Tourist Perceptions of Event-Sponsor Brand Fit and Sponsor Brand Attitude

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Tourist Perceptions of Event-Sponsor Brand Fit and Sponsor Brand Attitude Abstract Sponsorships play an increasing role in the viability of events, including those targeted at tourists and sponsors typically seek to build a rapport between their brands and the event attendees. The extent to which the event related imagery benefit the sponsor brand will depend on alignment between the sponsor brand and the event. In addressing this issue this study examines the mediating role of event-sponsor fit between visitor event liking, self-sponsor congruity and sponsor brand favorability. Interviews were conducted with 1,215 attendees at the Taipei International Flora Exhibition and formed a basis for hypothesis testing. An examination of three sponsor brands over nine surveys concluded that event-sponsor fit consistently mediates the effect of event liking and self- 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19

Transcript of Tourist Perceptions of Event-Sponsor Brand Fit and Sponsor Brand Attitude

Tourist Perceptions of Event-Sponsor Brand Fit and Sponsor

Brand Attitude

Abstract

Sponsorships play an increasing role in the viability of

events, including those targeted at tourists and sponsors

typically seek to build a rapport between their brands and the

event attendees. The extent to which the event related imagery

benefit the sponsor brand will depend on alignment between the

sponsor brand and the event. In addressing this issue this

study examines the mediating role of event-sponsor fit between

visitor event liking, self-sponsor congruity and sponsor brand

favorability.

Interviews were conducted with 1,215 attendees at the Taipei

International Flora Exhibition and formed a basis for

hypothesis testing. An examination of three sponsor brands

over nine surveys concluded that event-sponsor fit

consistently mediates the effect of event liking and self-

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sponsor congruity on brand favorability. Results confirmed

that event organizers and sponsors can benefit from the use of

perceived fit as a means of shaping brand attitudes when they

sponsor art and/or social-related events.

Keywords: event liking, event-sponsor fit, self-sponsor

congruity, sponsorship

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1. Introduction

Those who engage in commercial sponsorships often aim

totransfer event related images to a sponsor, and

influenceparticipant attitudes towardsthe sponsor brand

(Gwinner, 1997; Gwinner& Eaton, 1998; Roy & Cornwell, 2003).

The extent to which the transferring of imagesis effective

depends on the degree to which there is a fit between the

sponsor brand and the event being sponsored.Most previous

research has focused on the prevalence of congruent

relationships between sponsor brands and sport related events

(Gwinner, 1997; Gwinner& Eaton, 1999; Johar& Pham, 1999;

McDaniel, 1999; Speed & Thompson, 2000; Cornwell, Humphreys,

Maguire, Weeks &Tellegen, 2006; Koo, Quarterman& Flynn, 2006).

Previous investigations (Gwinner, 1997; Gwinner& Eaton, 1999)

reported thatsponsor brand equity is influenced by consumer

perceptions of the congruence between the sponsor and the

event. More highly congruent sponsorships generally lead to a

more favorable attitude towards the sponsor. Such congruence

may be either functional or image-related.Perceptions3

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ofthesimilaritiesplay a key role in determining the

effectiveness of image transfer from the event to the brand

(Gwinner& Eaton, 1999). Cornwell et al. (2006) found that a

congruent event-sponsor relationship helps the sponsoring

brand to form and then develop associations from the event.

This event-brand fit has been shown to affect not only

consumer cognitive and affective responses, but also their

purchasing intentions (Koo et al., 2006).

Using applicable self-concept theories (e.g., behavioral

theory and cognitive theory), researchers have examined the

relationship between an audience’s identification with an

event and its attitude to a sponsor brand (Madrigal, 2001;

Sirgy, Lee, Johar, & Tidwell, 2007; Gwinner, Larson, &

Swanson, 2009).Sirgy et al. (2007) showed that self-congruity

with a sponsored event increasesperceptions of image transfer

and has a positiveeffect on attitudes toward sponsor brands.

Such identifications help to create favorable attitudes

towards the event and nurture positive feelingswhich can have

a spillover effect for sponsors. Gwinner et al. (2009) found

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that when an audience has strong and positive perceptions of

an event, there will be more effective transference of the

sponsor brand than is the case where the image is weak. It is

evident that an event image must be sufficiently prominent in

the memory of the audience before it will be associated with

the sponsor.

Although many investigations (Speed & Thompson, 2000;

Gwinner&Bennet, 2008) have examined the effects of perceived

event-sponsor fit on consumer attitudes toward a sponsor

brand, they have provided only limited insights into the

mediating role of event-sponsor fitbetween event

identification, self-event congruity, and brand attitudes.

Gwinner and Bennet (2008)used self-congruity theory to show

that event-sponsor fit mediates the relationship between brand

cohesiveness and event identification, and brand attitude.

Speed and Thompson (2000) on the other hand drew upon the

perspective of classical conditioning theory to show that

event-sponsor fit moderates the relationship between personal

liking (i.e., attitudes towards an event) and sponsor brand

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favorability. On this basis there is an urgentneed to clarify

the integrating role of event-sponsor fit. Sponsorship is

increasingly important as a marketing communications tool and

sponsor organizations should benefit from a clarification of

this relationshipwhen selecting suitable events, and designing

supporting marketing programs. It should also assist event

organizations to identify prospective event sponsors.

To date the literature on different types of sponsorship has

been imbalanced. Sport has attractedgreatest interest, perhaps

because of its importance in global culture and the tendency

towards globalization of sporting events, teams and

personalities (Verity, 2002). Most of the relevant studies

within the relevant literature have focused on sport related

sponsorships (Speed & Thompson, 2000; Sirgy et al., 2007;

Gwinner& Bennett, 2008; Gwinner et al., 2009). It is now

timely to investigate the perceived fit with event-sponsor or

event-self congruityin the case of non-sporting events,

including those with an art and/or social orientation. This

investigationwill help to explain whether the applicability of

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the process is confined to sporting events.

International Event Group (2012) reported that global event

sponsorship expenditures increased between 2007 and 2011 from

US$37.9 billion to US$46.3 billion (IEG Sponsorship Report,

2012). Asia was the most rapidly growingregion and

expendituresgrew from US$3.8 billion in 2000 to US$ 10.6

billion in 2010. The present study extends the applicable

consumer theories about commercial sponsorships that attempt

to explain the respective effects of liking an event, self-

sponsor congruity and event-sponsor fit on sponsor brand

favorability in the context of an Asian mega-event. The study

has two main objectives: (1) to examine the mediating role of

perceived event-sponsor fit between tourist identification

with sponsor brands, liking of the event and attitudes towards

sponsor brands in the case of a social mega-event such as

International Flora Expositions or World Expositions since

these events provide an altruistic image to be leveraged by

sponsors (Becker-Olsen & Carolyn, 2002); (2) to provide

managerial insights for both sponsorship mangers and event

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institutions.

2. Conceptual development, model, and hypotheses

2.1 Event liking, perceived event-sponsor fit and attitude to

sponsor brands

Sponsors generally anticipate that the image of the

sponsored activity or event will be transferred to the sponsor

brand because the event linkage evokesattributes amongst

consumers (Gwinner, 1997; McDaniel, 1999). The effectiveness

of transferring an event image to a sponsor brandwill dependon

the extent to which the brand image and supporting marketing

activitiesare incorporated within the sponsorship arrangement

(Gwinner& Eaton, 1999). The event is likely to be theprimary

concern for attendees.The extent to which they like or are

knowledgeablewill influence their ability to map attributes

from the event to the sponsor brands (Roy & Cornwell, 2004).

