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This study explores the motives and objectives of sports sponsorship in China, taking into account the sports, social and cultural contexts. It also adopts a comparative approach to examine the sponsorship of elite and grassroots sports events in China.

This study adopts a qualitative approach, employing semi-structured interviews with representatives of nine companies sponsoring elite and/or grassroots sports events in Western China. The data were analyzed through reflexive thematic analysis.

In China, sponsors are frequently driven to sponsor elite sport events by a sense of obligation and responsibility to the country, whereas their motives to sponsor grassroots sport events is primarily influenced by sincerity and goodwill. Chinese companies consider brand awareness, exposure and the relationship with the government and authorities as key factors for sponsorship, and use sponsorship to achieve market-related objectives.

Companies’ sponsorship motives and objectives have received significant attention in the literature, but mainly in Western countries. In the context of China, this study identifies how sponsors utilize social networks to shape their motives and objectives. It also reveals certain patterns common with the current literature, as well as specificities such as how the roles of the government and authorities are linked to the contingent economic and social context of the country. Furthermore, the differences between elite and grassroots sports events sponsorship are explained.

This study aims to empirically test how sponsored video customization (i.e. the degree to which a sponsored video is customized for a sponsoring brand) affects video shares differently depending on influencer characteristics (i.e. mega influencer and expert influencer) and brand characteristics (i.e. brand establishment and product involvement).

This study uses a unique real-world data set that combines coded variables (e.g. customization) and objective video performance (e.g. sharing) of 365 sponsored videos to test the hypotheses. A negative binomial model is used to analyze the data set.

This study finds that the effect of video customization on video shares varies across contexts. Video customization positively affects shares if they are made for well-established brands and high-involvement products but negatively influences shares if they are produced by mega and expert influencers.

This study extends the influencer marketing literature by focusing on a new media modality – sponsored video. Drawing on the multiple inference model and the persuasion knowledge theory, this study teases out different conditions under which video customization is more or less likely to foster audience engagement, which both influencers and brands care about. The chosen research setting may limit the generalizability of the findings of this study.

The findings suggest that mega and expert influencers need to consider if their endorsement would backfire on a highly customized video. Brands that aim to engage customers with highly-customized videos should gauge their decision by taking into consideration their years of establishment and product involvement. For video-sharing platforms, especially those that are planning to expand their businesses to include “matching-making services” for brands and influencers, the findings provide theory-based guidance on optimizing such matches.

This paper fulfills an urgent research need to study how brands and influencers should produce sponsored videos to achieve optimal outcomes.

This study examines the relationships among residents' event impact perceptions, attitude towards events, attitude towards sponsors and sponsor-related behavioural intentions (i.e. purchase intention and word-of-mouth).

Focusing on the Naha Marathon in Okinawa, Japan, as a research context, data were collected from residents of Okinawa who were familiar with the Naha Marathon and its sponsors (N = 322). Structural equation modelling was employed to test the hypotheses, developed based on theories of social exchange, image transfer and planned behaviour.

The findings revealed that residents’ perceptions of social event impacts, rather than economic and environmental impacts, were associated with attitudes towards the event. Such an effect was indirectly associated with purchase intentions and word-of-mouth intentions via attitude towards the sponsors.

The current research contributes to the literature on sport sponsorship, especially in participation-based sports, by exploring how event sponsors can enjoy fruitful returns on investment. The findings can extend our understanding by highlighting the importance of positive community engagement for sponsors. Sponsors who aim to enhance consumer behaviour should prioritize strategies aligning with the positive social impacts of events.

The aim of this research was to investigate fans’ responses toward a sponsor that has had a long-standing sponsorship deal with a club and decided also to sponsor the club’s rival.

A long-term sponsorship deal between a retsina wine company and a popular football club and a newly established deal between the company and the main rival club were selected as the research setting. Data were collected from a total sample of 302 participants, fans of the two teams, using an online survey and PLS-SEM was employed to test the relationships of the proposed structural model.

