HBSP (USA)
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PV Technologies, Inc.: Were They Asleep at the Switch (Spanish Version)
Cespedes, Frank V.; Badame, DianeCase HBS-913S02MarketingPV Technologies, Inc. es un fabricante líder en la industria de los inversores fotovoltaicos utilizados para convertir la salida de corriente continua de los paneles solares en corriente alterna de la red eléctrica comercial. En conjunción con una solicitud de propuesta, más grandes realiza los clientes de la compañía una evaluación de rutina y ocupa el tercer PV Tecnologías detrás de dos principales competidores. El director de ventas y marketin...Starting at €8.20
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Are Americans Ready for Healthy Dark Chocolate? (Spanish version)
Quelch, John A.; Badame, DianeCase HBS-915S03MarketingAndrea Torres, director of new product development at a high-end chocolate confectionery company, leads her team through a carefully sequenced program of market research to support the development and launch of a new product, healthy dark chocolate with fruit. This is the first time Montreaux USA, an offshoot of a Swiss confectioner, has created a product specifically for U.S. chocolate consumers. The case explains the steps Torres and her NPD te...Starting at €8.20
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PV Technologies, Inc.: Were They Asleep at the Switch
Cespedes, Frank V.; Badame, DianeCase HBS-913505-EMarketingPV Technologies, Inc. is an industry-leading manufacturer of photovoltaic inverters used to convert the direct current output of solar panels into alternating current for the commercial power grid. In conjunction with a request for proposal, the company's largest customer performs a routine evaluation and ranks PV Technologies third behind two key competitors. The director of sales and marketing must weigh the possible consequences of the report ...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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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