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In a dynamic, continuously evolving sports landscape, social media have become an indispensable tool for sports organizations to cultivate meaningful connections with fans. The rapid pace of technological advancements has elevated these digital platforms from a supplementary role to a pivotal position within strategic management frameworks. The existing literature explores how football clubs can utilize social media, but analyzing social media strategies within the context of football leagues is lacking. The absence of comparative studies benchmarking clubs across different geographical regions while simultaneously analyzing multiple social media platforms is especially noteworthy. In this study, a comprehensive analysis of social media engagement is undertaken within esteemed football leagues spanning Europe, South America and North America.

Drawing on relationship marketing and employing content analysis as a methodological tool, the study examined 10,772 posts from the official accounts of eight football leagues on Facebook, Twitter and Instagram.

Across the leagues, the findings reveal that content quality drives engagement more than frequency. In addition, several format combinations were identified that facilitate engagement and Instagram emerged as the top social media platform for generating fan engagement.

This is one of the first empirical studies focusing on optimizing the use of social media to amplify fan engagement across various geographies and social media accounts and formats simultaneously.

Previous corporate social responsibility (CSR) research has mainly revolved around the “usual target” (that is, fans and consumers) that invest money, time and energy in supporting their teams in isolation while largely ignoring individual members of the public. Building on social exchange theory and social media analytics, the authors examine the social outcomes of CSR aggregated from individual members of society's perceived benefits (intangible and psychological).

Raw data were drawn from the CSR-focused Twitter accounts of six professional leagues (i.e. @nbacares, @nflplay60, @InspireChange, @thewnbpa, @Pr_nhl, @Mlsworks and @Mlbsocial). The authors collected historical data from each CSR-focused Twitter account (N = 136,076) from March 2010 to September 2022.

After conducting sentiment analysis of public perceptions, the majority of tweets (53%) were neutral, 39% were positive and 8% were negative. All CSR-related accounts received more positive tweets about their initiatives than negative ones did. The most prevalent positive topics are supporting the community, education, youth wellness and health and inspiring the young generation. The most prevalent negative topics were related to fake, hypocrite, hate and social justice.

The study contributes to the CSR-sport literature by incorporating members of the general public into the stakeholder ecosystem and empirically examining their perceptions of sport organizations' CSR activities. Also, by drawing on the social exchange theory and the unique nature of social media, the authors highlight when and how the public expresses positive, neutral and negative perceptions over time. Finally, it joins a small but growing body of research that adopts the application of big data to sport management, and it measures the sentiment, frequency, distribution and topics of tweets, thereby determining positive and negative public perceptions.

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 paper attempts to investigate the effect of corruption on the real and accrual earnings management of target firms in the process of mergers and acquisitions.

The sample includes target firms from the European area that participate in mergers or acquisitions announced during 2010–2020. The preliminary empirical part estimates the level of earnings management during the period two years before the deal's announcement to identify whether the sample follows the manipulation behavior that the literature suggests for target firms. The primary empirical analysis focuses on the impact of corruption on real and accrual-based earnings management proxies, employing regression models and two alternative proxies for corruption. The existing literature points out that the combination of low levels of corruption and an integrated legal system reduces earnings manipulation.

The findings provide strong evidence for systematic downwards accounting manipulation practices, whereas the findings for real earnings management are not significant. The findings of the main empirical part show that corruption is positively associated with accrual-based manipulation and negatively related to real earnings management. In essence, in economies with a high level of transparency, managers adopt the manipulation of operating activities as a less detectable practice of earnings management instead of engaging in accounting procedures.

This study contributes to the literature highlighting the diversification of these firms' manipulation strategies according to the national level's corruption status.