The results provided evidence for the importance of the inclusion of perceptions of fit for both teams to the model as it impacted the responses in the joint sponsorship. Team identification emerged significant for improving fans perceptions of fit between the sponsor and their favorite club but also led fans of the long-term sponsored club to feel betrayed from the sponsor. The sense of betrayal impacted the level of fit, the rejection of sponsorship but did not emerge significant for driving negative responses toward the sponsor’s brand. The same held for the rejection of the joint sponsorship.

This is the very first study that incorporated the effects of the perceptions of fit of two rival clubs to test the effect of sponsorship for a sponsor brand of a deal that includes a longtime sponsored football club and its rival as a newly sponsored one. It is also one of the first attempts that explores relationships between perceptions of fit, sense of betrayal and rejection of a joint sport sponsorship in a rivalry context, highlighting the importance of preventing fans' betrayal.

Many voluntary sports clubs face financial difficulties and consequently turn to external funding sources. Recent developments suggest that sports clubs have been successful in significantly increasing sponsorship income by professionalizing their sponsorship activities. However, not much is known about how voluntary sports clubs professionalize their sponsorship management (e.g. sponsorship staff). This study seeks to gain a deeper understanding of the components addressed and the practices used by voluntary sports clubs to professionalize their sponsorship.

An exploratory case study was conducted to gain in-depth insights into voluntary sports clubs’ organizational developments in the context of sponsorship management. Data were collected from six sports clubs through document analyses and problem-centered interviews with decision makers. The data were analyzed using a qualitative content analysis approach, which included both deductive and complementary inductive coding of the data.

The results show that the components addressed in the professionalization of sponsorship management are reflected in three dimensions: “people and positions” (e.g. sponsorship staff), “structures and processes” (e.g. differentiation of responsibilities), and “strategies and activities” (e.g. sponsorship rights orientation). It was also found that clubs, which have diverse characteristics and levels of professionalization, pursue distinct approaches.

In contrast to studies on professional sports organizations that focus primarily on the sponsor’s perspective, this study sheds light on sponsorship management in sports clubs in the non-profit sector. The findings can help voluntary sports clubs to transform their sponsorship management strategically and increase sponsorship income in the long term.

Despite fast developments in esports sponsorship, limited research exists in the area of sponsorship evaluation in the esports context. The purpose of the present study was to test the relationships among esports involvement, sponsorship perceived fit and viewers’ intention to buy the sponsor’s products, and examine the degree to which perceived fit mediates the relationship between the involvement dimensions and intention.

The study draws on the theoretical model of sponsorship effects proposed by Wakefield et al. (2020) and obtained quantitative data from sampling esports viewers (n = 285). Statistical analysis was carried out in three steps. Beyond the descriptive statistics, confirmatory factor analysis (CFA) was conducted to assess the goodness of fit of the measurement model. The mediation analysis was performed at the end of the study.

The results supported the impact of one of the esports involvement dimensions (i.e. self-expression) on both perceived fit and esports viewers’ intentions to buy sponsors’ products. Involvement (self-expression) was found to have both direct and indirect relationships, through perceived fit, on purchase intentions. The study provided support for the associations among esports involvement dimensions, sponsorship perceived fit and purchase intentions.

The practitioners should first consider the involvement profile of esports viewers. The more involved viewers will be more likely to have positive perceptions about the fit between the esports tournament and the sponsor.

It is the first study to test a sponsorship evaluation model in the context of esports users. It does so by including a more detailed measurement of involvement (with three-dimensions) in the hypothesized model.

This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.

The purpose of this study is to investigate the effects of sport scandals on consumer perceptions of the associated sponsors and sport and to provide a typology of sport celebrity scandals to guide management response tactics.

The study conducted four focus groups that were followed by social media data mining. A total of 8,289 consumer comments were collected from 147 websites, and a total of 224 comments were analyzed in terms of themes and frequency.

