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The paper aims to revisit the debate on the priorities of football clubs in talent hiring with respect to maximizing sporting performance or economic profitability. Based on the degree of media exposure of the clubs, we examine whether the clubs’ objectives include, in addition to the classic twofold choice, the aspiration of club managers to gain popularity through media exposure.

This paper applies structural equation modelling (path analysis) techniques to re-examine what is the more realistic description of football club owners’ decisions when hiring talent. Our database comprises teams from the first division of four top European football leagues: 80 observations per season during the pre-COVID period spanning from 2009/10 to 2017/18.

The results suggest that, when recruiting players, in addition to considering the two classic objectives (wins and profits), club owners also seem to aim expanding the media exposure and popularity of their clubs. Our study reveals that, to explain talent-hiring decisions in football, the ability to attract media attention is as crucial as sporting performance could be. Furthermore, by examining the direct, indirect and total effects on annual revenue, we found that our media visibility index performs a mediation effect connecting sports performance and revenue.

An innovative feature of our analysis is the use of the MERIT media visibility index, which jointly captures the on-field and off-field players’ skills. The consistency and robustness of the results derive from the various specifications of the estimated models.

The main goal of this paper is to evaluate the players' contribution and economic value in the soccer industry. Media visibility records provide us with comparable metrics to identify talent and make hiring decisions – these records can jointly capture sport (on-field) skills and other attractive (off-field) abilities.

This paper presents a valuation method that applies media visibility appraisals to estimate “theoretical values” of the transfer fees paid for hiring soccer players. The estimations are performed by analysing the evolution over time of the media exposure of about 5,000 individuals of more than 200 clubs.

The study’s empirical results reveal that, along with sport performance, the players' media status also affects their economic valuation, which explains why the clubs – in search of greater economic returns – fiercely compete for the most popular players. The paper also identifies the main factors determining the players' economic value. In predicting the players' transfer fees, some variables are statistically significant: individual media visibility, media visibility share of the player within his team, contract duration, status of the hiring team, years of experience, player's age at the end of the contract and the domestic league of the hiring team.

Professional sports provide reliable measures on individuals' performance that may help in the hiring process of workers. This paper identifies gifted soccer players while taking into account their skills as media leaders and the economic implications. Insofar as players' talents determine their teams' sport and economic achievements, the transfer fees paid for players must then be seen as a crucial factor. Measuring individual talent and being able to translate this talent into productivity levels entail serious methodological and empirical challenges.

The purpose of this paper is to accomplish several goals. First, it studies the relevance of the sports sector as part of the entertainment industry. Second, it identifies promising markets within the sports industry, paying special attention to the relative importance of soccer in the context of team-sport leagues. Finally, the paper helps entrepreneurs to recognized market opportunities in the sports industry by identifying the soccer clubs that were found to be low-risk global brands.

To evaluate the relevance of the entertainment and sports industries, both in the USA and EU-28, the authors rely on their respective contribution to the domestic product and to employment. Two procedures are proposed for establishing the status of global sport leagues: one is based on the annual revenues and the other on the degree of interest that the public shows for each professional sport league. (The latter is performed by comparing the intensity with which internet users search for contents related to each of the Top-10 sports leagues worldwide.) Finally, by estimating the fixed effects of a model in which sport performance is filtered out, we calculate the expected low-risk revenues that clubs generate due to their heterogeneous brand value.

This paper reaches some few relevant results. First, we find that the greater employment opportunities in the European sport industry are concentrated in the UK, Spain, France and Germany, which may orientate entrepreneurs to start projects in promising sport markets. Then, data on annual revenues is used to rank the main team-sport leagues worldwide: NFL, MLB, NBA, Premier League and NHL. Another rank is based on the degree of interest of fans (as captured by Google Trends) yields a different result, where the NFL, NBA and the UEFA Champions League are, respectively, at command. Besides, the paper also ranks clubs as valuable assets by identifying which of them are low-risk soccer brands. The empirical study provides insights to select business opportunities by targeting the less-risky clubs or leagues, by calculating the expected annual revenues of clubs regardless of their recent sports performances.

This paper is innovative in two ways. First, it develops an analysis based on Google Trends to establish the comparative status of team-sport leagues worldwide. Second, by adopting an original empirical approach, it identifies markets and brands to carry out low-risk entrepreneurial projects. The expected potential revenues derived from this procedure are not contingent to the risk due to poor sport achievements in a particular season. To our knowledge, researchers have not computed in the past such calculations as that we name here low-risk revenues.

The purpose of this paper is to examine the degree of persistence in four precious metal prices (i.e. gold, palladium, platinum and silver) during the last four US recessions.

