of fit, or relatedness, between a sponsor's brand
and a sponsored event or celebrity has been researched quite extensively
in the marketing (McDaniel, 1999; Roy & Cornwell, 2004; Smith, 2004)
and advertising fields (Costanzo & Goodnight, 2005; Gwinner &
Eaton, 1999; Kammins, 1990). While Amis, Pant, and Slack (1997) examined
the "fit" between corporations and their sponsored properties,
no known sport sponsorship studies have looked at the relationship
between individual athletes and their major corporate sponsors to
determine what constitutes good fit and whether or not this fit
influences the effectiveness of the sponsorship pairings (Koo,
Quarterman, & Flynn, 2006). Therefore, the purpose of this study was
to determine if personality fit between NASCAR drivers and their major
sponsors affects the sponsorship outcomes of consumer attitudes toward
the sponsor, attitudes toward the brand, and purchase intentions during
a NASCAR event. Moreover, fan identification and product involvement
were examined as moderators between personality fit and the three
sponsorship outcomes. The significance of these two variables as
moderators is explained in further detail in the review of literature.
Literature Review
NASCAR
Previous research on NASCAR fans has determined that
"virtually all fans chose a favorite driver based on his
personality" (Amato, Peters, & Shao, 2005, p. 71). The sport of
NASCAR is full of colorful driver personalities and established
brand-name sponsors. These athletes are celebrity endorsers and
represent the products or brands which sponsor their race cars and
racing teams. They are branded with the logo of their major sponsor on
their cars, uniforms, helmets, and even in their racing pits. NASCAR
drivers also come to be known by the major sponsor of their cars. For
instance, during the telecast of a NASCAR event, announcers will refer
to the "DuPont car" or the "Home Depot car" instead
of Jeff Gordon and Joey Logano, respectively. These drivers and brands
become inextricably linked through sponsorship, and consumers recognize
the connection between the two. It is one of the most apparent linkages
between an athlete endorser and a product, since the driver and brand
are constantly referenced together during the actual competition. In
essence, NASCAR drivers could be considered brands themselves. Thus,
corporate sponsorship of NASCAR drivers has become a marketing strategy
of firms trying to differentiate their brands and influence brand choice
(Amato et al., 2005).
Theoretical Framework
Previous research examining celebrity endorsement as well as event
sponsorship has been theoretically based on the match-up hypothesis
(Gwinner, 1997; Gwinner & Eaton, 1999; Kahle & Homer, 1985;
McCracken, 1989; McDaniel, 1999). The match-up hypothesis is similar to
congruence theory, which proposes that individuals can more easily
process, store, and retrieve information if it is related or similar to
previous information or experiences (Cornwell, Weeks, & Roy, 2005).
The match-up hypothesis suggests that consumers' response to
advertising, or in this case sponsorship, will be impacted by the
similarity between the endorser's (NASCAR driver) personality and
the brand's personality (McDaniel, 1999). According to this theory,
the more commonalities between the two, the more likely consumers will
remember and relate the endorser and brand, and respond in a favorable
manner. Less congruent endorsers and brands may be less memorable and,
therefore, elicit weaker responses from consumers exposed to the match
(Cornwell et al., 2005; McDaniel, 1999). It is hypothesized in this
study that a stronger congruence, or fit, between driver and brand
personality would increase sponsorship effectiveness.
Fit
The term "fit" has been used throughout much of the
sponsorship literature referring to the relatedness, similarity,
relevance, or congruence of event-sponsor relationships or celebrity
endorser-brand relationships (Becker-Olsen & Hill; 2006; Gwinner,
1997; McDonald, 1991; Poon & Prendergast; 2006; Rifon, Choi,
Trimble, & Li, 2004; Roy & Cornwell, 2004). Fit is defined as
the "synergy between what the company does in its business and the
detail of the sponsorship" (McDonald, 1991, p. 36). Overall fit can
be measured in a multitude of ways (Smith, 2004). According to Smith
(2004), companies who choose to sponsor an event may consider their
degree of fit among six different types of association: (1) Product
attribute, (2) User imagery, (3) Brand personality, (4) Functional
benefits, (5) Experiential benefits, and (6) Symbolic benefits. While
levels of overall fit between sponsor and event have been explored to
some degree in the realm of sport using several of these types of
associations (Gwinner & Eaton, 1999; Koo et al., 2006; McDaniel,
1999), the aspect of a sponsor's brand personality and how its fit
with an event influences sponsorship effectiveness has not been
examined. Previous research has indicated that sponsors who support a
cause that fits well with their firm could generate positive attitudes
toward the sponsor (Rifon et al., 2004) as well as influence
consumers' cognitive and conative responses to sponsorship (Poon
& Prendergast, 2006).
