Case studies

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.

This paper looks at logistics and supply chain strategy.

The paper is appropriate for undergraduate and graduate management students.

By November 2009, realising the competitive pressures created by the regional and global players, Mr Khalid Ahmed, SVP, Economic Zones World (EZW), decided to strategically re-position EZW in the global supply chain map. He knew it would be very challenging in view of changing landscape of international business and he was eager to start formulating his plans.

This case can be used to teach logistics and supply chain strategy as well as the understanding of the development of country level strategy. A better understanding of the demographics and geography of UAE is required.

A teaching note is available on request.

In the first case of a two-part series, a strategic finance manager at Wells Fargo with experience installing solar panel systems on bank branches crunches the numbers for a similar project in the Los Angeles area given the uncertain future of a government rebate.

This is the first implementation of Revenue Management System in a major international hotel chain in India. The case describes the history of development, corporate story of overdrive for profit, system integration issues. It describes two components of a revenue management system, forecasting and optimization. It also raises several questions that need to be addressed before implementing a RMS.

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.

This case is an updated version of “Netflix Inc.: DVD Wars” (UVA-M-0763), and was written as a replacement for it.

A financial analyst is asked to appraise the value of Netflix’s stock at a time of unprecedented turmoil for the company. This case introduces customer lifetime value (CLV) as a useful metric for subscription-based businesses.

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.

Pancho’s Burritos is a high-end fast-food restaurant located in Charlottesville, Virginia. Due to a recent surge in customers, the lines at the restaurant during peak hours are becoming very long and causing excessive customer waiting. To improve current customer wait times and plan for future growth requirements, Francisco “Pancho” Escoba, the proprietor, wants to get a better understanding of the current operational capacity. The key decision Escoba must make is how to redesign his burrito-making process to increase the capacity and reduce customer wait time.

Suitable for an undergraduate or MBA course, the case can be used in an introductory operations course to teach capacity analysis and queuing. The case provides a relatable and understandable setting for students without an operations background to gain a better grasp of basic course concepts and illustrates how interactions between capacity and queuing affect one another. As an exam or review case it works well because it contains standard process calculations that all students should know how to perform.

ThinkAlike, a fictitious marketing consulting firm, was asked by TiVo to segment the market for its new digital video recorder (DVR) product. Students are asked to analyze realistic data and generate segments that will be useful for TiVo s marketing strategy.