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All HBS Web
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- Faculty Publications (302)
- 2022
- Working Paper
Stories, Statistics and Memory
By: Thomas Graeber, Christopher Roth and Florian Zimmermann
For most decisions, we rely on information encountered over the course of days,
months or years. We consume this information in various forms, including abstract
summaries of multiple data points – statistics – and contextualized anecdotes about
individual instances...
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Graeber, Thomas, Christopher Roth, and Florian Zimmermann. "Stories, Statistics and Memory." Working Paper, December 2022.
- 2024
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information
which an algorithm does not have access to that can improve performance. How can we help humans effectively use
and adjust recommendations made by...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, February 2024.
- November 2022
- Teaching Note
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern, Alpana Thapar and Menna Hassan
Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),...
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- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- November 2022
- Article
Impacts of Micromobility on Car Displacement with Evidence from a Natural Experiment and Geofencing Policy
By: Omar Isaac Asensio, Camila Apablaza, M. Cade Lawson, Edward W Chen and Savannah J Horner
Micromobility, such as electric scooters and electric bikes—an estimated US$300 billion global market by 2030—will accelerate electrification efforts and fundamentally change urban mobility patterns. However, the impacts of micromobility adoption on traffic congestion...
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Asensio, Omar Isaac, Camila Apablaza, M. Cade Lawson, Edward W Chen, and Savannah J Horner. "Impacts of Micromobility on Car Displacement with Evidence from a Natural Experiment and Geofencing Policy." Nature Energy 7, no. 11 (November 2022): 1100–1108.
- September 2022
- Article
Energy Innovation Funding and Institutions in Major Economies
By: Jonas Meckling, Clara Galeazzi, Esther Shears, Tong Xu and Laura Diaz Anadon
Accelerating energy innovation for decarbonization hinges on public investment in research, development and demonstration (RD&D). Here we examine the evolution and variation of public energy RD&D funding and institutions and associated drivers across eight major...
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Keywords:
Research and Development;
Innovation and Invention;
Energy Policy;
Government Legislation;
Energy Sources
Meckling, Jonas, Clara Galeazzi, Esther Shears, Tong Xu, and Laura Diaz Anadon. "Energy Innovation Funding and Institutions in Major Economies." Nature Energy 7, no. 9 (September 2022): 876–885.
- August 2022 (Revised March 2023)
- Case
Pricing at Netflix: The Sequel
By: Elie Ofek and Amy Klopfenstein
This case continues the themes discussed in "Pricing at Netflix" (Case 521-004). Following the conclusion of the original case, Netflix developed new, high-profile original content, added millions of subscribers, and introduced another price increase in January 2022....
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Keywords:
Marketing;
Advertising;
Marketing Strategy;
Entertainment;
Film Entertainment;
Television Entertainment;
Finance;
Strategy;
Competition;
Competitive Strategy;
Business Strategy;
Adaptation;
Internet and the Web;
Customers;
Customer Satisfaction;
Entertainment and Recreation Industry;
Advertising Industry;
North and Central America;
United States
Ofek, Elie, and Amy Klopfenstein. "Pricing at Netflix: The Sequel." Harvard Business School Case 523-015, August 2022. (Revised March 2023.)
- 2023
- Working Paper
Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb
By: Michael Luca, Elizaveta Pronkina and Michelangelo Rossi
We present evidence that discrimination against Asian-American Airbnb users sharply increased at the
start of the COVID-19 pandemic. Using a DiD approach, we find that hosts with distinctively Asian
names experienced a 20 percent decline in guests relative to hosts...
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Keywords:
Discrimination;
Behavioral Economics;
Market Design;
Health Pandemics;
Prejudice and Bias;
Digital Platforms;
Design
Luca, Michael, Elizaveta Pronkina, and Michelangelo Rossi. "Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb." Harvard Business School Working Paper, No. 23-012, August 2022. (Revised March 2023.)
- Article
All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity
By: Natalia Garbiras-Díaz and Mateo Montenegro
Can information and communication technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage...
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Keywords:
Social Influence;
Electoral Behavior;
Election Outcomes;
Economics;
Economy;
Governance;
Government and Politics;
Social Media;
Social Marketing;
Society;
Political Elections;
Advertising
Garbiras-Díaz, Natalia, and Mateo Montenegro. "All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity." American Economic Review 112, no. 8 (August 2022): 2631–2668.
- August, 2022
- Article
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of...
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Keywords:
In-group-out-group Relations;
Ingroup-outgroup Relations;
Immigration;
Race;
Relationships;
United States
Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States." American Political Science Review 116, no. 3 (August, 2022): 968–984. (Featured in the Boston Globe, Washington Post, and HBS Working Knowledge.)
