The Relationships between Sport Spectators’ Experience, Destination Image, Event Image, and Behavioral Intention: The Case of the 18th FINA World Aquatics Championships

Article information

Int J Appl Sports Sci. 2022;34(2):183-202
Publication date (electronic) : 2022 December 31
doi : https://doi.org/10.24985/ijass.2022.34.2.183
aAdjunct Professor, Department of Sport Industry, Hanyang University, Seoul, Korea
bResearch Professor, Institute of Social Science, Catholic Kwandong University, Gangwon-do, Korea
Correspondence: lwy840713@gmail.com
Received 2022 November 14; Revised 2022 December 23; Accepted 2022 December 26.

Abstract

This study aimed to identify sporting event experience factors and examine the structural relationships among experience, destination image, event image, and behavioral intention using data from sport spectators of the 18th FINA World Aquatic Championships in South Korea. The data were collected using a face-to-face questionnaire-based survey with 329 randomly selected sport spectators aged over 20 years. Factor analysis, reliability, validity, a correlation analysis, and a structural equation modeling analysis were employed utilizing SPSS 22.0 and AMOS 22.0. The results indicate that entertainment, esthetics, and escapism in sporting event experiences enhance destination image and event image. Further, destination image and event image are strong predictors of behavioral intention. The results indicate that local governments and event organizers should provide spectators with a creative sporting event environment with a wide array of potential experiences.

Introduction

International sporting events are brief occurrences which attract a lot of publicity (Carey et al., 2011); they are attractive to many individuals and hold specific import (Roche, 2000). Historically, such large-scale sporting events have been regarded to improve the appeal of their location as a tourist destination, but more fundamentally they have formed major marketing opportunities pertinent to the destination within a climate where the global competition to encourage tourists’ spending is becoming more intense (Getz & Page, 2016). In particular, major sporting events in local cities have been utilized as a powerful agent to enhance the values of destination brand (Min & Lee, 2019; Oshimi & Harada, 2019). It is believed that a local government can have tangible and intangible benefits from hosting an international sporting event; a positive image can be constructed for a host city which can raise its profile on the tourism marketplace (Jeong et al., 2019). Moreover, these events can promote the regional economy by generating new employment opportunities and infrastructural development (Boonsiritomachai & Phonthanukitithaworn, 2019). Although some academics have argued that major sporting events may not always present the destination in a positive light or revitalize the local economy (Badde & Matheson, 2016), many empirical studies have suggested that these events increase the brand value of a host city and contribute to the influx of tourists in the mid to long term by making their experiences unforgettable (Jeong et al., 2020; Kim et al., 2014).

Given the above, international sporting events have acquired renewed importance and played a significant role in the tourism industry (Gibson et al., 2008). Many regional administrations continue to compete for the opportunity to host such occasions (Walters, 2008). However, the services generated by the host cities are becoming homogeneous and equalized overall as there are currently a plethora of international sporting events being offered by local governments. Thus, sporting events should add values to the city’s offerings and provide visitors with a more unique and satisfactory experience that engages them on emotional, physical, intellectual, and spiritual fronts; these aspects should be combined to create a complete tourist experience (Getz, 2008; Pine & Gilmore, 2013). From this perspective, the experience can be considered to possess a new worth and form the focal point of tourists’ loyalty to their destination in the contemporary sport tourism industry (Jeong & Kim, 2019).

Positive experience is an untapped source for differentiation of a service provider’s offerings (Pine & Gilmore, 2013), creating unforgettable images, stimulating senses, reaching out to hearts, and activating thought processes (Song et al., 2015). As the impact of the experience is highlighted, scholars are actively investigating the solid connection between the unique nature of experiences and their ability to be utilized as a marketing or branding tool, particularly with respect to tourism and event field, which demonstrates strong experiential features (Richards, 2019), such as an atmosphere of entertainment and unusual ambiance different from daily routine (Mourão et al., 2022). Scholars are progressively emphasizing that elements pertinent to the experience economy, including entertainment, education, esthetics, and escapism, have formed an essential component of comprehending consumer behavior in the tourism and event sector. Studies have been conducted within a resort (Zaki & Abuzied, 2017), a museum (Radder & Han, 2015; Tang & Qiu, 2015), a theme park (Lee et al., 2020), baseball games (Kwon & Kim, 2018), and a festival (Yazıcı et al., 2017). Nevertheless, there is a dearth of empirical studies which have been performed in order to identify the structural dimensions of sport tourists’ experience and to investigate the relationships between experience, destination image, satisfaction, and consumer behavior within the context of international sporting events.

In light of this, the 18th FINA World Aquatics Championships, organized by Gwangju, a metropolis in South Korea, can represent an excellent case in terms of the experience economy approach, with the implementation of sporting competitions, various cultural programs, and art festivals. The aim of the current research is therefore to: (1) recognize the key elements of experience and their significance as perceived by sport tourists; and (2) to investigate the relationships between experience, destination image, event image, and behavioral intention, with particular reference to the 18th FINA World Aquatics Championships.

Literature Review and Hypothesis Development

18th FINA World Aquatics Championships

Governed by the Fédération Internationale de Natation (FINA, International Swimming Federation), World Aquatics Championships take place every two years in six aquatic sports: swimming, water polo, diving, artistic swimming, open water swimming and high diving. Following the 2018 PyeongChang Winter Olympics, the 18th FINA World Aquatics Championships, one of the world’s mega sporting events, took place in Gwangju, South Korea, for 17 days from July 12 to 28, 2019, during which 2,538 athletes from 194 countries competed for 76 gold medals (Bae, 2019). To accommodate a larger audience, the capacity of the international swimming pool in Nambu University, which was the main stadium for swimming and diving, was expanded from 3,393 to 10,648 seats. The operating facilities were also increased from 3,886 m2 to 8,797 m2, which greatly enhanced convenience for spectators. Moreover, humanoid robots equipped with touchscreens guided visitors to the venues by providing information about the events and athletes (Gwangju Organizing Committee, 2019). Besides the sporting events at the FINA World Championships, Gwangju held various cultural events for 31 days before and after the competition. In addition, a number of assiduously planned traditional and arts programs were administrated and instigated, such as Korean musical recitals, folk games, customary cultural events pertaining to the competing countries, and kimchi making and tasting opportunities (Gwangju Organizing Committee, 2019).

Experience Economy and Measurement Tools

Many consumers spend time and money on experiences (Chen et al., 2012). In the field of consumer behavior, marketing experience (formed by the five senses of taste, sight, smell, hearing, and touch) refers to the consumer’s response to the stimuli provided by an event (Pine & Gilmore, 1999; Schmitt, 1999). While research on consumer behavior previously focused on product utility, it now additionally examines the value of the desired products and services to consumers as well as the extent to which providers offer a unique, memorable experience. Pine & Gilmore(1999)’s experience economy theory classifies experiences into four dimensions (termed the 4Es) according to the level of individual participation (passive and active) and relationship with the environment (absorption and immersion): entertainment, education, esthetics, and escapism. Consumers within entertainment experiences ‘sense’, within educational experiences ‘learn’, within escapist experiences ‘do’, and individuals within esthetic experiences want to ‘be’ in an attractive environment (Jeong et al., 2009).

