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1 – 5 of 5This case is focused on the allegations of corrupt practices within the strategic leadership at the board level of an international sports organization – the Asian Football…
Abstract
Theoretical basis
This case is focused on the allegations of corrupt practices within the strategic leadership at the board level of an international sports organization – the Asian Football Confederation (AFC). The theoretical premise is that the practices and decisions of the AFC’s leadership will have a profound impact on the AFC’s performance. However, because the AFC is the continental governing body, the impact is theorized to be far larger, across an entire industry. In writing the case, the authors were guided by upper Echelons theory (UET) (Hambrick and Mason, 1984; Hambrick, 2007; Hambrick et al., 2015), which argues that an organization’s strategic direction is directly influenced by its leader’s values. The authors selected UET for the theoretical framework, as it considered a spectrum of factors from industry, leader characters (values), their choices and the results of their actions. Such a comprehensive theory aligned with the complexities of the AFC and its leadership. In constructing the case roadmap using UET, the authors first adopted an ethnographic methodology. This was motivated by the fact that one of the authors had been embedded for many years as part of the leadership team at the AFC. His career work notes based on direct interactions and observations of these leaders helped in two ways: to identify the complex set of personal characteristics of these leaders (i.e. background, their careers outside football and financial standing) as they originated from 47 different nationalities. UET refers to these as observable factors to better theorize the hidden intentions of their alleged corrupt behaviors. UET identifies this second set of non-observable factors as psychological factors. These two different sets of observations combined helped to theorize their drivers, intentions and strategic decisions (options). For the second methodology, the authors accessed archival, publicly available media news and reports to understand the consequences of their actions to the AFC and the Asian football industry. This completed the final parts of the UET framework (Yamak et al., 2014).
Research methodology
This case relied on information that was widely reported within international media, press announcements by various organizations, published decisions by tribunals and publicly available information on the AFC. All of the names and positions in this case are actual persons.
Case overview/synopsis
This case focuses on the role and influence of the AFC as the Asian football governing body. The AFC is a member of the world football governing body – FIFA. With a US$1bn budget, the AFC has a strong impact on the future of football among Asia’s three billion people. Unfortunately, the AFC has been unable to create the value in its sports events or properties that attracts fans and investors. Central to this problem is the issue of corruption and corruption allegations within the AFC, especially with regard to its leadership. This case, therefore, attempts to highlight the various issues, discusses the circumstances around these challenges and brings forth the complexities of leading a truly international organization across 47 countries. Such factors are then tied to the value of the organization’s products or services in the marketplace.
Complexity academic level
The case is written and designed for a graduate level (MBA) class or an upper level undergraduate class such as corporate strategy, leadership, international management, international marketing, contemporary issues in management, cross-cultural management, sports management and sports marketing. In general, the case will also be a good fit for courses that discuss leadership, organizational strategy, organizational structure, organizational ethics and organizational behavior.
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Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable…
Abstract
Theoretical basis
Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable competitive advantage (SCA), a long-term competitive advantage that is extremely difficult to duplicate by another firm, when it meets four criteria (i.e. not imitable, are rare, valuable and not substitutable). In the context of this case, we believe there are three sources of SCA to be discussed using RBV – the major league soccer (MLS) team player roster, the use of artificial intelligence (AI) technologies to exploit this roster and the league’s single-entity structure: • MLS players: it has been widely acknowledged that a firm’s human resource talent, which includes professional soccer players (Omondi-Ochieng, 2019), can be a source of SCA. For example, from an RBV perspective, a player on the Los Angeles Galaxy roster: > cannot play for any other team in any other league at the same time (not imitable and are rare), > would already be a competitive player, as he is acquired to play in the highest professional league in the country (valuable) and > it would be almost impossible to find a clone player matching his exact talent characteristic (not substitutable) anywhere else. Of course, the roster mix of players must be managed by a capable coach who is able to exploit these resources and win championships (Szymanski et al., 2019). Therefore, it is the strategic human resource or talent management strategies of the professional soccer team roster that will enable a team to have the potential for an SCA (Maqueira et al., 2019). • Technology: technology can also be considered a source of SCA. However, this has been a source of