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The Opioid Epidemic (B): Responses to the Crisis
Shotts, Ken; Melvin, SheilaCase SGSB-ETH18B-EDecision AnalysisBetween 1999 and 2017, almost 400,000 Americans died from an opioid overdose. An average of 130 died each day in 2017, six times the daily rate in 1999. These deaths were caused by both prescription opioids and illegal opioids like heroin and illicitly manufactured fentanyl, or IMF. The most common drugs involved in prescription opioid overdose deaths were methadone, oxycodone (like OxyContin), and hydrocodone (like Vicodin). The A case, which ...Starting at €6.75
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San Francisco: Real Estate Valuation
Ibarra, Alberto; Alegre, Inés; Moleskis, MelinaFocused Case ADFC-6-EDecision AnalysisAn MBA has to help a friend indentify real estate properties that could be a good investment for medium or long term returns. The MBA has access to properties listings and that can be included in a regression model to predict pricing and when compared versus listed prices, allow the identification of investment opportunities.Starting at €6.75
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San francisco: valoración inmobiliaria
Ibarra, Alberto; Alegre, Inés; Moleskis, MelinaFocused Case ADFC-6Decision AnalysisUn MBA tiene que ayudar a un amigo a identificar propiedades inmobiliarias que podrían ser una buena inversión para obtener rentabilidad a medio o largo plazo. El MBA accede a listados de propiedades, que pueden añadirse a un modelo de regresión para predecir los precios y, al compararlos con los precios de mercado, permiten identificar posibles oportunidades de inversión.Starting at €6.75
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ScriptBook
García-Castro, RobertoCase AD-373Decision AnalysisEste caso ilustra una situación en la que una compañía debe decidir si producir o no una película nueva. El caso trata de la incertidumbre que rodea una decisión de este tipo y de algunas de las técnicas de inteligencia artificial que se utilizan para predecir el éxito de una película.Starting at €6.75
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Project Management and Transparency for Capital Projects
Grushka-Cockayne, Yael; McKlindon, Rachel; Cornell, JessTechnical Note DARDEN-QA-0899-EDecision AnalysisProgram- and project-management best practices are typically implemented when a corporation aims to work efficiently and effectively to deliver its projects to the customers on time and to maximize shareholder value. In comparison, when looking at either the public or government sector, projects are typically funded primarily by taxpayer dollars, and reporting requirements and overall level oversight tend to be less consistent. Prior to leaving o...Starting at €6.75
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Getting Rich on Crypto
Grushka-Cockayne, Yael; Goelz, Charles; Willingham, Davis; Le, ShawnCase DARDEN-QA-0897-EDecision AnalysisDan Nickerson, a private wealth manager at a big firm, had just begun taking on his first set of clients when one of them asked his advice on whether he should add bitcoin to his investment portfolio. Nickerson noticed that the price of one bitcoin had risen from $276.30 in March 2015, to $20,089.00 in December 2017, and closed on March 2, 2018, at $10,977.40. This represented an almost unprecedented amount of volatility when compared to other a...Starting at €6.75
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Retention Modeling at Scholastic Travel Company (B)
Ovchinnikov, Anton S.Case DARDEN-QA-0865-EDecision AnalysisThis case, along with its A case (UVA-QA-0864), 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), ...Starting at €6.75
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To LED or Not to LED?
Baucells, Manel; Yemen, GerryCase DARDEN-QA-0862-EDecision AnalysisA director of marketing at a major big-box retailer in the United States finds herself overhearing a customer and a lighting specialist discuss the replacement of incandescent and halogen lightbulbs with LEDs in his house. The case provides sufficient data to perform the economic analysis of which lightbulb is more cost effective in terms of net present value. The results are at odds with the student’s intuitions. This case uses a durable consume...Starting at €6.75
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Vitaliy’s Purchase Decision
Baucells, Manel; Dydyshka, VitaliyExercise DARDEN-QA-0861-EDecision AnalysisThis short case presents the trade-offs that Vitaliy faces before purchasing a car. The case contains a consequence table showing five different cars and how they fare on six attributes, including price, user ratings, torque, fuel consumption, and engine power. The case is ideal to introduce the multiattribute methodology.Starting at €6.75
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Updating Probabilities
Baucells, ManelTechnical Note DARDEN-QA-0860-EDecision AnalysisIndividuals' judgement of probabilities-the likelihood of different events to occur, or the attribution of likely causes to what has occurred-is plagued by numerous biases and errors. This note focuses on Bayesian updating and the base rate neglect, and also provides a brief overview of other biases, including overconfidence, reversion to the mean, the law of small numbers, the conjunction fallacy, confirming evidence bias, hindsight bias, and th...Starting at €6.75