According to activation theory (Anderson 1983; Collins &

Loftus 1975) mental structures are automatically and

subconsciously activated from long term memory when an

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individual enters a particular setting. This activation

process stimulates an individual’s perception of a given

setting (Kroeber-Riel, 1979) and prompts the recalling of

appropriate and applicable schemas and scripts from the long

term memory (Bettman, 1979). In cases where visitors have

limited knowledge about the event (or schema) and cannot draw

from their schema to understand the relationship, they may

struggle toform links between the event and the sponsor brand

(Roy & Cornwell, 2004; Moor & Homer, 2008).Participant

attitudes towards the event will play a critical role in

activating the potential transfer of images. Sponsors benefit

from the "gratitude" of fans who have a strong liking for the

event (Crimmins& Horn, 1996; Lee, Sandler &Shani 1997; Speed

and Thompson 2000). Spectators are more likely to develop

favorable responses towards the sponsorwhen they perceive an

event to be attractive, entertaining and interesting

(D'Astous&Bitz, 1995). Such positive dispositions may create

favorable attitudes which may have a spillover effect to the

sponsoring company(Gwinner, 1997; Gwinner& Eaton, 1999).

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The affect-as-information hypothesis (Clore, Wyen Jr.,

Dienes, Gaper, Gohm, & Isbell, 2001) suggests that affect

provides information about the personal value of whatever is

in mind at the time. Positive affect signals that the object

of judgment is valuable, leading to a positive evaluation, and

viceversa.When visitors like an event, this improves recall

and recognition of the sponsor brand, thereby raising and

increasing preference (Gwinner, 1997; Gwinner&Swanson, 2003).

Speed and Thompson (2000) indicated that customer liking for a

sporting event positively influencesfavorabilityfor the

sponsorbrand. On this basis the researchers propose the

following hypothesis.

H1. A visitor’s likingfor an event impactspositively on

perceptions of the sponsor brand favorability.

Affect may be experienced as feedback about the value of

one’s current thoughts and inclinations (Clore et al., 2001;

Briñol& Petty, 2009). Positive affect tends to reinforce this

tendency, leading to relational (cognitive, interpretive,

category-level and global) processing (Clore et al.,

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2001;Clore&Huntsinger, 2007). The results of research by Yang,

Yang, &Isen, (2013) demonstrated that positive affect,

compared with neutral affect, significantly enhanced working

memory, as measured by the operation span task.

Along similar theoretical lines, the mood-behavior model

(Gendolla, 2000; p. 378) proposes that “moods can have (a) an

informational impact by influencing behavior-related judgments

and appraisals and (b) a directive impact in that they

influence behavioral preferences in compliance with a hedonic

motive.However, the strength of the informational mood impact

depends on mood’s effective informational weight for behavior-

related judgments and on mood-primed associations.” Mood

primes mood-congruent material in memory, which thenforms a

basis for judgment, Positive mood affects brand attitudes

towards an advertised product by facilitating the processing

of ad message information (Howard & Barry, 1994). It is

proposed that positive mood activates substantive processing

(Forgas, 1995) and sematic associations (Kuhl, 2000).

In the events context the sponsor exposes attendees to

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perceptual, semantic, and/or conceptualstimuli. When attendees

have a stronger liking for the event, the mood-primed effect

will affect the extent to which they notice the messages

delivered by sponsors at the venue, besides any contextual

cues.Thus, the more that attendees like the event as well as

the sponsor brand because of self-sponsor congruity, the

stronger the perceived fit.

On this basis the current researchers argue thatevent

likingformsan antecedent for participant perceptions of the

event-sponsor fit. For instance, sponsoring an international

art event can provide a context for local visitors to maintain

brand awareness of a sponsor that serves their community.

Brand associations that aremood-primed and activated at the

sponsored event may also enhance perceptions of the sponsor as

being socially responsible and commitment-worthy. On this

basis enhancement occurs because event liking increases

perceptions of event-sponsor fit thereby leading to the

following hypothesis:

H2.Liking of an event by visitors will impact positively on

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perceivedevent-sponsor fit.

2.2 Self-sponsor congruity, event-sponsor fit and sponsor

brand favorability

People are motivated to engage in behaviors that satisfy the

need for social consistency (Sirgy, 1982). Self-congruity

theory contends that consumers frequently purchase products or

brands that they perceiveas resembling both their real and

ideal self (Dolich, 1969; Graeff, 1996). This is the case for

self-expressive reasons as well as for utilitarian benefits

(Park, Jaworski, &MacInnis, 1986). Consumers use products that

possess symbolic meanings to demonstrate who they are and how

they want to be viewed(Sirgy, 1982; Govers&Schoormans, 2005).

Consumers define, maintain and enhance their self-concept by

purchasing and using products(Zinkham& Hong, 1991).

Alexandris, Douka, Bakaloumi, &Tsasousi(2008) have argued that

the effectiveness of image transfer from a sport sponsorship

depends on the extent of participant faith in the sponsors.

Previous research on self-image has confirmed that self-

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congruity with a product or store can influence consumer

behavior in the realms of: brand attitude, brand preference,

purchase motivation, brand satisfaction, and brand loyalty

(Graeff, 1996; Jamel& Goode, 2001; Sirgy, 1982; Sirgy et al.,

2007). Jamel and Goode (2001) provided support for the view

that self-image congruity is a strong predictor of brand

preference and satisfaction in the precious jewelry market.

Graeff (1996) indicated that the congruence between self-image

and product image is positively related to consumer product

evaluations. Retail selections arealso influenced by consumer

perceptions of self-store congruity. Consumers tend to shop at

stores which are viewed as congruent with their self-concepts,

and avoid those that are not (Samli&Sirgy, 1981). The self-

congruence effect also influences brand personality. Customers

prefer brands with which they share similar personal

characteristics (Aaker, 1999).In the case of event

sponsorships, visitor self-congruence with a sponsoring brand

that arises because of image compatibility or products used in

the event when they are involved in the activities, will shape

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their attitude towards sponsors. On this basis the researchers

propose the following hypothesis.

H3. A visitor’s self-sponsor congruity impacts positively on

the favorability of the sponsor brand.

Self-sponsor congruity refers to the degree to which

consumers think the imageor personality of the sponsor matches

their own self-image (Sirgy, 1982; Sirgy et al., 2007). It

reflects the degree of congruity between the consumer's self-

image and the brand image of the sponsor. It may result from

stronger sponsor related knowledge because ties to other

information can be clearer (Meenaghan2001; Close,

Krishen&Latour, 2009). This knowledge provides a basis for

evaluating the advertised brand (i.e., event sponsor). When

the event context primes an attribute (e.g., social

responsibility) that has positive implications for the

evaluation of the target brand, overall brand evaluations will

be enhanced (Yi, 1990).