- June 2022 (Revised July 2022)
- Technical Note
Causal Inference
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of...
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Keywords:
Causal Inference;
Causality;
Experiment;
Experimental Design;
Data Science;
Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised July 2022.)
- Article
Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses
By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a...
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Keywords:
In-vehicle User Interfaces;
Time-use Study;
Automated Vehicles;
Knowledge Workers;
Commuting
Teodorovicz, Thomaz, Andrew L. Kun, Raffaella Sadun, and Orit Shaer. "Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses." International Journal of Human-Computer Studies 162 (June 2022).
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...
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Keywords:
Evaluations;
Novelty;
Feasibility;
Field Experiment;
Resource Allocation;
Technological Innovation;
Competitive Advantage;
Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- Article
Why Build in Web3
By: Jad Esber and Scott Duke Kominers
A major change is coming to the internet. While today’s dominant platforms have guarded their troves of user data and maintained an advantage through network effects, new companies—working in what they're calling a “Web3” model—are proposing a new value proposition to...
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Keywords:
Blockchain;
User Experience;
Digital Platforms;
Network Effects;
Internet and the Web;
Competition;
Web Services Industry
Esber, Jad, and Scott Duke Kominers. "Why Build in Web3." Harvard Business Review Digital Articles (May 16, 2022).
- April 2022 (Revised July 2022)
- Case
Stalin’s Capitalists: American Business and Soviet Industrialization
By: Jeremy Friedman, Jingyu Liu and Christine Riggle
In the late 1920s and early 1930s when Joseph Stalin, leader of the world’s first Communist state, sought to industrialize his largely peasant country on an unprecedented scale, he turned for help to those who had the most experience constructing on such a scale:...
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Keywords:
Communism;
Industrialization;
Socialism;
History;
Industry Growth;
Economic Systems;
Soviet Union
Friedman, Jeremy, Jingyu Liu, and Christine Riggle. "Stalin’s Capitalists: American Business and Soviet Industrialization." Harvard Business School Case 722-058, April 2022. (Revised July 2022.)
- April 2022
- Article
Consumers Value Effort over Ease When Caring for Close Others
By: Ximena Garcia-Rada, Mary Steffel, Elanor F. Williams and Michael I. Norton
Many products and services are designed to make caregiving easier, from premade meals for feeding families to robo-cribs that automatically rock babies to sleep. Yet, using these products may come with a cost: consumers may feel they have not exerted enough effort....
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Keywords:
Effor;
Caregiving;
Close Relationships;
Symbolic Meaning;
Signaling;
Relationships;
Consumer Behavior;
Perception
Garcia-Rada, Ximena, Mary Steffel, Elanor F. Williams, and Michael I. Norton. "Consumers Value Effort over Ease When Caring for Close Others." Journal of Consumer Research 48, no. 6 (April 2022): 970–990.
- March 2022
- Case
Skills-First Hiring at IBM
By: Boris Groysberg and Sarah Mehta
This case reviews IBM’s efforts to widen its hiring funnel and broaden its talent pool.
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Keywords:
Competency and Skills;
Experience and Expertise;
Talent and Talent Management;
Human Resources;
Employees;
Recruitment;
Retention;
Selection and Staffing;
Jobs and Positions;
Job Design and Levels;
Job Interviews;
Society;
Social Issues;
Technology Industry;
United States;
New York (city, NY)
Groysberg, Boris, and Sarah Mehta. "Skills-First Hiring at IBM." Harvard Business School Case 422-013, March 2022.
- 2022
- Article
Social Interactivity in Live Video Experiences Reduces Loneliness
By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video...
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Keywords:
Lonelines;
Social Connection;
Internet-mediated Communication;
Experiment;
Emotions;
Well-being;
Interpersonal Communication;
Internet
Kaveladze, Benjamin T., Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren, and Melissa C. Thomas-Hunt. "Social Interactivity in Live Video Experiences Reduces Loneliness." Frontiers in Digital Health 4:859849 (2022).
- 2022
- Working Paper
Can a Website Bring Unemployment Down? Experimental Evidence from France
By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was...
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Keywords:
Online Platform;
Digital Platform;
Unemployment;
Encouragement Design;
Job Search;
Jobs and Positions;
Internet and the Web;
Well-being;
Outcome or Result;
Digital Platforms;
France
Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such...
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Keywords:
Agent-based Modeling;
Sensitivity Analysis;
Design Of Experiments;
Total Order Sensitivity Indices;
Organizations;
Behavior;
Decision Making;
Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.