Brand Personality
Brand personality is a construct derived from the study of human
interaction and examines how people attach meanings to brands. It is
defined as "the human characteristics of a brand" (Aaker &
Fournier, 1995, p. 393-394). A brand often develops its own individual
personality, and the characteristics or attributes associated with it
help differentiate the brand from competitors. An empirical study
conducted by Aaker (1997) examining brand personality revealed that
brands are often described using the same Big Five dimensions of
personality that are used to describe people. The Big Five dimensions of
brand personality are Sincerity, Excitement, Competence, Sophistication,
and Ruggedness (Wysong et al., 2002).
Brand personality has been an accepted and extensive topic of study
among advertising and marketing researchers for decades (Gardner &
Levy, 1955; Landon, 1974; Aaker, 1997; Ekinci & Hosany, 2006).
Historically, the construct of brand personality has been used to
examine peoples' perceptions of consumer goods (Aaker, 1997). More
recently, however, brand personality has been used to explore whether or
not consumers ascribe personality characteristics to service industries
such as tourist destinations and how brand personality affects their
behaviors (Ekinci & Hosany, 2006). "Brand personality is
important because consumers may choose one brand over another based
solely on its personality" (Wysong, Munch, & Kleiser, 2002, p.
512). Brand personality also has a strong impact on consumers'
attitudes and behaviors, including their brand attitudes and brand
loyalty (Aaker, 1999). Therefore, the first three research questions
developed to guide this study are as follows:
RQ1: Will personality fit be positively related to attitude toward
the sponsor?
RQ2: Will personality fit be positively related to attitude toward
the brand?
RQ3: Will personality fit be positively related to purchase
intentions?
A review of the relevant literature pertaining to the constructs of
attitude toward the sponsor, attitude toward the brand, and purchase
intentions will now be examined.
Attitude Toward the Sponsor
An attitude toward an advertiser is an individual's favorable
or unfavorable evaluation of a particular organization, such as an event
sponsor. Attitude toward the sponsor has been examined in previous
research with respect to event-sponsor fit. Roy and Cornwell (2003), for
example, hypothesized that attitude toward the sponsor would be
positively related to event-sponsor congruence. They found that
participants who perceived higher levels of congruence between event and
sponsor also held more positive attitudes of the sponsors. Conversely,
participants who scored the events and sponsors low on congruence, held
more negative views of the sponsors. The authors encouraged event
managers and sponsors to be strategic in forming long-term sponsorship
arrangements, as being well-paired based on organizational goals and
image could be critical to sponsorship success (Roy & Cornwell,
2003).
Attitude Toward the Brand
Attitude toward the brand, or brand attitude, represents the
consumer's overall evaluation of the brand, and these attitudes are
often precursors to behavioral response. (Keller, 1993; Wilkie, 1986).
According to Keller's (1993) dimensions of brand knowledge, brand
attitudes are a type of brand association that builds overall brand
image. Consumers form attitudes toward different brands based on what
the brands have to offer, such as their personality (Aaker, 1997).
Brands provide various attributes and benefits, and consumers judge the
attributes and benefits before developing attitudes regarding the
overall brand (Keller, 1993). These attitudes strongly influence their
future behavior such as purchase intentions and actual purchases (Eagly
& Chaiken, 1993; Madrigal, 2001; Spears & Singh, 2004).
Purchase Intentions
According to Spears and Singh (2004, p. 56), "Purchase
intentions are an individual's conscious plan to make an effort to
purchase a brand." Purchase intentions indicate the level of
motivation that an individual has to complete a purchase behavior. The
greater the level of motivation, the more likely the person will
actually make a purchase. Fishbein and Ajzen (1975) suggest that
purchase intentions are the link between attitudes and behavior.
Consumers must have an intention to purchase a product or service before
the action takes place; therefore, purchase intentions are an antecedent to actual purchase behaviors.
Current research exploring the link between attitudes and purchase
intentions has demonstrated that there is a strong relationship between
the two. Zhang, Won, and Pastore (2005) found that positive attitudes
toward commercialization of intercollegiate athletics led to greater
purchase intentions of corporate sponsors' brands. A more recent
study conducted by Koo, Quarterman, and Flynn (2006) revealed that
higher levels of attitude toward the brand among Bowl Championship
Series (BCS) Championship viewers also led to greater purchase
intentions toward corporate sponsors' products. Consumers with
lower brand attitude levels were less likely to consider purchasing from
event sponsors. These studies support the notion of Spears and Singh
(2004) that purchase intentions represent a "favorable intent"
to actually purchase products and services from companies.
Fan Identification
Social identity theory is often used to explain fan behavior in
terms of how fans interact with one another in settings where they are
supporting their favorite teams and players (Madrigal, 2001; Gwinner
& Swanson, 2003). Social identity theory suggests that individuals
join groups based on the need to fulfill a certain personal identity,
and that being a member of certain groups can provide such an identity.
