Case studies

In 2007, Best Buy was the leading electronics retailer in the United States with more than 941 stores, revenue totaling $31 billion, and a market cap of $21 billion. In 2005, Best Buy had adopted a new business model, culture, and customer-segmentation template called Customer Centricity. This move created volatility in the price of Best Buy stock because of the higher-than-expected employee costs that went with this new way of doing business and the difficulty of executing the old and the new business models simultaneously while the new model was rolled out. Best Buy responded to Wall Street's short-term focus in a myriad of ways. It first asked for investor patience, and stressed the strong operating results achieved in Best Buy stores operating under the new model. But in June 2007, after the stock dropped again, the CEO knew he had to decide whether to open more Best Buy stores, increase the company's dividend, or increase the stock-repurchase program.

This short case could be handed out at the end of class discussion on “J&L Railroad” [UVA-F-1053] in preparation for the following class, or if students are more experienced with hedging and option pricing, the instructor may choose to cover both cases in a single class period. It is the companion case to “J&L Railroad” [UVA-F-1053], and presents more technical issues regarding the hedging problem by requiring students to understand option-pricing principles. The board likes the CFO's hedging recommendations, but it wants a more careful analysis of the bank's prices for its risk-management products: the caps and floors. Besides demanding an understanding of option pricing, this case puts particular emphasis on the calculation and use of implied volatility.

The Home Depot case is a great story. It's about entrepreneurship, growth, CEO leadership, and the dramatic impact, good and bad, a CEO can have on a company's growth culture, strategy, and performance. Home Depot had faced market growth challenges for the last seven years as it tried in numerous ways to reignite its growth engine. The case explores the growth strategies of CEOs Bernie Marcus, Arthur Blank, and Blank's successor Bob Nardelli, a former GE executive. After examining Home Depot's growth history, the case challenges students to devise a growth strategy for the company under a new CEO.

Tiffany & Company was the leading U.S. luxury jewelry brand, generating more than $2.6 billion in revenue through 167 retail outlets globally and from catalogue and Internet sales. For nearly 170 years, Tiffany had managed its brand. In February 2007, a hedge fund, Trian Fund Management LP, announced that it had bought a 5.5% stake in Tiffany, and became its largest shareholder. Trian believed that Tiffany was undervalued and stated that it wanted to help the company “improve its earnings per share by addressing various operational and strategic issues.” In response, Tiffany began to consider different actions to increase shareholder value.

TourAmerica is negotiating a master contract with Voyager Inn International (Bethesda) for hotel rooms during the 1995 tourist season. Issues under consideration include number of rooms during peak, mid-, and off-periods, room rates, breakfast prices, and the cost of ancillary services. While the hotel manager is evaluated on the basis of several criteria, including adjusted daily rates, occupancy rates, and food and beverage profitability, and is also provided with a utility scheme to facilitate trade-offs among the criteria, TourAmerica uses an effective cost per registrant (adjusted for intangibles). These two approaches provide an opportunity to contrast measurement schemes and to justify the use of utility functions. This case is a role-play exercise and must be used in conjunction with “Voyager Inn International” (UVA-QA-0463).

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.

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 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.

Lewis Byrd, a partner in the private equity firm Opportunity Capital Partners, is managing a number of interconnected issues. First, in his role as investment professional responsible for the firm's investment in a doghouse manufacturing company called Dogloo, he has to manage a relationship with an entrepreneur who has behaved in a way that has made coinvestors nervous about his skills as a CEO. The CEO, Aurelio Barretto, is a Cuban immigrant who has established a close confiding relationship with Byrd, who is an African American. Barretto has increasingly relied on Byrd to run interference for him with investors, while also providing the strategic advice that typically supports an investor-entrepreneur relationship. Another issue is that there is a potentially costly lawsuit looming involving copyright infringement by a larger, well-funded competitor in the pet products market. Byrd has to manage potentially volatile relationships while determining what's best for his firm from an investment standpoint and how best to advise Barretto to proceed. The case provides insights into the challenges in private equity investing that occur after the striking of the financial deal. The case also provides information for students about the technical and legal structure of private equity financing.

