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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 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.

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.

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.

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.

This “mini-case” summarizes the beloved Chicago Cubs' many years of futility and remarkable turnaround in the early teens of the twenty-first century. Central to the case is the concept that despite being an incredibly popular, billion-dollar franchise holding a special place in the hearts of Chicagoans for more than a century, the organization's sale from the Tribune Company in 2009 to the Ricketts family effectively required a full reboot of the company's infrastructure, akin to a startup or to a “carve-out” situation popular in the private equity world. The case resonates because the brand is easily recognizable in an industry with the unique dynamics of professional sports, and yet the company's situation features similarities to any lower-profile organization trying to build or rebuild its SG&A infrastructure from scratch.

This case gives students the opportunity to explore the concept of organizational status as a competitive asset. CEO Noura Abdullah of Saudi furniture retailer Aura founded her company as a middle-market furniture and home goods store offering affordable yet design-savvy products. By many accounts, both tangible and intangible, Aura had been a success. By late 2014, Aura had drawn considerable attention from several high-status Saudi wedding planners and media outlets, including Harper's Bazaar Interiors, Elle Decor, and Martha Stewart Weddings. This attention yielded unusually strong conversion rates (the percentage of visitors to the store who made a purchase). Foot traffic, on the other hand, remained unexpectedly low, leading Abdullah to wonder whether the high-status affiliations had unintentionally signaled to mid-market consumers that they would not be able to afford Aura's products, keeping such customers away. Students will decide, along with Abdullah, how to handle this unique “problem” as Aura enters a growth phase to other Saudi and Middle Eastern markets.

This case was designed not only for MBA and executive education but also undergraduate courses in human resources (HR), leadership development, HR metrics and change management. It is ideal for introducing the concepts of diversity, equity and inclusion (DE&I), the balanced scorecard and talent retention.

The case deals with initiating and integrating DE&I programs into a company. It highlights how and when to start, change management issues during roll-out and convincing senior leadership why a program such as the one the protagonist started adds value to an organization.

In early 2018, Kate McKinnon, AVP of HR for CareerStaff Unlimited (CSU), a temporary staffing company and division of Genesis HealthCare, reflected on the late 2016 decision to develop women for leadership roles at the company. With a rather unconventional implementation of the Women’s Leadership Group (WLG), Kate successfully developed fifteen female individual contributors, many of whom were promoted to leadership roles by early 2018. Kate was concerned about maintaining the momentum necessary to continue (and expand) the program of identifying, developing, promoting, and retaining women and other diverse employees across the company. She also wanted to measure a clear correlation between the WLG and CSU’s financial and customer outcomes. It was time to plan phase two of the program, including further improvement of the DE&I efforts at CSU.

The learning outcome of this paper are as follows: focused programs, led by courageous and committed leaders, improve gender equity. DE&I is a business imperative, as much as a legal/risk challenge. To be understood, approved and communicated, HR Initiatives must add value and be aligned with the company strategy along with financial and customer outcomes. People development and growth contribute to top talent retention.

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Given the issues the USA is encountering after the George Floyd death and protests, this is a good way to demonstrate how courageous leadership can start to facilitate change in organizations.

CSS 6: Human Resources.