For example, Gwinner and Swanson (2003) state that the prestige of
certain organizations may attract group membership because individuals
want to appear more prominent or influential. Madrigal (2001) found that
fan identification with a university moderated the relationship between
attitudes toward corporate sponsors and purchase intentions. When fans
rated their attitudes toward corporate sponsors low on the survey scale,
those who also rated themselves as highly identified with the university
were more likely to purchase from the sponsors than fans who rated
themselves low in identification with the university. Highly identified
fans seem to desire group affiliation even when their attitudes are
negative towards sponsorship in general. Therefore, the fourth research
question in this study is the following:
RQ4: Will fan identification moderate the relationship between
personality fit and (a) attitude toward the sponsor, (b) attitude toward
the brand, and (c) purchase intentions?
Product Involvement
Product involvement refers to "how connected or engaged a
product class is to an individual's values" (Traylor, 1981, p.
51). Product involvement is an important aspect of marketing because it
can influence how people respond to products and services (Kokkinaki,
1999). If consumers are exposed to marketing communication that is
intended to influence their attitudes and behaviors regarding the
product being marketed, the level of involvement the consumer has with
the product becomes critical. Studies have shown that product
involvement has a moderating effect in these situations (Nkwocha et al.,
2005; Kokkinaki, 1999). One study found that product involvement
moderated the relationship between product fit and attitude toward brand
extensions. In this study (Nkwocha et al., 2005), complementarity was
found to be significant in the evaluation of low-involvement brand
extensions and insignificant in the evaluation of high-involvement brand
extensions. Another study (Kokkinaki, 1999) revealed that product
involvement moderated the relationship between attitudes and usage
intentions as well as the relationship between past behavior and actual
usage behavior. Therefore, the final research question in this study is
the following:
RQ5: Will product involvement moderate the relationship between
personality fit and (a) attitude toward the sponsor, (b) attitude toward
the brand, and (c) purchase intentions?
Methods
Data for this exploratory study were collected through
paper-and-pencil surveys at a NEXTEL Cup event, the NASCAR Samsung 500
at Texas Motor Speedway, in Fort Worth, Texas. There were several
hundred surveys distributed to willing participants prior to the start
of the race.
Permission was granted by the public relations department of Texas
Motor Speedway to approach participants as they entered the main gate of
the NASCAR Fan Zone area just outside the grandstand of Texas Motor
Speedway. As they came through the main entrance, fans were asked if
they would be willing to participate in a study regarding the
sponsorship of NASCAR drivers. Only participants 18 and older who were
attending the speedway were eligible to participate in the study. Four
hours prior to the start of the race, data collectors began sampling
respondents. Data collectors were trained, volunteer undergraduate and
graduate majors in sport management. They were instructed to obtain a
random sample by approaching every fourth person and asking him or her
to participate in the study and provide willing participants with a
survey and informed consent card. This process was repeated until one
hour before race time and spectator flow into the venue increased. Data
collectors were then instructed to solicit responses from every tenth
person. Each participant who was selected, and agreed to take part,
completed a 5-7 minute survey.
Operationalizing of the Constructs
Some of the measures of the constructs were adapted from previous
studies through an extensive literature review involving all the
constructs. The items used to measure driver and brand personality were
modified from Aaker's (1997) study of the dimensions of brand
personality, which utilized the same Big Five dimensions of personality
in the psychology literature that are used to describe human
personalities. The items were measured individually using a seven-point
Likert-scale ranging from 1 (Not accurate) to 7 (Very accurate).
The product involvement items were from Mittal's (1989) study
of consumer involvement. The items were measured using a seven-point
Likert-scale ranging from 1 (Strongly disagree) to 7 (Strongly agree).
Fan identification was measured using Madrigal's (2001) items from
his beliefs-attitudes-intentions hierarchy study. The items were
measured using a seven-point Likert-scale ranging from 1 (Strongly
disagree) to 7 (Strongly agree). The items measuring attitude toward the
sponsor, attitude toward the brand, and purchase intentions were
constructed from the Lafferty el al. (2002) study of corporate and
endorser credibility. Attitude toward the sponsor and attitude toward
the brand were measured using a seven-point Likert-scale ranging from 1
(Bad) to 7 (Good), 1 (Unfavorable) to 7 (Favorable), and 1 (Unpleasant)
to 7 (Pleasant). Purchase intentions were measured using a seven-point
Likert-scale ranging from 1 (Unlikely) to 7 (Likely), 1 (Improbable) to
7 (Probable), and 1 (Impossible) to 7 (Possible).
Sample Profile
In all, 385 questionnaires were collected--a number that exceeds
the requirements for a finite population of 191,000 spectators (the
total number of spectators in attendance at the event) (Krejcie &
Morgan, 1970). Due to incomplete responses, 38 of the questionnaires had
to be discarded, bringing the final sample to 347.
The demographic variables analyzed in this study were gender, age,
ethnicity, marital status, education level, and household income. The
socio-demographic composition of this sample was similar to that of
Spann's (2002) study of NASCAR culture. Some of the percentages do
not equal 100 due to rounding and/or missing responses. There were more
males (58%) than females (38%), and the overwhelming majority (82%) of
respondents were Caucasian. The age brackets and their corresponding
percentages were: 18-24 (11%), 25-34 (26%), 35-44 (34%), 45-54 (18%),
and 55 and older (8%). Over 62% of the sample was married and 23% were
single. Thirty-one percent of respondents were high school graduates and
46% had some college or were college graduates. Sixty-seven percent of
the sample had household incomes over $40,000 with 24% reporting incomes
over $85,000.
