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Sirum: Scaling a “Tech-for-Good” Medication Donation Platform
Siegelman, Russell; Montgomery, LucyCase SGSB-E815-EEntrepreneurshipKiah Williams started SIRUM as a Stanford undergraduate alongside her classmates Adam Kircher and George Wang. Nearly two decades later, the medication donation nonprofit was now operating in five states across the country and had helped facilitate medication donations to reach 150,000 uninsured and underinsured patients. SIRUM’s technology enabled donors with excess medication supply to donate unexpired, sealed, non-opioid medications to those...Starting at €8.20
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Total Venture Design: Creating and Delivering Value
Holloway, Charles; Montgomery, LucyCase SGSB-E823-EEntrepreneurshipCharles Holloway, founder of Stanford’s Center for Entrepreneurial Studies, shares his reflections and learnings on entrepreneurship in this teaching note. Designed to be a hands-on tool for aspiring entrepreneurs, this playbook will frame key questions and provide frameworks to assist in building new ventures.Starting at €8.20
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Ascend Behavior Partners: Hiring in a Tight Labor Market
Carroll, Glenn; Montgomery, LucyCase SGSB-SM355-EStrategyAscend Behavior Partners provided applied behavioral analysis (ABA) services to families with children with autism. The growing autism services market presented a massive opportunity for Ascend to provide quality care to families in need. Ascend’s delivery model relied on board certified behavior analysts (BCBAs), who were the backbone of providing care to families with children with autism. But the severe imbalance between supply and demand f...Starting at €8.20
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Mach49 and 2401: Building the Unicorn Within
Siegel, Robert; Montgomery, LucyCase SGSB-E817-EEntrepreneurshipMonifa Porter was in the process of building a product that could work her and her team out of a job. As head of 2401, a subdivision of the corporate innovation and growth company Mach49, Porter was building a technology product that would assist corporations as they designed, built, and scaled new ventures within their existing organization. In late 2022, Porter’s team released a minimum viable product of 2401, and was now in the process of des...Starting at €8.20
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CrowdStrike: On a Mission to Protect
Siegel, Robert; Montgomery, LucyCase SGSB-SM353-EStrategyGeorge Kurtz founded CrowdStrike in 2011 to bring next-generation cybersecurity products to the marketplace. CrowdStrike used artificial intelligence to train its detection agent on evolving threats. This approach was revolutionary in an industry that had previously been fighting against previously detected and catalogued threats. CrowdStrike grew quickly, with impressive financial metrics. The company went public in 2019, and continued to evolv...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