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January 2021 (Revised October 2021)
Case

eToro: Building the World's Largest Social Trading Network

By: Elie Ofek and Danielle Golan

Social trading platform eToro was preparing for the launch of its expanded offering in the U.S. The company faced critical decisions regarding product-market fit, go-to-market strategy, positioning and monetization. Moreover, it faced the challenge of how best to make... View Details

Keywords: Social Trading Platform; Investment; Social and Collaborative Networks; Marketing Strategy; Expansion; Digital Platforms

January 2021 (Revised March 2022)
Case

Arçelik: From a Dealer Network to an Omnichannel Experience

By: Ayelet Israeli and Fares Khrais

Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in... View Details

2021
Article

Consumer Disclosure

By: Tami Kim, Kate Barasz and Leslie John

As technological advances enable consumers to share more information in unprecedented ways, today’s disclosure takes on a variety of new forms, triggering a paradigm shift in what “disclosure” entails. This review introduces two factors to conceptualize consumer... View Details

Keywords: Disclosure; Passive Disclosure; Information; Internet and the Web; Consumer Behavior; Situation or Environment

December 2020
Case

Tencent: Combining Technology and Culture

By: Elie Ofek, Billy Chan and Dawn H. Lau

Tencent, one of the largest Internet conglomerates in China, had a vision to become a "Tech+Culture" firm. With dominant market shares in online games and social networking, it had built a vast Internet-based entertainment ecosystem, and was now focused on cultural... View Details

Keywords: Media Franchise; Marketing; Market Entry and Exit; Product Launch; Strategy; Culture; China

December 2020
Case

Urban Company

By: Krishna G. Palepu

Urban Company is an India-based market platform that helps customers book home services and at home beauty services. The company differentiated itself by investing heavily in building customer trust. Rather than merely positioning itself as a lead generating... View Details

Keywords: COVID-19 Pandemic; Entrepreneurship; Digital Platforms; Emerging Markets; Strategy; Service Delivery; Trust; Technology Industry; Service Industry; India

December 2020 (Revised April 2021)
Case

Arcos Dorados: A QSR Recovery Plan

By: Forest Reinhardt, José B. Alvarez, Jenyfeer Martinez Buitrago and Mariana Cal

Arcos Dorados—McDonald’s largest independent franchisee, covering Latin America and the Caribbean (LAC)—faced a pandemic that was disrupting the entire consumer foodservice business in 2020. With the exclusive right to own, operate, and sub-franchise McDonald’s... View Details

November–December 2021
Article

Does Gender Matter? The Effect of Management Responses on Reviewing Behavior

By: Davide Proserpio, Isamar Troncoso and Francesca Valsesia

We study the effect of management responses on the reviewing behavior of self-identified female and male reviewers. Using data from Tripadvisor, we show that after hotels begin to respond to reviews, the probability that a negative review comes from a self-identified... View Details

Keywords: Word Of Mouth; Online Reviews; Management Responses; E-commerce; Gender; Prejudice and Bias; Digital Platforms; Customers

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2023
Working Paper

The Market for Healthcare in Low Income Countries

By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal

Patient trust is an important driver of the demand for healthcare. But it may also impact supply: doctors who realize that patients may not trust them may adjust their behavior in response. We assemble a large dataset that assesses clinical performance using... View Details

Keywords: Health Care and Treatment; Quality; Developing Countries and Economies; Trust

Article

The Unprecedented Stock Market Reaction to COVID-19

By: Scott Baker, Nicholas Bloom, Steven J. Davis, Kyle Kost, Marco Sammon and Tasaneeya Viratyosin

No previous infectious disease outbreak, including the Spanish Flu, has impacted the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with... View Details

Keywords: COVID-19; Stock Market; Health Pandemics; Governance; Policy; Financial Markets

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2021
Working Paper

Accounting for Product Impact in the Airlines Industry

By: George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the airlines industry. We design a monetization methodology that allows us to calculate monetary impact estimates of fare... View Details

2020
Working Paper

Accounting for Product Impact in the Consumer Finance Industry

By: George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor credit card providers within the consumer finance industry. We design a monetization methodology that allows us to calculate monetary impact estimates... View Details

November 2020
Case

Guild Education: Unlocking Opportunity for America's Workforce

By: William A. Sahlman, Michael D. Smith, Nicole Tempest Keller and Alpana Thapar

Founded in 2015, Guild Education is an education marketplace that connects employers and universities to provide employees with ‘education as a benefit.’ The Denver-based company is transforming traditional tuition assistance programs by facilitating direct payment by... View Details

Keywords: Education; Digital Platforms; Information Technology; Employees; Social Enterprise; Education Industry; Technology Industry; Colorado

November–December 2020
Article

Lifting the Veil: The Benefits of Cost Transparency

By: Bhavya Mohan, Ryan W. Buell and Leslie K. John

Firms do not typically disclose information on their costs to produce a good to consumers. However, we provide evidence of when and why doing so can increase consumers’ purchase interest. Specifically, building on the psychology of disclosure and trust, we posit that... View Details

Keywords: Cost Transparency; Disclosure; Field Experiment; Cost; Trust; Consumer Behavior

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2021
Working Paper

Accounting for Product Impact in the Consumer-Packaged Foods Industry

By: Amanda Rischbieth, George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the consumer-packaged goods industry. We design a methodology that allows us to calculate monetary impact estimates on customer... View Details

September 2020 (Revised July 2022)
Teaching Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and... View Details

Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This 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... View Details

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

By: Eva Ascarza and Ayelet Israeli

This 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... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

By: Eva Ascarza and Ayelet Israeli

This 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... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This 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... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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