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- November–December 2023
- Article
Storytelling That Drives Bold Change
By: Frances X. Frei and Anne Morriss
When tackling urgent organizational problems, leaders usually work hard to identify underlying causes, tap a wide range of knowledge, and experiment with solutions. But once they’ve mapped out a plan, there’s one more crucial step they must take: crafting a story so...
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Keywords:
Organizational Culture;
Organizational Change and Adaptation;
Problems and Challenges;
Emotions;
Communication Strategy
Frei, Frances X., and Anne Morriss. "Storytelling That Drives Bold Change." Harvard Business Review 101, no. 6 (November–December 2023): 62–71.
- November 2023
- Article
When Executives Pledge Integrity: The Effect of the Accountant's Oath on Firms' Financial Reporting
By: Jonas Heese, Gerardo Pérez Cavazos and Caspar David Peter
We study the effect of executives’ pledges of integrity on firms’ financial reporting outcomes by exploiting a 2016 regulation that requires holders of Dutch professional accounting degrees to pledge an integrity oath. We identify chief executive officers (CEOs) and...
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Heese, Jonas, Gerardo Pérez Cavazos, and Caspar David Peter. "When Executives Pledge Integrity: The Effect of the Accountant's Oath on Firms' Financial Reporting." Accounting Review 98, no. 7 (November 2023): 261–288.
- October 20, 2023
- Article
How ENGOs Can Support Corporate Climate Change Efforts
Nearly half of CEOs view climate change as affecting their companies now or within the coming decade, but there is also a wide gap between what CEOs say is progress on tackling climate change and what many of their investors believe are effective actions. Companies...
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Keywords:
Climate Change;
Corporate Social Responsibility and Impact;
Business and Shareholder Relations
Toffel, Michael W. "How ENGOs Can Support Corporate Climate Change Efforts." Harvard Business Review (website) (October 20, 2023).
- 2023
- Working Paper
Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks
By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the
economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to
understand the role of employee connections at all job levels in...
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Keywords:
Networks;
Value;
Social and Collaborative Networks;
Innovation and Invention;
Knowledge Sharing;
Employees;
Social Media
Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by...
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Keywords:
Online Dating;
Internet and the Web;
Analytics and Data Science;
Gender;
Emotions;
Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- 2023
- Working Paper
The Effects of Cryptocurrency Wealth on Household Consumption and Investment
By: Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson and Jason Kotter
This paper uses transaction-level data across millions of accounts to identify cryptocurrency investors and evaluate how fluctuations in individual crypto wealth affect household consumption, equity investment, and local real estate markets. We estimate an MPC out of...
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Keywords:
Cryptocurrency;
Marginal Propensity To Consume;
Household Balance Sheet;
Real Estate;
Etherium;
Bitcoin;
Investment;
Housing;
Spending
Aiello, Darren, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson, and Jason Kotter. "The Effects of Cryptocurrency Wealth on Household Consumption and Investment." Harvard Business School Working Paper, No. 23-077, June 2023.
- 2023
- Working Paper
The Politics of Philanthropy in China
By: Geoffrey Jones and Yuhai Wu
This working paper looks historically at business philanthropy in China. In the West, the literature has distinguished between entrepreneurial and customary philanthropy, while the phenomenon of spiritual philanthropy has been identified in many emerging markets. This...
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Keywords:
China;
Philanthropy;
Ethics;
Philanthropy and Charitable Giving;
Moral Sensibility;
Corporate Social Responsibility and Impact;
Economic Systems;
Economic Sectors;
China
Jones, Geoffrey, and Yuhai Wu. "The Politics of Philanthropy in China." Harvard Business School Working Paper, No. 23-067, May 2023.
- 2023
- Working Paper
Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
Problem definition: Communication and customer interaction design have been used as elements to improve customer satisfaction and future purchasing behavior, but little is known about how they can be used as levers to improve operational...
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Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services." Working Paper, May 2023.
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its...
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Keywords:
Causal Inference;
Homophily;
Social Networks;
Peer Influence;
Social and Collaborative Networks;
Power and Influence;
Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in...