contention. The argument is that technology is accessible to any firm that can afford to purchase it. Logically, any MLS team (or for that matter any professional soccer team) can acquire or build an AI system. For many observers, the only obvious constraint is financial resources. As we discuss in other parts of the case study, there is a fan-based assumption that what transpired in major league baseball (MLB) may repeat in the MLS. The movie Moneyball promoted the use of sabermetrics in baseball when making talent selection (as opposed to relying exclusively on scouts), which has now evolved into the norm of using technology-centered sports analytics across all MLB teams. In short, where is the advantage when every team uses technology for talent management? However, if that is the case, why are the MLB teams continuing to use AI and now the National Basketball Association (NBA), National Football League (NFL) and National Hockey League are following suit? We believe RBV theorists have already provided early insights: > “the exploitation of physical technology in a firm often involves the use of socially complex firm resources. Several firms may all possess the same physical technology, but only one of these firms may possess the social relations, cultural traditions, etc., to fully exploit this technology to implementing strategies…. and obtain a sustained competitive advantage from exploiting their physical technology more completely than other firms” (Barney, 1991, p. 110). • MLS League Single-Entity Structure: In contrast to other professional soccer leagues, the MLS has one distinct in-built edge – its ownership structure as a single entity, that is as one legal organization. All of the MLS teams are owned by the MLS, but with franchise operators. The centralization of operations provides the MLS with formidable economies of scale such as when investing in AI technologies for teams. Additionally, this ownership structure accords it leverage in negotiations for its inputs such as for player contracts. The MLS is the single employer of all its players, fully paying all salaries except those of the three marquees “designated players.” Collectively, this edge offers the MLS unparalleled fluidity and speed as a league when implementing changes, securing stakeholder buy-ins and adjusting for tailwinds. The “socially complex firm resources” is the unique talent composition of the professional soccer team and most critically its single entity structure. While every team can theoretically purchase an AI technology talent management system, its application entails use across 30 teams with a very different, complex and unique set of player talents. The MLS single-entity structure though is the resource that supplies the stability required for this human-machine (technology) symbioses to be fully accepted by stakeholders such as players and implemented with precision and speed across the entire league. So, there exists the potential for each MLS team (and the MLS as a league) to acquire SCA even when using “generic” AI technology, as long as other complex firm factors come into play.
Research methodology
This case relied on information that was widely reported within media, press interviews by MLS officials, announcements by various organizations, journal articles and publicly available information on MLS. All of the names and positions, in this case, are actual persons.
Case overview/synopsis
MLS started as a story of dreaming large and of quixotic adventure. Back in 1990, the founders of the MLS “sold” the league in exchange for the biggest prize in world soccer – the rights to host the 1994 Fédération Internationale de Football Association World Cup before they even wrote up the business plan. Today, the MLS is the highest-level professional men’s soccer league competition in the USA. That is a major achievement in just over 25-years, as the US hosts a large professional sports market. However, MLS has been unable to attract higher broadcasting value for its matches and break into the highest tier of international professional soccer. The key reason is that MLS matches are not deemed high quality content by broadcasters. To achieve higher quality matches requires many inputs such as soccer specific stadiums, growing the fan base, attracting key investors, league integrity and strong governance, all of which MLS has successfully achieved since its inception. However, attracting high quality playing talent is a critical input the MLS does not have because the league has repeatedly cautioned that it cannot afford them yet to ensure long-term financial sustainability. In fact, to guarantee this trade-off, the MLS is one of the only professional soccer leagues with an annual salary cap. So, the question is: how does MLS increase the quality of its matches (content) using relatively low cost (low quality) talent and still be able to demand higher broadcast revenues? One strategy is for the MLS to use AI playing technology to extract higher quality playing performance from its existing talent like other sports leagues have demonstrated, such as the NFL and NBA. To implement such a radical technology-centric strategy with its players requires the MLS to navigate associated issues such as human-machine symbioses, risking fan acceptance and even altering brand valuation.
Complexity academic level
The case is written and designed for a graduate-level (MBA) class or an upper-level undergraduate class in areas such as contemporary issues in management, human resource management, talent management, strategic management, sports management and sports marketing. The case is suitable for courses that discuss strategy, talent management, human resource management and brand strategy.
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