Publications
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- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Frabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous
interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of
tasks. In our study conducted with Boston Consulting Group, a global management
consulting firm, we...
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- September 2023
- Article
The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation
By: Jean-François Harvey, Johnathan R. Cromwell, Kevin J. Johnson and Amy C. Edmondson
Innovation teams must navigate inherent tensions between different learning activities to produce high levels of performance. Yet, we know little about how teams combine these activities—notably reflexive, experimental, vicarious, and contextual learning—most...
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- August 2023
- Case
Stay or Go? Sarah Reynolds at Kensington Partners
By: David G. Fubini, Amr Seifeldin and Patrick Sanguineti
Sarah Reynolds, a Partner at the global Kensington Partners strategy consulting firm, has headed the firm's Telecommunications Group for a few years. Thanks to her stellar track record with clients, she has brought the group, and herself, a range of accolades and...
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- 2023
- Working Paper
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
This study investigates the capability of generative artificial intelligence (AI) in creating innovative business solutions compared to human crowdsourcing methods. We initiated a crowdsourcing challenge focused on sustainable, circular economy business opportunities....
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- August 2023
- Article
Can Security Design Foster Household Risk-Taking?
By: Laurent Calvet, Claire Célérier, Paolo Sodini and Boris Vallée
This paper shows that securities with a non-linear payoff design can foster household risk-taking. We demonstrate this effect empirically by exploiting the introduction of capital guarantee products in Sweden from 2002 to 2007. The fast and broad adoption of these...
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- 2023
- Other Unpublished Work
If 3 Was 9
One determinant of where economies and markets are headed is how well we handle the climate crisis. Headlines on the climate tend to emphasize two points. First, average global temps are rising, with it being the hottest summer in 1,000 centuries per some estimates....
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- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,...
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- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions...
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- July 2023
- Teaching Note
Belden and Digital Transformation: From Product Sales to Solutions Sales
Teaching Note for HBS Case No. 823-002. Belden manufactures devices such as switches, cables, adapters, and connectors. Faced with market changes, the firm initiated a new Enhanced Solutions Delivery (ESD) initiative. In November 2022 executives are evaluating the...
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- 2023
- Working Paper
Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections
By: Rafael Di Tella, Randy Kotti, Caroline Le Pennec and Vincent Pons
A key tenet of representative democracy is that politicians' discourse and policies should follow voters' preferences. In the median voter theorem, this outcome emerges as candidates strategically adjust their platform to get closer to their opponent. Despite its...
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- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still...
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- June 30, 2023
- Article
How to Save a Stumbling Startup
By: Ranjay Gulati
- 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...
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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...
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- June 2023
- Case
Chipmaking in the Desert: Taiwan Semiconductor Manufacturing Company’s Global Expansion
By: William C. Kirby and Noah B. Truwit
On December 6, 2022, in Phoenix, Arizona, Taiwan Semiconductor Manufacturing Company (TSMC) Executive Chairman Mark Liu outlined the company’s ambitious plans to invest $40 billion to build semiconductor manufacturing plants in Phoenix. The event also celebrated the...
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- May 2023
- Teaching Note
Tesla’s Uncertain Fate as EV Race Accelerates
By: David Collis
Teaching Note for HBS Case No. 722-368. The case describes the strategic position of Tesla in 2021. While the firm has been successful in driving adoption of electric vehicles (EVs) globally and has a huge market share in the segment, it faces an impending tsunami of...
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- May 2023
- Teaching Note
Away: Scaling a DTC Travel Brand
By: Joseph B. Fuller and Jill Avery
Teaching Note for HBS Case No. 520-051. Away, a direct-to-consumer, digital native e-commerce seller of travel luggage, is debating how to invest its latest round of venture funding. How quickly could and should Away scale and what were the most promising growth...
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- May 2023 (Revised May 2023)
- Case
Stay or Go? Sarah Reynolds Kensington Partners
By: David G. Fubini, Amr Seifeldin and Patrick Sanguineti
Sarah Reynolds, a relatively new Partner at the global Kensington Partners strategy consulting firm, has headed the firm's Telecommunications Group for a few years. Thanks to her stellar track record with clients, she has brought the group a range of accolades and...
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- May 2023
- Article
Incentive Effects of Subjective Allocations of Rewards and Penalties
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings...
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- 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...
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