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- All HBS Web
(3,995)
- Faculty Publications (1,271)
- October 2020 (Revised March 2022)
- Case
Automercados Plaza's: Surviving Venezuela's Hyperinflation
By: Alberto Cavallo, Mariana Cal and Carla Larangeira
Under the rule of presidents Hugo Chávez and Nicolas Maduro, Venezuela experienced one of the worst economic and political meltdowns in modern history, culminating with a massive hyperinflation. Remarkably, during this dramatic times Automercados Plaza's had grown to... View Details
Keywords: Hyperinflation; Populism; Inflation and Deflation; Macroeconomics; Management; Strategy; Organizational Change and Adaptation; Business and Government Relations; Retail Industry; South America; Venezuela
Cavallo, Alberto, Mariana Cal, and Carla Larangeira. "Automercados Plaza's: Surviving Venezuela's Hyperinflation." Harvard Business School Case 721-014, October 2020. (Revised March 2022.)
- October 2020 (Revised February 2021)
- Case
Twiga Foods: Revolutionizing African Retail (A)
By: Shikhar Ghosh, Pippa Tubman Amerding and Wale Lawal
Twiga is a leading agricultural produce supplier in Kenya offering services to mostly informal retailers. Under Peter Njonjo, a co-founder and Twiga’s new CEO, the company is considering multiple options for expanding its business, including offering packaged foods and... View Details
Keywords: Leadership; Expansion; Growth and Development Strategy; Organizational Structure; Retail Industry; Nairobi
Ghosh, Shikhar, Pippa Tubman Amerding, and Wale Lawal. "Twiga Foods: Revolutionizing African Retail (A)." Harvard Business School Case 821-043, October 2020. (Revised February 2021.)
- October 2020
- Supplement
Twiga Foods: Revolutionizing African Retail (B)
By: Shikhar Ghosh, Pippa Tubman Amerding and Wale Lawal
Ghosh, Shikhar, Pippa Tubman Amerding, and Wale Lawal. "Twiga Foods: Revolutionizing African Retail (B)." Harvard Business School Supplement 821-044, October 2020.
- October 2020 (Revised March 2021)
- Supplement
Migros Turkey: Scaling Online Operations During COVID-19 (C)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in August 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are navigating Migros through COVID-19 and the unprecedented... View Details
Keywords: Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Diversification; Corporate Strategy; Crisis Management; Health Pandemics; Strategic Planning; Food and Beverage Industry; Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations During COVID-19 (C)." Harvard Business School Supplement 621-062, October 2020. (Revised March 2021.)
- 2020
- Working Paper
Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty
By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis
Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which... View Details
Keywords: Information Sharing; Yield Uncertainty; Ration Gaming; Blockchain; Supply Chain; Risk and Uncertainty
Harsha, Pavithra, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson, and Georgia Perakis. "Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty." MIT Sloan Research Paper, No. 6172-20, October 2020.
- 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
- 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
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Retail Industry; United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- 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
- 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; Retail Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- 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; Retail Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- 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; Retail Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- September 2020 (Revised July 2022)
- Supplement
Spreadsheet Supplement to "Artea: Designing Targeting Strategies"
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details
- September 2020 (Revised July 2022)
- Supplement
Spreadsheet Supplement to Artea (B) and (C)
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting" View Details
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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
- September 2020
- Case
Chip and Joanna Gaines' Magnolia Network
By: Anita Elberse and Julia McNicholas
Chip and Joanna Gaines, who have shot to fame as stars of the hit television show Fixer Upper, are preparing to launch their own television network. It is April 2019, a year since the home-renovation show Fixer Upper’s fifth season on cable channel HGTV ended, and more... View Details
Keywords: Entertainment; Television; Superstars; Innovation; Creative Industries; Talent; General Management; Celebrities; Television Entertainment; Entrepreneurship; Joint Ventures; Innovation and Invention; Marketing; Strategy; Entertainment and Recreation Industry; Media and Broadcasting Industry
Elberse, Anita, and Julia McNicholas. "Chip and Joanna Gaines' Magnolia Network." Harvard Business School Case 521-044, September 2020.
- September 2020
- Case
Walmart Health: Scaling During a Pandemic
By: Robert S. Huckman, Yoonjin Min and Marissa Thiel
Amidst the onset of COVID-19 pandemic in the United States, Marcus Obsborne, Vice President for Health and Wellness Transformation at Walmart was planning to scale its new health care clinic business, Walmart Health, to additional locations in Georgia and beyond.... View Details
Keywords: Health Care and Treatment; Health Pandemics; Health; Service Delivery; Growth and Development Strategy; Health Industry; United States; Arkansas; Georgia (state, US); Texas
Huckman, Robert S., Yoonjin Min, and Marissa Thiel. "Walmart Health: Scaling During a Pandemic." Harvard Business School Case 621-061, September 2020.
- September 2020 (Revised March 2022)
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Retail Industry; Retail Industry; Retail Industry; United States; Ohio
Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
- September 2020 (Revised February 2021)
- Case
Zameer Kassam Fine Jewelry: Engaging Clients
By: Ryan W. Buell and Amy Klopfenstein
Zameer Kassam Fine Jewelry (ZKFJ) designs custom engagement rings that tell the story of a couple’s relationship. The case describes the company’s process for engaging clients, which has historically been a relatively offline, high-touch experience. Obliged by... View Details
Keywords: Customer Engagement; Service Delivery; Health Pandemics; Internet and the Web; Customer Satisfaction; Organizational Change and Adaptation; Growth and Development; Retail Industry
Buell, Ryan W., and Amy Klopfenstein. "Zameer Kassam Fine Jewelry: Engaging Clients." Harvard Business School Case 621-043, September 2020. (Revised February 2021.)
- September 2020
- Article
Customer Supercharging in Experience-Centric Channels
By: David R. Bell, Santiago Gallino and Antonio Moreno
We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and... View Details
Keywords: Retail Operations; Marketing-operations Interface; Omnichannel Retailing; Experience Attributes; Quasi-experimental Methods; Operations; Internet and the Web; Marketing Channels; Consumer Behavior; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Customer Supercharging in Experience-Centric Channels." Management Science 66, no. 9 (September 2020).