Entertainment is among the oldest and most developed forms of experience (Hosany & Witham, 2010; Pine & Gilmore, 1999). It is passive because consumers participate indirectly (i.e., by viewing the events rather than by participating in them at the destination). Moreover, it is classified under absorption because the environmental level for consumers to immerse themselves is low (Oh et al., 2007). Spectators obtain a sensory experience by watching a baseball game, observing a parade, or listening to a concert and, accordingly, experience a sense of pleasure or enjoyment. Similar to entertainment, education is in an area of low environmental absorption. However, it involves active participation. People who desire interaction and experiential products through the active participation of the mind and body want to learn through consumption (Oh et al., 2007). For example, tourists in cultural heritage festivals can attend a traditional music/dance class and share a passion for learning about culture. Esthetic experience refers to the enjoyment of being present at the location and immersing oneself in the environment. The level of participation is somewhat passive, as participants remain in a deeply immersed state without changing or influencing the environment (Pine & Gilmore, 1999). This involves perception through the visual, auditory, and olfactory senses provided by the environment (Bitner, 1992). Finally, escapism is among the most frequently used motivations in tourism (Prentice, 2004); it involves active participation in experiential activities and refers to a state of complete immersion in the environment (Pine & Gilmore, 1999). Consumers with a high desire for escapist experiences actively seek places and activities in which to invest their time (Pine & Gilmore, 1999). Further, because tourism provides the time and space for people to escape their normal lives and temporarily enjoy unique experiences (Oh et al., 2007), escaping from daily life is the most important dimension of the tourism experience (Crompton, 1979; Iso-Ahola, 1982).

Experience does not include one of these four dimensions. Instead, all dimensions have distinct degrees of emphasis, where one dimension may be emphasized more than the others are. Therefore, the key factor is to explore different experience factors and develop distinctive factors as catalysts for eliciting others (Mehmetoglu & Engen, 2011) to ultimately find the sweet spot, as illustrated in Figure 1.

Figure 1

Four realms of experience

Since Pine & Gilmore (1998, 1999) provided their theoretical framework for measuring experience using the four dimensions of experience economy theory, scholars in the tourism and service field have presented valid and reliable tools to assess consumers’ experience elements. For instance, Oh et al. (2007) developed the first measurement tool in tourism based on this theory. They extracted four items for each of the four dimensions of entertainment, education, esthetics, and escapism, resulting in 16 items. Researchers in the tourism and sports fields have since conducted numerous studies to measure experience factors using the questionnaire devised by Oh et al. (2007) (e.g., Hwang & Han, 2018; Park et al., 2010; Radder & Han, 2015; Song et al., 2015; Yazici et al., 2017).

In the current research, the four described dimensions of Oh et al. (2007) were applied to the context of the 18th FINA World Aquatics Championships. Sport spectators primarily experience entertainment in the form of watching skilled athletes from all over the world compete and perform. They can also participate in a range of cultural events, interact with each other, cheer for their favorite players and countries, and get away from daily routines, thus engaging in escapist experience. Moreover, spectators can enjoy esthetic experience by immersing themselves in the atmosphere of the iconic arena and the art of the competitions, such as the dynamic motions of athletes in a 27m high diving competition and the strikingly acrobatic moves above the water in an artistic swimming competition. In addition, they obtain educational experiences by examining the techniques of athletes and processing information on the athletes, countries, and history of swimming provided by the event organizers.

Relationship between Experience and Destination Image

Many studies have adopted the term “image” in relation to a destination (Baloglu & McCleary, 1999; Echtner & Ritchie, 2003). Crompton (1979) defined destination image as the assemblage of tourists’ knowledge, beliefs, and impressions on a destination, whereas Gibson et al. (2008) defined it as a mental picture that tourists hold regarding a destination. Despite the fact that the involved properties of destination image mean that it is extremely difficult to quantify its distinct nature with respect to a particular location (Boo et al., 2009), it is broadly believed that in general, destination image is impacted by both cognitive and emotive assessments of any entity or location (Baloglu & Mangaloglu, 2001; Greaves & Skinner, 2010; Hosany et al., 2006). Accordingly, numerous studies have concentrated on recognizing destination image with reference to the cognitive-affective image theory (Baloglu & McCleary, 1999; Frias et al., 2008; Hosany et al., 2006; Lee et al., 2014). The result has been the development of scales that apply to the context of sporting events, including several aspects such as infrastructure, attraction, and value for money (Byon & Zhang, 2010).

There is a general consensus that destination image is dynamic rather than static in nature, changing over time and place, and with the potential to alter within the various stages of tourists’ experience (Lee et al., 2014; Smith et al., 2015; Stylidis & Cherifi, 2018). Many different information sources or agents contribute to the formation of the image pertaining to these disparate components, which encompass advertising strategies generated by the destination, independent data distributors, e.g., magazines, news sources, verbal referral and digital platforms such as YouTube and Instagram (Tasci & Gartner, 2007). Nevertheless, when actually present within a destination, visitors obtain new, real-time, and supplementary information regarding the destination that is frequently of a greater potency than the indirect data they obtained before they arrived (Li et al., 2021).

Scholars have explored the relationship between experience and destination image, consistently suggesting that experience factors are essential for the construction of destination image. Where visitors have a distinctive and memorable time in a destination, e.g., observing a thrilling parade, appreciating the standard of sanitation or safety, finding the generosity of the local people emotive or observing beautiful scenery, they have a greater chance to create a favorable image of destination. Su et al. (2020) examined relationships among heritage travel motivation, tourist engagement, tourists experience, heritage destination image and satisfaction at Hoi An, a UNESCO World Heritage Site in Vietnam, and proposed positive tourists’ experiences are a direct antecedent of destination image and that destination administrators should endeavor to generate memorable experiences in order to induce optimate image of heritage site. Utilizing a conceptual model which illustrated relationships between food experience, place attachment and destination image, Hsu & Scott (2020) reported that in visitors to Macau, the greater the positivity associated with the food experience, the better the destination image. They proposed that any destination wishing to intensify their emotive relationship with visitors should improve the aspect of the experience. Li et al. (2021) carried out an empirical study on relationships among experiences, post-trip destination image, satisfaction, and loyalty in relation to ecotourism, and revealed that acting, fun learning, and emotive experiences had an influence on attribute-based and holistic destination image. In view of earlier studies, this research proposes the following hypotheses:

  • H1: Experience has a positive effect on destination image.

  • H1a: Entertainment has a positive effect on destination image.

  • H1b: Education has a positive effect on destination image.