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Keywords:
Racial Disparity;
Paycheck Protection Program;
Measurement Error;
AI and Machine Learning;
Race;
Measurement and Metrics;
Equality and Inequality;
Prejudice and Bias;
Forecasting and Prediction;
Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
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Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management...
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Keywords:
AI and Machine Learning;
Personal Characteristics;
Perception;
Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- February 2023
- Article
Homophily and Acrophily as Drivers of Political Segregation
By: Amit Goldenberg, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin and James J. Gross
Political segregation is an important social problem, increasing polarization and impeding effective governance. Previous work has viewed the central driver of segregation to be political homophily, the tendency to associate with others who have similar views. Here we...
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Keywords:
Political Affiliation;
Extremism;
Values and Beliefs;
Identity;
Groups and Teams;
Emotions;
Civil Society or Community
Goldenberg, Amit, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin, and James J. Gross. "Homophily and Acrophily as Drivers of Political Segregation." Nature Human Behaviour 7, no. 2 (February 2023): 219–230.
- 2023
- Working Paper
The Benefits of Revealing Race: Evidence from Minority-owned Local Businesses
By: Abhay Aneja, Michael Luca and Oren Reshef
Is there latent demand to support Black-owned businesses? To explore, we analyze a new feature
that made it easier to identify Black-owned restaurants on a large online platform. We find that
labeling restaurants as “Black-owned” increased customer engagement and...
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Keywords:
Black-owned Businesses;
Race;
Prejudice and Bias;
Ownership;
Knowledge Dissemination;
Digital Platforms;
Consumer Behavior;
Food and Beverage Industry
Aneja, Abhay, Michael Luca, and Oren Reshef. "The Benefits of Revealing Race: Evidence from Minority-owned Local Businesses." Harvard Business School Working Paper, No. 23-042, January 2023. (Revised September 2023.)
- 2023
- Working Paper
'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins
By: Stephanie C. Lin, Julian J. Zlatev and Dale T. Miller
We identify and document an “overdetermined outcome defense” which occurs when one learns
that circumstances besides one’s own actions were sufficient to produce a negative effect (e.g.,
deciding not to go to the gym, but later discovering that the gym had been...
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Lin, Stephanie C., Julian J. Zlatev, and Dale T. Miller. "'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins." Harvard Business School Working Paper, No. 23-045, January 2023.
- December 2022
- Article
Fostering Perceptions of Authenticity via Sensitive Self-Disclosure
By: Li Jiang, Leslie K. John, Reihane Boghrati and Maryam Kouchaki
Leaders’ perceived authenticity—the sense that leaders are acting in accordance with their “true self”—is associated with positive outcomes for both employees and organizations alike. How might leaders foster this impression? We show that sensitive self-disclosure, in...
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Keywords:
Authenticity;
Weaknesses;
Self-disclosure;
Leaders;
Impression Management;
Leadership Style;
Motivation and Incentives
Jiang, Li, Leslie K. John, Reihane Boghrati, and Maryam Kouchaki. "Fostering Perceptions of Authenticity via Sensitive Self-Disclosure." Journal of Experimental Psychology: Applied 28, no. 4 (December 2022): 898–915.
- 2021
- Working Paper
The Contribution of High-Skilled Immigrants to Innovation in the United States
By: Shai Bernstein, Rebecca Diamond, Abhisit Jiranaphawiboon, Timothy McQuade and Beatriz Pousada
We characterize the contribution of immigrants to US innovation, both through their direct productivity as well as through their indirect spillover effects on their native collaborators. To do so, we link patent records to a database containing the first five digits of...
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Keywords:
Innovation;
Economic Growth;
Immigrants;
Innovation and Invention;
Collaborative Innovation and Invention;
Patents;
Innovation Strategy
Bernstein, Shai, Rebecca Diamond, Abhisit Jiranaphawiboon, Timothy McQuade, and Beatriz Pousada. "The Contribution of High-Skilled Immigrants to Innovation in the United States." Harvard Business School Working Paper, No. 22-065, December 2021. (NBER Working Paper Series, No. 30797, December 2022.)
- December 2022
- Article
The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance
This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to...
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Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
- 2023
- Working Paper
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Harvard Business School Working Paper, No. 23-023, October 2022. (Revised April 2023.)