Case studies

Allison Watkins, senior director of Merck's Vaccines Division, needed to decide on the pricing of Gardasil, Merck's newest vaccine and one of the company's most important product launches of the year. The outside consulting firm she had hired to recommend a price for Gardasil had suggested a price of $120 per dose (or $360 per person, as each person required three doses over six months to achieve adequate immunity). The Gardasil marketing team disagreed about this recommended price; some thought it was clearly too high, whereas others said it was too low. The latter group argued that Merck would be missing a major opportunity by setting the price at such a low level. Watkins now needed to decide whether to follow the consulting firm's recommendation or to set a different price.

The case highlights the complexity and issues around pricing in the pharmaceutical industry. To decide on the price of Merck's new vaccine, students will work through product economics and be introduced to the role of economic modeling in determining appropriate prices in the biomedical industry. The case is unique because it gives students an opportunity to calculate a cost per quality adjusted life year (cost per QALY), and in the process discover the power and limitations of such an analysis.

The case describes the international problem of money laundering and summarizes U.S. bank regulations aimed at reducing money laundering activities. The introduction of H.R. 3886 in 2000 was one in a series of attempts to formalize U.S. banks' monitoring of their customers. The bill was prompted by a government report that named and criticized U.S. banks for laundering billions of dollars linked to drug trafficking, fraud, and organized crime. Interest groups in favor of H.R. 3886 were predominantly law enforcement agencies that viewed current anti-money laundering laws as ineffective. Groups opposed to the bill included the American Civil Liberties Union, which believed that the collection of more information about bank customers' activities was an invasion of privacy, and the American Bankers Association, which claimed that the legislation would impose unnecessary costs on banks. The case can be used to introduce the distributive politics framework for analyzing non-market issues and formulating nonmarket strategies in the context of government institutions. The epilogue reveals that H.R. 3886 died before it ever reached the House floor, but that an expanded version of the legislation ultimately passed---with the support of stakeholders who originally fought it---as part of the USA PATRIOT Act after the terrorist attacks of September 11, 2001. This stance reversal provides an opportunity to explore how events, public opinion, and the media can create windows of policy opportunity

Utilize a framework for analyzing options for non-market action – Formulate a strategy for nonmarket action – Recognize how public opinion influences the opportunity for non-market action through events and/or new information, political actors, media coverage, and policy windows

Whoosh, is that all there is? On the eve of becoming a partner at a well-known consulting firm (“the stuff MBA dreams are made of”), a senior executive starts to question what he is doing with his life. Walt Shill had graduated eight years earlier from the Darden Graduate School of Business Administration at the University of Virginia and had worked his way up at McKinsey Consulting to become the first American partner in the Japanese office. Shill and his family move back to the United States, where he starts to question his goals. For the first time, it seems that Shill has no target to aim for. Having had reached his goals, Shill sets out on an adventure to seek his own meaning of life. He gets into good-enough shape to take a cross-country bicycle ride, which he completes. This undisguised case tells Shill's story and what he learned along the way. It ends with Shill's promise to himself to be less judgmental and to start walking through life with eyes wide open. A teaching note is available to registered faculty.

What happens when personal values and beliefs conflict with business decisions? This case, suitable for MBA, undergraduate, and executive learners, prompts engaging discussion of this issue. Oliver Sparling was a highly successful senior analyst at AFI International, a top consulting firm in Chicago with an open and tolerant workplace. He was also a gay man who had lived happily with his partner for over 10 years. Sparling encounters trouble, however, when one of the firm's clients, Bible Books, Inc., takes exception to his “inappropriate” openness about his sexuality (including wearing his commitment band). Sparling's boss calls him into the office and asks him to tone it down when he's at Bible Books, Inc. “These are not easy economic times,” said the boss. “And this project is a big one for us. Basically, you're doing the company a favor if you lay low, and once the project is finished, it will be like it never happened. Besides, you know that you don't have anything to hide while you're at home here in Chicago. This is just for when you are in Birmingham.” Sparling must decide what course of action to take.

The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating the winning bids in various auctions concerning highway repair jobs using data on past auctions. The decision maker is faced with various professional, statistical, and ethical dilemmas.

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

Supplements the (A) case.

Mergers and acquisitions (M&A) are often very complex management endeavors. Analyzes the IT component of M&A for two financial institutions. Students are tasked with assisting Mike Farrell, the CIO of New Millennium Financial (NMF), a new company created through the merger of FinStar Financial and D&L Bank, in determining the optimal combined IT portfolio. To accomplish this task the strategic business objectives of the firm must be clearly understood and the IT projects in the pipelines of both institutions analyzed. Students must make an IT portfolio management decision and answer the question: What is the optimal IT strategy and project portfolio for NMF?

To apply a framework to manage a company's IT portfolio, i.e., understand the company's strategic context, develop business objectives that align with its strategy, assess IT investments, and develop a portfolio of IT projects that support the objectives. The framework is iterative, i.e., IT investments are assessed on a regular basis based on their performance and risk/return tradeoffs. Also to introduce a leading Web-based tool, ProSight, that helps managers organize IT portfolios.

Quality Wireless has received customer complaints about long hold times at its call center. To address these complaints, it put into place certain process changes at its call center. After one month, the company will now decide whether improvement has taken place.

To develop an understanding of process capability and how an improvement can be statistically validated. To understand the “check” phase of the plan-do-check-act cycle of Deming, using basic statistical principles.

Quality Wireless has received customer complaints about long hold times at its call center. To address these complaints, it put into place certain process changes at its call center. After one month, the company will now decide whether improvement has taken place.

To develop an understanding of process capability and how an improvement can be statistically validated. To understand the “check” phase of the plan-do-check-act cycle of Deming, using basic statistical principles.

Supplements the (A) case.