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Publications
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- 2022
- Working Paper
Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures
By: Jung Ho Choi, Joseph Pacelli, Kristina M. Rennekamp and Sorabh Tomar
We examine how information about the diversity of a potential employer’s workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails sent from a leading career advice agency in the U.S. The experimental treatment...
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- Article
Fighting Bias on the Front Lines
By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
This article presents research... View Details
- April 17, 2021
- Article
Reimagining India's Health System: A Lancet Citizens' Commission
By: Vikram Patel, Kiran Mazumdar-Shaw, Gagandeep Kang, Pamela Das and Tarun Khanna
This commentary announces the launch of the Lancet Citizens’ Commission on Reimagining India’s Health System. The Commission is an ambitious, cross-sectoral effort to develop a citizens’ roadmap to achieving universal health coverage (UHC) in India in the next decade....
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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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...
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Keywords:
Targeted Advertising;
Targeting;
Algorithmic Data;
Bias;
A/B Testing;
Experiment;
Advertising;
Gender;
Race;
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)
- 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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- 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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- 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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- September 2020 (Revised April 2021)
- 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;
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
- September 2020 (Revised July 2022)
- 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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- July 2020 (Revised March 2021)
- Case
Board Diversity at Amazon (A)
By: Aiyesha Dey and Anu Atluru
The case revolves around the decisions that the board of directors of ecommerce giant Amazon would need to make in response to the controversial letter that activist shareholder CtW investment group sent to Amazon’s shareholders, urging them to vote in favor of a...
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Keywords:
Board Of Directors;
Boards;
Governing and Advisory Boards;
Diversity;
Gender;
Race;
United States
- September 2019
- Case
Sonia Millar: Negotiating for the C-Suite
By: Joshua D. Margolis and Anne Donnellon
This case addresses the nuances of gender dynamics and career progression at the top of the organization, where even women who have strong leadership expertise, experience, and alliances with powerful male colleagues still get stuck. Told from the point of view of...
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- 2019
- Chapter
Conclusion—Intersections of Race, Work, and Leadership: Lessons in Advancing Black Leaders
By: Laura Morgan Roberts and Anthony J. Mayo
In chapter 23, the concluding chapter of Race, Work, and Leadership, “Intersections of Race, Work, and Leadership,” Roberts and Mayo provide insights for understanding and enhancing the black experience. In addition, the editors summarize a series of...
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- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,...
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- July–August 2018
- Article
The Other Diversity Dividend
By: Paul Gompers and Silpa Kovvali
Researchers have struggled to establish a causal relationship between diversity and financial performance—especially at large companies, where decision rights and incentives can be murky, and the effects of any given choice can be tough to pin down. So the authors...
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- 2018
- Chapter
How the Other Half Thinks: The Psychology of Advising
By: Hayley Blunden and Francesca Gino
This chapter integrates research on advice interactions, motivations for advising, and the psychological consequences of serving in an advisor role to develop a more comprehensive perspective on the psychology of advising. By connecting this work, which spans various...
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- November 2005 (Revised March 2007)
- Case
Leadership Development at Goldman Sachs
By: Boris Groysberg, Scott A. Snook and David Lane
In November 1999, 11 of Goldman Sachs' finest gathered to put the final touches on a revolutionary leadership development plan. Following Goldman's explosive growth during the 1990s and its eventual IPO in 1999, a diverse group of leaders from across the firm were...
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- August 1996 (Revised August 1997)
- Case
TNT Limited's Logistics Services in Asia (A): The Strategy
By: Michael Y. Yoshino and Carin-Isabel Knoop
Meredith Hellicar's mission as general manager of corporate development is to make TNT Ltd. one of the biggest and most diverse transport and logistic companies in the world, with approximately $5 billion in turnover in 1993, a leading provider of logistics services in...
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