  • H1c: Esthetics has a positive effect on destination image.

  • H1d: Escapism has a positive effect on destination image.

Relationship between Experience and Event Image

The concept of event image is generally considered to be based on the same theoretical foundation as destination image, because a destination hosts a sporting event to attract sport tourists (Hallmann et al., 2010). Nevertheless, event image has received less attention in tourism and sport literature than destination image, and there is currently few well-acknowledged definition or measurement tool for event image (Deng et al., 2015). Gwinner (1997)’s definition of event image is the most frequently referred. According to Gwinner (1997, p. 147), event image is defined as “the cumulative interpretation of meanings or associations attributed to events by consumers”. Furthermore, following Gwinner (1997)’s view of event image, Kaplanidou & Vogt (2007, p. 5) also defined event image as “the mental representations active sport tourism participants have about the organization, environment, physical activity, socialization, fulfilment and emotional involvement with the event” from the perspective of sport tourism. In this regard, Deng et al. (2015) developed a measurement scale for event image, which included five dimensions such as benefit, facility, service, theme, and event content. Deng et al. (2015) suggested benefit was the most important aspect of the event image along with facilities, service, event content, and event theme.

Park & Lee (2018) revealed that festival experiences positively affect festival image to the regional festival in South Korea. Girish & Lee (2019) examined the relationship between the experience factors and event image in Jeju International Ultramarathon race and argued that the cognitive involvement and physiological activities positively influence event image. Thus, in this study, the following research hypotheses are formulated.

  • H2: Experience has a positive effect on event image.

  • H2a: Entertainment has a positive effect on event image.

  • H2b: Education has a positive effect on event image.

  • H2c: Esthetics has a positive effect on event image.

  • H2d: Escapism has a positive effect on event image.

Relationship between Destination Image and Behavioral Intention

In the service and marketing fields, behavioral intention is defined as the customer’s willingness and belief to perform a specific future behavior after forming an attitude about a product or service. It is classified into repurchase, revisit, recommendation, and positive word of mouth (Boulding et al., 1993; Fishbein & Ajzen, 1975; Shoemaker & Lewis, 1999). The behavioral intention of spectators at an international sporting event is defined as revisiting other sporting events held in the host city, revisiting the host city, recommending others to visit the host city, or attending sporting events and providing positive opinions about the host city or sporting events (Min & Lee, 2019).

The determinants of behavioral intention are a topic frequently explored in sport tourism and event research, as behavioral intention has been regarded as the decisive factor in the dramatic growth in the popularity of a destination (Jeong et al., 2019). The antecedents of behavioral intention have therefore been the subject of much investigation; one of the most significant factors recognized is destination image (Li et al., 2021; Piramanayagam et al., 2020). This can be appreciated in a straightforward manner as the destination in which tourists opt to invest both financially and with respect to time; they may make the choice to return to somewhere that they have been to before or to explore a new place. Destination marketers and event organizations consider that the way in which tourists view destination image is essential as it is well-established that this can have a large influence on the selection of the sport tourist’s destination (Pike et al., 2018). Furthermore, destination image is reported having an impact on the positive purchasing intention (Allameh et al., 2015; Chen & Phou, 2013; Hallmann et al., 2015; Prayag et al., 2017), steering individuals in a positive manner in the direction of tourism goods and amenities (De Nisco et al., 2015).

In an empirical study of marine sports tourism in Iran, Allameh et al. (2015) tested a theoretical model containing destination image, perceived quality, perceived value, satisfaction, and sport tourists’ loyalty. It was noted that destination image perceived by tourists affects behavioral intention. Similar relations were reported by Hallmann et al. (2015) in their model of destination image on behavioral intention to revisit the destination in relation to winter sport venues; they proposed that interesting sporting events should be established for tourists in order to enhance the destination image and thus promote behavioral intention. Jeong & Kim (2019) also investigated the influence of a destination image on behavioral intention among 311 sport tourists in an international marathon event and presented evidence that the relationship between destination image and behavioral intention is significantly positive. Another study conducted by Akroush et al. (2016) in the tourism industry provided supportive evidence that destination image has a positive relationship with behavioral intention. Based on the empirical perspectives described in the previous studies, the hypothesis below is suggested:

  • H3: Destination image has a positive effect on behavioral intention.

Relationship between Event Image and Behavioral Intention

Event image is also essential for predicting future behaviors such as repurchase, revisit, and recommendations to others (Chen & Funk, 2010; Ko et al., 2014; Li et al, 2020). Sport spectators’ positive event evaluation will increase their interests in the host region, which will lead to their intention to revisit the destination. Various studies have reported that event image is an antecedent of behavioral intention and has a positive impact (Chen & Funk, 2010; Li et al., 2020; Walker et al., 2013). Thus, in this study, the following research hypothesis is formulated.

  • H4: Event image has a positive effect on behavioral intention.

Based on the above hypotheses, Figure 2 illustrates the proposed research model.

Figure 2

Proposed hypothetical model

Materials and Methods

Data Collection

In this study, convenience sampling, a non-probability sampling method, was employed to select 346 spectators at the stadium and near the ticket office from July 15 to 27, 2019. It was intended that only sport spectators from other regions participated in this study, and locals were excluded by asking respondents whether they currently live in the host city or not.

Two research assistants who were trained for the survey explained its purpose and content to spectators through face-to-face interviews, after which the participants completed the questionnaires. The study eliminated samples with at least 10% of the questions unanswered or with insincere or unreliable responses. Consequently, 329 responses were retained for the analyses. Of these 329 responses, 50.2% were from women. The most common age group was the 30s (35.3%), followed by those in their 20s, 40s, and 50s (28.6%, 18.6%, and 8.8%, respectively). In terms of occupation, office workers comprised the largest group (108, 35.9%), followed by self-employed (16.4%), students (12.2%), and professional (10.6%). Participants with more than 8,000 USD of monthly household income comprised the largest group at 17.0%. Table 1 presents the characteristics of the study participants.

Sample characteristics (N = 329)

Instruments

In this study, a structured questionnaire based on reliable and valid items from previous studies was employed. First, to measure the event experience factors, questionnaires from prior studies (Hosany & Witham, 2010; Oh et al., 2007; Quadri-Felitti & Fiore, 2013) were revised and supplemented to form the items for entertainment (four questions), education (four questions), esthetics (four questions), and escapism (four questions), resulting in 16 questions. Destination image and event image were measured using three items each, in accordance with Byon & Zhang (2010) and Deng et al. (2015). In addition, four items were adopted to measure behavioral intention based on Zeithaml et al. (1996)’s study. The survey questions were measured using a seven-point Likert scale (1 = strongly disagree, 7 = strongly agree). The content validity, compositional suitability, and applicability of the questionnaire items as well as the questionnaire structure were reviewed by a panel of three professors and three doctoral students in sports marketing and tourism.

