HBSP (USA)
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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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Clear Channel Communications, Inc.
Oberholzer-Gee, Felix; Winkler, Carole A.Case HBS-707523-EStrategyDiscusses the rise of Clear Channel Communications, Inc. (CC) as the most important radio broadcasting company in the United States. While CC can look back on a glorious past, it faces a multitude of business issues: radio listenership is in decline, media deregulation has come to a halt, and the company's public image is less than favorable.Starting at €8.20
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Newell Rubbermaid: Estrategia en transición
Montgomery, Cynthia A.; Kaufman, Rhonda; Winkler, Carole A.Case HBS-713S18StrategyDescribe la transformación de la estrategia a nivel corporativo de la empresa. Comienza por trazar la estrategia que llevó al éxito impresionante Newell Co. durante casi tres décadas. La estrategia consistente internamente altamente integrado se adapta para la fabricación y venta de un género particular de los productos a un determinado tipo de cliente. A mediados de la década de 1990, Newell se encontró con algunos cambios en su entorno competit...Starting at €8.20
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Facebook Fake News in the Post-Truth World
Wells, John R.; Winkler, Carole A.Case HBS-717473-EStrategyIn January 2017, Mark Zuckerberg, founder and CEO of Facebook, was surrounded by controversy. The election of Donald Trump as the next president of the United States in November 2016 had triggered a national storm of protests, and many attributed Trump's victory to fake news stories served up on Facebook's Trending News Feed. Zuckerberg was unapologetic. The word that came to define this spread of misinformation was "post-truth," which became so ...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