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In August 2007 the Mainsail II SIV-Lite was frozen by its trustee as a result of the ongoing credit crisis. The state of Maine held $20 million of Mainsail commercial paper in its Cash Pool portfolio, a short-term portfolio that puts temporary, excess state revenues to work. When word of the potential loss became public, the Treasurer came under attack. The case introduces the functions of a state Treasury department, with particular emphasis on the investment objectives and guidelines for the cash pool as well as its composition. The case reviews the events leading up to and including August 2007, the month when the credit markets first began to seize and when the financial crisis effectively began. It examines securitization, structured finance, and the Mainsail SIV-Lite structure in some detail.

The impact of corporate governance on internal controls and quality of financial disclosures.

Analysis of a real financial fraud event for a non-US multinational corporation. The case relies on accessing and analyzing annual reports for the firm, both before and after the fraud. Additional information on industry governance characteristics are provided in the case itself so that students can compare the firm to the industry.

This business case is centered on the analysis of Schneider Electric, a French multinational corporation, which had to restate their financial statements in 2011 because of accounting fraud. Following this event, Schneider undertook major changes in their board structure to improve internal control mechanisms. This pedagogical business case familiarizes students with international differences in ownership and board structure and emphasizes potential corporate governance changes after financial statement fraud.

Managerial finance, corporate finance, international finance, auditing. This case is more appropriate for upper-level undergraduate and graduate courses.

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.

The case introduces students to the nature of collateralized debt obligations (CDO) and the CDO origination process, with emphasis on the corporate structure of the special purpose vehicles, cash flows to various CDO tranches, and motivation behind CDO origination. Students will learn to quantitatively evaluate the risk-return profile of CDO tranches with emphasis on the equity tranche (also known as “toxic waste”). This is ideal for MBA and advanced undergraduate level courses on financial markets, financial institutions, and investments. In the case, an associate at the Debt Capital Markets desk of Lehman Brothers prepares a CDO issuance for Western Asset. Western Asset had been contacted by a group of commercial banks eager to sell senior secured bank loans and high-yield corporate bonds to lower their capital requirements and free up capital for additional lending.

The ‘Game’ is really a multi-industry case that aims at developing participants' awareness of the links between firms' strategic choices and the financial structures the choices engender. Participants are provided with Balance Sheet percentages and common ratios for firms in 12 different industries and list of different businesses and asked to match the figures with the kind of business. The goal is for participants to understand how industries' operating models impose certain financial structures.

The case is run as a kind of mystery game but leads to rather sophisticated analysis of industry and business models. The case leads students to a better understanding of the essential concepts of a business strategy course: 1) external analysis by helping students ‘see’ the structures of different industries; 2) making clear the link between the competencies and capabilities needed by firms in their internal environment to successfully compete in their industries by matching the key success factors at work; 3) providing a tangible illustrations of the competencies that must be developed to successfully pilot business strategies like cost leadership and differentiation; and, 4) developing insight into integration and outsourcing strategies and their effects.

A detailed Teaching Note accompanies the case.

The case describes the structure of Infrastructure Investment Trusts (InvITs) created and launched in Indian markets in 2017. Besides introducing InvITs and their potential role in relaxing the financing constraint created by the lack of an active corporate debt market in India, the case can help in analysing why the market is discounting the IndiGrid unit price relative to its issue price. It also offers an opportunity to value IndiGrid's Patran acquisition.

The first company under the Amara Raja Group was established in 1984, i.e. Amara Raja Electronics Limited (AREL) followed by Amara Raja Batteries Limited (ARBL). Its founder leveraged the presence of his family in Renigunta, a rural village in South India, and chose to start the industry there to create employment opportunities. Preference is given to local population in all ARG enterprises. Despite its strong people orientation, the HR department/function at ARG got strengthened only after Jaikrishna strived to make it central to business. The department's evolution has been demarcated in three phases. The first and second phase saw few initiatives, and during the third phase the HR department was structured according to the Dave Ulrich Strategic HR Model. While this structure had been successful until now, certain sections in ARG still doubted its sustainability.

This case was developed from the author’s personal experience as a participant in one of the health taskforce subcommittees. The author also sought the inputs of the Vice President of Health and Medical Education, the Dean of the Health Sciences College, the Student Affairs Assistant Dean of the Pharmacy College and the previous Vice President of Health and Medical Education. Moreover, secondary data were obtained from the office of the Vice President of Health and Medical Education at Qatar University (QU).