Data Analysis

The data from the questionnaires were coded and analyzed according to the purpose of the study. First, the study performed a frequency analysis using SPSS 22.0 to derive the demographic characteristics of the participants. It also conducted a reliability analysis to verify the validity of the survey tools. A Cronbach’s á of at least .7 was applied as the threshold (Nunnally & Bernstein, 1994).

Subsequently, a confirmatory factor analysis using AMOS 22.0 was conducted to verify the model fit of the collected data as well as the convergent validity. Some scholars recommend using at least one index to verify the model fit (Hair et al., 2010). In this study, the widely used goodness-of-fit index was employed. For the chi-squared statistics divided by the degrees of freedom ratio (CMIN/df), a criterion of 3 or less is generally employed (Kline, 1998). However, as the values are sensitive to sample sizes of 200 or more, Wheaton (1987) suggested using a criterion of 5 or less. According to Wheaton (1987), a criterion of 5 or less is used for CMIN/df, in addition to .9 or more for the comparative fit index (CFI), .9 or more for the Tucker–Lewis Index (TLI), .10 or less for the root mean square error of approximation (RMSEA), and .08 or less for the standardized root mean square residual (SRMR) (Bentler, 1990; Hu & Bentler, 1999; Shevlin & Miles, 1998). Finally, to identify the effects of the experience factors of the spectators of the FINA World Championships on destination image and event image as well as the effects of destination image and event image on behavioral intention, we employed structural equation modeling (SEM) using AMOS 22.0. The statistical significance level was set to p < .05.

Results

Reliability and Validity

The confirmatory factor analysis regarding the fit of the measurement model is CMIN = 891.469, df = 276, CMIN/df = 3.230, CFI = .934, TLI = .922, RMSEA = .082, and SRMR = .051, meeting the goodness-of-fit criteria. Average variance extracted (AVE) and composite reliability (CR) were used to verify convergent validity (Fornell & Larcker, 1981). As shown in Table 2, AVE ranged from .534 to .839 and construct reliability from .821 to .940, thus meeting the criteria of AVE > .5 and CR > .7 and confirming construct validity. All the dimensions satisfied the reliability criterion of .7 or higher, securing internal consistency.

Results of the measurement model

Construct Intercorrelations

A correlation analysis was performed to identify the correlation between the factors set in this study. As shown in Table 3, the factors demonstrated a static correlation at a statistically significant level (p < .001). Furthermore, all the correlation coefficients were less than .85, thus confirming discriminant validity (Kline, 1998).

Correlations of the variables and discriminant validity

Hypotheses Testing

According to the model fit evaluation to verify the fit of the structural model set in this study, CMIN = 936.438, df = 257, CMIN/df = 3.644, CFI = .921, TLI = .908, RMSEA = .089, and SRMR = .072; all the indices satisfied the goodness-of-fit criteria. Thus, the study hypotheses and model can explain the data adequately, and it is reasonable to interpret them empirically.

Table 4 and Figure 2 present the results of the SEM analysis of the research model. First, for H1, the three dimensions of entertainment (H1a), esthetics (H1c), and escapism (H1d) showed a significant positive effect on destination image. The entertainment experience showed the highest path coefficient of .589 (t value = 7.668, p = .000), followed by escapism (path coefficient = .207, t value = 2.537, p = .011) and esthetics (path coefficient = .148, t value = 1.999, p = .046). Education was rejected with a path coefficient of −.030, t value of −.663, and p value of .507. Second, for H2, entertainment (H2a) was supported with a path coefficient of .541, t value of 6.235, and p value of .000 as well as escapism (H2d) with a path coefficient of .321, t value of 2.584, and p value of .010 and esthetics (H2c) with a path coefficient of .145, t value of 2.162, and p value of .031. However, education (H2b) was rejected with path coefficients of .078, t values of 1.513, and p values of .130. Third, for H3, the path coefficient = .345, t value = 7.871, and p = .000; thus, it was supported. Fourth, for H4, the path coefficient = .774, t value = 18.271, and p = .000; thus, it was supported.

Results of the hypothesis testing

Figure 3

Results of the structural equation modeling analysis

Discussion and Conclusion

In response to a recent call for tourism researchers to develop integrative models using tourists’ experience (Li et al., 2021; Yazıcı et al., 2017), this research explored sport tourists’ experience and investigated the structural relationships among experience, event image, destination image, and behavioral intention within the context of an international sporting event by applying the experience economy framework and its four dimensions (Pine & Gilmore, 1999).

First, among the sporting event experience factors, entertainment, esthetics, and escapism showed a positive impact on destination image. Entertainment, esthetics, and escapism also had a significant positive influence on event images. However, the results indicate that education had a significant impact on neither destination image nor event image. The findings are consistent with those of previous studies in sporting event contexts (Kim & Kim, 2017; Kwon & Kim, 2018) as well as in other fields of leisure and tourism (Hosany & Witham, 2010; Kim & In, 2014; Radder & Han, 2015). Despite its suggested importance in literature (Baloglu & McCleary, 1999; Beerli & Martin, 2004) and the nature of cultural programs, educational experience does not have any statistically significant influence on destination image and event image, which is most likely due to contents and quality. Most of cultural programs in FINA World Aquatics Championships were rather one-off event, without systematic educational approach or framework. Furthermore, this result could reflect an international sporting event-specific contingency in the sample examined in this study. Similar to Mehmetoglu & Engen (2011)’s argument, this research demonstrates that experiences need to be generated and staged in relation to their settings.

More specifically, the findings of this study provide strong support for the notion that entertainment dimension is the most powerful determinants of the outcome variables such as destination image and event image in an international sporting event. Considering that the essential characteristic of sports is experience, it is important to provide sports consumers with unique experiences of enjoyment. Entertainment in sporting events refers to sports consumers’ feelings of pleasure and engagement in playful activities including the excitement and beauty of the game and dramatic scenes that sports deliver (Unger & Keman, 1983). Spectators become focused while watching a competition akin to them immersing themselves in the dramatic scenes. Meanwhile, sports fans find enjoyment when they cheer for the same athletes or teams and feel united by actively creating a unique stadium atmosphere. They can also be entertained by visual guides using AI robots or drones, virtual reality activities, as well as food and refreshments. In other words, entertainment is incorporated into all the products and services that can provide spectators with enjoyment. It is therefore crucial to stage memorable experiences for sports consumers by intensively promoting marketing strategies and using such entertainment experience elements.

Escapism is also important, as actively cheering and immersing oneself into the game is consistent with the escapism criteria presented by Pine & Gilmore (1999). Holbrook & Hirschman (1982) argued that sporting event spectators fantasize about being part of the game when they are absorbed in the action. That is, sports consumers who feel a strong connection with the team or players tend to engage their emotions with the athletes or game, vicariously satisfying their suppressed desires (Spinda, 2011). The international sporting event thus allows a spectator to exist as himself/herself in the stadium in contrast to his/her real life, as it provides the time and space to escape daily routine through delight, enjoyment, and emotion. Thus, the escapism of sporting events is a key element of experiential marketing.

