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Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services had expanded across the world, growing rapidly in the United States, China, India, Europe, and Southeast Asia. Even as these services expanded and gained popularity, however, the pickup experience for drivers and riders did not always meet the expectations of either party. Pickups were complicated by traffic congestion, faulty GPS signals, and crowded pickup venues. Flawed pickups resulted in rider dissatisfaction and in lost revenues for drivers. Uber had identified the pickup experience as a top strategic priority, and a team at Uber, led by group product manager Birju Shah, was tasked with designing an automated solution to improve the pickup experience. This involved three steps. First, the team needed to analyze the pickup experience for various rider personas to identify problems at different stages in the pickup process. Next, it needed to create a model for predicting the best rider location for a pickup. The team also needed to develop a quantitative metric that would determine the quality of the pickup experience. These models and metrics would be used as inputs for a machine learning.

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.

Agricultural Trade, Farm Management, Economics of Food Safety

Both undergraduate and postgraduate studies in Agribusiness and Agricultural Economics.

The pineapple production sector plays a very significant role in the Ghanaian horticultural industry. Production and export of fresh pineapple has been Ghana’s most developed high-value supply chain. However, the introduction of the GlobalGAP food safety standard in 2007 resulted in a fall in smallholder farmers’ participation in exportable pineapple production and subsequently led to declining trends in pineapple exports. The Ghanaian horticultural industry received quite a number of interventions over the years aimed at revitalizing the horticultural export sector and enhancing international competitiveness. However, the pineapple export sub-sector is still constrained with production and market access challenges meaning the sector struggles to survive.

The GlobalGAP standard compliance case is an appropriate way of explaining how smallholder farmers make informed decisions concerning the adoption of new farm practices. The case presents a careful evaluation of technical, institutional and socio-economic factors influencing a farmer’s decision to comply or not to comply with the GlobalGAP standard. Students should be able to apply farm management decision-making concepts and tools such as profit maximization and binary choice modelling techniques to explain a farmers’ final decisions on GlobalGAP standard compliance. This case should enable students to appreciate key factors constraining agricultural export trade performance in developing countries. The case should also contribute to students’ understanding of smallholder farmers’ decisions on food safety standards compliance, particularly GlobalGAP, and the challenges associated with the entire compliance process. Moreover, this case should provide students with possible policy considerations geared towards making food safety standards compliance easier, effective and sustainable in developing countries so as to enhance market access while ensuring food quality and safety along high-value food supply chains.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 7 Management Science

This case can be used to help students achieve the following objectives: To project financial statements and assemble different pieces of financial information to create a valuation model (objective #1, create), To calculate a value for Arcor shares, supporting the estimated value with the chosen assumptions and methodologies (objective #2, evaluate), To draw connections between four different approaches to valuation (DCF, EVA, RV and VI), contrasting them and weighting their advantages and limitations (objective #3, analyze), To examine the relationship between forecasted financial statements and valuation (objective #3, analyze), To discuss the calculation of the Weighted Average Cost of Capital in a new situation as is an emerging economy, with the corresponding country-risk adjustment (objective #4, apply), To discuss the sources of value creation in a family-owned private company in a developing economy (objective #4, apply), To understand the dilemma that the head of a company was facing, identifying the three possible financing alternatives discussed in the text as follows: corporate bonds, earnings reinvestment and an IPO (objective #5, understand). To recall basic facts, as the main character’s opinion on the direction of the local economy or the fact that Arcor already complies with the information requirements of a public company (objective #7, remember).

This case is based on the valuation of the world’s largest candy maker, Arcor S.A.I.C., originally a Latin American company, which remains a private family business. The key problem presented by the case is the use of different valuation approaches to price Arcor shares, in view of a possible Initial Public Offer. The case illustrates the application of four main valuation approaches as follows: Discounted Cash Flow (DCF), Economic Value Added (EVA), Relative Valuation (RV) and Value Investing (VI). Additionally, it includes a fundamental analysis of eight years of historical financial information and the preparation of forecasted financial statements. Set in a developing economy, the Arcor case introduces the complexities of calculating the cost of capital with the inclusion of country risk, as well as the financial analysis distortions caused by an environment of high inflation.

The Arcor case is appropriate to be used in graduate courses of Corporate Finance, Valuation or Private Equity.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

After the global financial crisis of 2008, Allied Irish Banks (AIB) was rescued by the Irish government. During 2013 and 2014, the tiny fraction of shares remaining with the public appeared to be vastly overvalued in the Irish stock market. The American Depository Receipts (ADRs) of AIB appeared to be overvalued even relative to the inflated Irish price. The case illustrates the possibility of pervasive mispricing in an illiquid market and the difficulty of valuing companies with large embedded option values.