The research found the impact of sport scandals on consumer perceptions of sponsorship evaluations depended on whether the scandal was gender related scandal, recreational drug use, gender violence, unplanned and planned on-field scandals. Gender violence and planned on-field scandals can have an overwhelmingly negative impact on sponsorship evaluations, while unplanned on-field scandals may result in positive effects. Consumer empathy may influence the impact of recreational drug use, and the gender of the sport celebrity can influence the impact of unplanned on-field scandals.

This study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of associated sponsors and sport.

The findings may guide management to develop response tactics to sport scandals. The response tactics may be based on consumer perceptions of the impact of the scandal on the associated sponsors and sport. Sponsor and sport management response tactics may be perceived as a differentiation of the sponsor and sport brands. It may be necessary that sponsorship agreements included pre-determined response tactics that contribute to value formation in the local community.

This study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of sponsorship evaluations. Two additional factors may impact these influences: consumer empathy and the gender of the sport celebrity.

As artificial intelligence (AI) continues to influence sports league and team operations, the brands providing these services are sponsoring sports properties to demonstrate and communicate their performance capabilities. This article examines Amazon Web Services (AWS) sponsorship with the National Football League (NFL). This sponsorship features functional congruence, which is when a sponsor has a participatory role in performing services for the property.

The AWS sponsorship with the NFL is captured by examining specially created websites, in-game sponsored elements, and television commercials aired during the broadcast of NFL games. The AWS website focuses on the services profiled in this article.

AWS provides the NFL with performance-based (on-the-field) and business-based (off-the-field) services. Of particular note, AWS capabilities help the NFL create the game schedule and address the issue of player health and safety. Demonstrating functional congruence appears to be especially valuable in business-to-business marketing where purchase decisions are more focused on brand reliability. AWS television commercials feature the tagline, “if AWS can do this for the NFL, imagine what it can do for your business.”

With the role of AI in sports in its relative infancy, it is imperative to document what services AI brands are performing for a professional sports league. Examining AWS sponsorship with the NFL provides a timely, practical example of how an AI brand communicates and positions itself using sponsorship as a marketing strategy.

Despite the fact this is already known over how sports spectators interpret sponsorship content, less is known about participants’ sentiments toward sponsors, which are sometimes crucial to the survival of participation sporting events. Various researchers have examined at how spectators recognize or recall sponsors, but very few have explored it from the viewpoint of sport participants. This research portrays a shift in focus from spectator-based to participant-based marketing by studying the differences over how participants and spectators perceive sport sponsorship, recognizing the current knowledge gap regarding the process of sponsorship in participant-based sports. Sponsorship previous research has focused on the effectiveness of sport sponsorships utilizing variables such sponsor recognition, desire to sponsors’ products and anticipated sponsorship advantages (Koronios and Dimitropoulos, 2020). The examination of sport sponsorship from the standpoint of the sport spectator is something that many of the past studies have in common. The application of past research analysing sport sponsorship from a distinct perspective: that of the sport participant, distinguishes the present study. In addition, the present study explores the distinctions in sponsorship effectiveness between spectators and participants, a topic which hasn't been addressed at before in sponsorship literature.

This study depicts a move away from spectator-based to participant-based marketing, utilizing contemporary implicit physiological variables to measure participants’ and spectators’ awareness of and attitude toward sponsors, and it proposes a model of their purchase intentions toward real sponsors of a martial event. A total of 1,332 questionnaires were collected and analysed.

Factors such as sport involvement, social media use, sincerity and beliefs of sponsorship were found to have a significant effect on purchase intention of spectators and participants. And crucial differences in the significance of various antecedent factors between spectators and participants were detected in the formation of positive purchase and word-of-mouth intentions.

This paper gives prominence to contemporary methodological advances in the field of implicit social cognition and their relevance to sponsorship. This is the first sponsorship research which examines the effectiveness of sponsorship variables under the implicit–explicit variables dichotomy.