Esthetic experience involves spectators’ appreciation of the elegance and beauty of the sport itself (Madrigal, 2006). The grand scale of the stadiums at the Olympics and FIFA World Cup, for example, offers an esthetic experience in terms of the physical environment. Furthermore, the outstanding performance and physical charm of the athletes provide unique memories for sports consumers. Therefore, while beautiful stadiums and comfortable seating are important, creating a better environment enhances the esthetic experience, which allows players to perform their best and sports consumers to concentrate on the remarkable skills of the athletes. Yazıcı et al. (2017) supported the results of this study, which festival participants with inauthentic, alienated, and routine daily lives occasionally wanted to escape or disconnect in search of a unique experience, thereby satisfying their travel experience.

Despite its suggested importance (Baloglu & McCleary, 1999; Beerli & Martin, 2004) and the nature of cultural programs, educational experience does not have any statistically significant influence on destination image and satisfaction, which is most likely due to contents and quality. Most of cultural programs in the FINA World Aquatics Championships were rather one-off event, without systematic educational approach or framework. Furthermore, this result could reflect an international sporting event-specific contingency in the sample examined in this study. Similar to Mehmetoglu & Engen (2011)’s argument, this research demonstrates that experiences need to be generated and staged in relation to their settings.

Second, this study demonstrated that destination image and event image have a significantly positive effect on behavioral intention. This finding is in agreement with those of previous studies that found that image and behavioral intention are related constructs and that image significantly affects behavioral intention in the context of sporting events (Allameh et al., 2015; Chen & Funk, 2010; Kaplanidou & Vogt, 2007; Kim et al., 2016; Li et al., 2020; Liu, 2013; Moon et al., 2013; Walker et al., 2013). In addition, Kim et al. (2016) revealed that the image of the host city, including its infrastructure, attraction, value, and interest, affects revisit intention and willingness to recommend a destination during the Formula 1 Chinese Grand Prix, which is consistent with the findings of this study. Moreover, Moon et al. (2013) noted that spectators’ cognitive and emotional images of the destination during the 2009 Tour de Korea encouraged them to share positive feedback about the host cities with others, similar to the results in this study. Li et al. (2020) argued that event image is a strong antecedent of the behavioral intention of visitors of beer festival. Similarly, Joo & Lee (2019) found a close relationship between event image and behavioral intention in professional golf tour.

This study provides useful practical implications for local governments and event organizers. The consumption of leisure activities is experiential in nature, and it involves absorbing the symbolic meanings associated with the more subjective characteristics of sports consumers (Madrigal, 2006). Thus, it is natural that the experience factors of sporting events are investigated using Pine & Gilmore (1999)’s model, which provides a useful framework for helping researchers and practitioners comprehend sports consumers’ preferences. This is because the experience dimensions have significant effects on destination image and event image, which in turn drive behavioral intention. Local governments and major sporting event organizing committees would thus benefit from identifying the experience factors affecting spectators’ behaviors and establishing differentiated marketing strategies.

The presented findings imply that organizers should provide spectators with not only high-quality services, high-skills and performance, and well-designed stadiums but also a creative sporting event environment in which all types of experiences can occur. This can encourage spectators to participate in an event actively as actors, by chanting, singing, and interacting to create a unique atmosphere (Woratschek et al., 2014). Practitioners should also offer visitors enjoyable programs such as photoshoots and signing events with famous athletes, cultural exhibitions, musical performances, and children’s activities to generate unique and memorable experiences. However, these results should not be interpreted to indicate that organizations can ignore the quality of a sporting event (Ko et al., 2011); up-to-date event information, high-quality concessions, and easy-to-read signage still influence spectators’ images to destination and event, and therefore contribute to revisit intention (Joo & Lee, 2019; Park & Lee, 2018).

In addition, it is not surprising that destination image and event image markedly affected spectators’ revisit intention. The attractiveness of the destination and the event must be enhanced by promoting it and communicating with visitors not only during sporting events but also before and after. Various media promotion strategies incorporating social media such as YouTube and Facebook can be adopted to swiftly disseminate information on the progress of stadium construction, status of the host region, and results of competitions or information on prominent athletes. Meanwhile, as the international sporting event is linked to the region, it is also vital to provide various experience factors to spectators through cultural tourism programs alongside the sports events. Improving destination image and event image can significantly affect local tourism.

Despite the importance of the findings, this study has its limitations. The majority of the participants in this study were sport tourists and therefore had not enough time to fill the survey. The shortage of time may have impacted the quality and authenticity of responses. Second, although the sample size of the research was sufficient, this study was limited to a single sporting event in South Korea. Future research should increase the scope of the research. Finally, this study sought to explore the dimensions of spectators’ experience using an existing measurement tool based on experience economy theory. It would thus be meaningful to develop additional items to identify and assess other facets of sporting event experience and test the relationship with spectators’ behavioral intention further.

