HBSP (USA)
-
Baroo (A): Pet Concierge
Eisenmann, Thomas R.; Ma, Susie L.Case HBS-820011-EEntrepreneurshipBaroo CEO Lindsay Hyde was facing unrest from the board of her pet services startup in August 2017. One board member (and lead investor) was alarmed that Baroo's growth was slowing while it's appetite for funding was accelerating. Hyde wanted to hit the gas and continue expanding to new cities, which meant she needed to raise venture capital. How could she convince the board and potential investors that the business opportunities were too good to...Starting at €8.20
-
Baroo (B)
Eisenmann, Thomas R.; Ma, Susie L.Case HBS-820026-EEntrepreneurshipBaroo CEO Lindsay Hyde must secure venture capital funding if she wants to save her pet services startup. If she is unable to finance a series A, she will need to sell or shut down.Starting at €5.74
-
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
-
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
-
Wayfair
Rayport, Jeffrey; Ma, Susie L.; Preble, MatthewCase HBS-819045-EMarketingIn 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home categorStarting at €8.20
-
Western Governors University: 10x Vision
Kerr, William R.; Ma, Susie L.Case HBS-819093-EStrategyWestern Governors University (WGU) was a nonprofit institution of higher education whose online learning model served more than 100,000 students in 2019 and was scaling rapidly. President Scott Pulsipher wanted to expand WGU's reach to millions more with a plan called 10x Vision. 10x Vision called for scaling enrollment, creating new ventures to expand access to higher education that complement WGU's business model, and funding these ventures. Pu...Starting at €8.20
-
MobSquad
Choudhury, Prithwiraj; Kerr, William R.; Ma, Susie L.Case HBS-821010-EEntrepreneurshipIrfhan Rawji (MBA 2004) launched MobSquad in October 2018 to help American tech start-ups retain hard-to-find talent, many of whom struggled with U.S. work visa issues, such as software engineers with experience in artificial intelligence, machine learning, or data science. MobSquad also helped companies fill open roles by tapping into its database of pre-vetted foreign tech workers. While there was growing demand for these specialists, the talen...Starting at €8.20
-
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
-
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
-
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