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- All HBS Web
(2,271)
- News (343)
- Research (1,572)
- Events (18)
- Multimedia (7)
- Faculty Publications (745)
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- 2012
- Working Paper
An Outside-Inside Evolution in Gender and Professional Work
By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb
We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details
Keywords: Professional Service Firms; Social Institutions; Organizational Learning; Organizational Change and Adaptation; Employment; Gender; Society; Service Industry
Ramarajan, Lakshmi, Kathleen McGinn, and Deborah Kolb. "An Outside-Inside Evolution in Gender and Professional Work." Harvard Business School Working Paper, No. 13-051, November 2012. (Work in progress for requested submission, Research in Organizational Behavior.)
- September 2017
- Article
The Belief in a Favorable Future
By: Todd Rogers, Don A. Moore and Michael I. Norton
People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details
Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior
Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
- January 1999
- Exercise
Seneca Systems (B): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division
Seneca is a three-party negotiation-mediation simulation. The context is a product failure crisis in a manufacturing company with highly autonomous units. The heads of two divisions are in a dispute over who has responsibility for failures in a key product. The head of... View Details
Watkins, Michael D. "Seneca Systems (B): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division." Harvard Business School Exercise 899-173, January 1999.
- January 1999
- Exercise
Seneca Systems (A): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division
Seneca is a three-party negotiation-mediation simulation. The context is a product failure crisis in a manufacturing company with highly autonomous units. The heads of two divisions are in a dispute over who has responsibility for failures in a key product. The head of... View Details
Watkins, Michael D. "Seneca Systems (A): General and Confidential Instructions for Dr. D. Monosoff, Vice President, Data Devices Division." Harvard Business School Exercise 899-170, January 1999.
- June 2018 (Revised June 2018)
- Case
Facebook Confronts a Crisis of Trust
By: William W. George and Amram Migdal
The case, “Facebook Confronts a Crisis of Trust,” starts with the crisis Facebook founder and CEO Mark Zuckerberg is facing in March 2018 over Cambridge Analytica’s accessing data from 87 million Facebook accounts in order to influence the 2016 U.S. Presidential... View Details
Keywords: Facebook; Data Privacy; Data Manipulation; Data Science; Political Campaigns; Political Influence; Voter Mobilization; Voters' Interests; Election Outcomes; Elections; Cambridge Analytica; Mark Zuckerberg; Sheryl Sandberg; Voting; Decision Making; Demographics; Ethics; Geopolitical Units; Government and Politics; Government Legislation; National Security; Political Elections; Information Management; Leadership; Leadership Style; Crisis Management; Social Psychology; Personal Characteristics; Power and Influence; Society; Public Opinion; Technology Industry; United States; United Kingdom
George, William W., and Amram Migdal. "Facebook Confronts a Crisis of Trust." Harvard Business School Case 318-145, June 2018. (Revised June 2018.)
- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details
Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- 2008
- Working Paper
I Am Not on the Market, I Am Here with Friends: Using On-Line Social Networks to Find a Job or a Spouse
By: Mikolaj Jan Piskorski
Sociologists have extensively documented that networks influence market exchange through improved matching and vouching. In this paper, I propose that networks can also blunt the signal of market participation, as actors who are on the market surrounded by their... View Details
- 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.)
- August 2012 (Revised October 2015)
- Case
LinkedIn Corporation, 2012
By: David Yoffie and Liz Kind
Since its inception in 2003, LinkedIn had become a leading Silicon Valley institution with a brand name that was recognizable throughout the U.S. and in many countries overseas. As of March 2012, LinkedIn was the world's largest professional network on the Internet... View Details
Keywords: Social Networking; Media; Technology; Strategy; Growth Management; Internet and the Web; Corporate Strategy; Social and Collaborative Networks; Brands and Branding; Social Media; Service Industry; Media and Broadcasting Industry; California
Yoffie, David, and Liz Kind. "LinkedIn Corporation, 2012." Harvard Business School Case 713-420, August 2012. (Revised October 2015.)
- March 30, 2020
- Article
Why Is the U.S. Behind on Coronavirus Testing?
By: Stefan Thomke
Coronavirus testing is needed to address the uncertainty in making decisions about patient treatment, resource allocation, policy, and so much more. Answers to questions such as “When should we relax social distancing measures—and for whom?” or “How many ventilators... View Details
Keywords: Testing; Coronavirus; Culture; Trump; Data; Experiments; Health Pandemics; Health Testing and Trials; Government and Politics; United States
Thomke, Stefan. "Why Is the U.S. Behind on Coronavirus Testing?" Harvard Business Review Digital Articles (March 30, 2020).