References

Akroush M. N., Jraisat L. E., Kurdieh D. J., AL-Faouri R. N., Qatu L. T.. 2016;Tourism service quality and destination loyalty-the mediating role of destination image from international tourists’ perspectives. Tourism Review 71(1):18–44.
Allameh S. M., Khazaei Pool J., Jaberi A., Salehzadeh R., Asadi H.. 2015;Factors influencing sport tourists’ revisit intentions: The role and effect of destination image, perceived quality, perceived value and satisfaction. Asia Pacific Journal of Marketing and Logistics 27(2):191–207.
Baade R. A., Matheson V. A.. 2016;Going for the gold: The economics of the Olympics. Journal of Economic Perspectives 30(2):201–218.
Bae J. N.. 2019;The first and largest ever aquatics competition…limitation in the national festival. Yonhap News https://www.yna.co.kr/view/AKR20190727054800007.
Baloglu S., Mangaloglu M.. 2001;Tourism destination images of Turkey, Egypt, Greece, and Italy as perceived by US-based tour operators and travel agents. Tourism Management 22(1):1–9.
Baloglu S., McCleary K. W.. 1999;A model of destination image formation. Annals of Tourism Research 26(4):868–897.
Beerli A., Martin J. D.. 2004;Factors influencing destination image. Annals of Tourism Research 31(3):657–681.
Bentler P. M.. 1990;Comparative fit indexes in structural models. Psychological Bulletin 107(2):238–246.
Bitner M.. 1992;Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing 56(2):57–71.
Boo S., Busser J., Baloglu S.. 2009;A model of customer-based brand equity and its application to multiple destinations. Tourism Management 30(2):219–231.
Boulding W., Kalra A., Staelin R., Zeithaml V. A.. 1993;A dynamic process model of service quality: From expectations to behavioral intentions. Journal of Marketing Research 30(1):7–27.
Boonsiritomachai W., Phonthanukitithaworn C.. 2019. Residents’ support for sports events tourism development in Beach City: The role of community’s participation and tourism impacts. Sage Open 9(2)p. 2158244019843417..
Byon K. K., Zhang J. J.. 2010;Development of a scale measuring destination image. Marketing Intelligence & Planning 28(4):508–532.
Carey M., Mason D. S., Misener L.. 2011;Social responsibility and the competitive bid process for major sporting events. Journal of Sport and Social Issues 35(3):246–263.
Chen N., Funk D. C.. 2010;Exploring destination image, experience and revisit intention: A comparison of sport and non-sport tourist perceptions. Journal of Sport & Tourism 15(3):239–259.
Chen C. C., Chen P. K., Huang C. E.. 2012;Brands and consumer behavior. Social Behavior and Personality 40(1):105–114.
Chen C. F., Phou S.. 2013;A closer look at destination: Image, personality, relationship and loyalty. Tourism Management 36:269–278.
Crompton J. L.. 1979;Motivations for pleasure vacation. Annals of Tourism Research 6(4):408–424.
De Nisco A, Mainolfi G, Marino V, Napolitano MR. 2015;Tourism satisfaction effect on general country image, destination image, and post-visit intentions. Journal of Vacation Marketing 21(4):305–317.
Deng C. Q., Li M., Shen H.. 2015;Developing a measurement scale for event image. Journal of Hospitality & Tourism Research 39(2):245–270.
Echtner C. M., Ritchie J. R.. 2003;The meaning and measurement of destination image. Journal of Tourism Studies 14(1):37–48.
Fakeye P. C., Crompton J. L.. 1991;Image differences between prospective, first-time, and repeat visitors to the Lower Rio Grande Valley. Journal of Travel Research 30(2):10–16.
Fishbein M., Ajzen I.. 1975. Belief, attitude, intention, and behavior: An introduction to theory and research Addison-Wesley.
Fornell C., Larcker D. F.. 1981;Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research 18(3):382–388.
Frias D. M., Rodrìguez M. A., Castañeda J. A.. 2008;Internet vs. travel agencies on pre-visit destination image formation: An information processing view. Tourism Management 29(1):163–179.
Getz D.. 2008;Event tourism: Definition, evolution, and research. Tourism Management 29(3):403–428.
Getz D., Page S. J.. 2016;Progress and prospects for event tourism research. Tourism Management 52:593–631.
Gibson H. J., Qi C. X., Zhang J. J.. 2008;Destination image and intent to visit China and the 2008 Beijing Olympic Games. Journal of Sport Management 22(4):427–450.
Girish V. G., Lee C. K.. 2019;The relationships of brand experience, sports event image and loyalty: Case of Jeju International Ultramarathon Race. International Journal of Sports Marketing and Sponsorship 20(4):567–582.
Greaves N., Skinner H.. 2010;The importance of destination image analysis to UK rural tourism. Marketing Intelligence & Planning 28(4):486–507.
Gwangju Organizing Committee. 2019. FINA Official White Book https://policy.nl.go.kr/search/searchDetail.do?rec_key=UH1_00000131317795 .
Gwinner K.. 1997;A model of image creation and image transfer in event sponsorship. International Marketing Review 14(3):145–158.
Hair J. F., Anderson R. E., Babin B. J., Black W. C.. 2010. Multivariate data analysis: A global perspective 7Pearson..
Hallmann K., Kaplanidou K., Breuer C.. 2010;Event image perceptions among active and passive sports tourists at marathon races. International Journal of Sports Marketing and Sponsorship 12(1):32–47.
Hallmann K., Zehrer A., Müller S.. 2015;Perceived destination image: An image model for a winter sports destination and its effect on intention to revisit. Journal of Travel Research 54(1):94–106.
Holbrook M. B., Hirschman E. C.. 1982;The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research 9(2):132–140.
Hosany S., Ekinci Y., Uysal M.. 2006;Destination image and destination personality: An application of branding theories to tourism places. Journal of Business Research 59(5):638–642.
Hosany S., Witham M.. 2010;Dimensions of cruisers’ experiences, satisfaction, and intention to recommend. Journal of Travel Research 49(3):351–364.
Hsu F. C., Scott N.. 2020;Food experience, place attachment, destination image and the role of food-related personality traits. Journal of Hospitality and Tourism Management 44:79–87.
Hu L. T., Bentler P. M.. 1999;Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6(1):1–55.
Hwang J., Han H.. 2018;A study on the application of the experience economy to luxury cruise passengers. Tourism and Hospitality Research 18(4):478–491.
Iso-Ahola S. E.. 1982;Toward a social psychological theory of tourism motivation: A rejoinder. Annals of Tourism Research 9(2):256–262.
Jeong S., Fiore A. M., Niehm L. S., Lorenz F. O.. 2009;The role of experiential value in online shopping: The impacts of product presentation on consumer responses towards an apparel web site. Internet Research 19(1):105–124.
Jeong Y., Kim S. K.. 2019;The key antecedent and consequences of destination image in a mega sporting event. South African Journal of Business Management 50(1):1–11.
Jeong Y., Yu A., Kim S. K.. 2019;The antecedents of tourists’ behavioral intentions at sporting events: The case of South Korea. Sustainability 12(1):333. 10.3390/su12010333.
Jeong Y., Kim S. K., Yu J. G.. 2020;Sustaining sporting destinations through improving tourists’ mental and physical health in the tourism environment: The case of Korea. International Journal of Environmental Research and Public Health 17(1):122. 10.3390/ijerph17010122.
Joo H. C., Lee Y. G.. 2019;The relationship among the event attributes of professional golf tour, competition satisfaction, competition image, and revisit intention. The Korea Journal of Sports Science 28(3):467–482.
Kaplanidou K., Vogt C.. 2007;The interrelationship between sport event and destination image and sport tourists’ behaviours. Journal of Sport & Tourism 12(3–4):183–206.
Kim D. K., Kim Y. M.. 2017;The structural relationship among track cycle dome visitor field experience, flow, satisfaction and revisit. Korean Journal of Sports Science 26(6):597–609.
Kim H. J.. 2016;Effects of experiential elements of culture and tourism festivals on brand equity and satisfaction visitors through Pine and Gilmore’s experience economy theory. Journal of Hospitality & Tourism Studies 64:231–254.
Kim J. H.. 2018;The impact of memorable tourism experiences on loyalty behaviors: The mediating effects of destination image and satisfaction. Journal of Travel Research 57(7):856–870.
Kim S. K., Park J. A., Kim W.. 2016;The mediating effect of destination image on the relationship between spectator satisfaction and behavioral intentions at an international sporting event. Asia Pacific Journal of Tourism Research 21(3):273–292.
Kim S. L., In O. N.. 2014;Effect of walking tour experience on tourist satisfaction and revisit intention. Journal of the Korea Society of Computer and Information 19(5):99–107.