Development of Measures
The initial question of the survey asked respondents to identify
their favorite NASCAR driver and his major sponsor (name on the hood of
the racecar), then answer the remainder of the survey based on that
pairing. In order to determine the level of personality fit between
NASCAR driver and major sponsor, an index was created. This was done by
subtracting the sponsor personality scores from the driver personality
scores and recording the differences for each of the 15 personality
items. For example, if a respondent scored the driver's personality
a "7" on the wholesome item and the sponsor's personality
a "5" for the same item, then the overall fit score for
wholesome would be a "2". Since there could also be negative
fit scores due to the sponsor's personality being rated higher than
the driver's, absolute values of the personality fit scores were
taken. The personality fit index ranged from 0 (perfect fit--no
discrepancy between driver and sponsor personality) to 6 (no
fit--complete discrepancy between driver and sponsor personality).
Therefore, low numbers on the fit index indicate good fit, and high
numbers on the fit index indicate poor fit.
Due to the exploratory nature of this study, the items measuring
the five dimensions of the brand personality construct were factor
analyzed using the principal components technique with direct oblimin
rotation to identify underlying relationships or factors. This factor
analysis technique was used as it is consistent with Aaker's (1997)
process and other exploratory studies which have investigated the brand
personality construct (Ekinci & Hosany, 2006). The use of factor
analysis in this study ensures that the items used create unidimensional
measures of the brand personality dimensions of interest (Aaker, 1997).
Component analysis is often used when the primary objective is to
identify the minimum number of factors in an instrument that account for
the maximum portion of the variance in an original data set (Hair et
al., 1995; Morton & Friedman, 2002). The results of the factor
analysis suggested that three dimensions of brand personality were
present rather than five (Aaker, 1997). The first factor accounted for
59.37% of the variance. The items that loaded in factor one were
regarded as the unidimensional construct of Excitement/Ruggedness
(Dimension 1). The items that loaded in factor two were considered to be
the unidimensional construct of Competence/Sophistication (Dimension 2)
and accounted for 6.80% of the variance. Factor three included the
unidimensional construct of Sincerity (Dimension 3) and explained 6.53%
of the variance. One item, "Imaginative," was deleted from the
study, as it loaded on factor one and factor two. Reliability measures
were calculated for each of the three dimensions of personality fit.
Coefficient alpha reliability tests run for each construct satisfied
Nunally's (1978) criterion of .60 or higher as a standard for an
exploratory research study.
Results
There were five research questions proposed in this study. These
questions guided the exploration of personality fit and its impact on
consumers' responses to NASCAR sponsorship.
Research question 1, which predicted a positive relationship
between personality fit and attitude toward the sponsor, was tested
through bivariate correlations. As seen in Table 3, each of the three
personality dimensions was significantly correlated with the dependent
variable, attitude toward the sponsor: Dimension 1 (r = -.432, p =
.000), Dimension 2 (r = .350, p = .000), and Dimension 3 (r = -.378, p =
.000). The negative correlations are due to the scoring of the
personality fit index. The personality fit index ranged from 0 (perfect
fit--no discrepancy between driver and sponsor personality) to 6 (no
fit--complete discrepancy between driver and sponsor personality).
Therefore, low numbers on the fit index for each of the three dimensions
indicated good fit and resulted in higher attitude toward the sponsor
scores; thus, the correlations have a negative sign. The same can be
seen for the correlations in research questions two and three.
Research question 2, which predicted a positive relationship
between personality fit and attitude toward the brand, was tested
through bivariate correlations. Each of the three personality dimensions
was significantly correlated with the dependent variable, attitude
toward the brand: Dimension 1 (r = -.394, p = .000), Dimension 2 (r =
-.343, p = .000), and Dimension 3 (r = -.399, p = .000).
Research question 3, which predicted a positive relationship
between personality fit and purchase intentions, was also tested through
bivariate correlations. Each of the three personality dimensions was
significantly correlated with the dependent variable, purchase
intentions: Dimension 1 (r = -.365, p = .000), Dimension 2 (r = -.310, p
= .000), and Dimension 3 (r = -.303, p = .000).
Research questions 4 and 5 were tested through hierarchical
moderated regression following Cohen, Cohen, West, and Aiken's
(2003) guidelines. Specifically, all variables were first centered to
the mean (to reduce the threat of multicollinearity). Dimension 1
(Excitement/Ruggedness), Dimension 2 (Competence/Sophistication), and
Dimension 3 (Sincerity), fan identification, and product involvement
were entered first followed by the interaction terms. For attitude
toward the sponsor, fan identification ([beta] =.226, p=.000) and
product involvement ([beta] =.400, p=.000) both had significant direct
effects on the dependent variable. There was also a significant
Dimension 3 x fan identification interaction (P =.160, p=.000). For
attitude toward the brand, fan identification ([beta] =.311, p=.000) and
product involvement ([beta] =.224, p=.000) again had significant direct
effects on the dependent variable. However, there were no significant
interaction effects for attitude toward the brand. For the dependent
variable, purchase intentions, only product involvement ([beta] =.530,
p=.000) had a significant direct effect. There were no significant
interaction effects for purchase intentions.
