Case studies

The COO for Suape Container Terminal, the largest deep–water port in Brazil's Northeast must consider a proposal presented by the users' council that calls for the establishment of a reservation scheme that minimizes the risk of docking delays. Under this proposal, ocean carriers, on the one hand, agree to pay a reservation fee that significantly increases revenue for Tecon Suape. On the other hand, they expect Tecon Suape to compensate them financially when a berth is not available upon vessel arrival. Tecon Suape's management team must evaluate that suggestion, as the team prepares to enter contractual negotiations with the users.

This case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), classification and regression trees (CART), random forests, graduate boosted trees (xgboost), neural networks, and support vector machines (SVM).

The case is suitable for an advanced data analysis (data science, machine learning, and artificial intelligence) class at all levels: upper-level business undergraduate, MBA, EMBA, as well as specialized graduate or undergraduate programs in analytics (e.g., masters of science in business analytics [MSBA] and masters of management analytics [MMA]) and/or in management (e.g., masters of science in management [MScM] and masters in management [MiM, MM]).

The teaching note for the case contains the pedagogy and the analyses, alongside the detailed explanations of the various techniques and their implementations in R (code provided in Exhibits and supplementary files). Python code, as well as the spreadsheet implementation in XLMiner, are available upon request.

This case was designed to facilitate discussion of how a cyberattack was remediated by a major public university. Students are challenged to think through how to best manage the remediation project, including the application of best practices such as risk management, stakeholder management, communication plans, outsourcing/procurement management, and cyberattack remediation. The Phoenix Project was a success from multiple perspectives, and as such provides a useful example of how to manage an unplanned, mission-critical project well.

At three o'clock in the morning on September 10, 2001, Thierry Hautillac, a risk arbitrageur, learns of the final agreement between Pinault-Printemps-Redoute SA (“PPR”) and LVMH Moët Hennessy Louis Vuitton SA (“LVMH”). After a contest for control of Gucci lasting over two years, PPR has emerged as the winner. PPR and LVMH have agreed for PPR to buy about half of LVMH's stock in Gucci for $94 per share, for Gucci to pay an extraordinary dividend of $7 per share, and for PPR to give a two and a half year put option with a strike price of $101.50 to the public shareholders in Gucci. The primary task for the student in this case is to recommend a course of action for Hautillac: should he sell his 2% holding of Gucci shares when the market opens, continue to hold his shares, or buy more shares? The student must estimate the risky arbitrage returns from each of these choices. As a basis for this decision, the student must value the terms of payment and consider what the Gucci stock price will do upon the market's open. The student must determine the intrinsic value of Gucci using a DCF model as well as information on peer firms and transactions. The student must consider potential synergies between Gucci and PPR and between Gucci and LVMH. The student must assess the likelihood of a higher bid, using analysis of price changes at earlier events in the contest for clues.

In early 2012, an equity analyst, was examining the jet fuel hedging strategy of JetBlue Airways for the coming year. Because airlines cross-hedged their jet fuel price risk using derivatives contracts on other oil products such as WTI and Brent crude oil, they were exposed to basis risk. In 2011, dislocations in the oil market led to a Brent-WTI premium wherein jet fuel started to move with Brent instead of WTI, as it traditionally did. Faced with hedging losses, several U.S. airlines started to change their hedging strategies, moving away from WTI. But others worried that the Brent-WTI premium might be a temporary phenomenon. For 2012, would JetBlue continue using WTI for its hedges, or would it switch to an alternative such as Brent?

This case could be used in entrepreneurship, strategy, and small-business courses. It presents classic issues regarding successful start-ups such as how to choose from a multitude of growth opportunities; how to pace growth so as not to dilute quality control and financial risk tolerance; and how to choose a strategic focus.

This case challenges students to apply financial reporting concepts pertaining, most notably, to liabilities and expenses in a specific corporate situation. In the context of an interesting, but noncomplex, technical accounting issue, students debate the best way for Adenosine Therapeutics to present its compensation arrangements in its financial statements. In addition, this case also prompts students to debate the best way for a growing company, with cash constraints, to provide incentive and maintain top employees.

This case raises the question: How does a company reasonably estimate and record entries for uncollectible trade receivables, and under what circumstances are receivables written off as uncollectible? The required accounting transactions for the case involve estimating a receivables allowance both as a percentage of sales and as a percentage of accounts receivable and making specific account judgments under the direct write?off method. The subjective issues involve analyzing and assessing a company's methods of collection and accounting for bad debts.

This case describes the evolution of an entrepreneur's venture-capital fund-raising from seed-stage financing through later-round efforts. The case focuses on where the “action” is in venture finance: the exploitation of social capital by an entrepreneur and investors. Much of the teaching materials on venture finance focus on the economics of financing; while these materials provide useful information about the mechanics of valuation and how to structure venture-capital agreements, they miss the social side of venture-capital investing. The case illustrates the theoretical concept that social capital (i.e., a person's relationship to other people in society) influences venture finance. The case can be used in a class on entrepreneurship or venture finance.

Students act as outside analysts attempting to determine how Alfin will finance its expected growth based on sales of antiwrinkle cream.