HBSP (USA)
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Verizon Communications, Inc.: Implementación de un Balanced Scorecard de Recursos Humanos
Datar, Srikant M.; Epstein, Marc J.; Cott, JeremyCase HBS-103S02Accounting and ControlA principios de 2000, Verizon Communications implementó un cuadro de mando de Recursos Humanos equilibrado para evaluar la eficacia de los pagos y de gestión de recursos humanos. Este caso describe los beneficios de la tarjeta de puntuación y los desafíos de la medición y aplicación. La enseñanza de Propósito: los estudiantes para ayudar a entender: 1) cómo implementar un cuadro de mando, 2) cómo medir y mejorar la efectividad de las funciones de...Starting at €8.20
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Nissan Motor Company (Spanish Version)
Piper, Thomas R.; Cott, JeremyCase HBS-204S04FinanceLos altos ejecutivos de Nissan y Renault están considerando una inversión importante en Nissan por Renault. Una consideración importante es si una reestructuración importante de las operaciones de Nissan será posible, dado el valor que se da en el empleo de por vida y el impacto en las comunidades. Otro motivo de preocupación es la tendencia a la caída en el compromiso de reestructurar una vez que la inversión de capital se ha hecho.Starting at €8.20
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Dressen (Spanish Version)
Piper, Thomas R.; Cott, JeremyCase HBS-205S08Financegestión de las divisiones debe decidir si apoyar una compra apalancada por un grupo de capital privado y, en caso afirmativo, ¿qué porcentaje de la propiedad debe ir a las distintas partes implicadas. La adecuación de la estructura de financiación y el valor de las acciones dependen de la sostenibilidad del cambio efectuado menos de un año antes.Starting at €8.20
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Othellonia: Growing a Mobile Game
Ascarza, Eva; Amano, Tomomichi; Gupta, SunilCase HBS-520016-EMarketingIn the summer of 2019, Yu Sasaki, Head of the Game Division of DeNA, a Japanese mobile gaming company, is evaluating various growth strategies for its recent game Othellonia. Sasaki needs to decide if he should focus on customer acquisition, retention, or monetization.Starting at €8.20
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Artea (D): Discrimination through Algorithmic Bias in Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521043-EMarketingThis collection of exercises aims to teach students about 1) Targeting Policies; and 2) Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B), (C), (D) Introduce algorithmic bias. The exercises are designed such that the issues of algorithmic bias and discrimination would emerge inductively, "surprising" the students in the act of recommending a strategy that,...Starting at €5.74
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Amazon Shopper Panel: Paying Customers for Their Data
Ascarza, Eva; Israeli, AyeletCase HBS-521058-EMarketingThis case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers' privacy in the digital age, the value of customers' own data, and the change in regulations aimed to protect consumers that move companies from using third party data to first party data. In addition, the case offers an opportunity to di...Starting at €8.20
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Depreciation at Delta Air Lines and Singapore Airlines (A) (Spanish version)
Bruns, William J., Jr.; Cott, JeremyCase HBS-111S20Accounting and ControlDepreciation policies at Delta Air Lines and Singapore Airlines are compared and contrasted against a summary of operating data from each airline. Questions focus attention on differing depreciation policies.Starting at €8.20
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Artea: Designing Targeting Strategies
Ascarza, Eva; Israeli, AyeletCase HBS-521021-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €8.20
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Artea (B): Including Customer-level Demographic Data
Ascarza, Eva; Israeli, AyeletCase HBS-521022-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74
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Artea (C): Potential Discrimination through Algorithmic Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521037-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74