Discussion
Research question 1 assessed whether personality fit would be
positively related to attitude toward the sponsor. According to the
bivariate correlations, there was a positive relationship between the
personality fit of NASCAR drivers and their major sponsors and
consumers' attitude toward the sponsor. When there was a higher
degree of personality fit between the driver and sponsor, respondents
also demonstrated more positive attitudes toward the sponsor.
This outcome is consistent with previous literature on fit (Roy
& Cornwell, 2003), which suggests that high levels of fit produce
positive affective and behavioral responses, while low fit "makes
people less certain of a firm's positioning" (Becker-Olsen
& Simmons, 2002, p. 287). Additionally, our results support
Martin's (1996) findings that athlete endorsers and products that
fit well often lead to valuable advertising results such as positive
consumer attitudes toward the firm.
Research question 2 assessed whether personality fit would be
positively related to attitude toward the brand. According to the
correlation analysis, there was a positive relationship between the
personality fit of NASCAR drivers and their major sponsors and
consumers' attitude toward the brand. When there was a higher
degree of personality fit between the driver and sponsor, respondents
also demonstrated more positive attitudes toward the brand. This finding
corroborates previous research that indicates that better fit between
events and sponsors or celebrity endorsers and products leads to more
positive consumer brand attitudes (Koo et al., 2006; Speed &
Thompson, 2000).
This finding is critical since parent companies sponsoring NASCAR
(e.g., Mars) often have multiple brands advertised within the sport
(e.g., M&M's, Snickers), but promote each brand separately by
placing it on the hood of a different racecar and linking it to an
individual NASCAR driver through sponsorship (Kyle Busch #18, Ricky Rudd #88). Another prime example would be Anheuser-Busch, which has more than
60 varieties of alcoholic beverages, but that use the firm's
flagship beer, Budweiser, as the major sponsor of Kasey Kahne and the #9
car. Companies that pair their brands effectively with a congruent
NASCAR personality may be able to simultaneously differentiate and
promote their brands within the same sporting event and to the same
target audience.
Research question 3 assessed whether personality fit would be
positively related to purchase intentions. According to the
correlations, there was a positive relationship between the personality
fit of NASCAR drivers and their major sponsors and consumers'
purchase intentions. When there was a higher degree of personality fit
between the driver and sponsor, respondents demonstrated greater
intentions to purchase products and services from the sponsors of the
NASCAR drivers.
Once again, the results extend contemporary research on fit by
supporting the fact that better personality fit between athlete endorser
and sponsor may improve sponsorship outcomes, such as purchase
intentions. In particular, these results support the ideas of Poon and
Prendergast (2006), who suggest that fit not only influences
consumers' cognitive and affective responses to sponsorship, but
their conative processes as well. This result is compelling because it
indicates that personality fit, as a sponsorship effectiveness
antecedent, would be an important factor for event and marketing
managers to consider when selecting sponsorship arrangements that are
most congruent and have the strongest financial potential.
Research questions 4 and 5 assessed whether fan identification and
product involvement would moderate the relationship between personality
fit and (a) attitude toward the sponsor, (b) attitude toward the brand,
and (c) purchase intentions. The results of this study demonstrated that
fan identification and product involvement were significant indicators
of NASCAR consumers' attitude toward the sponsor and attitude
toward the brand. Product involvement was also a significant indicator
of NASCAR consumers' purchase intentions, but did not have any
moderating effects on the relationship between personality fit and any
of the dependent variables. Fan identification did moderate the
relationship between personality fit on Dimension 3 (Sincerity) and
attitude toward the sponsor. While these results do not provide
sufficient evidence to support moderation, the results are important
nonetheless. These results confirm that highly identified fans possess
strong positive emotions toward the sponsors of their favorite sporting
events and athletes as well as the endorsers' advertised brands.
Additionally, the more relevant and important the brand is to the
consumer, the more likely they are to purchase that brand. NASCAR fans
in this study that selected a favorite driver who was endorsing a
product highly relevant to them, were much more likely to purchase the
brand than fans who supported drivers with non-relevant brands.
Limitations of the Study
While this research makes theoretical contributions to the sport
sponsorship literature as well as the analysis of the brand personality
construct, it is essential to consider the limitations of the study.
Conducting future research that addresses these limitations may further
strengthen the sport marketing and sponsorship literature.
The first limitation of the study is that it was conducted using a
convenience sample. Although respondents were selected using random
sampling techniques, their voluntary participation was required and,
therefore, the sample may not be completely representative of the NASCAR
population. Additionally, the sample consisted of 347 responses and a
larger sample may have been more representative and provided more
generalizable results.
