Case studies

Islamic financial instruments, financial analysis, financial decision making.

Undergraduate Finance and Business.

This case highlights the financial decision making by the UAE Islamic Bank, regarding an investment with Towers company. It focuses on considering the appropriate Islamic mode of financing and computing the relevant financial ratios to make the right decision.

This case can be used to teach Islamic financial instruments, financial analysis and financial decision making.

A teaching note is available on request.

Suitable for MBA and executive learners, this case series presents a narrative that prompts students to discuss entrepreneurial thinking. An entrepreneur who loves his native Swedish Lapland uses his natural gift for effectuation to ask What? What next? And What now? As his ventures evolve, students will wonder how they would master similar challenges to their own entrepreneurial plans and expectations. The case can be taught in either one or two sessions of a 90-minute MBA course or a four-hour executive education class.

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.