Case studies

This case presents the dilemma faced by Danville Airlines’ management when one of its best pilots is found to have the inherited gene for Huntington’s disease. Although he inevitably will develop the physically and mentally debilitating disease, the pilot, who has yet to experience symptoms, does not want to step down from his position. Danville Airlines explores the complicated issues of employee rights versus public safety, employee rights to privacy, and genetic testing and its effects on employees and management.

”Green Ox” was written specifically for a midterm exam in an MBA marketing management class. Rather than focus on one particular concept or issue (e.g., segmentation, product line depth), the case challenges students to develop a marketing strategy for a food and beverage manufacturer’s new line of sports beverages, which contain beneficial antioxidants. Focal decisions include choosing a segmentation scheme(s) and a specific target segment(s) and articulating a positioning statement(s) for the new product—all in light of market trends, customer information, and competitor positions. Students must also make recommendations regarding the product name, number of products in the line, and the price (including a break-even analysis). Distribution and promotion issues are downplayed, yet there is sufficient information to determine whether students’ recommendations on the larger issues account for the necessary integration of the 4Ps.

The organizers of a music festival may use video from the Friday concert to create a DVD to sell to those who come to the Saturday concert. Attendance on Saturday is uncertain, as is the percentage of those who attend on Saturday who will buy the DVD. Is this a good project? If so, what number of DVDs should be burned early Saturday morning and offered for sale at that evening’s performance? By that time, Friday attendance is known, as well as whether it rained on Friday, and there is a forecast for whether it will rain on Saturday. Historical information on these variables may help us predict Saturday attendance using multiple regression; together with the results of a marketing survey, such analysis will help us make better purchasing decisions. This case series (see also the B case, UVA-QA-0708) can be used to illuminate a multitude of concepts that are covered in basic decision-analysis courses. The series starts by examining the role of uncertainty in decision-making, proceeds through the estimation of probability distributions from sample data with multiple regression, culminates in the development of a full decision model, and ends with a qualitative and quantitative analysis (with a tornado diagram) of how to add value and reduce risk. Key pitfalls for students are failing to recognize both limits on sales (supply and demand), incomplete reasoning in the determination of the attendance probability distribution, and oversimplifying the full forecast model.