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- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the...
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to...
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available...
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Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- March 2024
- Module Note
Module Note on the Structuring of Collaborative Work
By: Ethan Bernstein
This module note for instructors describes the organizational structure module of the Managing Human Capital course that integrates insights from research on workplace connectivity (who gets to communicate with whom) and workplace transparency (who gets to observe...
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Bernstein, Ethan. "Module Note on the Structuring of Collaborative Work." Harvard Business School Module Note 424-054, March 2024.
- 2021
- Working Paper
Quantifying the Value of Iterative Experimentation
By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was...
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Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a...
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Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- October 2023 (Revised February 2024)
- Case
Governance and Growth at GenUnity
By: Brian Trelstad, Paul Healy and Annelena Lobb
Jerren Chang, CEO and co-founder of GenUnity, had to choose a strategy to scale his civic engagement-focused nonprofit. Based in Boston, Chang could grow the organization there or begin to expand to other cities. He also had to select candidates for a board of...
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- 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...
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Keywords:
Performance Evaluation;
Research and Development;
Analytics and Data Science;
Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- March 2023
- Case
Moderna
By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen and Dave Habeeb
This multimedia case follows the story of Moderna and its entry into vaccine development in the wake of the COVID-19 pandemic. In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19....
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- October 2022
- Article
Amplification in the Evaluation of Multiple Emotional Expressions over Time
By: Amit Goldenberg, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki and James J. Gross
Social interactions are dynamic and unfold over time. To make sense of social interactions, people must aggregate sequential information into summary, global evaluations. But how do people do this? Here, to address this question, we conducted nine studies (N = 1,583)...
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Goldenberg, Amit, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki, and James J. Gross. "Amplification in the Evaluation of Multiple Emotional Expressions over Time." Nature Human Behaviour 6, no. 10 (October 2022): 1408–1416.
- September 6, 2022
- Article
Creating a Platform for Costless Personalization in Clothing
By: Shane Greenstein
This study analyzes the role of co-invention in the creation of a platform for print-on-demand-clothing, or PODC. Co-invention is the invention of a new business process to complement new technology, and turn it into a valuable commercial service. PODC copies a design...
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Keywords:
Print-on-demand-clothing;
Customization and Personalization;
Digital Platforms;
Apparel and Accessories Industry
Greenstein, Shane. "Creating a Platform for Costless Personalization in Clothing." Frontiers in Research Metrics and Analytics (September 6, 2022).
- July 2022
- Article
When Alterations Are Violations: Moral Outrage and Punishment in Response to (Even Minor) Alterations to Rituals
By: Daniel H. Stein, Juliana Schroeder, Nicholas M. Hobson, Francesca Gino and Michael I. Norton
From Catholics performing the sign of the cross since the 4th century to Americans reciting the Pledge of Allegiance since the 1890s, group rituals (i.e., predefined sequences of symbolic actions) have strikingly consistent features over time. Seven studies (N = 4,213)...
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Keywords:
Ritual;
Morality;
Groups;
Norms;
Commitment;
Groups and Teams;
Values and Beliefs;
Change;
Moral Sensibility;
Behavior
Stein, Daniel H., Juliana Schroeder, Nicholas M. Hobson, Francesca Gino, and Michael I. Norton. "When Alterations Are Violations: Moral Outrage and Punishment in Response to (Even Minor) Alterations to Rituals." Journal of Personality and Social Psychology 123, no. 1 (July 2022): 123–153.
- March 2022
- Module Note
Navigating Nascent Industries and Product Categories
By: Rory McDonald
This Note introduces a module of cases used at Harvard Business School to teach fundamental concepts about navigating nascent industries and product categories. It elaborates a set of ‘innovation tensions’ that managers must address in these domains. In connecting the...
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McDonald, Rory. "Navigating Nascent Industries and Product Categories." Harvard Business School Module Note 622-097, March 2022.
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- October 26, 2021
- Article
Value Chain Management to Implement Post-COVID-19 Health Care Strategy: The COVID-19 Crisis Has Created Areas of Innovation That Should Be Embraced by Health Care Leaders
By: Michael E. Porter, Junaid Nabi and Thomas H. Lee
Health care organizations must learn from what has worked during the COVID-19 crisis. Leaders have found that while they cannot do everything, they must define and manage the sequence of activities required to deliver high-value care.
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Keywords:
COVID-19 Pandemic;
Value-based Health Care;
Value Chain;
Health Pandemics;
Health Care and Treatment;
Management;
Strategy
Porter, Michael E., Junaid Nabi, and Thomas H. Lee. "Value Chain Management to Implement Post-COVID-19 Health Care Strategy: The COVID-19 Crisis Has Created Areas of Innovation That Should Be Embraced by Health Care Leaders." DOI: 10.1056/CAT.21.0302. NEJM Catalyst (October 26, 2021).
- 2021
- Article
How Top Managers Use the Entrepreneurial Gap to Drive Strategic Change
By: Robert L. Simons and Antonio Davila
Prior research provides strong evidence for the association between business strategy and the design and use of management control systems. We complement this research by examining the role of management control systems in situations of strategic change. We report the...
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Keywords:
Management Control Systems;
Accountability;
Strategic Change;
Organization Change And Adaptation;
Organizational Performance;
Management Systems;
Organizational Structure;
Corporate Accountability;
Organizational Change and Adaptation;
Performance
Simons, Robert L., and Antonio Davila. "How Top Managers Use the Entrepreneurial Gap to Drive Strategic Change." European Accounting Review 30, no. 4 (2021): 583–609.
- August 2021
- Case
Orchadio’s First Two Split Experiments
By: Iavor I. Bojinov, Marco Iansiti and David Lane
Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on...
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Keywords:
Information Management;
Technological Innovation;
Knowledge Use and Leverage;
Resource Allocation;
Marketing;
Measurement and Metrics;
Customization and Personalization;
Information Technology;
Internet and the Web;
Digital Platforms;
Information Technology Industry;
Food and Beverage Industry
Bojinov, Iavor I., Marco Iansiti, and David Lane. "Orchadio’s First Two Split Experiments." Harvard Business School Case 622-015, August 2021.
- August 2021
- Case
Yummy: Delivering Value to Venezuela
By: Ayelet Israeli, Jenyfeer Martinez Buitrago and Carla Larangeira
By June 2021, Yummy had become Venezuela’s first and largest food delivery app and last-mile logistics company. In Caracas, the nation’s capital, Yummy held a 55% market share, while operations in other cities had already started to take place, including in three of...
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Keywords:
Internet and the Web;
Health Pandemics;
Business Startups;
Growth and Development Strategy;
Expansion
Israeli, Ayelet, Jenyfeer Martinez Buitrago, and Carla Larangeira. "Yummy: Delivering Value to Venezuela." Harvard Business School Case 522-034, August 2021.
- June 2021
- Case
uBiome
By: Thomas R. Eisenmann and Olivia Graham
uBiome provided clinical tests that sequenced the DNA of human microbiome samples, providing data on health conditions directly to consumers or to prescribing physicians. Founded in 2012, the San Francisco-based startup raised $105 million from top-tier venture capital...
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- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.