Kim S., Ham S., Moon H., Chua B. L., Han H.. 2019;Experience, brand prestige, perceived value (functional, hedonic, social, and financial), and loyalty among GROCERANT customers. International Journal of Hospitality Management 77:169–177.
Kim W., Jun H. M., Walker M., Drane D.. 2014;Evaluating the perceived social impacts of hosting large-scale sport tourism events: Scale development and validation. Tourism Management 48:21–32.
Kline R. B.. 1998;Software review: Software programs for structural equation modeling: Amos, EQS, and LISREL. Journal of Psychoeducational Assessment 16(4):343–364.
Ko Y. J., Zhang J., Cattani K., Pastore D.. 2011;Assessment of event quality in major spectator sports. Managing Service Quality 21(3):304–322.
Koo S. K. S., Byon K. K., Baker T. A. III. 2014;Integrating Event Image, Satisfaction, and Behavioral Intention: Small-Scale Marathon Event. Sport Marketing Quarterly 23(3):127–137.
Kwon W., Kim K. Y.. 2018;Applying experience economy theory to sports spectatorship: The relationship analysis among stadium experiences, satisfaction, revisit intention to professional baseball game. The Korean Journal of Physical Education 57(2):303–317.
Lee B., Lee C. K., Lee J.. 2014;Dynamic nature of destination image and influence of tourist overall satisfaction on image modification. Journal of Travel Research 53(2):239–251.
Lee S., Jeong E., Qu K.. 2020;Exploring theme park visitors’ experience on satisfaction and revisit intention: A utilization of experience economy model. Journal of Quality Assurance in Hospitality & Tourism 21(4):474–497.
Li H., Lien C. H., Wang S. W., Wang T., Dong W.. 2020;Event and city image: the effect on revisit intention. Tourism Review 76(1):212–228.
Li T. T., Liu F., Soutar G. N.. 2021;Experiences, post-trip destination image, satisfaction and loyalty: A study in an ecotourism context. Journal of Destination Marketing & Management 19:100547.
Liu D.. 2013;Major sports events, destination image and intention to revisit from the foreign tourist’s perspective. International Journal of Sports Marketing & Sponsorship 14(3):23–34.
Madrigal R.. 2006;Measuring the multidimensional nature of sporting event performance consumption. Journal of Leisure Research 38(3):267–292.
Mehmetoglu M., Engen M.. 2011;Pine and Gilmore’s concept of experience economy and its dimensions: An empirical examination in tourism. Journal of Quality Assurance in Hospitality & Tourism 12(4):237–255.
Min D. S., Lee W. Y.. 2019;Examining the impact of event quality on spectators’ destination image, country image and behavioral intention: A case of Tour de Korea. Korean Journal of Sport Science 30(1):90–104.
Moon K. S., Ko Y. J., Connaughton D. P., Lee J. H.. 2013;A mediating role of destination image in the relationship between event quality, perceived value, and behavioral intention. Journal of Sport & Tourism 18(1):49–66.
Mourão T., Ribeiro T., Cunha de Almeida V. M.. 2022;Psychic income benefits of the Rio 2016 Olympic Games: comparison of host community pre-and post-Games perceptions. Journal of Sport & Tourism 26(1):21–41.
Nunnally J. C., Bernstein I.. 1994;Psychometric theory 3rd edth ed. McGraw Hill;
Oh H., Fiore A. M., Jeong M.. 2007;Measuring the tourist experience using experience economy concepts. Journal of Travel Research 46(2):119–132.
Oshimi D., Harada M.. 2019;Host residents’ role in sporting events: The city image perspective. Sport Management Review 22(2):263–275.
Parasuraman A., Zeithaml V. A., Berry L. L.. 1988;SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing 64(1):12–40.
Park J. B., Lee S. B.. 2018;A study on the effects of experience elements at a regional festival on festival image, regional image, and regional loyalty: Focused on the Anseong Namsadang Baudeogi Festival. International Journal of Tourism and Hospitality Research 32(8):163–175.
Park M., Oh H., Park J.. 2010;Measuring the experience economy of film festival participants. International Journal of Tourism Sciences 10(2):35–54.
Pike S., Gentle J., Kelly L., Beatson A.. 2018;Tracking brand positioning for an emerging destination: 2003 to 2015. Tourism and Hospitality Research 18(3):286–296.
Pine B. J., Gilmore J. H.. 1998;Welcome to the experience economy. Harvard Business Review 76:97–105.
Pine B. J., Gilmore J. H.. 1999. The experience economy: Work is theatre & every business a stage Harvard Business Press..
Pine B. J., Gilmore J. H.. 2013. The experience economy: Past, present and future. Handbook on the experience economy p. 21–43. Cheltenham: Edward Elgar Publishing..
Piramanayagam S., Sud S., Seal P. P.. 2020;Relationship between tourists’ local food experiencescape, satisfaction and behavioural intention. Anatolia 31(2):316–330.
Prayag G., Hosany S., Muskat B., Del Chiappa G.. 2017;Understanding the relationships between tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. Journal of Travel Research 56(1):41–54.
Prentice R.. 2004. Tourist motivation and typologies. In : Lew A, Hall M, Williams AM, eds. A companion to tourism p. 261–279. Pergamon.
Quadri-Felitti D. L., Fiore A. M.. 2013;Destination loyalty: Effects of wine tourists’ experiences, memories, and satisfaction on intentions. Tourism and Hospitality Research 13(1):47–62.
Radder L., Han X.. 2015;An examination of the museum experience based on Pine and Gilmore’s experience economy realms. Journal of Applied Business Research 31(2):455–470.
Richards G.. 2019. Event experience research directions. In : Armbrecht J, Lundberg E, Andersson D, eds. A research agenda for event management p. 79–93. Edward Elgar Publishing..
Roche M.. 2000. Mega-events and modernity: Olympics and expos in the growth of global culture London, UK: Routledge.
Schmitt B.. 1999;Experiential marketing. Journal of Marketing Management 15(1–3):53–67.
Shevlin M., Miles J. N.. 1998;Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences 25(1):85–90.
Shoemaker S., Lewis R. C.. 1999;Customer loyalty: The future of hospitality marketing. International Journal of Hospitality Management 18(4):345–370.
Smith W. W., Li X. R., Pan B., Witte M., Doherty S. T.. 2015;Tracking destination image across the trip experience with smartphone technology. Tourism Management 48:113–122.
Song H. J., Lee C. K., Park J. A., Hwang Y. H., Reisinger Y.. 2015;The influence of tourist experience on perceived value and satisfaction with temple stays: The experience economy theory. Journal of Travel & Tourism Marketing 32(4):401–415.
Spinda J. S.. 2011;The development of basking in reflected glory (BIRGing) and cutting off reflected failure (CORFing) measures. Journal of Sport Behavior 34(4):392–420.
Stylidis D., Cherifi B.. 2018;Characteristics of destination image: visitors and non-visitors’ images of London. Tourism Review 73(1):55–67.
Su D. N., Nguyen N. A. N., Nguyen Q. N. T., Tran T. P.. 2020;The link between travel motivation and satisfaction towards a heritage destination: The role of visitor engagement, visitor experience and heritage destination image. Tourism Management Perspectives 34:100634.
Tang J., Qiu C.. 2015. Research on motivation, experience, satisfaction and behavioral intention of museum tourism: A case of Macau Museum. Tourism and hospitality development between China and EU p. 137–153. Berlin: Springer.
Tasci A. D., Gartner W. C.. 2007;Destination image and its functional relationships. Journal of Travel Research 45(4):413–425.
Unger L. S., Keman J. B.. 1983;On the meaning of leisure: An investigation of some determinants of the subjective experience. Journal of Consumer Research 9(4):381–392.
Walker M., Kaplanidou K., Gibson H., Thapa B., Geldenhuys S., Coetzee W.. 2013;“Win in Africa, With Africa”: Social responsibility, event image, and destination benefits. The case of the 2010 FIFA World Cup in South Africa. Tourism Management 34:80–90.
Walters G.. 2008;Bidding for major sporting events: Key issues and challenges faced by sports governing bodies in the UK. A Report for the CCPR
Wheaton B.. 1987;Assessment of fit in over-identified models with latent variables. Sociological Methods and Research 16(1):118–154.
Woratschek H., Horbel C., Popp B.. 2014;The sport value framework–a new fundamental logic for analyses in sport management. European Sport Management Quarterly 14(1):6–24.
Yazıcı T., Kocak S., Altunsöz I. H.. 2017;Examining the effect of experiential marketing on behavioral intentions in a festival with a specific sport event. European Sport Management Quarterly 17(2):171–192.
Zaki N., Abuzied N.. 2017;Memorable experience economy: Investigating tourists’ experience on memories and loyalty in Egypt’ brand resort hotels. International Journal of Heritage, Tourism and Hospitality 11(4):178–198.
Zeithaml V. A., Berry L. L., Parasuraman A.. 1996;The behavioral consequences of service quality. Journal of Marketing 60(2):31–46.

