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This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.

This case invites students to assess the impact that Brexit, the withdrawal of the United Kingdom from the European Union, might have on a New York–based hedge fund's portfolio and, specifically, its UK assets. The case is designed to prompt students to make market assumptions and investment hypotheses based on a combination of numerical data and qualitative information. It requires no numerical computations; instead, it asks the student to interpret both markets' short-term reactions to the Brexit vote and strategy shifts from UK and European business leaders in order to evaluate longer-term implications for the economies of the United Kingdom, Europe, and the world.

The writing of this case study was triggered by the numerous media reports in 2020 that talked about the EU nations losing its solidarity. EU being a very appropriate example of economic, monetary and customs union while teaching theories of economic integration and international relations, the post-pandemic approach of EU leadership to rebuild the crisis-ridden member nations seemed an excellent material for developing a teaching case study.

The case study was written based on secondary data and published information available. Enough desk research was undertaken to build the characterisation of the protagonists and due diligence done to chronologically report all facts of the case as the story developed. It was decided to build the epilogue into the case study so that the case analysis had enough depth.

The case is set in 2020 when the global economy was reeling under the massive impact of a lockdown and the aftermath. The case study examines the model of economic union in international business and the various challenges that governance of an association of nations such as the 27 member EU can throw up. It examines the conflict of interest that can arise among member nations during critical circumstances such as the pandemic and its massive tolls.

EU had established itself as a critical international trade player and had already proven their might as a united entity to the world trade partners, given the fact that they were not only a customs union but also a monetary union. In this scenario when the pandemic threw them into the whirlwind of lockdown-induced crisis, the united front of the mighty EU all but crumbled. As the worst-hit economies of Italy and Spain struggled to pull themselves back to normalcy, EU experienced one of its worst solidarity crises.

EU’s president Angela Merkel and ally French President Emmanuel Macron with support from the EU Council’s President Charles Michel stepped forward to resurrect the badly hit economies. They viewed this as the best opportunity to bring about a united front by coming together at Brussels for a summit when lockdown eased up in July 2020. It was to be a show of unity to jointly bail out the severely affected member nations by grants rather than loans. The summit, however, snowballed into bitter arguments and open bickering between the wealthy and not-so-wealthy members, and they could not agree upon the issue of debt vs aid. The fact that the EU was an agglomeration of 27 nations, which were far from homogenous in socioeconomic status, not to speak of divided political ideologies, only added dimensions to the dispute. Negotiations repeatedly hit roadblocks. Can the EU leaders lead their bitterly divided house to a consensus?

The case is suitable for graduate and post-graduate levels. Management courses where international business studies, international trade blocs and global leadership are part of curriculum can use the case to teach concepts of “Regional economic integration”, “Economic and Political union” and theories of “International relations” and “Negotiation”. It can also be ideally used in an executive management programme on “Global Leadership” to highlight the complexities of “governance of international associations” and “consensus building amidst diversity”.

In January 2011, during the World Economic Forum's annual meeting in Davos, Switzerland, Jason Sterling, a hedge fund manager, was conducting online research to see if he could trade on any newsworthy information emerging from the summit. Sterling's fund traded primarily in sovereign debt, and he needed to figure out if European leaders would be able to come up with a viable solution to the crisis or whether the debt crisis would lead to the default of several European nations. He knew that if a solution was not found in the coming weeks, the sovereign debt markets could be thrown into turmoil.

A hedge-fund strategist had two decisions to make. First, what was the path of core euro zone long-term interest rates likely to be over the next year? Was the dramatic decline in German long rates over the past few years an aberration that would soon be reversed, or was it part of the “new normal” that would persist for some time? Second, how would periphery long rates evolve relative to core rates? That is—the spread between long rates in the likes of Greece, Spain, and Ireland and those in Germany—how would they evolve over the next year? Was the dramatic divergence in euro zone long rates likely to persist, or would the coming year see a continuation of the modest reconvergence that has occurred since mid–2012? He knew many factors influenced long-term interest rates; he would have to use his entire toolkit to address this issue. The evidence was in no way clear-cut. Some factors pointed toward lower German rates, some toward higher, some toward a widening of euro zone spreads (even a dissolution of the euro zone as we know it?), and some toward reconvergence.