According to theories of cognitive consistency, when people

encounter information that is inconsistent with their existing

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beliefs, the inconsistent information will result in negative

psychological tension (Osgood &Tannenbaum, 1955). To resolve

tensionsarising from inconsistency, the person might ignore

some of the discrepant informationand weight consistent

information more heavily thaninconsistent information

(McGuire, 1972). Therefore, when a sponsor is identified as

linked to an event, visitors may infer that some of the

particular associations, judgments, or feelings that

characterize the event also characterize the sponsor. In

evaluating an event-sponsor fit, visitors may weigh heavily on

the sponsors that have a higher compatible self-image than

those that donot. Such self-sponsor congruity may strengthen

perceptions of event-sponsor fit.In the event sponsorship

context, greater knowledge and more positive evaluations of

consistent information about sponsorsarises because of higher

self-sponsor congruity and allowsvisitors to view event–

sponsor fit from multiple perspectives, thereby increasing

perceptions of a fit between the sponsor and the event. This

leads to the following hypothesis:

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H4. A visitor’s self-sponsor congruity impacts positively on

perceived event-sponsor fit.

2.3 The mediating role of event-sponsor fit

Memory is not a verbatim account of past experiences, but a

blend of both specific memoriesand general abstractions about

types of people, activities, and objects (Rumelhart&Ortony,

1977). Schemas are a more general cognitive structure which is

held in the long term memory.If an item is congruent with an

existing schema, it will receive the effect linked to that

schema (Fiske, 1982). Drawing upon previous schema related

theory, sponsorship research has identified the importance of

the link, fit, congruency, relatedness or matching between the

sponsor and the applicable event / team (Gwinner& Eaton 1999,

McDaniel 1999, Speed & Thompson 2000, Meenaghan& O'Sullivan,

2001, Roy and Cornwell 2004, Cornwell et al. 2006, Koo,

Quarterman& Flynn 2006). Where there is a fit that is

attributable to a functional dimension (the product used in

the event) or an image based dimension (compatible image

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between the event and sponsoring brand) there is a significant

influence on variables such as attitudes to sponsors, and

ultimately, purchase intentions (McDonald, 1991; Gwinner&

Eaton, 1999; Speed & Thompson, 2000; Roy & Cornwell, 2003; Koo

et al., 2006; Lee & Cho, 2009).

McDaniel (1999) used a schema-based approach to examine the

effect of brand/sport matchups as a persuasive influence on

attitudes to the sponsor brand. Gwinner and Eaton (1999)

confirmed that strengthening the event/product match enhances

the resulting image transfer. Koo et al. (2006) also found

that respondents who perceive a high level of brand-event fit

may transfer such favorable associations to their evaluation

of the sponsor brand image. On this basis they demonstrate

favorable attitudes towards the sponsor brand. Experimental

research has also indicated that greater congruence between an

event and brand helps to develop positive attitudes towards

the brand and form an effective sponsorship (Crimmins& Horn,

1996; Gwinner& Eaton, 1999; Johar& Pham, 1999). Speed and

Thompson’s CSR research (2000) suggested that congruence

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between a brand and a sporting event significantly influences

sponsorship outcomes, such as attitudes toward the sponsor

brand and purchasing intentions.

Visitors who have higher levels of sponsor identification

have a greater capacity to appraise the motivations for

sponsoring the sportevent; connect with the sponsor brand

(Gwinner& Bennett, 2008; Gwinner& Eaton, 1999) and produce

favorable attitudes towards the sponsor brand. Speed and

Thompson (2000) reported that the perceived sincerity of the

sponsor brand is regarded as motivating and promoting social

well-being. The higher the fit between the event and the

sponsor brand because of perceived sincerity, the stronger the

connection with altruism (Gwinner& Bennett, 2008). Participant

concerns about the motivations and nature of sponsors shapes

their attitudes towardsthe sponsor brand (Barone, Miyazaki, &

Taylor, 2000). Research into so-called cause marketing has

discovered that the better the fit between cause-related event

and sponsor brands, the easier it is to invoke altruistic

motivations, andleads to sponsor credibility and

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favorability(Rifon, Choi, Trimble, & Li, 2004). Becker-Olsen

and Simmons (2002) also indicated that the absence of such

congruence can reduce the value of the brand as a signal

because of uncertainty about what the brand represents. Where

the level of such congruence is high, the related attributes

from a CSR relationship will be integrated into participant

cognitive structures that help to enrich the image of the

sponsor brand. Since this image enrichment can enhance

perceptions of overlap between participant self-concept and

the image concept of the sponsor brand, an increase in

spectator self-congruity with the sponsor may be anticipated.

Therefore, the higher the self-congruity with the sponsor that

is developed, the better the anticipated attitude towards the

sponsor brand. On this basis the researchers hypothesize that:

H5.The perceived event-sponsor fit mediates the effects of

event liking and self-sponsor

congruity on sponsor brand favorability.

The development of the above hypotheses suggests that event

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liking and self-sponsor congruity directly influence attitudes

to the sponsor brand as well as the perceived event-sponsor

fit. This perception of congruity between event and sponsor

mediates the impacts of event identification and self-sponsor

congruity on sponsor brand favorability. The hypothesized

model is illustrated in Figure 1.

--------- Insert Figure 1 here --------

3. Methods

3.1 The selection of an event and sponsors

The 2010 Taipei International Flora Exposition (TIFE) was

chosen as the subject of the present investigation for the

following reasons. Firstly, it is Taiwan’s inaugural

international certified standard exhibition

(http://www.2010taipeiexpo.tw/MP_3.html). The event attracted

approximately 8,960,000 domestic and international visitorsand

involved approximately thirty thousand volunteers over a 6

month period (from November, 2010 until April, 2011).

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Secondly, the 2010 TIFE was conceived and positioned as an art

and CSR event that involved urging the public to reconsider

mankind's relationship with nature and the environment. The

exhibition grounds were designed around three concepts:

horticultural display, technology, and designed grounds,

technology and environmental protection. The exhibition

organizer emphasizes the 3 Rs concept (Reduce, Reuse and

Recycle). The event was characterized as covering culture, art

and a green lifestyle.

Thirdly, Flora Expo was actively trumpeted in Taiwan as an

internationally representative activity. The TIFE organizer

(Taipei City Government) promoted the event widely within the

mass media and developed assorted strategies such as campus

marketing and online group buying to attract participation by

locals. It attracted NT$1.3 billion in financial support from

67 companies. It has greater recognition than most events in

Taiwan. Visitorsformed a clear image of the event and were

expected to appreciatethe fit between the sponsor brands and

the event.

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Three major supporters were selected on the basis of three

criteria from the wider pool of prospective sponsors namely

Starbucks, Taipei Fubon, and Luxgen. It is noteworthy that

Starbucks has actively supported and has had an ongoing

involvement in CSR-related activities within Taiwanand was

awarded a bronze medal from the Council for Cultural Affairs

(in 2010). Starbucks has also been the only company to win

the “Green Procurement Business Reward” in the catering

industry for three consecutive years, and was (in 2010) the

top ranking green brand. As a benchmark in the financial

service industry, Taipei Fubon was ranked top internationally

in corporate civic responsibility.The makers of Luxgen, a new

car brand, has advocated the merits of energy saving and

carbon reduction for its series of newly released cars. On

this basis, Luxgen won the “Corporate Social Responsibility

Awards” held by Global Views Monthly in 2010.All three brands

seem to fit the event image attributes. Secondly, all three

brands are well-known in Taiwan. Starbucks, the largest coffee

chain, won the Emotional Brand Award held by Yahoo (internet

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service) in 2010. Common Wealth Magazine ranked Taipei Fubonas

Taiwan’s top bank (2010). Luxgenemerged quickly as Taiwan’s

seventh ranked automobile brand (in 2010) following its roll-

out in 2008, despite being a relatively new brand in the

market.Thirdly, the researchers opted to include examples from

several industries (the food service sector in the case of

Starbucks, Taipei Fubon in the case of financial services and

Luxgen in manufacturing) with a view to generalizing the

findings through coverage of a range of sectors in the sponsor

poll.

