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All HBS Web
(4,393)
- Faculty Publications (964)
- December 2020 (Revised March 2021)
- Case
eXp Realty and the Virbela Platform
By: Prithwiraj Choudhury, Jan Bena, David Rowat and Emma Salomon
As he considered his plans for the future, Glenn Sanford, CEO of eXp World Holdings, Inc., faced an exciting conundrum. He had built the first all-remote real estate brokerage firm, eXp Realty, which had been growing exponentially and was thriving, even amidst the...
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Keywords:
Real Estate;
All Remote;
Virtual Platform;
Internet and the Web;
Strategy;
Decision Making;
Resource Allocation;
Digital Platforms;
Real Estate Industry;
Technology Industry
Choudhury, Prithwiraj, Jan Bena, David Rowat, and Emma Salomon. "eXp Realty and the Virbela Platform." Harvard Business School Case 621-068, December 2020. (Revised March 2021.)
- November 2020 (Revised February 2021)
- Case
Integrating Beam Suntory (A)
By: David G. Fubini, Rawi Abdelal and David Lane
The spring 2014 acquisition of U.S. alcoholic spirits maker Beam Inc. by Japan’s Suntory Holdings vaulted Suntory from 15th to third-largest international spirits company in the world. Yet Suntory had borrowed nearly the entire $16 billion purchase price, and relied on...
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Keywords:
Family Business;
Communication;
Borrowing and Debt;
Globalization;
Corporate Governance;
Governing and Advisory Boards;
Retention;
Leadership;
Supply Chain;
Organizational Structure;
Ownership;
Relationships;
Conflict and Resolution;
Integration;
Value Creation;
Food and Beverage Industry;
Japan;
United States;
Chicago
Fubini, David G., Rawi Abdelal, and David Lane. "Integrating Beam Suntory (A)." Harvard Business School Case 421-003, November 2020. (Revised February 2021.)
- November 2020
- Supplement
Integrating Beam Suntory (B)
By: David G. Fubini, Rawi Abdelal and David Lane
Supplements (A) case: The spring 2014 acquisition of U.S. alcoholic spirits maker Beam Inc. by Japan’s Suntory Holdings vaulted Suntory from 15th to third-largest international spirits company in the world. Yet Suntory had borrowed nearly the entire $16 billion...
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Keywords:
Family Business;
Communication;
Borrowing and Debt;
Globalization;
Corporate Governance;
Governing and Advisory Boards;
Retention;
Leadership;
Supply Chain;
Organizational Structure;
Ownership;
Relationships;
Conflict and Resolution;
Integration;
Value Creation;
Food and Beverage Industry;
Japan;
United States;
Chicago
Fubini, David G., Rawi Abdelal, and David Lane. "Integrating Beam Suntory (B)." Harvard Business School Supplement 421-004, November 2020.
- November 2020
- Case
Wilderness Safaris: Responses to the COVID-19 Crisis
By: James E. Austin, Megan Epler Wood and Herman B. "Dutch" Leonard
This case is an epilogue to “Wilderness Safaris: Impact Investing and Ecotourism Conservation in Africa” (2-321-020), which ends with the emergence of the pandemic in March 2020. The final discussion area for that case can be “What should Wilderness Safari CEO Keith...
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Keywords:
Communities;
COVID-19;
Ecotourism;
Travel;
Travel Industry;
Conservation Planning;
Reopening;
Investor Relations;
Project Strategy;
Governance;
Decision Making;
Cash;
Health Pandemics;
Business and Shareholder Relations;
Tourism Industry;
Africa
Austin, James E., Megan Epler Wood, and Herman B. "Dutch" Leonard. "Wilderness Safaris: Responses to the COVID-19 Crisis." Harvard Business School Case 321-077, November 2020.
- October 2020
- Case
Michael Phelps: 'It's Okay to Not Be Okay'
By: Boris Groysberg, Carin-Isabel Knoop and Michael Norris
In 2020, Michael Phelps, the most decorated Olympian of all time, with 28 medals in various swimming events, was now retired. As he looked back on his 20+ year athletic career, he considered what had gone into making him the greatest of all time—the highs and lows,...
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Keywords:
Mental Health;
Talent and Talent Management;
Training;
Health;
Success;
Performance Improvement;
Personal Development and Career;
Family and Family Relationships;
Sports;
Competition;
Sports Industry;
United States;
Baltimore;
Arizona;
Sydney;
Athens;
Beijing;
London
Groysberg, Boris, Carin-Isabel Knoop, and Michael Norris. "Michael Phelps: 'It's Okay to Not Be Okay'." Harvard Business School Case 421-044, October 2020.
- October 2020 (Revised March 2024)
- Case
Experimentation at Yelp
By: Iavor Bojinov and Karim R. Lakhani
Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,...
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Keywords:
Customer Relationship Management;
Collaborative Innovation and Invention;
Risk Management;
Advertising;
Research and Development;
Technology Industry
Bojinov, Iavor, and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020. (Revised March 2024.)
- September–October 2020
- Article
A New Model for Ethical Leadership
By: Max Bazerman
Rather than try to follow a set of simple rules (“Don’t lie.” “Don’t cheat.”), leaders and managers seeking to be more ethical should focus on creating the most value for society. This utilitarian view, Bazerman argues, blends philosophical thought with business school...
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Keywords:
Social Value;
Leadership;
Moral Sensibility;
Ethics;
Decision Making;
Corporate Social Responsibility and Impact;
Society
Bazerman, Max. "A New Model for Ethical Leadership." Harvard Business Review 98, no. 5 (September–October 2020): 90–97.
- Article
Are You Really Innovating Around Your Customers' Needs?
By: Sunil Gupta
Every company believes it is customer-centric. However, most of them are product- and service-centric first, focusing on how to enhance their offerings rather than putting themselves in their customers’ shoes. To come up with truly innovative customer-centric ideas,...
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Gupta, Sunil. "Are You Really Innovating Around Your Customers' Needs?" Harvard Business Review (website) (October 1, 2020).
- 2020
- Working Paper
Targeting for Long-Term Outcomes
By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we...
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Keywords:
Targeted Marketing;
Optimization;
Churn Management;
Marketing;
Customer Relationship Management;
Policy;
Learning;
Outcome or Result
Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work...
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Keywords:
Healthcare;
Knowledge Work;
Discretion;
Workload;
Employees;
Health Care and Treatment;
Decision Making;
Performance Effectiveness;
Performance Productivity
KC, Diwas S., Bradley R. Staats, Maryam Kouchaki, and Francesca Gino. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance." Management Science 66, no. 10 (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...
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- 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...
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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;
Apparel and Accessories 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...
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- 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...
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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
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...
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Keywords:
Targeting;
Algorithmic Bias;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology 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...
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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
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...
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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;
Apparel and Accessories 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).
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- 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"
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- 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...
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