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All HBS Web
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- Faculty Publications (117)
- 2021
- Working Paper
Population Interference in Panel Experiments
By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...
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Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
- March 2021
- Article
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on...
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Keywords:
Personal Data;
Privacy Regulation;
GDPR;
Interconnection Agreements;
Internet and the Web;
Governing Rules, Regulations, and Reforms
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." Telecommunications Policy 45, no. 2 (March 2021).
- 2021
- Article
Consumer Disclosure
By: Tami Kim, Kate Barasz and Leslie John
As technological advances enable consumers to share more information in unprecedented ways, today’s disclosure takes on a variety of new forms, triggering a paradigm shift in what “disclosure” entails. This review introduces two factors to conceptualize consumer...
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Keywords:
Disclosure;
Passive Disclosure;
Information;
Internet and the Web;
Consumer Behavior;
Situation or Environment
Kim, Tami, Kate Barasz, and Leslie John. "Consumer Disclosure." Consumer Psychology Review 4 (2021): 59–69.
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints...
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Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 2020
- Working Paper
Fresh Fruit and Vegetable Consumption: The Impact of Access and Value
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited...
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Keywords:
Food Deserts;
Food Access;
Food Policy;
Causal Inference;
Food;
Nutrition;
Poverty;
Government Administration
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020.
- 2020
- Working Paper
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." Harvard Business School Working Paper, No. 21-034, September 2020.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments....
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Keywords:
Causal Inference;
Observational Studies;
Cross-sectional Studies;
Panel Studies;
Interrupted Time-series;
Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- June 2020
- Article
In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors
By: M. Jeong, J. Minson and F. Gino
Negotiation scholarship espouses the importance of opening a bargaining situation with an aggressive offer, given the power of first offers to shape concessionary behavior and outcomes. In our research, we identify a surprising consequence to this common prescription....
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Keywords:
Attribution;
Interpersonal Interaction;
Judgment;
Social Interaction;
Inference;
Open Data;
Open Materials;
Preregistered;
Negotiation Offer;
Strategy;
Behavior;
Interpersonal Communication;
Trust;
Outcome or Result
Jeong, M., J. Minson, and F. Gino. "In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors." Psychological Science 31, no. 6 (June 2020): 644–653.
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging...
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Keywords:
Machine Learning;
Causal Inference;
Health Care and Treatment;
Safety;
Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- November 2019
- Article
Procedural Justice and the Risks of Consumer Voting
By: Tami Kim, Leslie John, Todd Rogers and Michael I. Norton
Firms are increasingly giving consumers the vote. Eight studies demonstrate that when firms empower consumers to vote, consumers infer a series of implicit promises—even in the absence of explicit promises. We identify three implicit promises to which consumers react...
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Keywords:
Consumer Empowerment;
Procedural Justice;
Promises;
Customer Relationship Management;
Voting;
Perception;
Fairness;
Risk Management
Kim, Tami, Leslie John, Todd Rogers, and Michael I. Norton. "Procedural Justice and the Risks of Consumer Voting." Management Science 65, no. 11 (November 2019): 5234–5251.
- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on...
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Keywords:
Personal Data;
Privacy Regulation;
GDPR;
Interconnection Agreements;
Internet and the Web;
Governing Rules, Regulations, and Reforms;
European Union
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
- Article
Reverse the Curse of the Top-5
By: Robert S. Kaplan
The past 40 years has seen a large increase in the number of articles submitted to journals ranked in the top-5 of their discipline. This increase is the rational response, by faculty, to the overweighting of publications in these journals by university promotions and...
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Kaplan, Robert S. "Reverse the Curse of the Top-5." Accounting Horizons 33, no. 2 (June 2019): 17–24.
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD...
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Keywords:
Customer Journey;
Privacy;
Consumer Behavior;
Analytics and Data Science;
AI and Machine Learning;
Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Customer Value and Value Chain;
Consumer Behavior;
Analytics and Data Science;
Mathematical Methods;
Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- Article
Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness
By: Tami Kim, Kate Barasz and Leslie K. John
Given the increasingly specific ways marketers can target ads, many consumers and regulators are demanding ad transparency: disclosure of how consumers’ personal information was used to generate ads. We investigate how and why ad transparency impacts ad effectiveness....
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Keywords:
Digital Marketing;
Customization and Personalization;
Information;
Trust;
Performance Effectiveness
Kim, Tami, Kate Barasz, and Leslie K. John. "Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness." Journal of Consumer Research 45, no. 5 (February 2019): 906–932.
- 2019
- Article
Structural Balance Emerges and Explains Performance in Risky Decision-Making
By: Omid Askarisichani, Jacqueline N. Lane, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh and Brian Uzzi
Polarization affects many forms of social organization. A key issue focuses on which affective relationships are prone to change and how their change relates to performance. In this study,
we analyze a financial institutional over a two-year period that employed 66...
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Keywords:
Polarization;
Structural Balance;
Performance;
Groups and Teams;
Risk and Uncertainty;
Decision Making
Askarisichani, Omid, Jacqueline N. Lane, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh, and Brian Uzzi. "Structural Balance Emerges and Explains Performance in Risky Decision-Making." Art. 2648. Nature Communications 10 (2019): 1–10.
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable...
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Keywords:
Moral Judgment;
Lay Decision Theory;
Theory Of Mind;
Causal Attribution;
Moral Sensibility;
Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- 2018
- Working Paper
Reverse the Curse of the Top-5
By: Robert S. Kaplan
The past 40 years has seen a large increase in the number of articles submitted to journals ranked in the top-5 of their discipline. This increase is the rational response, by faculty, to the overweighting of publications in these journals by university promotions and...
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Kaplan, Robert S. "Reverse the Curse of the Top-5." Harvard Business School Working Paper, No. 19-052, October 2018.
- March 2018
- Case
TrustSphere: Building a Market for Relationship Analytics
By: Boris Groysberg and Katherine Connolly Baden
Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people...
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Keywords:
Data Analytics;
People Analytics;
Talent Management;
Human Resources;
Networks;
Relationships;
Analysis;
Employee Relationship Management;
Core Relationships;
Applications and Software;
Communication;
Technology Industry;
Singapore
Groysberg, Boris, and Katherine Connolly Baden. "TrustSphere: Building a Market for Relationship Analytics." Harvard Business School Case 418-070, March 2018.
- 2018
- Working Paper
Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors
By: Jeremy Yip, Kelly Kiyeon Lee, Cindy Chan and Alison Wood Brooks
Previous research has revealed that expressing gratitude motivates prosocial behavior in cooperative relationships. However, expressing gratitude in competitive interactions may operate differently. Across five studies, we demonstrate that individuals interacting with...
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Yip, Jeremy, Kelly Kiyeon Lee, Cindy Chan, and Alison Wood Brooks. "Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors." Harvard Business School Working Paper, No. 18-081, February 2018.