Natural field settings have been recognized as an emerging

method for examining event sponsorships (e.g., Grohs et al.,

2004; Sirgy et al., 2007). The researchers adopted this method

for the collection of data in the current study. Event

visitors within the event grounds were invited to complete a

questionnaire. Three surveys were conducted at equal intervals

during the 6 months of the event (i.e. during the 1st, 3rd and

6th months of the expo). A total of 1,500 questionnaires were

collected (500 for each survey) at four major exhibition

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grounds: Yuanshan Park, Fine Arts Park, Xinsheng Park and

Dajia Riverside Park. A judgmental sampling method was adopted

because a random sampling approach was impractical given the

complexities of the event population.

3.2Measurement

The researchers deployed existing scales to measure the

various constructs that were of interest, modifying them to

fit the context of the study. A panel of academics and

industry marketing experts reviewed the survey instruments.

The questionnaire was pilot tested at the 21stSummer 2009

Deaflimpic Taipei Games. The attitudinal measures of event

liking drew upon Speed and Thompson (2000) and a four-item

scale was used ranging as follows: (1) I am a strong supporter

of this event; (2) this event is important to me; (3) I enjoy

following coverage of this event; and (4) I would want to

attend this event. The items were framed as statements about

visitor attitudes towards the event and their degree of

liking.

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Perceived event-sponsor fit has been defined as the degree

to which visitors perceive the sponsor and the event as having

direct or indirect relevance (McDonald, 1991). Consistent with

previous investigations (Gwinner, Bennett, 2008; Speed &

Thompson, 2000), the researchers used the following a five-

itemscale to measure event-sponsor fit: (1) there is a logical

connection between the event and the sponsor; (2) the image of

the event and the image of the sponsor are similar; (3) the

sponsor and the event fit together well; (4) the company and

the event stand for similar things; and (5) it makes sense to

me that this company sponsors this event. Self-sponsor

congruity has been defined as the perceived congruence between

visitor’s self-concept and sponsoring brand image (Sirgy et

al., 2007). This construct was measured as follows using a

four-item semantic scale developed by Robin and Lawrence

(1989): (1) others use it to judge me / others won’t use it to

judge me; (2) part of my self-image / not part of my self-

image; (3) tells others about me / doesn’t tell others about

me, and (4) portrays an image of me to others / doesn’t

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portray an image of me to others.

For the purposes of the present investigation brand

favorability is defined as the extent to which event visitors

believe an event sponsorship will affect their favorability

towards the sponsor brand. This construct was measured using a

three-item scale adopted from Speed and Thompson (2000) as

follows: (1) this sponsorship makes me feel more favorable

towards the sponsor; (2) this sponsorship would improve my

perception of the sponsor; and (3) this sponsorship would make

me like the sponsor more. Responses to the measuring items of

all constructs were captured on six-point Likert-type scales,

with the exception of the construct of self-sponsor congruity.

4. Data Analysis and Testing

4.1 Respondent profile

A range of demographic informationwas collected about the

respondents includingtheir gender, age, disposable income and

level of education. The percentage of male and female is

almost evenly distributed in the first survey (Male = 43.3%,

Female = 56.7%). Respondents were clustered in the age group

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21 to 30 (44.3%), and their highestlevel of education was

predominantly at college degree level (69.2%). Monthly

disposable incomes tended to be less than NT$25,000 (56.1%).

In the second survey, the percentage of females exceeds their

male equivalents by 1.5 times (Male = 36.7%, Female = 63.3%).

The largest grouping of respondents was in the age category 21

to 30 (40.3%), and their education was mainly at college

degree level (78.1%). Monthly disposable incomes were

generally under NT$25,000 (78.8%). In the third survey, the

percentage of females was 1.5 times higher than males (Male =

37.3%, Female =62.7%). Respondents were predominantly aged 21

to 30 (52.5%), and their highest level of education was

college degree (64.2%). The monthly disposable income was

largely under NT$25,000 (72.2%). Chi-square tests indicate

significant differences between the respective gender

distributions.

A substantial majority of the respondents in each of the

three surveys paid frequent attention to arts related news

(all above 76.2%). On this basis the Taipei Flora Expo may be

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considered as an influential event in the life of the research

subjects.

4.2Sponsor Variation

Past research has indicated that a sponsor’s brand equity

influences perceptions of event-sponsor fit (e.g., Cornwell,

Weeks and Roy, 2005; Roy & Cornwell, 2004) while more

expertise about the sponsor affects self-congruity with the

sponsor (Close et al. 2009). The researchers analyzed

differences amongst the three sponsors on the basis of self-

sponsor congruity and event-sponsor fit. The results of one-

way ANOVAs from the pooled data indicate that tourists’ self-

sponsor congruence with Starbucks (mean=3.41, S.D.=1.15) and

Luxgen (mean=3.09, S.D.=1.10) is significantly larger thanfor

Fuban (mean=3.20, S.D.=1.31) at p<0.05. A significant

difference (at p<.01) in mean scores among the three sponsors

(Fuban, mean=3.39, S.D.=.93;Luxgen, mean=3.51, S.D.=.99;

Fuban, mean=3.80, S.D.=.94) outlined above was also found for

event-sponsor fit measure. Thus, the analyses of variation

suggested that the findings are robust across the three

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sponsors. On this basis, the full data set was used to

maximize test power.

4.3 Hypothesis testing

Structural equation modeling was used to validate the

framework and hypotheses using the Partial Least Square (PLS)

procedure with Smart-PLS2.0 (Ringle, Wende, & Will, 2005).The

variance-based PLS procedure was used because this

distribution-free regression analysis technique is robust for

deviations from normality (Henseler et al., 2009). PLS is an

appropriate structural equation modeling technique for

mediation effect analysis and model examination since it was

originally based on the concept of regression and path

analysis (Hair,Ringle, &Sarstedt, 2011). The measurement and

structural models were assessed simultaneously. First the

validity and reliability of the measurement model was assessed

and the structure model was then tested using the value of

path coefficient (β value) and R2 value (Anderson &Gerbing,

1988). The researchers adhered to the recommended conditions

for this approach, namely to derive hypotheses from a model

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including constructs that have been proposed in the marketing

literature and that accommodate predictive causal analysis

(Wendlandt& Schrader, 2007).

4.4 Measurement model

As is indicated in Table 1 (which is a pooled sample of the

three surveys), convergent validity was far above the

threshold with criterions. The average variance extracted

(AVE) for each construct exceeded 0.50 (Fornell&Larcker,

1981). All values of composite reliabilities (CR) and

Cronbach’s α are significantly above .70 (Nunnally, 1978). In

addition, an examination of correlation coefficients reveals

that all variables of event liking, perceived event-sponsor

fit, self-sponsor congruity and sponsor brand favorability are

significantly correlated, except in the case of the

relationship between event liking and self-sponsor congruity.

The coefficients range between .18 and .41 for the Starbucks

sample, -.02 to .41 for the Taipei Fubon sample, and .05

and .47 for the Luxgen sample (see Table 2). Furthermore and

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as shown in Table 2the squared root AVE of the constructs in

the three pooled sample are all higher than the inter-

construct correlations. On this basis, the discriminant

validity was also acceptable (Fornell&Larcker, 1981).The

results of the measurement models for each surveywerenot

reported here, since all achieved the applicable validity and

reliabilitytests.

