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The organizational theory of the multinational firms holds that foreignness is a liability, and specifically that lack of embeddedness in...
Although one of the central questions in the global strategy field is how multinational firms successfully navigate multiple and often conflicting...
- 2021
- White Paper
The Future of Boston’s Workforce: The Path Forward from COVID-19
By: Will Dorsey Eden, Joseph B. Fuller and Rachel Lipson
In response to the unprecedented disruption of the COVID-19 pandemic on Greater Boston’s economy and workforce, the Boston Foundation, Skillworks, and the Project on Workforce at Harvard partnered to convene workforce leaders from across the region to address how might...
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- 2021
- Working Paper
The Diffusion of Disruptive Technologies
By: Nicholas Bloom, Tarek A. Hassan, Aakash Kalyani, Josh Lerner and Ahmed Tahoun
We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from...
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- 2021
- Working Paper
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received...
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- June 2021
- Article
Making Marketplaces Safe: Dominant Individual Rationality and Applications to Market Design
By: Benjamin N. Roth and Ran I. Shorrer
Often market designers cannot force agents to join a marketplace rather than using pre-existing institutions. We propose a new desideratum for marketplace design that guarantees the safety of participation: Dominant Individual Rationality (DIR). A marketplace is DIR if...
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- May 2021
- Case
Colombia: An Economic Premium to Peace?
Keywords:
Productivity;
Productivity Growth;
Conflict;
Conflict Management;
Labor Force Participation;
Labor Market;
Competitiveness;
Dutch Disease;
Security;
Peace;
Informality;
Labor Laws;
Total Factor Productivity;
Labor Productivity;
Economics;
Development Economics;
Economic Growth;
Economy;
Macroeconomics;
Competitive Advantage;
Infrastructure;
Negotiation;
Inflation and Deflation;
Non-Renewable Energy;
National Security;
Government Administration;
Latin America;
Central America;
Colombia;
South America
- May–June 2021
- Article
How to Close the Gender Gap
By: Colleen Ammerman and Boris Groysberg
Most companies say they’re committed to advancing women into leadership roles. What they may fail to recognize, though, is that systemic barriers are holding women back. As a result, women remain disadvantaged at every stage of their employment and underrepresented in...
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- April 2021
- Teaching Plan
Nehemiah Mfg. Co.: Providing a Second Chance
By: Brian Trelstad and John Masko
Teaching Plan for HBS Case No. 320-008. In 2009, Dan Meyer and Richard Palmer, two veterans of the fast-moving consumer goods (FMCG) industry, founded Nehemiah Manufacturing to build FMCG brands while providing jobs to Cincinnati, Ohio’s beleaguered urban core. Two...
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- April 2021 (Revised June 2021)
- Case
OneTen: One Million Opportunities in Ten Years
By: V. Kasturi Rangan and Courtney Han
In the wake of George Floyd's killing in May 2020, and widespread protests for social justice in the United States, OneTen was formed by a coalition of 40 large companies to provide one million jobs for African-Americans in 10 years. The case describes the background...
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- 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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- 2021
- Working Paper
Information Spillovers in Experience Goods Competition
By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas
When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on...
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- 2021
- Working Paper
Dynamic Competition for Customer Memberships
By: Cristian Chica and Jorge Tamayo
A competitive two-period membership (subscription) market is analyzed. Two symmetric firms charge a “membership” fee that allows consumers to buy products or services at a given unit price for both periods. Firms can choose between long- or short-term memberships. When...
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- November 2020
- Article
Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,...
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- 2020
- Working Paper
The Stock Market Value of Human Capital Creation
By: Matthias Regier and Ethan Rouen
We develop measures of firm-level human capital creation from publicly disclosed personnel expenses (PE) and examine the stock market valuation of these characteristics. Separately measuring human capital creation efficacy and opportunity, we first show...
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- 2021
- Working Paper
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
By: Shai Benjamin Bernstein, Richard Townsend and Ting Xu
Using proprietary data from AngelList Talent, we study how individuals’ job search and application behavior changed during the COVID-19 downturn. We find that job seekers shifted their searches toward more established firms and away from early-stage startups, even...
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- September 2020
- 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;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised December 2020)
- 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 April 2021)
- 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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- September 2020 (Revised April 2021)
- 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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- September 2020 (Revised March 2021)
- 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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