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      • Faculty Publications  (37,963)
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      • 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
      Keywords: Time Poverty; Health; Well-being; Human Needs; Global Range
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      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
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      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
      Keywords: Health Pandemics; Growth and Development Strategy; Adaptation; India
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      Roscini, Dante, Mahima Rao-Kachroo, and Shreya Ramachandran. "Comviva: Exploring New Frontiers (B)." Harvard Business School Supplement 721-010, September 2020.
      • September 30, 2020
      • Article

      How Nonprofit Foundations Can Sustainably Fund Disease Research

      By: Richard G. Hamermesh and Kathy Giusti
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      Hamermesh, Richard G., and Kathy Giusti. "How Nonprofit Foundations Can Sustainably Fund Disease Research." Harvard Business Review Digital Articles (September 30, 2020).
      • September 2020
      • Teaching Note

      Employee Activism (A) and (B)

      By: Ethan Rouen
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      Rouen, Ethan. "Employee Activism (A) and (B)." Harvard Business School Teaching Note 121-031, September 2020.
      • September 2020
      • Supplement

      J.C. Penney: Tough Choices for Allen Questrom (B)

      By: Susanna Gallani, Gregory Sabin, Amela Pjetrovic and Edoardo Cacciamani
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      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
      Keywords: Environmental Impact; Impact-Weighted Accounts; IWAI; Articles
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      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

      By: Karen Mills, Jeffrey J. Bussgang, Martin Sinozich and Gabriella Elanbeck
      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
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      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
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      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
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      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
      Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020. (Revised July 2022.)
      • 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
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      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
      Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
      • 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
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      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
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      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
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      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
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      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
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      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
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      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
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. Spreadsheet Supplement to "Artea: Designing Targeting Strategies". Harvard Business School Spreadsheet Supplement 521-703, September 2020. (Revised July 2022.)
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