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- Faculty Publications (324)
- 2023
- Working Paper
Spatial Mobility, Economic Opportunity, and Crime
By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
Keywords: Urban Development; Transportation Networks; Crime and Corruption; Transportation Industry; Medellín; Colombia; South America
Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo, and Audrey Tiew. "Spatial Mobility, Economic Opportunity, and Crime." Harvard Business School Working Paper, No. 24-016, September 2023. (R&R American Economic Review.)
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- 2023
- Working Paper
Channeled Attention and Stable Errors
By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
We develop a framework for assessing when somebody will eventually notice that she has
a misspecified model of the world, premised on the idea that she neglects information that
she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023. (Revise and Resubmit, Quarterly Journal of Economics.)
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- July 2023
- Supplement
Honeycomb (B): Jumping on The Generative AI Bandwagon?
By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
- June 2023 (Revised November 2023)
- Case
Sober Sidekick
By: Jeffrey J. Bussgang and Kumba Sennaar
Case on the nascent business model of a mobile health IT startup. In particular, should they pivot away from their successful lead generation business model to charging health plans. View Details
Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; Health Industry; United States
Bussgang, Jeffrey J., and Kumba Sennaar. "Sober Sidekick." Harvard Business School Case 823-066, June 2023. (Revised November 2023.)
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- 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
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.
- April 2023 (Revised September 2023)
- Case
Apple's iPhone Revolution: Pioneering the Circular Economy
By: George Serafeim
When asked to identify an example of a circular economy business model that has generated billions in revenues for a company, ChatGPT, the famous chatbot that in 2022 rocked the world with its ability to perform a variety of tasks, immediately identified and... View Details
Keywords: Iphone; Smartphone; Waste Management; Recycling; Innovation; Product Upgrade; Product Life Cycle; Sustainability; Climate Impact; Digital; Business Model Innovation; Climate Change; Information Technology; Business Model; Electronics Industry; Information Technology Industry
Serafeim, George. "Apple's iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Case 123-089, April 2023. (Revised September 2023.)
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- April 2023 (Revised September 2023)
- Case
Levels: The Remote, Asynchronous, Deep Work Management System
By: Joseph B. Fuller and George Gonzalez
Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
- 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
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- 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
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- February 2023 (Revised June 2023)
- Case
Doing Business in Santiago, Chile
By: Willis Emmons, Leonard A. Schlesinger and Ruth Costas
The case uses the example of the opening of the first IKEA furniture store in Chile – which is operated by Chilean group Falabella – to discuss the opportunities and challenges of doing business in the country. It gives readers an overview of Chile’s economic... View Details
Keywords: Business Cycles; Development Economics; Developing Countries and Economies; Economic Growth; Economic Sectors; Economy; Macroeconomics; Business History; Chile; Latin America
Emmons, Willis, Leonard A. Schlesinger, and Ruth Costas. "Doing Business in Santiago, Chile." Harvard Business School Case 323-085, February 2023. (Revised June 2023.)
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- February 2023
- Case
Roblox: Virtual Commerce in the Metaverse
By: Ayelet Israeli and Nicole Tempest Keller
In 2022, Roblox had 58.8 million daily active users, including over half of all children and teens under the age of 16 in the United States. Roblox, a free-to-use “co-experience platform”, allowed users to come together in immersive 3D experiences to socialize, work,... View Details
Keywords: Entertainment; Games, Gaming, and Gambling; Market Design; Marketing; Brands and Branding; Marketing Channels; Marketing Strategy; Business Strategy; Economics; Economy; Economic Systems; Advertising; Advertising Campaigns; Digital Platforms; Markets; Price; Innovation and Management; Entertainment and Recreation Industry; Video Game Industry; Technology Industry; United States; California; North America; South America; Asia; Europe
Israeli, Ayelet, and Nicole Tempest Keller. "Roblox: Virtual Commerce in the Metaverse." Harvard Business School Case 523-028, February 2023.
- January 2023 (Revised December 2023)
- Case
OhmConnect: Energizing the Future
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)