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All HBS Web
(2,281)
- Faculty Publications (303)
- 16 Jun 2021
- Interview
Harvard Business School: How to Build Fearless Organizations
By: Amy C. Edmondson and Ron Lovett
Our guest is Amy Edmondson - Professor of Leadership and Management at Harvard Business School. Amy has authored multiple books, including her most recent, The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation and...
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"Harvard Business School: How to Build Fearless Organizations." No. 51. Scaling Culture (podcast), June 16, 2021.
- June 2021
- Case
Akira Fukabori and Kevin Kajitani at avatarin (A)
By: Linda A. Hill and Emily Tedards
In 2016, Akira Fukabori and Kevin Kajitani, aeronautical engineers at All Nippon Airways Co., Ltd., began to wonder why, in a world of accelerating globalization and digital connectivity, those who lived in far-remote villages or impoverished urban areas could not...
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Keywords:
Agility;
Ecosystem;
Innovation Ecosystems;
Crowdsourcing;
Open Innovation;
Partnership;
Government;
Collaboration;
Co-creation;
Purpose;
Impact;
Social Impact;
Movement;
Organizational Behavior;
Organizational Ambidexterity;
Ambidexterity;
Culture;
Culture Change;
Global Teams;
Experimentation;
Space;
Airline Industry;
Start-up;
Platform Business;
Platform Strategy;
Platform;
Digital;
Robotics;
Robots;
Mobility;
Strategy;
COVID-19;
Intrapreneurship;
Public-private Partnership;
XPRIZE;
Space Industry;
Avatar;
Telepresence;
Innovation Lab;
Innovation and Invention;
Technological Innovation;
Partners and Partnerships;
Collaborative Innovation and Invention;
Alignment;
Leadership;
Leading Change;
Diversity;
Organizational Culture;
Change Management;
Entrepreneurship;
Digital Platforms;
Transportation Industry;
Aerospace Industry;
Japan
Hill, Linda A., and Emily Tedards. "Akira Fukabori and Kevin Kajitani at avatarin (A)." Harvard Business School Case 421-089, June 2021.
- June 2021
- Case
Akira Fukabori and Kevin Kajitani at avatarin (A) (Abridged)
By: Linda A. Hill and Emily Tedards
In 2016, Akira Fukabori and Kevin Kajitani, aeronautical engineers at All Nippon Airways Co., Ltd., began to wonder why, in a world of accelerating globalization and digital connectivity, those who lived in far-remote villages or impoverished urban areas could not...
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Keywords:
Agility;
Ecosystem;
Innovation Ecosystems;
Innovation;
Crowdsourcing;
XPRIZE;
Open Innovation;
Partnership;
Government;
Collaboration;
Co-creation;
Purpose;
Impact;
Social Impact;
Movement;
Organizational Behavior;
Organizational Ambidexterity;
Ambidexterity;
Culture;
Culture Change;
Global Teams;
Experimentation;
Space;
Space Industry;
Airline Industry;
Start-up;
Platform Business;
Platform Strategy;
Platform;
Digital;
Robotics;
Robots;
Avatar;
Telepresence;
Innovation Lab;
Mobility;
COVID-19;
Intrapreneurship;
Public-private Partnership;
Innovation and Invention;
Technological Innovation;
Partners and Partnerships;
Collaborative Innovation and Invention;
Alignment;
Leadership;
Leading Change;
Diversity;
Organizational Culture;
Change Management;
Strategy;
Entrepreneurship;
Digital Platforms;
Transportation Industry;
Aerospace Industry;
Japan
Hill, Linda A., and Emily Tedards. "Akira Fukabori and Kevin Kajitani at avatarin (A) (Abridged)." Harvard Business School Case 421-085, June 2021.
- Article
Diversity and Team Performance in a Kenyan Organization
By: Benjamin Marx, Vincent Pons and Tavneet Suri
We present the results from a field experiment on team diversity. Individuals working as door-to-door canvassers for a non-profit organization were randomly assigned a teammate, a supervisor, and a list of individuals to canvass. This created random variation within...
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Keywords:
Ethnic Diversity;
Organizational Behavior;
Labor Management;
Groups and Teams;
Diversity;
Performance
Marx, Benjamin, Vincent Pons, and Tavneet Suri. "Diversity and Team Performance in a Kenyan Organization." Art. 104332. Journal of Public Economics 197 (May 2021).
- May 2021
- Article
Ideology and Composition Among an Online Crowd: Evidence From Wikipedians
By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that...
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Keywords:
User Segregation;
Online Community;
Contested Knowledge;
Collective Intelligence;
Ideology;
Bias;
Wikipedia;
Knowledge Sharing;
Perspective;
Government and Politics
Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
- April 2021
- Exercise
Valuing Employment Exercise
By: George Serafeim, Ethan Rouen and Katie Panella
The Valuing Employment exercise can be used to show the importance of impact measurement in designing incentives and contracts. The exercise has two phases. In the first phase, participants play the role of managers at the State of Massachusetts Infrastructure...
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Keywords:
Bid Evaluation;
Workforce;
Impact Measurement;
Bids and Bidding;
Contracts;
Design;
Measurement and Metrics
Serafeim, George, Ethan Rouen, and Katie Panella. "Valuing Employment Exercise." Harvard Business School Exercise 121-086, April 2021.
