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- All HBS Web
(117,152)
- Faculty Publications (37,450)
- 2020
- Chapter
The International Origins and Global Aspirations of Chinese Universities: Along the New Silk Road
By: William C. Kirby
Kirby, William C. "The International Origins and Global Aspirations of Chinese Universities: Along the New Silk Road." Chap. 1 in China and Europe on the New Silk Road: Connecting Universities Across Eurasia, edited by Marijk C. van der Wende, William C. Kirby, Nian Cai Liu, and Simon Marginson, 18–32. Oxford University Press, 2020.
- October 2020
- Article
The Supply Chain Economy: A New Industry Categorization for Understanding Innovation in Services
By: Mercedes Delgado and Karen G. Mills
An active debate has centered on the importance of manufacturing for driving innovation in the U.S. economy. This paper offers an alternative framework that focuses on the role of suppliers of goods and services (the “supply chain economy”) in national performance. We... View Details
Keywords: Supply Chain Industries; Business-to-consumer Industries; Services; Innovation; Economy; Framework; Supply Chain; Service Operations; Innovation and Invention; Economic Growth; United States
Delgado, Mercedes, and Karen G. Mills. "The Supply Chain Economy: A New Industry Categorization for Understanding Innovation in Services." Research Policy 49, no. 8 (October 2020).
- October 2020
- Article
What Goes Down When Advice Goes Up: Younger Advisers Underestimate Their Impact
By: Ting Zhang and Michael S. North
Common wisdom suggests that older is wiser. Consequently, people rarely give advice to older individuals—even when they are relatively more expert—leading to missed learning opportunities. Across six studies (N=3,445), we explore the psychology of advisers when they... View Details
Zhang, Ting, and Michael S. North. "What Goes Down When Advice Goes Up: Younger Advisers Underestimate Their Impact." Personality and Social Psychology Bulletin 46, no. 10 (October 2020): 1444–1460.
- October 2020
- Article
Why Time Poverty Matters for Individuals, Organisations, and Nations
By: Laura Giurge, Ashley V. Whillans and Colin West
Over the last two decades, global wealth has risen. Yet, material affluence has not translated into time affluence. Instead, most people today report feeling persistently “time poor”—like they have too many things to do and not enough time to do them. This is critical... View Details
Giurge, Laura, Ashley V. Whillans, and Colin West. "Why Time Poverty Matters for Individuals, Organisations, and Nations." Nature Human Behaviour 4, no. 10 (October 2020): 993–1003. (Shared Authorship.)
- September 2020 (Revised January 2021)
- Case
Comviva: Exploring New Frontiers (A)
By: Dante Roscini and Mahima Rao-Kachroo
Comviva, a mobile solutions provider active in India and 94 other countries, has had a rich history and been successful across many emerging and complex markets: Latin America, South-East Asia, Africa. What are the lessons learnt from expansion, cultural fits, and... View Details
Keywords: Internet and the Web; Acquisition; Emerging Markets; Cross-Cultural and Cross-Border Issues; Mobile and Wireless Technology; Growth and Development Strategy; Telecommunications Industry; India; South Asia
Roscini, Dante, and Mahima Rao-Kachroo. "Comviva: Exploring New Frontiers (A)." Harvard Business School Case 721-006, September 2020. (Revised January 2021.)
- September 2020
- Supplement
Comviva: Exploring New Frontiers (B)
By: Dante Roscini, Mahima Rao-Kachroo and Shreya Ramachandran
After articulating its ambitious growth plans, mobile services provider Mahindra Comviva, active in over 90 countries, is thinking about how to titrate and re-plan its growth strategy given the coronavirus pandemic. Its India headquarters considers its people costs,... View Details
Roscini, Dante, Mahima Rao-Kachroo, and Shreya Ramachandran. "Comviva: Exploring New Frontiers (B)." Harvard Business School Supplement 721-010, September 2020.
- September 2020 (Revised April 2022)
- Case
Culture Transformation at Microsoft: From ‘Know It All’ to ‘Learn It All’
By: Francesca Gino, Allison Ciechanover and Jeff Huizinga
Gino, Francesca, Allison Ciechanover, and Jeff Huizinga. "Culture Transformation at Microsoft: From ‘Know It All’ to ‘Learn It All’." Harvard Business School Case 921-004, September 2020. (Revised April 2022.)
- September 30, 2020
- Article
How Nonprofit Foundations Can Sustainably Fund Disease Research
By: Richard G. Hamermesh and Kathy Giusti
Hamermesh, Richard G., and Kathy Giusti. "How Nonprofit Foundations Can Sustainably Fund Disease Research." Harvard Business Review Digital Articles (September 30, 2020).
- 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.)