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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 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.

This paper studies the interactive valuation discourses of an online user community (transfermarkt.de) that seeks to determine market values for soccer players. Despite their seemingly casual nature, these values have featured in newspapers, transfer negotiations, academic research, and capital market communication – and have thus become reified.

The paper employs netnographic research methodology to collect and thematically analyze a wide range of user entries on the platform. These entries are studied using theoretical insights from the sociology of quantification and valuation.

The analysis reveals how values are constructed in constant interaction between value-proposing users and value-justifying “experts.” This dynamic form of relational valuation positions players relative to one another as well as to actual transactions on the transfer market. In the absence of authoritative guidelines, it is this possibility and affordance for interaction that enacts a coherent valuation regime. The paper further reveals the platform's response to a disruptive event, which risked bringing the user-expert dynamics to a halt, requiring intervention from the platform to repair its valuation frame.

The paper responds to increased scholarly interests in the valuation of professional athletes. It contributes to the extant literature on valuation, first, by analyzing the dynamic valuation work that feeds into the social construction of values and, second, by studying platform participation and user interaction in a socially engineered online space.

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.

Football clubs invest in the implementation of scientific insights that improve the quality of youth academies. In the long run, clubs expect their youth academy investments to result in better trained players. The purpose of this paper is to quantify the impact of the attended youth academies' quality on the future market value of a player.

A dataset containing 94 players trained in 13 different academies has been constructed. The dataset contains characteristics of the players and information on the quality of their attended academies. The impact of the quality of the attended academies on players' future market values was estimated empirically through multiple regression analysis.

The quality of a youth academy has a significant positive impact on a player's market value, which in turn is correlated with higher future wages for players and transfer fees for clubs.

Clubs are advised to pay sufficient attention to investments in their youth academy. This will eventually lead to better trained players and higher revenues. Players in turn should strive to be part of the best academies that provide good training and the opportunity to become a top-earning player. For policymakers, such as football federations, the results imply that stimulating club investments in academies can lead to better national team performances.

The impact of the quality of a youth academy on an individual professional football player's career has never been quantified in the literature before. To this end, a new variable has been constructed using scientific assessments of youth academies.

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.

The football industry presents a unique setting for intellectual capital analysis. This study aims to investigate the online intellectual capital disclosure level of top football clubs and to analyse the impact of some explanatory factors on the level of information provided.

The authors use manual content analysis of the websites to measure intellectual capital disclosure levels along with a regression analysis on a sample of the 80 football clubs that qualified for the group stages of the 2019–20 UEFA Champions and Europa League.

Empirical results reveal that football clubs disclose a limited amount of information regarding intangibles on their websites. In addition, they show that sports performance, technical market value and social media visibility have a positive effect on the disclosure level.

This study extends the horizon of intellectual capital disclosure to a sector (football) that is currently under-explored and broadens the list of antecedents of the intellectual capital disclosure level.

This case study demonstrates how a start-up professional sport league, the Women's United Soccer Association (WUSA), successfully incorporated an interactive fan festival into its inaugural Championship Weekend. Prior to revealing the details of the WUSA event, the history and rationale of interactive fan festivals is outlined. Also highlighted are the key marketing concepts applied (relationship marketing, brand management, experiential branding) in order to assist sport properties interested in using the interactive fan festival as a marketing tool in the future.

In 2005 Manchester United was taken over by US businessman Malcolm Glazer, in part because of the club's brand name prominence in the global sport of soccer. This paper examines how Manchester United rose to a pre-eminent position in world football through its on-field performances and its off-the-field management strategies. It shows how the club took its storied history into world markets to take full advantage of globalisation, the opportunities extended through the English Premier League's reputation and developments in global media technologies. Astute management of club resources is identified as the major factor in global brand management.

A 30-item Sport Interest Inventory (SII) was developed and validated for measuring ten unique motives related to consumer interest at an international sporting event. Spectators (N=1,321) attending five different US venues during the 1999 FIFA Women's World Cup were administered the SII. Analysis revealed that sport and team interest, excitement, supporting women's opportunity in sport, aesthetics and vicarious achievement explained 35 per cent of the variance in spectators' interest in the event. Results provide sport marketers with consumer-based marketing strategies, particularly for women's sport.