- 2021
- Book
Glass Half-Broken: Shattering the Barriers That Still Hold Women Back at Work
By: Colleen Ammerman and Boris Groysberg
Why does the gender gap persist and how can we close it? For years women have made up the majority of college-educated workers in the United States. In 2019, the gap between the percentage of women and the percentage of men in the workforce was the smallest on record....
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Keywords:
Women;
Career;
Gender Gap;
Glass Ceiling;
Gender;
Employment;
Personal Development and Career;
Equality and Inequality;
Organizational Culture;
Diversity;
Management;
Strategy
Ammerman, Colleen, and Boris Groysberg. Glass Half-Broken: Shattering the Barriers That Still Hold Women Back at Work. Boston: Harvard Business Review Press, 2021.
- 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
- Article
A Multicountry Perspective on Gender Differences in Time Use During COVID-19
By: Laura M. Giurge, Ashley V. Whillans and Ayse Yemiscigil (shared authorship)
The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples of remote workers from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered...
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Keywords:
Time;
Subjective Well-being;
COVID-19;
Health Pandemics;
Gender;
Time Management;
Well-being;
Work-Life Balance;
Global Range
Giurge, Laura M., Ashley V. Whillans, and Ayse Yemiscigil (shared authorship). "A Multicountry Perspective on Gender Differences in Time Use During COVID-19." Proceedings of the National Academy of Sciences 118, no. 12 (March 23, 2021).
- March 2021 (Revised September 2021)
- Case
Applied: Using Behavioral Science to Debias Hiring
By: Ashley Whillans and Jeff Polzer
The UK government’s Behavioural Insights Team (BIT) needed to hire a new associate and were trying to increase the diversity of their job candidates. This decision was based on academic research showing that recruiters and managers often fell into common traps like...
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Keywords:
Hiring;
Bias;
Behavioral Science;
Selection and Staffing;
Diversity;
Prejudice and Bias;
Information Technology;
Recruitment
Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring." Harvard Business School Case 921-046, March 2021. (Revised September 2021.) (https://www.beapplied.com/.)
- 2021
- Chapter
Governing for Growth in Scope: Cultivating a Comparative Understanding of How Peer Production Collectives Evolve
By: Rebecca Karp, Amisha Miller and Siobhan O'Mahony
One of the early challenges for any peer production collective is how to govern the growth of new members or contributors. Scope growth was not a topic of concern when scholars were focused on understanding the emergence of peer production collectives as a phenomenon...
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Keywords:
Peer Production Collectives;
Scope Growth;
Collaborative Innovation and Invention;
Governance;
Growth Management
Karp, Rebecca, Amisha Miller, and Siobhan O'Mahony. "Governing for Growth in Scope: Cultivating a Comparative Understanding of How Peer Production Collectives Evolve." Chap. 11 in The Handbook of Peer Production, edited by Mathieu O'Neil, Christian Pentzold, and Sophie Toupin, 137–152. John Wiley & Sons, 2021.
- January 2021
- Case
Takeda Pharmaceutical Company Limited (A)
By: David J. Collis, Nobuo Sato and Akiko Kanno
This case follows Christophe Weber, President and CEO of Takeda Pharmaceutical Company Limited, a leading pharmaceutical company headquartered in Tokyo, Japan, as Takeda considers acquiring Shire Plc, a biotech company based in Ireland. The acquisition would turn...
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Keywords:
Pharmaceutical Companies;
Pharmaceuticals;
Biotech;
Biotechnology;
M&A;
Mergers & Acquisitions;
R&D;
Talent Management;
Mergers and Acquisitions;
Globalization;
Management;
Global Strategy;
Talent and Talent Management;
Pharmaceutical Industry;
Biotechnology Industry;
Japan;
Asia
Collis, David J., Nobuo Sato, and Akiko Kanno. "Takeda Pharmaceutical Company Limited (A)." Harvard Business School Case 721-373, January 2021.
- November 2020
- Case
Truebird—An AlleyCorp Venture
By: Shikhar Ghosh and Shweta Bagai
In December 2018, Kevin Ryan and Wendy Tsu faced an important decision – to finalize the CEO candidate for Truebird, an innovative, automated coffee café concept. Like many of AlleyCorp and Ryan’s companies, Truebird started with the observation of an unmet need – an...
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Keywords:
Startup;
Hiring;
Staffing;
Recruiting;
Business Startups;
Finance;
Leadership;
Management Skills;
Management Teams;
Jobs and Positions;
Job Interviews;
Human Resources;
Recruitment;
Selection and Staffing;
Technology Industry;
Food and Beverage Industry;
United States
Ghosh, Shikhar, and Shweta Bagai. "Truebird—An AlleyCorp Venture." Harvard Business School Case 821-030, November 2020.
- October 2020 (Revised December 2020)
- Case
Investing at Pivotal Ventures
By: Emil N. Siriwardane, Emily R. McComb and Eren Kuzucu
Launched in 2015 by Melinda Gates, co-chair of the Bill & Melinda Gates Foundation, Pivotal Ventures is an investment and incubation company. The company aims to support and promote transformational ideas, people and organizations, and advance social progress for women...
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Siriwardane, Emil N., Emily R. McComb, and Eren Kuzucu. "Investing at Pivotal Ventures." Harvard Business School Case 221-033, October 2020. (Revised December 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.)