Public sector management, policy-making, sustainable development, post-Communism.

The case is designed to be used with undergraduate-level and MBA/MPA students. With undergraduate levels, the case can be used on the subject strategic management. In MBA/MPA programs, this case can be used in subjects such as strategic planning for public administration. Here, it can be stressed as being about the problems faced by a country on the long road toward democracy. Issues to be discussed in class include: environmental scanning, competitiveness, public policies and strategic agenda.

At the most general level, the case allows for the analysis and evaluation of the strategy and performance of the Albania from 1928 to 2014 along economic, political and social dimensions, using the techniques of country analysis (see Country Analysis Framework, HBS No. 389-080). Depending on time limitations and the particular objectives of the individual instructor, the case can be used to explore all phases of the nation's development or, alternatively, to focus on a specific era, such as Albania, in the way toward a free market economy. The case provides a setting in which to explore the diamond model as a tool for analyzing competitiveness and setting the economic policy agenda. In the Albania case, we highlight diamond analysis in an emerging economy. Albania also highlights the transition from a planned economy to a market economy, and the importance of a cross-border regional integration in competitiveness.

The case is written to serve a number of purposes: Understanding the problems and challenges to sustainable development, especially in a post-communist emerging economy like Albania. The transition/changes that all policymakers have to go through in their efforts for sustainable development of the country. To discuss production factors and the importance of a growth model based on the production factors.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

In 2017, it was a challenge to assess the future of global trade. It was an open question whether the US financial crisis and the recession that it triggered would mark a turning point for the liberal post–World War II world order. If one looked toward Europe, China, Latin America, and Japan, there was a flurry of activity. New trade agreements were being completed and pursued. In Washington, DC, on the other hand, President Donald Trump seemed set on ripping apart and/or renegotiating any trade deal the United States was ever part of.

This case explores Trump's opinions and emerging policy stance on trade, bilateralism, and the global economy, among others. It also gives an overview of the World Trade Organization (WTO) and the General Agreement on Tariffs and Trade (GATT) and asks whether the Trump presidency would constitute a major challenge to the WTO and what it stood for in 2017.

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.

In June 23, 2016, voters in the United Kingdom have just approved a referendum calling for leaving the European Union. The case describes the motives for European integration, the rise of separatist movements in the United Kingdom and elsewhere, and the referendum process itself.

The purpose of this case is to provide a contemporary counterpoint to a discussion of the economic and political motivations for the American Civil War. Dominant themes highlighted here are economic nationalism, political nationalism, cultural centrism and ethnocentrism, and populism.

The purpose of this study is to use design thinking principles to understand the failure of the ‘new’ European Super League, and also understand how it could be redesigned.

This case has been developed from secondary sources, including news reports, social media sites, annual reports and websites of the Union of European Football Associations and the European football clubs. This case was classroom-tested with post-graduate management students in a design thinking course in May 2021 at an Indian business school, S.P. Jain Institute of Management & Research, in Mumbai, India.

In April 2021, a new football league – the European Super League, is announced as a breakaway rebel league, in direct competition with United European Footballers Association's Champions League. It is backed by the top 12 European clubs and officials in European football, besides the US investment bank, JP Morgan. The new league is touted as one intended to save football. It is, however, denounced by fans and shunned almost universally. The league, which has been planned for the past three and half years, faces collapse. Why did the European Super League fail? How could the founders design a new league?

This case could be used in an undergraduate or MBA classroom or an executive education programme in a design thinking course. It can also be used to teach marketing courses such as marketing strategy, new product development and consumer behaviour.