The government of Qatar has consistently provided generous funding for QU over the years. However, recent economic challenges, such as drops in oil prices, have had a negative impact on the country’s GDP and export revenue. In response, QU began to implement a new organizational structure. Specifically, the university proposed merging the three health-related colleges (health sciences, medicine and pharmacy) into a single cluster called the health education cluster. This decision was supported by a broad benchmark of approximately 40 universities worldwide, as well as input from various stakeholders within the university. Forming a cluster was expected to benefit the organization as a whole. However, the decision faced resistance and challenges that required investigation by top management. Would the new organizational structure be accepted by all? Was it feasible to have a single cluster that encompassed three distinct departments within the organization? These are examples of the questions that this case study addresses.

This compact case is suitable for a case study in basic undergraduate, postgraduate and advanced courses in Strategic Management at a business school. The case highlights the need to restructure an organization and the use of strategy formulation and implementation in the framework of management.

This paper aims to first, identify the external and internal factors that a company needs to analyze when formulating its digital platform strategy. Based on the framework of PESTNPG (political economic social and culture technological population and globalization) and internal analysis a company should analyze both internal and external factors to formulate its digital platform strategy. For companies from emerging markets the institutional-based market created by national or local governments is important for digital platform strategy. Second dynamic capability theory and its linkages to digital platform strategy. The dynamic capabilities view is considered as a primary theoretical lens in the strategy literature to analyze a company’s strategies to achieve sustainable competitive advantages. To carry out a successful digital platform strategy companies need to build strong dynamic capabilities to capture or create opportunities and reconfigure their resources simultaneously. Third the advantages and disadvantages of different digital platform strategies (i.e. an independent digital platform and online–offline integration platform) and the possible consequences and risks of different strategies. It is important to evaluate different types of digital platform strategies that require different capabilities in terms of business structure product structure revenue structure organizational structure and technology architecture. A company needs to link these capabilities to a digital platform strategy to enable the integration (or separation) of online business with offline business. It also increases the accuracy and efficiency of online business. Fourth key points of digital platform strategy implementation. Companies need to identify key profit models for their digital platform to promote business growth and financial returns. It is equally important to increase customer value by leveraging its digital exhibition platform and to learn to use digital technology to foster organizational dematerialization.

Zhejiang Meorient Commerce & Exhibition Inc. (hereinafter referred to as “Meorient”) was a leading company in the exhibition industry in China. The unexpected outbreak of COVID-19 plunged Meorient into a state of emergency that forced it to fight for survival. Further, China had launched a national strategy of Digital China, which created new market opportunities for Meorient. As a result, Meorient gradually developed and launched its digital exhibition services in 2015. Meorient suffered significant losses in 2020 due to COVID-19 and had to formulate a new strategy based on a digital exhibition platform in 2021. Chairman Pan Jianjun had two options. One was a purely digital platform strategy without the original offline exhibition business. The other one was an online and offline integration strategy. Which option was the best way forward for Meorient? Pan had to make a choice. Some of the top management team members believed Meorient should completely transform into a digital platform company and provide comprehensive online digital exhibition services. Over the previous 20 years, Meorient had accumulated a large amount of data from domestic and foreign exhibitors and professional buyers and had gradually developed a digital exhibition platform. It was one of the companies that pioneered digital transformation within China’s exhibition industry. More conservative thinking held that Meorient's strategy should focus more narrowly on the integration of online and offline exhibition businesses. Toward the post-pandemic era, China’s national strategy of “Digital China” accelerated the development of digital infrastructures. During such critical transitional period, Meorient had to choose wisely if it was to sustain its profits or even survive.

The case is aimed at students in undergraduate, MBA, short course executive, EMBA or other executive education programs, especially where digital transformation is featured subject matter.

Teaching notes are available for educators only.

CSS 11: Strategy

In early 2017, after launching its successful “Greenhouse-in-a-Box” pilot project in India with fifteen smallholder farmers, Kheyti, a non-profit agricultural technology (AgTech) social enterprise, was struggling with several decisions in developing and growing its business. Kheyti was launched in 2015 to help smallholder farmers battle poverty and income variability by providing affordable technologies bundled with services. Over eighteen months, the team had developed a low-cost and modular greenhouse product to which it added financing, inputs, training, and market linkages to create a comprehensive “full-stack” solution for small farmers. The pilot project was a success in many ways, but Saumya, Kheyti's co-founder and head of product, was concerned that it revealed shortcomings that could severely affect the viability and scalability of Kheyti's solution.

Saumya had some important decisions to make. Should Kheyti redesign the product from scratch, or find other ways to reduce the cost for early adopters? Should it rely on upfront revenues from sales of the greenhouse, or consider developing an innovative financing or contract farming model? Kheyti's dwindling cash reserves meant that these decisions were urgent and critical. The path chosen now would determine whether the startup would move beyond the pilot stage and achieve its vision of serving 1 million farmers by 2025.