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- Article
Understanding Boards of Directors: A Systems Perspective
By: Jay W. Lorsch
In this essay, my goal is to explore why, despite the tireless efforts of talented people, research on corporate governance has been slow and uneven, and where that research should turn to next to be most valuable to practitioners. My belief is that the most fruitful... View Details
Keywords: Corporate Boards; Business Admnistration; Social Systems; Corporate Governance; Governing and Advisory Boards; System
Lorsch, Jay W. "Understanding Boards of Directors: A Systems Perspective." Annals of Corporate Governance 2, no. 1 (February 2017): 1–49.
- 2021
- Working Paper
Does Who Helps You Impact Your Behavior? Examining the Effects of Social Interactions on Knowledge Sharing in Online Communities
By: Eunkwang Seo, Frank Nagle and Sonali K. Shah
Online communities provide vibrant forums for knowledge sharing and are increasingly being used by individual users and firms to source knowledge and create and capture value. Yet, there is much to learn about how the actions of community members affect other members,... View Details
Keywords: Online Communities; Knowledge Development; Innovation; Reciprocity; Knowledge Sharing; Networks; Innovation and Invention; Interpersonal Communication
Seo, Eunkwang, Frank Nagle, and Sonali K. Shah. "Does Who Helps You Impact Your Behavior? Examining the Effects of Social Interactions on Knowledge Sharing in Online Communities." Harvard Business School Working Paper, No. 21-026, August 2020. (Revised July 2021.)
- January 2023
- Supplement
Apple: Privacy vs. Safety (B)
By: Henry McGee, Nien-hê Hsieh and Christian Godwin
In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered to develop a contact tracing application that would collect information about users infected with the disease and notify those who they had been in contact with. While Apple/Google’s... View Details
Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; Health; Health Pandemics; Leadership; Markets; Safety; Social Issues; Information Technology; Telecommunications Industry; Technology Industry; Consumer Products Industry; Electronics Industry; Health Industry; United States; Europe
McGee, Henry, Nien-hê Hsieh, and Christian Godwin. "Apple: Privacy vs. Safety (B)." Harvard Business School Supplement 323-066, January 2023.
- Research Summary
Overview
When information is digitized, it can be aggregated and shared nearly instantly. I am interested in how this acceleration in the aggregation and availability of information, via digitization, affects firms and firm strategy.
Platforms have emerged as marketplaces for... View Details
Keywords: Market Platforms; Social Media; Information Disclosure; Platform Strategy; Innovation Strategy; Collaborative Innovation and Invention; Technological Innovation; Intellectual Property; Information; Technology Platform; Information Industry; Information Technology Industry; Technology Industry; Web Services Industry
- January 2014 (Revised January 2017)
- Case
Nivea (A)
By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar
The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details
Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry
Lakhani, Karim R., Johann Fuller, Volker Bilgram, and Greta Friar. "Nivea (A)." Harvard Business School Case 614-042, January 2014. (Revised January 2017.)
- 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.)
- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
- Article
ESG Integration in Investment Management: Myths and Realities
By: Sakis Kotsantonis, Christopher Pinney and George Serafeim
The authors’ aim in this article is to set the record straight on the financial performance of sustainable investing while also correcting a number of other widespread misconceptions about this rapidly growing set of principles and methods.
Myth Number 1:... View Details
Keywords: ESG; Sustainability; Investment Management; Finance; Corporate Social Responsibility; Integrated Corporate Reporting; Corporate Social Responsibility and Impact; Investment; Environmental Sustainability; Corporate Governance
Kotsantonis, Sakis, Christopher Pinney, and George Serafeim. "ESG Integration in Investment Management: Myths and Realities." Journal of Applied Corporate Finance 28, no. 2 (Spring 2016): 10–16.
- 2024
- Working Paper
What Do Impact Investors Do Differently?
In recent years, impact investors – private investors who seek to generate simultaneously financial and social returns – have attracted intense interest and controversy. We analyze a novel, comprehensive data set of impact and traditional investors to assess how the... View Details
Keywords: ESG; Socially Responsible Investing; Investment Decisions; Public Goods; Impact Investment; Investment; Private Equity; Venture Capital
Cole, Shawn, Leslie Jeng, Josh Lerner, Natalia Rigol, and Benjamin N. Roth. "What Do Impact Investors Do Differently?" Harvard Business School Working Paper, No. 24-028, November 2023. (Revise and Resubmit, Review of Financial Studies.)