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- 2024
- Working Paper
Climate Solutions, Transition Risk, and Stock Returns
By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
- 2024
- Working Paper
Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups
By: Shirley Lu, George Serafeim and Simon Xu
We study whether incumbent firms increase their product focus on climate solutions in response to venture capital (VC) financing of climate-tech startups. Using large language models to measure a firm's focus on climate solutions, we find that incumbents in similar... View Details
Keywords: Climate Change; Climate Finance; Innovation; Technology; Entrepreneurship; Venture Capital; Private Equity; Environment; Sustainability
Lu, Shirley, George Serafeim, and Simon Xu. "Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups." Harvard Business School Working Paper, No. 25-025, November 2024.
- October 2024
- Case
Lanco Medical Group: Fostering Happiness for Growth
By: Susanna Gallani, Jenyfeer Martínez Buitrago and Katherine Sonnefeldt
This case describes how Lanco Medical Group, a fast-growing pharmaceutical distributor serving Latin America, approached the design of their employee benefits and incentives program. After learning about gaps between what leadership believed motivated employees and... View Details
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- August 2024
- Case
Oculii
By: Andy Wu and Lucas Defilippo
It was a bright June day in 2016. Steven Hong, co-founder and COO of Oculii had just signed a letter of intent agreeing to a 51% stake acquisition by Nexteer Automotive, a global steering and driveline supplier company that developed advanced driver assistance systems... View Details
- 2024
- Working Paper
Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
Dhaliwal, Nathan, Jillian J. Jordan, and Pat Barclay. "Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous." Working Paper, August 2024.
- August 2024
- Article
Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online.
By: Isaias Ghezae, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer and David Rand
A frequently invoked explanation for the sharing of false over true political information is that partisans are motivated by their reputations. In particular, it is often argued that by indiscriminately sharing news that is favorable to one’s political party,... View Details
Ghezae, Isaias, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer, and David Rand. "Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online." PNAS Nexus 3, no. 8 (August 2024).
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- May 2024
- Article
Going Beyond the 'Self' in Self-control: Interpersonal Consequences of Commitment Strategies
By: Ariella S. Kristal and Julian Zlatev
Commitment strategies are effective mechanisms individuals can use to overcome self-control problems. Across seven studies (and two supplemental studies), we explore the negative interpersonal consequences of commitment strategy choice and use. In Study 1, using an... View Details
Kristal, Ariella S., and Julian Zlatev. "Going Beyond the 'Self' in Self-control: Interpersonal Consequences of Commitment Strategies." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 804–817.
- April–May 2024
- Article
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... View Details
Keywords: Analytics and Data Science; Borrowing and Debt; Financial Markets; Value; Knowledge Dissemination; Financing and Loans
Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
- 2024
- Working Paper
Content Moderation with Opaque Policies
By: Scott Duke Kominers and Jesse M. Shapiro
A sender sends a signal about a state to a receiver who takes an action that determines a payoff. A moderator can block some or all of the sender's signal before it reaches the receiver. When the moderator's policy is transparent to the receiver, the moderator can... View Details
Kominers, Scott Duke, and Jesse M. Shapiro. "Content Moderation with Opaque Policies." NBER Working Paper Series, No. 32156, February 2024.
- 2024
- Working Paper
Contributing to Growth? The Role of Open Source Software for Global Startups
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
How does participating in open source software (OSS) communities spur entrepreneurial growth?
To address this question, we analyze novel data matching accounts from GitHub—the largest OSS
hosting platform—to the universe of global software venture-backed firms... View Details
Keywords: Applications and Software; Open Source Distribution; Entrepreneurship; Business Growth and Maturation; Human Capital; Valuation; Corporate Strategy
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Contributing to Growth? The Role of Open Source Software for Global Startups." Harvard Business School Working Paper, No. 24-040, January 2024. (Revised August 2024.)
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
Save More Today or Tomorrow: The Role of Urgency in Precommitment Design
By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
- October 2023
- Case
Lasell University in 2023: Securing the Future
By: John Jong-Hyun Kim and Mary C. Sauer
In a groundbreaking move on September 20, 2022, Lasell University's President, Michael B. Alexander, announced an extraordinary 33% reduction in tuition, room, board, and fees, signaling a pivotal shift in higher education. Situated in an affluent Boston suburb,... View Details
Keywords: Higher Education; Cost; Valuation; Competitive Advantage; Education Industry; United States; Massachusetts
Kim, John Jong-Hyun, and Mary C. Sauer. "Lasell University in 2023: Securing the Future." Harvard Business School Case 324-049, October 2023.
- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
- July 11, 2023
- Article
How Reputation Does (and Does Not) Drive People to Punish Without Looking
By: Jillian J. Jordan and Nour S. Kteily
Punishing wrongdoers can confer reputational benefits, and people sometimes punish without careful consideration. But are these observations related? Does reputation drive people to people to “punish without looking”? And if so, is this because unquestioning... View Details
Keywords: Opposing Perspectives; Outrage Culture; Signaling; Ideology; Moralistic Punishment; Perspective; Behavior; Reputation; Decision Making
Jordan, Jillian J., and Nour S. Kteily. "How Reputation Does (and Does Not) Drive People to Punish Without Looking." Proceedings of the National Academy of Sciences 120, no. 28 (July 11, 2023).
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.