Publications
Publications
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- All HBS Web
(3,282)
- Faculty Publications (811)
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- June 2023
- Article
Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening
By: Francis J Flynn, Hanne Collins and Julian Zlatev
Extraverts are often characterized as highly social individuals who are highly invested in their interpersonal interactions. We propose that extraverts' interaction partners hold a different view-that extraverts are highly social, but not highly invested. Across six... View Details
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
- June 2023
- Article
Can Purpose Foster Stakeholder Trust in Corporations
By: Ranjay Gulati and Franz Wohlgezogen
As part of institutional changes toward more responsible capitalism, firms increasingly articulate a purpose beyond simply profit as a central tenet of their governance. Management scholarship has noted the potential advantages of such purpose-focus for stakeholder... View Details
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
- April 2023
- Article
The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences
By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
- April 2023
- Article
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
- March 2023
- Case
Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (A)
By: Linda A. Hill and Emily Tedards
In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
- March 2023
- Supplement
Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (B)
By: Linda A. Hill and Emily Tedards
In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
- 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... View Details
- 2023
- Working Paper
Change We Can’t Believe In: Distrust of Political Converts
By: Julian J. Zlatev, Amos Schurr and Nir Halevy
We propose and test three hypotheses regarding how people respond to political converts— individuals who switch their voting from one political party to another. Across two experiments, using behavioral and attitudinal measures of trust in two different countries, we... View Details
- February 2023 (Revised March 2025)
- Case
Graphic Packaging: Project Cowboy (A)
By: Benjamin C. Esty and E. Scott Mayfield
In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details
- February 2023
- Supplement
Graphic Packaging: Project Cowboy (A) Courseware
By: Benjamin C. Esty and Scott Mayfield
In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
- Working Paper
Group Fairness in Dynamic Refugee Assignment
By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic
location within a host country to which the refugee or asylum seeker is... View Details
- 2023
- Book
Workplace Conditions
By: Jill Maben, Jane Ball and Amy C. Edmondson
This Element reviews the evidence for three workplace conditions that matter for improving quality and safety in healthcare: staffing; psychological safety, teamwork, and speaking up; and staff health and well-being at work. The authors propose that these are... View Details
- 2023
- Working Paper
The Link Between Integrative Bargaining and Leadership Evaluations
By: Julian J. Zlatev and Francis J. Flynn
We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link
between negotiation style and leadership evaluations. Specifically, we propose that individuals who are
more skilled at integrative, but not distributive,... View Details