--------- Insert Table 1 and Table 2 here ---------

4.5 Structural Model

To test the hypothesized relationships, the researchers

generated t-values by using bootstrapping with two

timessubject sub-samples (Chin, 1998). Tables 4, 5 and 6 show

the path coefficients for the hypothesized relationships in

the case of each of the three brands- Starbucks, Taipei Fubon,

and Luxgen. To assess the mediating effects in cultivation,

the researchers adopted the SEM procedure. PLS Mediation was

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deemed to exist where the following three conditions were met:

(1) the exogenous variable affects the mediating variable, (2)

the mediator affects the endogenous variable, and (3) the

effect between exogenous and endogenous variables is reduced

when the mediator is controlled. The strongest mediation

exists if there is no effect when the mediator is included

(Baron and Kenny, 1986).

The case of Starbucks

As is shown in Table 3 for the Starbucks brand, the H1 and

H2 tests indicate that liking anevent has a significanteffect

on event-sponsor fit (β1st=.22, p<.01; β2nd=.20, p<.01; β3rd=.10,

p<.05) and sponsor brand favorability (β1st=.22, p<.01; β2nd=.16,

p<.05; β3rd=.29, p<.01) over the three surveys. On this basis H1

and H2 are supported. The path coefficients between self-

sponsor congruity and perceived event-sponsor fit (β1st=.21,

p<.05; β2nd=.20, p<.05; β3rd=.32, p<.05) are significant for all

three surveys. The testing of H4 demonstrated that the path

coefficients between self-sponsor congruity and sponsor brand

favorability (β1st=.27, p<.01; β2nd=-.09, p>.10; β3rd=.16, p<.05)

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are significant except in the case of the second survey. On

this basis H3 is supported, though this is only partially the

case for H4.

On testing the mediation effects of perceived event-sponsor

fit on the relationships between event liking, event-sponsor

congruity and sponsor brand favorability, the researchers

first identified that the path coefficients between event-

sponsor fit and brand favorability are significant and

positive. Secondly, when the mediator - event-sponsor fit is

inserted, the R2is enhanced (from .19 to .23 with f2=.05;

from.10 to .30 with f2=.20; from .21 to .27 withf2=.08) in the

three survey samples. The effect sizes of the mediator for the

three samples are all above the threshold value of .02 (Hair,

Ringle, &Sarstedt, 2011). The direct effects of event liking

on sponsor brand favorability (from β1st=.28 to β1st=.22; from

β2nd=.53 toβ2nd=.50; from β3rd=.39 to β3rd=.27) as well as self-

sponsor congruity on sponsor brand favorability (from β1st=.32

to β1st=.27; from β2nd=-.18 to β2nd=-.09; from β3rd=.25 toβ3rd=.16)

are reduced in all cases except in the second survey. The

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results of the analysis indicated that event-sponsor fit

partially mediates the effects of both liking an event and

self-sponsor congruity on sponsor brand favorability. On this

basis the researchers concluded that H5 is partially

supported.

--------- Insert Table 3 here ---------

The case of Taipei Fubon

Table 4 presents the estimated path coefficients of the

hypothesized model and the respective significance for the

Taipei Fubon brand. It shows a medium explanatory power for

sponsor brand favorability (R2=.19 for 1st survey, R2=.37 for 2nd

survey and R2=.36 for 3rd survey), and event-sponsor fit (R2=.12

for 1st survey, R2=.08 for 2nd survey and R2=.13 for 3rd survey).

There is a significantly positive and direct impact of event

liking on perceived event-sponsor fit (β1st=.20, p<.01; β2nd=.24,

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p<.01; β3rd=.36, p<.01), and brand favorability (β1st=.38, p<.01;

β2nd=.47, p<.01; β3rd=.54, p<.01), thereby lending support for H1

and H2. In the three surveyed samples, self-sponsor congruity

has significant direct and positive impacts on event-sponsor

fit (β1st=.29, p<.01; β2nd=.20, p<.01; β3rd=.18, p<.05), but its

direct effect on brand favorability (β1st=.13, p>.1; β2nd=.17,

p<.05; β3rd=.09, p>.1) is only significant in the second sample.

Thus, the results indicate that H4 is supported while H3 is

partially supported.

-------- Insert Table 4 here --------

To test the mediation effect of perceived event-sponsor fit

on the relationships between event liking, event-sponsor

congruity and sponsor brand favorability for the Taipei Fubon

brand, the researchers firstly examined if the path

coefficients between event-sponsor fit and brand favorability

are significant and positive. As illustrated in Table 4 all

path coefficients in the three samples are positively

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significant, except in the case of the first sample where the

standardized coefficient is insignificant (β2nd=.13, p>.10).

Secondly, when the mediator - event-sponsor fit is inserted,

the R2 is enhanced in each of the three surveys (from .18

to .19 with f2=.01; from .28 to .37 with f2=.29; from .33 to .36

with f2=.05). The direct effects of event liking on sponsor

brand favorability (from β1st=.38 to β1st=.35; from β2nd=.47 to

β2nd=.39; from β3rd=.54 to β3rd=.47) as well as self-sponsor

congruity on sponsor brand favorability (from β1st=.21 to

β1st=.16; from β2nd=.24 to β2nd=.17; from β3rd=.13 toβ3rd=.09) are

all reduced. The effect sizes of the three surveyed samples

are above the threshold value of .02, except in the case of

the first survey (f2=.01). Of the three samples involved in the

test, the results of two samples provide support for H5. Thus,

we conclude that H5 is partially supported for the Taipei

Fubon brand.

The case of Luxgen

Table 5 presents the estimated path coefficients of the

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hypothesized model and respective significance for the Luxgen

brand. It shows a medium and explanatory power for sponsor

brand favorability (R2=.19 for 1st survey, R2=.28 for 2nd survey

and R2=.42 for 3rd survey), and event-sponsor fit (R2=.19 for 1st

survey, R2=.12 for 2nd survey and R2=.22 for 3rd survey). A

significantly positive and direct impact of event liking is

evident on perceived event-sponsor fit (β1st=.22, p<.01;

β2nd=.14, p<.01; β3rd=.37, p<.01), and sponsor brand favorability

(β1st=.35, p<.01; β2nd=.46, p<.01; β3rd=.51, p<.01) in the three

surveys, thereby lending support for H1 and H2. Similarly,

self-sponsor congruity has significant direct and positive

impacts on brand favorability (β1st=.26, p<.01; β2nd=.20, p<.05;

β3rd=.26, p<.01) and event-sponsor fit (β1st=.40, p<.01;

β2nd=.32,p<.01; β3rd=.23, p<.01), thus confirming H3 and H4.

To examine the mediation effects of perceived event-sponsor

fit on the relationships between event liking, event-sponsor

congruity and sponsor brand favorability for the Luxgen brand,

the researchers ascertained whether the path coefficients

between event-sponsor fit and brand favorability are

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significant and positive. All path coefficients in the three

surveys werepositively significant, (β1st=.26; β2nd=.20; β3rd=.24)

at the level of p<.01. Secondly, when event-sponsor fit is

inserted as a mediator, the R2 is increased in the three

surveys (from .15 to .19; from .25 to .28; from .38 to .42).

The effect sizes are all above the threshold level of .02.