Another limitation of the study is that the findings may only be
representative of a specific group (NASCAR fans). Since the study asked
respondents to identify their favorite NASCAR driver and his major
sponsor, then answer the questionnaire based on that pairing, the
results provide insight into the attitudes and intentions of NASCAR
fans, but not the necessarily the fans of other individual sports.
Furthermore, the sample in this NASCAR study was predominantly
Caucasian (82%). When the demographics of a sample are skewed in one or
more categories, it may be difficult to relate the findings to another
sample with a different demographic composition. Although it is not
uncommon for the sport of NASCAR to have a large Caucasian audience, it
does make generalizing the results of sponsorship effectiveness research
to another sport unrealistic. For instance, consumers' perceptions
of personality fit between NASCAR drivers and sponsors may be an
important facet of sponsorship effectiveness in stock car racing, but it
may not be as critical in other professional genres such as action
sports for athlete-sponsor personalities to be congruent. Future
research on personality fit and its effects on sponsorship in other
professional sports are warranted.
References
Aaker, J. (1997). Dimensions of brand personality. Journal of
Marketing Research, 34, 347-356.
Aaker, J. (1999). The malleable self: The role of self-expression
in persuasion. Journal of Marketing Research, 36, 45-57.
Aaker, J., & Fournier, S. (1995). A brand as a character, a
partner, and a person: Three perspectives on the question of brand
personality. Advances in Consumer Research, 22, 391-395.
Amato, C. H., Peters, C. L. O., & Shao, A. T. (2005). An
exploratory investigation into NASCAR fan culture. Sport Marketing
Quarterly, 14, 71-83.
Amis, J., Pant, N., & Slack, T. (1997). Achieving a sustainable
competitive advantage: A resource-based view of sport sponsorship.
Journal of Sport Management, 11, 80-96.
Becker-Olsen, K. L., & Hill, R. P. (2006). The impact of
sponsor fit on brand equity: The case of nonprofit service providers.
Journal of Service Research, 9(1), 73-83.
Becker-Olsen, K. L., & Simmons, C. J. (2002). When do social
sponsorships enhance or dilute equity? Fit, message source, and the
persistence of effects. Advances in Consumer Research, 29, 287-289.
Brown, G. (2002). Taking the pulse of Olympic sponsorship. Event
Management, 7, 187-196.
Chatman, J. A., & Barsade, S. G. (1995). Personality,
organizational culture, and cooperation: Evidence from a business
simulation. Administrative Science Quarterly, 40, 423-443.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003).
Applied multiple regression/correlation analysis for the behavioral
sciences (3rd ed.). Mahwah, NJ: Lawrence-Erlbaum.
Cornwell, T. B., Weeks, C. S., & Roy, D. P. (2005).
Sponsorship-linked marketing: Opening the black box. Journal of
Advertising, 34(2), 21-42.
Costanzo, P. J., & Goodnight, J. E. (2005). Celebrity
endorsements: Matching celebrity and endorsed brand in magazine
advertisements. Journal of Promotion Management, 11(4), 49-62.
Eagly, A. H., & Chaiken, S. (1993). The psychology of
attitudes. New York: Harcourt Brace College Publishers.
Ekinci, Y., & Hosany, S. (2006). Destination personality: An
application of brand personality to tourism destinations. Journal of
Travel Research, 45, 127-139.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention,
and behavior: An introduction to theory and research. Reading, MA:
Addison-Wesley Publishing Company.
Gardner, B. B., & Levy, S. J. (1955). The product and the
brand. Harvard Business Review, 33, 33-39.
Gwinner, K. (1997). A model of image creation and image transfer in
event sponsorship. International Marketing Review, 14(3), 145-158.
Gwinner, K., & Eaton, J. (1999). Building brand image through
event sponsorship: The role of image transfer. Journal of Advertising,
28(4), 47-57.
Gwinner, K., & Swanson, S. (2003). A model of fan
identification: Antecedents and sponsorship outcomes. Journal of
Services Marketing, 17(3), 275-294.
Kahle, L. R., & Homer, P. M. (1985). Physical attractiveness of
the celebrity endorser: A social adaptation perspective. Journal of
Consumer Research, 11(4), 954-961.
Kammins, M. A. (1990). An investigation into the
"match-up" hypothesis in celebrity advertising: When beauty
may be only skin deep. Journal of Advertising, 19(1), 4-13.
Keller, K. L. (1993). Conceptualizing, measuring, and managing
customer-based brand equity. Journal of Marketing, 57, 1-22.
Kokkinaki, F. (1999). Predicting product purchase and usage: The
role of perceived control, past behavior, and product involvement.
Advances in Consumer Research, 26, 576-583.
Koo, G., Quarterman, J., & Flynn, L. (2006). Effect of
perceived sport event and sponsor image fit on consumers'
cognition, affect, and behavioral intentions. Sport Marketing Quarterly,
15, 80-90.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size
for research activities. Educational and Psychological Measurement, 30,
607-610.