Article information Continued

Figure 1

Four realms of experience

Figure 2

Proposed hypothetical model

Figure 3

Results of the structural equation modeling analysis

Table 1

Sample characteristics (N = 329)

Variable N Frequency (%)
Gender Male 164 49.8
Female 165 50.2

Age 20–29 94 28.6
30–39 116 35.3
40–49 61 18.6
50–59 29 8.8
≧60 25 7.6

Occupation Office worker 108 35.9
Engineer 18 5.7
Professional 35 10.6
Sales, service 18 5.7
Self-employed 54 16.4
Homemaker 16 4.9
Student 40 12.2
Other 30 9.1

Monthly Household Income <2,000 USD 29 8.8
<3,000 USD 48 14.6
<4,000 USD 48 14.6
<5,000 USD 38 11.6
<6,000 USD 44 13.8
<7,000 USD 49 14.9
<8,000 USD 17 5.2
≧8,000 USD 52 17.0

Table 2

Results of the measurement model

Dimension Item Mean (SD) Standardized coefficients AVE CR α
Entertainment This event is fun. 6.182 (1.08) .768 .612 .862 .862
This event is enjoyable. 6.304 (.96) .820
This event is fascinating. 6.158 (.96) .888
This event is entertaining. 6.280 (1.06) .671

Education The experience makes me more knowledgeable. 5.027 (1.32) .885 .783 .935 .968
The experience allows me to learn more about swimming. 4.912 (1.41) .892
It stimulates my curiosity to learn new things. 4.973 (1.32) .962
It is a real learning experience. 4.985 (1.29) .984

Esthetics The setting of this event is attractive. 5.809 (1.18) .792 .534 .821 .880
The setting of this event pays attention to design details. 5.684 (1.16) .860
It is pleasant just being here. 5.176 (1.40) .760
I feel a real sense of harmony. 5.489 (1.34) .823

Escapism This event allows me to forget about my daily routine. 5.851 (1.17) .827 .539 .821 .857
This event allows me to have a break from routine. 5.802 (1.14) .899
I feel like I am in a different time or place. 5.620 (1.05) .755
The experience lets me imagine being someone else. 5.450 (1.20) .602

Destination Image This city is an attractive destination. 5.921 (1.06) .921 .839 .940 .948
This city is an exciting destination. 5.872 (1.12) .941
This city offers good value for my travel money. 5.951 (1.11) .923

Event Image This event broadens my horizon by providing me the opportunities to experience sporting event. 5.970 (1.08) .899 .821 .932 .947
This event satisfies my curiosity. 5.733 (1.24) .946
This event is well projected and organized. 5.696 (1.21) .937

Behavioral Intention I would recommend this sporting event to others. 5.815 (1.22) .942 .791 .938 .959
I would recommend this region to others. 5.644 (1.37) .916
I would attend other sporting events in this region again. 5.681 (1.33) .963
I would revisit this region. 5.802 (1.22) .890

Note: CMIN=891.469, df=276, CMIN/df=3.230, CFI=.934, TLI=.922, RMSEA=.082, SRMR=.051

Table 3

Correlations of the variables and discriminant validity

1 2 3 4 5 6
1 1
2 .516*** 1
3 .498*** .472*** 1
4 .606*** .607*** .621*** 1
5 .630*** .396*** .484*** .527*** 1
6 .593*** .476*** .483*** .563*** .770*** 1
7 .606*** .475*** .538*** .582*** .768*** .782***
***

p < .001;

1. Entertainment; 2. Education; 3. Esthetics; 4. Escapism; 5. Destination Image; 6. Satisfaction; 7. Behavioral Intention; AVE, average variance extracted; CR, composite reliability

Table 4

Results of the hypothesis testing

Path Coefficient t p Result
H1: 4Es → Destination Image
H1a: Entertainment → Destination Image .589 7.668 .000 supported
H1b: Education → Destination Image −.030 −.663 .507 not supported
H1c: Esthetics → Destination Image .148 1.999 .046 supported
H1d: Escapism → Destination Image .207 2.537 .011 supported

H2: 4Es → Event Image
H2a: Entertainment → Event Image .541 6.235 .000 supported
H2b: Education → Event Image .078 1.513 .130 not supported
H2c: Esthetics → Event Image .145 2.162 .031 supported
H2d: Escapism → Event Image .312 2.584 .010 supported

H3: Destination Image → Behavioral Intention .345 7.871 .000 supported

H4: Event Image → Behavioral Intention .774 18.271 .000 supported

Note: CMIN=936.438, df=257, CMIN/df=3.644, CFI = .921, TLI = .908, RMSEA = .089, SRMR = .072