Third, the direct effects of event liking on brand

favorability (from β1st=.35 to β1st=.29; from β2nd=.46 to β2nd=.43;

from β3rd=.51 to β3rd=.42) as well as self-sponsor congruity on

sponsor brand favorability (from β1st=.16 to β1st=.01; from

β2nd=.19 to β2nd=.12; fromβ3rd=.26 to β3rd=.21) are all reduced.

Thus, the mediation test results for the three surveys lend

support for H5.

--------- Insert Table 5 here ---------

Using the pooled samples of each brand, the researchers

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proceeded to conduct the same SEM procedure with PLS to test

the mediation hypothesis. As expected, the effect sizes of

mediator - event-sponsor fit are .13 (Starbucks in Table

3), .06 (Taipei Fubon in Table 4) and .07 (Luxgen in Table 5).

These are all above the threshold value of 0.02 (Hair et al.,

2011), indicating the significance of the mediation effect.

All path coefficients in the structured model are significant

at the p<.05 level. Although the results did not show a medium

or high mediation effect, the overall pattern of the data in

the three pooled samples is reliable, thus further supporting

the mediation role of the perceived event-sponsor fit in the

relationships between event linking, self-sponsor congruity

and sponsor brand favorability.

5. Conclusions

5.1 Discussion

Researchers have given increasing and substantial attention

toevent related corporate sponsorships. However, there is an

absence of underlying theoretical foundations about how event

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visitors perceive the congruent relationship between events,

sponsor influence andsponsor brand favorability. The present

study has examined the mediation effect of event-sponsor fit

on the relationship between self-sponsor congruity, event

liking and sponsor brand favorability in the context of Taipei

International Flora Exposition.

The empirical results confirm that self-sponsor congruity

and event liking have both direct and indirect effects on

sponsor brand favorability (Speed & Thompson, 2000; Gwinner&

Bennett, 2008). The indirect effect of event liking through

event-sponsor fit provides an explanation of when event

visitors support this event, enjoy its coverage and have

knowledge of the sponsor brands, they are more capable of

priming the messages that are conveyed of sponsor brands

within the event grounds. This results in stronger perceptions

of a fit between the event and the sponsor brands. The present

study has found that the stronger the fit between this

social/art event and the sponsor brands, the easier it

mayevoke altruistic motives, and transfer positive visitor

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affections from the event to the brand, thereby leading to

higher brand favorability. The indirect effect of self-sponsor

congruity on sponsor brand favorability through perceived

event-sponsor fit confirms that high brand identification

visitors who modify their thinking about an event-brand tend

to be more favorably disposed to preserving positive self-

identify, resulting in higher brand favorability. The results

indicate that this indirect effect on the sponsor brands is

relatively higher than for event liking. This is further

confirmation of the importance of visitor’s sponsor

identification.

This study has advanced and has found support for the

argument that visitors who like an event and who identify with

the brand can more easily prime and consider the event-brand

fit. The better the alignment between perceptions of this

social/art event and sponsor brands, the stronger their

favorabilitytowards the sponsors will be. The paper has

supplemented existing sponsor related research by confirming

the mediating role of event-brand fit between event liking,

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self-brand congruity, and sponsor brand favorability.

5.2 Managerial implications

The study findings suggest that sponsorship and event

managers should understand the sponsor brand favorability and

event liking of their visitors in order to leverage the value

of sponsorship. This particularly concerns theselection of an

event and designing the parallel communications program. In

making sponsorship related decisions, they should firstly not

confine their concernsto exposure (e.g.,number of attendees in

the target market and audience size), but also understand the

image fit between the brand and the event. Secondly, the

sponsor brand manager should select images with which

customers identify. One option is to make use of the internal

customer database to identify those customers who are most

interested in attending the event and make them aware that the

company is sponsoring the event throughfor example advertising

or e-messaging. Furthermore by drawing attention to the bases

that are used of comparison, it has been found that the

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communication activities most likely to enhance positive

customer attitudes towards the brand are those relating to the

event-sponsor fit.

Sponsoring brand managers should allocate additional

resources to opportunities within the event venue that can

heighten customer awareness. In order to yield desirable

effects they should establish a match between the event and

their brand image. In cases where the congruence is relatively

low, managers may wish to adapt their communicationcampaigns

to align with event related activities. Sponsoring firms may

for example enhance event related links throughthe use of

websites,online ads, social media or videos.For sponsoring

organisations seeking to identify suitable sponsors, the

importance of understanding visitor attitudes is evident.

Given that sponsors are aiming to transfer the event image to

their brands, their marketing communications should enhance

visitor self-congruity with the event, Mutual benefits will

arise as a result of choosing sponsors with an image which

resembles and complementsthe event. Event managers who are

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seeking to retain or acquire sponsors may emphasize why and

how the image of the event matches their brand. The notion of

a logical connection or fit can be used to develop a potential

sponsor list when soliciting potential sponsors. Brand

managers and event organizers should invest adequate resources

in developing marketing communication campaigns to enhance

visitor involvement with the sponsoring activities. At the

Flora Expo, art activities such as on-site painting

competitions and flower arranging provide a means of involving

visitors at an emotional level. As a result, an effective

image transfer from the event to the sponsor brands could be

achieved and fulfill the sponsorship related objective.

5.3Limitations and opportunities for further research

This study has a number of limitations. Firstly, the

investigation has only incorporated three out of the thirty-

one sponsor organizations involved in the Flora Expo. It is

suggested that future investigations should extend the scope

of the industry samples. Secondly, the specific context of

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this art/social related event restricts the generalizability

of the reported findings. Future studies may investigate

different types of CSR-related sponsorship to validate the

proposed conceptual framework since customer concerns about

motivations and the nature of CSR sponsorship may lead to

positive attitudestowards thesponsor brand (Barone et al.,

2000). Thirdly, the distribution of respondents was focused

around the 21 to 30 age group. Additional research will be

needed involving subjects emanating from different age/social

groups with a view to providing additional validation for the

research claims. Fourthly, the limited explanatory power of

the structured models in samples exposes the weakness in any

meaningful structural relationships. The reason may be a

neglect of key mediatingvariables (e.g., sponsor credibility

and sincerity) or moderators(e.g., self-motive socialness,

degree of self-enhancement sought) in the conceptual model. On

this basis the model should be subjected to further

validation. Finally, the researchers examined the event-

sponsor congruence after exposure to event stimuli. On this

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basis the researchers assumedthe direction of the image

transfer. It is possible that the image transfer occurs from

the brand to the event rather than from the event to the

brand. Examining the conditions under which the image transfer

from the brand to event represents an interest topic for event

organisers.

In this study, congruence was defined on the basis of a

global image scale. However, operationalization of congruence,

fit, or compatibility has been varied and its

multidimensionality may have been ignored. Future researchers

may investigate the facets of perceived congruence and how

theydisparately affect visitor attitudes toward sponsor

brands. Another area for further study would be to expand this

event-sponsor fit model by examining the influence of

sponsorship on brand attitude change as compared to other

types of event marketing (e.g., sport and charity).

Furthermore, it would be valuable to investigate the effect on

brand attitude when an eventis sponsoredby brands that are in

competition.An additional consideration for future research

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can be explored by distinguishingbetween on-site and off-site

visitors. Some visitors may perceive event-sponsor fit

differently thus impactingon their brand favorability via

divergent media channel. Further research on this issue offers

the prospect of enhancing knowledge about the influence of

different visitors on event and sponsor attitudes.