Landon, E. L. (1974). Self-concept, ideal self-concept, and
consumer purchase intentions. Journal of Consumer Research, 1, 44-51.
Madrigal, R. (2001). Social identity effects in a
belief-attitude-intentions hierarchy: Implications for corporate
sponsorship. Psychology & Marketing, 18(2), 145-165.
Martin, J. H. (1996). Is the athlete's sport important when
picking an athlete to endorse a nonsport product? Journal of Consumer
Marketing, 13(6), 28-43.
McCracken, G. (1989). Who is the celebrity endorser? Cultural
foundations of the endorsement process. Journal of Consumer Research,
16(3), 310-321.
McDaniel, S. R. (1999). An investigation of match-up effects in
sport sponsorship advertising: The implications of consumer advertising
schemas. Psychology & Marketing, 16(2), 163-184.
Nkwocha, I., Bao, Y., Johnson, W. C., & Brotspies, H. V.
(2005). Product fit and consumer attitude toward brand extensions: The
moderating role or product involvement. Journal of Marketing Theory and
Practice, 13(3), 49-61.
Nunally, J. C. Jr. (1978). Psychometric theory (2nd ed.). New York:
McGraw-Hill.
Plummer, J. T. (1985). How personality makes a difference. Journal
of Advertising Research, 24(6), 27-31.
Poon, D. T. Y., & Prendergast, G. (2006). A new framework for
evaluating sponsorship opportunities. International Journal of
Advertising, 25(4), 471-488.
Rifon, N. J., Choi, S. M., Trimble, C. S., & Li, H. (2004).
Congruence effects in sponsorship. Journal of Advertising, 33(1), 29-42.
Roy, D. P., & Cornwell, T. B. (2004). The effects of consumer
knowledge on responses to event sponsorships. Psychology &
Marketing, 21(3), 185-207.
Smith, G. (2004). Brand image transfer through sponsorship: A
consumer learning perspective. Journal of Marketing Management, 20,
457-474.
Spann, M. G. (2002). NASCAR racing fans: Cranking up an empirical
approach. Journal of Popular Culture, 36(2), 352-360.
Spears, N., & Singh, S. N. (2004). Measuring attitude toward
the brand and purchase intentions. Journal of Current Issues and
Research in Advertising, 26(2), 53-66.
Speed, R., & Thompson, P. (2000). Determinants of sport
sponsorship response. Journal of the Academy of Marketing Science,
28(2), 226-238.
Traylor, M. B. (1981). Product involvement and brand commitment.
Journal of Advertising Research, 21(6), 51-56.
Wilkie, W. (1986). Consumer behavior. New York: John Wiley &
Sons, Inc.
Wysong, S., Munch, J., & Kleiser, S. (2002). An investigation
into the brand personality construct, its antecedents, and its
consequences. American Marketing Association, Winter, 512-518.
Zhang, Z., Won, D., & Pastore, D. L. (2005). The effects of
attitudes toward commercialization on college students' purchasing
intentions of sponsors' products. Sport Marketing Quarterly, 14(3),
177-187.
Windy Dees, PhD, is an assistant professor of sport management at
Georgia Southern University. Her research focuses on the effectiveness
of sport sponsorship.
Gregg Bennett, EdD, is an associate professor and Director of the
Center for Sport Management Research and Education at Texas A&M
University. His research interests include the action sports segment and
effective event marketing.
Mauricio Ferreira, PhD, is the head of Marketing Science at
Hypothesis Group. His research interests are centered on understanding
consumer behavior with a particular emphasis on consumer choice.
Table 1.
Questionnaire Items
Brand and Driver Personality items
How accurately do the words listed below describe your favorite
driver and his major sponsor?
Honest, Down-to-Earth, Wholesome
Daring, Spirited, Imaginative
Reliable, Intelligent, Successful
Upper-class, Charming, Glamorous
Rugged, Tough, Outdoorsy
Attitude Toward the Sponsor items
When I think of the company that is the major sponsor of my
favorite driver, I personally see it as:
Bad/Good
Unfavorable/Favorable
Unpleasant/Pleasant
Attitude Toward the Brand items
When I think of the brand on the hood of my favorite driver's car,
I personally see it as:
Bad/Good
Unfavorable/Favorable
Unpleasant/Pleasant
Purchase Intentions items
How likely would it be that you purchase your favorite driver's
sponsoring brand the next time you need that
type of product or service?
Unlikely/Likely
Improbable/Probable
Impossible/Possible
Fan Identification items
How important is it to you that your favorite driver wins?
How strongly do you see yourself as a fan of your favorite driver?
How important is being a fan of your favorite driver to you?
Product Involvement items
I have a strong interest in my favorite driver's sponsoring brand.
My favorite driver's sponsoring brand is very important to me.
For me, my favorite driver's sponsoring brand matters.
Table 2.