Using daily price data for gold, palladium, platinum and silver running from July 2, 1990, to March 21, 2022, and dating of business cycles in the USA provided by NBER (2022), the paper uses fractional integration to test the degree of persistence of precious metal prices.

The empirical analysis shows the unrelenting prominence of gold in relation to other precious metals (palladium, platinum and silver) as a hedge against market uncertainty in the post-pandemic new era.

Two are the main contributions of the paper. Firstly, the authors contribute to the commodity markets and finance literature on precious metal price modelling. Secondly, the authors also contribute to the literature on commodity markets and business cycles with a special focus on recessionary periods.

This study aims to identify the current state, the emergent research clusters, the key research topics and the configuration of collaboration in scientific production related to the market value of soccer players.

This article analyzes 52 articles published between 1985 and 2021 and from the Scopus and WoS databases.

The subject is of growing interest both in academic and practical areas. A variable that frequently appears as a determinant of market value is crowd wisdom. The largest cluster related to the co-citation level shows that the main issues about soccer player market value are player performance, team performance, and the determinants of the superstar formation. Spain and Germany stand out as essential countries both in literary production and citation rate. The network of collaborations is still low.

This study is supported by databases being constantly updated, resulting in continuous variation in the number of indexed journals. Consequently, a bibliometric analysis regarding an emergent topic can, in fewer years, be subject to essential variations. Another limitation is that it has analyzed a particular topic using the most influential databases, and the global perspective could be improved with the incorporation of other different databases. Data regarding collaborations could be helpful for investigations or policies that propose to approach the topic supported by specialized groups. This study offers the possibility for future researchers to extend the databases used, the level of analysis, or focus on specific topics or variables affecting the soccer player market value.

This study contributes to knowing the current state of the soccer player market value research. Studies on such topics are relatively limited concerning the literature review.

The aim of this work is to explain the final negotiated prices for some of the most famous transfers of football players over the last twelve years (2007–2018).

The article analyses different values for forwards taken from the sports website Transfermarkt, developing a statistical model based on personal, performance, risk, environmental and popularity variables. From those values, the article finds an explanation for the final prices paid for 20 superstar players based on a combination of real option valuations, incorporating the players' life cycles and game theory.

The authors find that in a large percentage (70%) of the analysed cases, the price paid was higher than the intrinsic market value resulting from Transfermarkt, implying the existence of monopolistic rents, paid as “growth options” on prices from different negotiating conditions. On occasions, the final prices also exceed the value of the growth option, calculated under neutral bargaining conditions, highlighting the lack of economic viability of important transfers, leading to financial difficulties for the clubs involved.

The algorithm provides more flexibility and realism than previous proposals, based on the life cycle of football players, introducing the uncertainty and volatility of projections through Monte Carlo simulation, the capacity of clubs to bargain a price at any point of the contract and finally, the buyer's ability to transfer the player if his subsequent performance is not as expected.

Using uses and gratifications theory as a guide, the purpose of this paper is to examine how fans are engaging with Major League Baseball (MLB) teams that are utilizing Instagram postings to demonstrate sporting, business, and social objectives.

An analysis of 1,500 photos (50 from each team) was conducted. A content analysis analyzed the content of the photo, and a textual analysis was implemented to examine the use of hashtags by the teams on their Instagram photos.

Posts that overly demonstrated the business and social objectives had some of the lowest numbers of likes and comments, indicating that fan engagement is not often achieved through these methods.

Results of this research demonstrate that while MLB teams are able to address their multiple objectives on Instagram, fans are not necessarily interested in all three of these efforts. Posts about on-field action, consumer buying opportunities, and charitable efforts were all created by the majority of teams, but the sporting objective posts had, by far, the highest average number of both likes and comments when compared to the charitable and promotional objectives of the teams. Therefore, the results provide some best practices for teams looking to use the photo and video sharing network.

This research proposes analytical valuation models throughout football players' life cycles based on crowd valuations from social media to produce dynamic sporting human capital disclosures, and therefore, supplying further useful information to capture the intellectual capital (IC) of football clubs.

This work is carried out using an econometric model that includes 658 observations of crowd judgments versus their transfer fees, for the best footballers of the three major European Leagues between 2006 and 2018. To make the model more parsimonious, the set of independent variables that really add value has been found across the stepwise methodology.

The significant differences between both models are analyzed, integrating previous academic literature based on the existence of negotiation elements in prices, and in the capacity of crowdsourcing to explain assessments of football players, from a dynamic perspective, alongside a new variable: injuries, which has not been explained before.

The broader assessments from crowdsourcing should be integrated in intellectual capital disclosures (ICD), from a critical, novel and dynamic perspective, creating a virtuous cycle between managers and fans, to increase transparency of financial information for stakeholders and society.