ReferencesAaker, J.L. (1999). The malleable self: The role of self-expression in persuasion. Journal of Marketing Research, 36(2), 45-57.

Alexandris, K., Douka, S., Bakaloumi, S.,&Tsasousi, E. (2008).The influence of spectators' attitudes on sponsorshipawareness: A study in three different leisure events. ManagingLeisure, 13(1), 1-12.

Barone, M., Miyazaki, A.,& Taylor, K. (2000). The influence ofcause-related marketing on consumer choice: Does one good turndeserve another?.Journal of the Academy of Marketing Science, 28(2), 248-262.

Baron, R. M.,&Kenny D. A. (1986). The moderator-mediatorvariable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal ofPersonality and Social Psychology, 51(6), 1173-1182.

Becker-Olsen, K. L.,& Carolyn, J. S. (2002). When do socialsponsorships enhance or dilute equity? fit, message source,and the persistence of effects. Advances in Consumer Research,29(1), 287–89.

48

1

2

3

4

5

6

7

8910111213141516171819202122232425262728293031

Briñol, P., & Petty, R.E. (2009).Persuasion: insights from theself‐validation hypothesis. Advances in Experimental Social Psychology,41(1), 69-118.

Chin, W.W. (1998).Issues and opinion on structural equationmodeling.MIS Quarterly, 22(1), 7-16.

Close, A.G., Krishen, A.S., &Latour, M.S. (2009). The event isme! How consumer event self-congruity leverages sponsorship.Journal of Advertising Research, 49(3), 271-284.

Clore, G.L.; Wyen Jr., R.S.; Dienes, B.; Gaper, K.; Gohm, C.;& Isbell, L. (2001). Affective feelings as feedback: Somecognitive consequences. InMartin, L. L., &Clore, G. L.(Eds).Theories of mood and cognition: A user's guidebook.(pp27-62),Lawrence Erlbaum Associates:Mahwah, New Jersey.

Clore, G.L., &Huntsinger, J.R. (2007). How emotions informjudgment and regulate thought. Trends in Cognitive Sciences, 11(9),393-399.

Close, A.G.; Krishen, A.S.; Latour, M.S. (2009). This event isme!.Journal of Advertising Research.49(3), 271-284.

Cornwell, T., Humphreys, M., Maguire, A., Weeks, C.,&Tellegen,C. (2006). Sponsorship-linked marketing: The role ofarticulation in memory.Journal of Consumer Research, 33(3), 312-321.

Crimmins, J.,& Horn, M. (1996). Sponsorship: From managementego trip to marketing success. Journal of Advertising Research, 36(4),11-21.

D'Astous, A.,&Bitz, P. (1995).Consumer evaluations ofsponsorship programmes.European Journal of Marketing, 29(12), 6-22.

Dolich, I. J. (1969).Congruence relationship between self-49

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18

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images and product brands. Journal of Marketing Research, 6(1),80-84.

Fiske, S. T. (1982). Schema-triggered affect: Applications tosocial perception. In Clarkand,M. S., &Fiske,S.T. (Ed.)Affect andCognition: The Seventeenth Annual Carnegie Symposium on Cognition(pp.55-76).Hillsdale, NJ: Erlbaum.

Forgas, J.P. (1995). Mood and judgment: The Affect InfusionModel (AIM). Psychological Bulletin, 117(1), 39-66.

Gendolla, G.H. (2000). On the impact of moon on behavior: Anintegrative theory and a review. Review of General Psychology, 4(4),378-408.

Govers, P.,&Schoormans, J. (2005).Product personality and itsinfluence on consumer preference.Journal of Consumer Marketing,22(4), 189-197.

Graeff, T. R. (1996).Using promotional messages to manage theeffects of brand and self-image on brand evaluations. Journal ofConsumer Marketing, 13(3), 4-18.

Gwinner, K., & Bennett, G. (2008). The impact of brandcohesiveness and sport identification on brand fit inasponsorship context. Journal of Sport Management, 22(4), 410-426.

Gwinner, K.,& Eaton, J. (1999). Building brand image throughevent sponsorship: The role of image transfer. Journal ofAdvertising, 28(4), 47-57.

Gwinner, K.,& Swanson, S. (2003). A model of fanidentification: Antecedents and sponsorship outcomes. Journal ofServices Marketing, 17(3), 275-294.

Gwinner, K. (1997).A model of image creation and imagetransfer in event sponsorship.International Marketing Review, 14(3),145-158.

50

1234567891011121314151617181920212223242526272829303132333435363738

Gwinner, K., Larson, V.,& R. Swanson. (2009). Image transferin corporate event sponsorship: Assessing the impact of teamidentification and event-sponsor fit. International Journal ofManagement and Marketing Research, 2(1), 1-15.

Hair, J. E., Ringle, C.M., &Sarstedt, M. (2011). PLS-SEM: Asilver bullet. Journal of Marketing Theory and Practice.19(2), 139-151.

Howard, D.J. & Barry, T.E. (1994).The role of thematiccongruence between a mood-inducing event and an advertisedproduct in determining the effects of mood on brandattitudes.Journal of Consumer Psychology, 3(1), 1-27.

I. E. G. Sponsorship Report. (January 03, 2012). IEG SponsorshipReport.Retrieved from http://www.sponsorship.com.

Johar, G.,& Pham, M. (1999).Relatedness, prominence, andconstructive sponsor identification.Journal of Marketing Research,36(3), 299-312.

Kuhl, J. (2000). A functional-design approach to motivation

and self-regulation: The dynamics of personality systems

interactions. In Boekaerts,M.; Pintrich,P.R.& Zeidner,M.,

Handbook of Self-Regulation, (pp. 111-169). San Diego: Academic

Press.

Koo, G., Quarterman, J.,& Flynn, L. (2006). Effect ofperceived sport event and sponsor image fit on consumers'cognition, affect, and behavioral intentions. Sport MarketingQuarterly, 15(2), 80-90.

Lee, H.,& Cho, C. (2009). The matching effect of brand andsporting event personality: Sponsorship implications. Journal ofSport Management, 23(1), 41-64.

51

12345678910111213

141516171819202122

23

24

25

26

272829303132333435

Lee, M.S., Sandler, D.,&Shani D. (1997). Attitudinalconstructs towards sponsorship: Scale development using threeglobal sporting events. International Marketing Review, 14(3), 159-169.

McDaniel, S. (1999). An investigation of match-up effects insport sponsorship advertising: The implications of consumeradvertising schemas. Psychology and Marketing, 16(2), 163-184.

McDonald, C. (1991).Sponsorship and the image of thesponsor.European Journal of Marketing, 25(11), 31-38.

MCGuire, W.J. (1972). The culture status of cognitiveconsistency theories.In Cohen, J. (Ed.), Behavioral sciencefoundations of consumer behavior (pp. 253-274). New York: Free Press.

Meenaghan, T.,& O'Sullivan, P. (2001).The passionate embrace-consumer response to sponsorship.Psychology and Marketing, 18(2),87-94.

Meenaghan, T. (2001).Understanding SponsorshipEffects.Psychology and Marketing, 18(2), 95-122.

Nunnally, J. C. (1978).Psychometric theory. New York, NY: McGrew-Hill.

Osgood, C.E., &Tannenbaum, P.H. (1955).The principle ofcongruity in the prediction of attitude change.PsychologicalReview, 62(1), 42-45.