Exploratory Principal Components Analysis (Direct Oblimin Rotation)
for Personality Fit
Personality Items Factor 1 Factor 2 Factor 3
Honest -.040 -.003 .928
Down-to-Earth .079 .031 .842
Wholesome .009 .062 .865
Daring .608 .214 .009
Spirited .737 .161 -.036
Imaginative .554 .440 .301
Reliable .421 .255 .301
Intelligent .222 .600 .124
Successful .355 .488 .077
Upper-Class .022 .813 .068
Charming -.062 .834 .087
Glamorous -.019 .828 .044
Rugged .842 -.042 .068
Tough .865 .007 .040
Outdoorsy .843 -.178 .115
Eigenvalues 8.91 1.02 0.99
Cronbach alpha (Reliability) .905 .894 .895
Factor means .177 .088 .239
Percentage of variance explained 59.37 6.80 6.52
Cumulative variance explained 59.37 66.17 72.70
Table 3.
Means, Standard Deviations (SD), and Bivariate Correlations of the
Variables
Variable Mean SD 1 2
1. Dimension 1 .177 1.42 --
(Excitement/Ruggedness)
2. Dimension 2 .038 1.52 .806 ** --
(Competence/Sophistication)
3. Dimension 3 .239 1.43 .704 ** .728 **
(Sincerity)
4. Attitude Toward the 6.10 1.22 -.432 ** -.350 **
Sponsor
5. Attitude Toward the 6.20 1.18 -.394 ** -.343 **
Brand
6. Purchase Intentions 5.91 1.64 -.365 ** -.310 **
7. Fan Identification 6.32 1.12 -.154 ** -.162 **
8. Product Involvement 5.61 1.73 -.466 ** -.385 **
Variable 3 4 5 6
1. Dimension 1
(Excitement/Ruggedness)
2. Dimension 2
(Competence/Sophistication)
3. Dimension 3 --
(Sincerity)
4. Attitude Toward the -.378 ** --
Sponsor
5. Attitude Toward the -.399 ** .749 ** --
Brand
6. Purchase Intentions -.303 ** .591 ** .592 ** --
7. Fan Identification -.172 ** .368 ** .416 ** .287 **
8. Product Involvement -.401 ** .600 ** .472 ** .607 **
Variable 7 8
1. Dimension 1
(Excitement/Ruggedness)
2. Dimension 2
(Competence/Sophistication)
3. Dimension 3
(Sincerity)
4. Attitude Toward the
Sponsor
5. Attitude Toward the
Brand
6. Purchase Intentions
7. Fan Identification --
8. Product Involvement .387 ** --
Note. ** p<.001
Table 4.
Results of Moderated Regression Analysis for Attitude Toward the
Sponsor
Step B S.E. [beta] [DELTA] Adj.
[R.sup.2] [R.sup.2]
Step 1 .41 ** .40
Dimension 1 -.133 .094 -.117
Dimension 2 .137 .093 .121
Dimension 3 -.084 .074 -.077
FAN ID .262 .053 .226 **
PROD INV .295 .037 .400 **
Step 2 .05 ** .45
Dime1 x FAN ID -.176 .095 -.163
Dime2 x FAN ID -.165 .105 -.122
Dime3 x FAN ID .169 .080 .160 *
Dime1 x PROD INV .063 .054 .137
Dime2 x PROD INV .084 .047 .175
Dime3 x PROD INV -.057 .049 -.109
Note. ** p<.001, * p<.05
Table 5.
Results of Moderated Regression Analysis for Attitude Toward the Brand
Step B S.E. [beta] [DELTA] Adj.
[R.sup.2] [R.sup.2]
Step 1 .34 ** .33
Dimension 1 -.167 .100 -.151
Dimension 2 .098 .098 .089
Dimension 3 -.146 .078 -.136
FAN ID .356 .057 .311 **
PROD INV .162 .039 .224 **
Step 2 .03 ** .36
Dime1 x FAN ID -.082 .101 -.078
Dime2 x FAN ID -.135 .112 -.102
Dime3 x FAN ID .133 .085 .129
Dime1 x PROD INV -.070 .057 -.155
Dime2 x PROD INV .093 .050 .200
Dime3 x PROD INV .039 .051 .078
Note. ** p<.001
Table 6.
Results of Moderated Regression Analysis for Purchase Intentions
Step B S.E. [beta] [DELTA] Adj. R2
[R.sup.2] [R.sup.2]
Step 1 .38 ** .37
Dimension 1 -.086 .141 -.055
Dimension 2 -.040 .139 -.026
Dimension 3 .014 .110 .009
FAN ID .128 .080 .079
PROD INV .543 .055 .530 **
Step 2 .00 .37
Dime1 x FAN ID -.082 .142 -.055
Dime2 x FAN ID .037 .157 .020
Dime3 x FAN ID .018 .119 .012
Dime1 x PROD INV -.003 .081 -.005
Dime2 x PROD INV .033 .070 .049
Dime3 x PROD INV .010 .072 .014
Note. ** p<.001