The case chronicles the development of Lumni, Inc., an international start-up offering innovative mechanisms for financing higher education. It focuses on: the details of decision making required to transform an idea into a viable business; building partnerships; the challenge associated with raising venture capital; and the challenges of creating a new market where human capital can be traded to finance higher education.

This case is suitable for courses in entrepreneurship and growing enterprises and management communication. It follows the step by step process of growing a business built on a strong culture that fosters high employee engagement and loyalty. The result for Leaders was low employee turnover, long-term relationships based on communication and trust, and being a finalist on the Wall Street Journal's 2008 Top Small Workplaces list.

This case illustrates how two entrepreneurs bootstrapped their start-up, overcame the challenges that accompany growth, and built a successful business while remaining socially responsible.

With Method standing at number seven on Inc. magazine's list of the 500 fastest-growing companies in 2006, cofounder Adam Lowry is searching for a biodegradable cleaning cloth to expand Method's line of “green” household products. Sustainable design principles have been a guiding force in Method's strategy, and being biofriendly is critical. So is sourcing in the United States. But only China can manufacture the corn-based cloth Lowry has in mind, and there is no way to certify that the product is free of genetically modified organisms. Lowry has to balance his firm's fundamental commitment to environmental sustainability against the fact that some retailers refuse to carry products containing GMOs.

Students at all levels explore the psychology of entrepreneurship and new product branding and marketing as a young IBM executive decides whether to become an entrepreneur. He must evaluate his business plan; seek advisors; and decide how much money it will take to get started. His product idea? On-the-go water for dogs. With market research complete and a team of advisors assembled, he must decide whether to take the plunge.

This case describes how eight entrepreneurs discover different opportunities for new businesses to exploit a single technological invention. The case focuses on the process of entrepreneurial discovery and its implications for the creation of new firms. Many of the teaching materials on entrepreneurship assume that entrepreneurs have already discovered an opportunity. While these materials provide useful information about the process of creating new enterprises, they miss the crucial first step in the entrepreneurial process: identifying an opportunity. The case illustrates the theoretical concept of the role of information in the discovery of entrepreneurial opportunities. It can be used in a class on entrepreneurship or management of technology.

A time-limited encounter with a busy venture capitalist offers the reader, as entrepreneur, the opportunity to “pitch” an idea to a noted dealmaker. Designed for use as a management-communications or personal-selling exercise for students and others who believe they possess an entrepreneurial opportunity requiring early-stage financing, this case may be used to explore investor networks and expectations, business-plan “executive summaries,” and the role of venture associates and other deal “influencers.” It may be used as the basis for an oral examination or a business-plan competition.

This case describes the process that entrepreneur Paul Farrow went through to establish his kayak company between 1992 and 1996. After being laid off from a more traditional corporate position, Farrow came across an idea that suited his business skills, experience, and values. The case chronicles the steps he took to be the first in the industry to design and produce an inexpensive, high-performance recreational kayak from recycled plastic materials. Key to Walden Paddlers' $1-million sales in 1995 was the company's ability to forge close alliances with key suppliers and customers while keeping fixed costs down by managing a virtual corporation.

Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or “horse race” in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.

The Global Networks Company (GNC), headquartered in Boston, Massachusetts, made its global footprint in India in 1994 by establishing a presence in Bangalore. Although mainly a sales support office, GNC grew name recognition from its contracts with India’s government to help build nationwide networks. Not quite 20 years later, GNC decided to further invest in India and tapped a manager from the Boston office, Jim Notrika, to establish and then manage GNC’s first global software center in Mumbai. Split between Mumbai and Boston, the project team successfully completed several minor projects, but only months into its first major project, the team was struggling to meet deadlines. Blame was being passed in both directions, and when three talented engineers in Mumbai quit, Notrika makes an emergency trip to Mumbai to better understand the problem.

This case describes three common cross-cultural communication obstacles in teams: a preference for direct versus indirect confrontation of problems; a clash of collectivist versus individualistic cultural values related to reporting bad news or giving negative feedback; and different expectations of team leaders based on power-distance values.