Park, C. W., Jaworski, B. J., &MachInnis, D. J.(1986).Strategic brand concept-image management.Journal ofMarketing, 50(4), 135-145.

Rifon, N., Choi, S., Trimble, C., & Li, H. (2004). Congruenceeffects in sponsorship: The mediating role of sponsorcredibility and consumer Attributions of sponsor motive.Journal

52

1234567891011121314151617181920212223242526272829303132333435363738

of Advertising, 33(1), 30-42.

Ringle, C. M., Wende, S., & Will, A. (2005).Smart-PLS 2.0.Hamburg: University of Hamburg.

Robin, A. H., &Lawrence F. F. (1989). Enduring involvement:Conceptual and measurement issues.Advances in Consumer Research,16(1), 690-696.

Roy, D., & Cornwell, T. (2003).Brand equity's influence onresponses to event sponsorships.Journal of Product and BrandManagement, 12(6), 377-393.

Roy, D.,& Cornwell, T. (2004).The effects of consumerknowledge on responses to event sponsorships.Psychology andMarketing, 21(3), 185-207.

Rumelhart, D. E., &Ortony, A. (1977). Schooling and the acquisition ofknowledge. Hillsdale, N. J.: Lawrence Erlbaum Associates.

Samli, A. C., &Sirgy, M. J. (1981). A multi-dimensionalapproach to analyzing store loyalty: A predictive model. InBernhardt, K.,& Kehoe, B. (Ed.)The changing marketing environment: Newtheories and applications (pp. 113-116). Chicago: American MarketingAssociation,

Sirgy, M. J. (1982). Self-concept in consumer behavior: Acritical review. Journal of Consumer Research, 9(3), 287-300.

Sirgy, M. J., Lee, D., Johar, J.,& Tidwell, J. (2007).Effectof self-congruity with sponsorship on brand loyalty.Journal ofBusiness Research, 61(10), 1091-1097.

Speed, R.,& Thompson, P. (2000).Determinants of sportssponsorship response.Journal of the Academy of Marketing Science, 28(2),226-238.

Yang, H., Yang, S.,Isen, A.M. (2013). Positive affect improves53

1234567891011121314151617181920212223242526272829303132333435363738

working memory: Implications for controlled cognitiveprocessing.Cognition & Emotion, 27(3), 474-482.

Yi, Y. (1990).Cognitive and affective priming effects of thecontext for print advertisements.Journal of Advertising, 19(2), 40-18.

Zinkham, G.M.,& Hong, J.W. (1991).Self-concept and advertisingeffectiveness: A conceptual model of congruency,conspicuousness, and response mode, In Holman, R.H.,& Solomon,M.R., (Ed.)Advances in Consumer Research, 18(1), (pp.348-54). Provo,UT.: Association for Consumer Research,

Figure 1.Hypothesized Model

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SponsorBrand

Favorability

H5H1

H3

Event Liking

Self-SponsorCongr

uity

Event-SponsorFit

H4

H2

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Table 1The measurement model validity and reliability ofpooled data

Average VarianceExtracted (AVE)

Composite Reliability (CR)

Starbucks

TaipeiFubon

Luxgen Starbucks TaipeiFubon

Luxgen

EL .62 .71 .68 .89 .91 .89ES .64 .65 .73 .89 .90 .93SS .74 .72 .74 .92 .91 .92BF .82 .85 .88 .93 .94 .96

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Table 2Inter-construct correlations and discriminant validity of pooled dataStarbucks (n=467) Taipei Fubon (n=429) Luxgen (n=429)EL ES SS BF EL ES SS BF EL ES SS BF.83 .80 .86 .92 .84 .85 .81 .92 .82 .86 .86 .94

EL 1 EL 1 EL 1

ES .18* 1 ES .34** 1 ES.33*

*1

SS .27** .10*1

SS -.02 .28**1

SS .05.39*

*1

BF .29*.41*

*.22*

*1 BF .22** .41**

.25**1 BF

.21**

.47**

.29**

1

N o t e s : E L : E v e n t L i k i n g ; E S : P e r c e i v e d E v e n t - S p o n s o r F i t ; S S : S e l f - S p o n s o r C o n g r u i t y ; BF: S p o n s o r b r a n dfavorability; *p<.05, **p<.01

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1

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Table 3 The results of mediation tests fortheStarbucks

SurveyVariabl

esES BF BFa f2

1st

(n=148)

EL.22*

*.22*

*.28*

*.06

ES.22*

*.05

SS .21*.27*

*.32*

*.09

TotalR2 .10 .23 .19

2nd

(n=152)

EL.20*

*.16*

.24**

.03

ES.50*

*.20

SS .20* .09 .18 .00Total

R2 .08 .30 .10

3rd

(n=167)

EL .10*.29*

*.32*

*.03

ES.27*

*.10

SS.32*

*.16*

.25**

.02

TotalR2 .13 .27 .21

Pooleddata(n=467

)

EL .16*.23*

*.28*

*.07

ES.33*

*.13

SS .26* .11* .20* .0158

1

* *Total

R2 .10 .23 .13

Notes: EL: Event Liking; ES: Event-Sponsor Fit; SS: Self-SponsorCongruity; BF: Sponsor brand favorability; *p<.05, **p<.01; a:after controlling mediator variable; all numbers betweenvariables are standardized beta coefficients; f2= effect size.

Table 4 The results of mediation tests for theTaipei Fubon

SurveyVariabl

esES BF BFa f2

1st

(n=141)

EL.20*

*.35*

*.38** .15

ES .13* .01

SS.29*

*.16* .21** .02

TotalR2 .12 .19 .18

2nd

(n=131EL .24*

*.39*

*.47** .22

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1

2

3

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7

8

9

10

11

12

13

14

15

16

17

)

ES.32*

*.14

SS.20*

*.17* .24** .04

TotalR2 .10 .37 .28

3rd

(n=157)

EL.36*

*.47*

*.54** .31

ES .18* .04SS .18* .09 .13* .01

TotalR2 .20 .36 .33

Pooleddata(n=429

)

EL.21*

*.37*

*.42** .18

ES.22*

*.06

SS.25*

*.16* .22* .02

TotalR2 .11 .26 .13

Notes: EL: Event Liking; ES: Event-Sponsor Fit; SS: Self-SponsorCongruity; BF: Sponsor brand favorability;*p<.05, **p<.01; a:after controlling mediator variable, f2= effect size.

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Table 5 The results of mediation tests for theLuxgen

SurveyVariabl

esES BF BFa f2

1st

(n=141)

EL.22*

*.29*

*.35** .10

ES.26*

*.05

SS.40*

*.01 .16* .00

TotalR2 .19 .19 .15

2nd

(n=131)

EL.14*

*.43*

*.46** .26

ES.20*

*.04

SS.32*

*.12 .19* .00

TotalR2 .12 .28 .25

3rd

(n=157)

EL.37*

*.42*

*.51** .26

ES.24*

*.07

SS.23*

*.21*

*.26** .06

TotalR2 .22 .42 .38

Pooleddata(n=429

)

EL.27*

*.40*

*.45** .02

ES .24**

.06

61

1

SS.32*

*.11*

*.26** .01

TotalR2 .18 .31 .26

Notes: EL: Event Liking; ES: Perceived Event-Sponsor Fit; SS:Self-Sponsor Congruity; BF: Sponsor brand favorability; *p<.05,**p<.01; a: after controlling mediator variable. f2= effect size.

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