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- March 2022
- Module Note
A Behavioral Science Perspective on Motivation and Incentives
By: John Beshears and Ashley Whillans
This module note for instructors describes a module that integrates insights from the behavioral science of motivation into the economic analysis of incentive systems. View Details
Keywords: Motivation; Incentives; Behavioral Science; Behavioral Economics; Motivation and Incentives; Economics; Analysis; Human Resources
Beshears, John, and Ashley Whillans. "A Behavioral Science Perspective on Motivation and Incentives." Harvard Business School Module Note 922-033, March 2022.
- 2022
- White Paper
Census II of Free and Open Source Software - Application Libraries
By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details
Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. "Census II of Free and Open Source Software - Application Libraries." White Paper, Linux Foundation and Laboratory for Innovation Science at Harvard, March 2022.
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- 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... View Details
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.
- February 18, 2022
- Article
Transparency as a Solution for COVID-19 Related Hospital Capacity Issues
By: Regina E. Herzlinger and Richard Boxer
In the initial phases of the COVID-19 pandemic, many U.S. hospitals could not provide an adequate supply of beds to meet demand. Solving the problem of hospital bed capacity is of great importance in the “new normal,” which requires recognizing that SARS-CoV-2 is but... View Details
Keywords: COVID; COVID-19 Pandemic; Health Care; Health Care Demand; Health Care Delivery; Health Care Industry; Health Care Operations; Health Care Policy; Transparency; Hospital; Hospital Management; Hospitals; Health Pandemics; Health Care and Treatment; Service Delivery; Operations; Performance Capacity; Policy; Health Industry
Herzlinger, Regina E., and Richard Boxer. "Transparency as a Solution for COVID-19 Related Hospital Capacity Issues." Health Affairs Forefront (February 18, 2022).
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2022
- Working Paper
E-commerce During COVID: Stylized Facts from 47 Economies
By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo
We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased... View Details
Keywords: COVID-19 Pandemic; Health Pandemics; Spending; Internet and the Web; Global Range; Analysis; E-commerce
Alcedo, Joel, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra, and Antonio Spilimbergo. "E-commerce During COVID: Stylized Facts from 47 Economies." NBER Working Paper Series, No. 29729, February 2022.
- February 2022 (Revised November 2022)
- Case
Nuritas
By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company... View Details
Keywords: Cash Burn; Cash Flow Analysis; Pharmaceutical Companies; Founder; Artificial Intelligence; AI; Entrepreneurship; Health Testing and Trials; Health Care and Treatment; Decision Making; Market Entry and Exit; AI and Machine Learning; Pharmaceutical Industry
Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
- February 2022
- Article
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax... View Details
Keywords: Innovation; Income Taxes; Corporate Taxation; Firms; Inventors; State Taxation; Business Taxation; R&D Tax Credits; Taxation; Innovation and Invention; History; United States
Akcigit, Ufuk, John Grigsby, Tom Nicholas, and Stefanie Stantcheva. "Taxation and Innovation in the 20th Century." Quarterly Journal of Economics 137, no. 1 (February 2022): 329–385.
- January 2022 (Revised March 2022)
- Module Note
Analysis of Financial and Non-Financial Information for Forecasting Performance
This note describes the main themes and cases of a teaching module on the analysis of information from, and outside of, financial statements for forecasting firms’ future financial performance. The module’s pedagogical goal is to deepen students’ understanding of the... View Details
Wang, Charles C.Y. "Analysis of Financial and Non-Financial Information for Forecasting Performance." Harvard Business School Module Note 122-071, January 2022. (Revised March 2022.)
- January 10, 2022
- Article
The Link Between Income, Income Inequality, and Prosocial Behavior Around the World: A Multiverse Approach
By: Lucia Macchia and Ashley V. Whillans
The questions of whether high-income individuals are more prosocial than low-income individuals and whether income inequality moderates this effect have received extensive attention. We shed new light on this topic by analyzing a large-scale dataset with a... View Details
Keywords: Prosocial Behavior; Income Inequality; Behavior; Philanthropy and Charitable Giving; Income
Macchia, Lucia, and Ashley V. Whillans. "The Link Between Income, Income Inequality, and Prosocial Behavior Around the World: A Multiverse Approach." Social Psychology (January 10, 2022): 375–386.
- January 2022
- Technical Note
Ethical Analysis: Well-Being and Rights
By: Nien-hê Hsieh and Christopher Diak
This note introduces students to two central concepts for ethical analysis: well-being and rights. It illustrates ways in which they figure in managerial decisions and challenges that arise, including how to frame trade-offs across individual well-being and... View Details
Hsieh, Nien-hê, and Christopher Diak. "Ethical Analysis: Well-Being and Rights." Harvard Business School Technical Note 322-065, January 2022.
- January 2022
- Teaching Plan
Just Arrived: Integrating Refugees in Sweden
By: Brian Trelstad and Emilie Billaud
Teaching Plan for HBS Case No. 321-040. Just Arrived is an online platform that matches newly-arrived immigrants in Sweden with employment opportunities. As one of several for-profit and non-profit start-ups in Europe that is looking to address the refugee crisis, the... View Details
- January 2022 (Revised March 2022)
- Teaching Note
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Albert Shin
Teaching Note for HBS Case No. 118-068. View Details
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- 2021
- Chapter
Business Continuity Insurance in the Next Disaster
By: Samuel Gregory Hanson, Adi Sunderam and Eric Zwick
This article draws lessons from the business support policies pursued in the COVID-19
pandemic to guide policy design for the next disaster. We contrast the performance
of the Paycheck Protection Program to the Main Street Lending Program to illustrate
how design... View Details
Keywords: COVID-19 Pandemic; Policy; Economic Slowdown and Stagnation; Financing and Loans; United States
Hanson, Samuel Gregory, Adi Sunderam, and Eric Zwick. "Business Continuity Insurance in the Next Disaster." In Rebuilding the Post-Pandemic Economy, edited by Melissa S. Kearney and Amy Ganz, 52–77. Washington, DC: Aspen Institute, 2021.
- December 2021
- Article
Employee Responses to Compensation Changes: Evidence from a Sales Firm
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
What are the long-term consequences of compensation changes? Using data from an inbound sales call center, we study employee responses to a compensation change that ultimately reduced take-home pay by 7% for the average affected worker. The change caused a significant... View Details
Keywords: Employees; Wages; Compensation and Benefits; Change; Performance; Resignation and Termination; Retention; Analysis
Sandvik, Jason, Richard Saouma, Nathan Seegert, and Christopher Stanton. "Employee Responses to Compensation Changes: Evidence from a Sales Firm." Management Science 67, no. 12 (December 2021): 7687–7707.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the... View Details
Keywords: Mobile Internet Usage; Pricing Strategy; Internet and the Web; Mobile and Wireless Technology; Demographics; Income; Price; Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- December 2021
- Article
The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components... View Details
Keywords: Breakthrough Innovation; Exploration And Exploitation; Search Strategy; Innovation and Invention; Technological Innovation; Strategy
Randle, Dominika Kinga, and Gary P. Pisano. "The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies." Strategy Science 6, no. 4 (December 2021): 290–304.