Filter Results
:
(37,292)
Show Results For
-
All HBS Web
(115,927)
- Faculty Publications (37,292)
Show Results For
-
All HBS Web
(115,927)
- Faculty Publications (37,292)
- September 2020
- Supplement
J.C. Penney: Tough Choices for Allen Questrom (B)
By: Susanna Gallani, Gregory Sabin, Amela Pjetrovic and Edoardo Cacciamani
Gallani, Susanna, Gregory Sabin, Amela Pjetrovic, and Edoardo Cacciamani. "J.C. Penney: Tough Choices for Allen Questrom (B)." Harvard Business School Supplement 121-032, September 2020.
- 2020
- Blog
LinkedIn Articles: Our Impact on the Environment
By: George Serafeim
Serafeim, George. "Our Impact on the Environment." LinkedIn Articles (blog). September 29, 2020. https://www.linkedin.com/pulse/our-impact-environment-george-serafeim/.
- September 2020
- Case
The Black New Venture Competition
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to do something to make a difference for...
View Details
Keywords:
Startup;
Start-up;
Startup Financing;
Startups;
Start-ups;
African-American Protagonist;
African-american Entrepreneurs;
African-american Investors;
African-Americans;
African-American Women;
Black Leadership;
Black Inventors;
Black Entrepreneurs;
Harvard Business School;
Harvard;
Business And Society;
Early Stage Funding;
Early Stage Finance;
Technology Entrepreneurship;
Discrimination;
Technology Ventures;
Entrepreneurial Finance;
Entrepreneurial Financing;
Business Plan;
Business Startups;
Business Ventures;
Financing and Loans;
Business Growth and Maturation;
Diversity;
Gender;
Race;
Entrepreneurship;
Venture Capital;
Small Business;
Leadership;
Information Technology;
Competition;
Technology Industry
Mills, Karen, Jeffrey J. Bussgang, Martin Sinozich, and Gabriella Elanbeck. "The Black New Venture Competition." Harvard Business School Case 821-029, September 2020.
- September 28, 2020
- Article
In R&D, Generalists Are More Valuable Than You Think
By: Frank Nagle and Florenta Teodoridis
Nagle, Frank, and Florenta Teodoridis. "In R&D, Generalists Are More Valuable Than You Think." Harvard Business Review Digital Articles (September 28, 2020).
- September 2020 (Revised February 2021)
- Case
Pricing the Priceless: Covering Transformational Medicines at Harvard Pilgrim Health Plan
By: Amitabh Chandra and Sofia Guerra
Chandra, Amitabh, and Sofia Guerra. "Pricing the Priceless: Covering Transformational Medicines at Harvard Pilgrim Health Plan." Harvard Business School Case 621-059, September 2020. (Revised February 2021.)
- 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;
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...
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;
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...
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
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;
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...
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;
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 December 2021)
- Case
Building India's 2.0: PayNearby
By: Lauren Cohen and Spencer C. N. Hagist
Headquartered in Mumbai, India, FinTech startup Nearby Technologies has seen its flagship brand, PayNearby, rapidly flourish across most of its target market within just four years. The unprecedented success of its payment app, which allows users to access banking...
View Details
Keywords:
Fintech;
Developing Markets;
Payments;
Financial Inclusion;
Finance;
Entrepreneurship;
Emerging Markets;
Competitive Strategy;
Banking Industry;
India
Cohen, Lauren, and Spencer C. N. Hagist. "Building India's 2.0: PayNearby." Harvard Business School Case 221-027, September 2020. (Revised December 2021.)
- September 2020
- Case
Enabling Teamwork at the Cleveland Clinic
By: Amy C. Edmondson and Michaela J. Kerrissey
This case examines efforts to foster teamwork within and across work units in the Cleveland Clinic, a large, distributed healthcare delivery organization. With a long history of valuing teamwork since its founding in 1921, the Clinic had taken dramatic steps to further...
View Details
Keywords:
Teamwork;
Teaming;
Health Care;
Health Care and Treatment;
Groups and Teams;
Health Industry;
United States
Edmondson, Amy C., and Michaela J. Kerrissey. "Enabling Teamwork at the Cleveland Clinic." Harvard Business School Case 621-040, September 2020.
- 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
- 2020
- Working Paper
Bankruptcy and the COVID-19 Crisis
By: Jialan Wang, Jeyul Yang, Benjamin Iverson and Raymond Kluender
We examine the impact of the COVID-19 economic crisis on business and consumer bankruptcies in the United States using real-time data on the universe of filings. Historically, bankruptcies have closely tracked the business cycle and contemporaneous unemployment rates....
View Details
Keywords:
Bankruptcy;
Financial Distress;
COVID-19;
Insolvency and Bankruptcy;
Financial Crisis;
Health Pandemics;
United States
Wang, Jialan, Jeyul Yang, Benjamin Iverson, and Raymond Kluender. "Bankruptcy and the COVID-19 Crisis." Harvard Business School Working Paper, No. 21-041, September 2020.
- September 2020
- Case
Blackstone: Crocs Investment
By: Victoria Ivashina, John D. Dionne and Terrence Shu
This case follows Prakash Melwani (HBS MBA '86), CIO of Blackstone's Private Equity Group, and his teams’ investment in the footwear company Crocs. Instead of a traditional secondary offering, Crocs opted for a unique deal structure by taking Blackstone's cash in a...
View Details
Ivashina, Victoria, John D. Dionne, and Terrence Shu. "Blackstone: Crocs Investment." Harvard Business School Case 221-023, September 2020.