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- Faculty Publications (475)
Show Results For
- All HBS Web (2,037)
- Faculty Publications (475)
- November–December 2019
- Article
Head, Heart or Hands: How Do Employees Respond to a Radical Global Language Change Over Time?
By: Sebastian Reiche and Tsedal Neeley
To understand how recipients respond to radical change over time across cognitive, affective, and behavioral dimensions, we conducted a longitudinal study of a mandated language change at a Chilean subsidiary of a large U.S. multinational organization. The... View Details
Keywords: Language; Communication; Change; Employees; Attitudes; Emotions; Globalized Firms and Management
Reiche, Sebastian, and Tsedal Neeley. "Head, Heart or Hands: How Do Employees Respond to a Radical Global Language Change Over Time?" Organization Science 30, no. 6 (November–December 2019): 1252–1269.
- December 2019
- Article
The Ethical Perils of Personal, Communal Relations: A Language Perspective
By: Maryam Kouchaki, Francesca Gino and Yuval Feldman
The current paper focuses on how the type of relationship that exists between a group and its members influences misconduct by fostering certain perceptions of the group. Using multiple methods, lab- and field-based experiments (N = 1,679), and a large dataset of S&P... View Details
Kouchaki, Maryam, Francesca Gino, and Yuval Feldman. "The Ethical Perils of Personal, Communal Relations: A Language Perspective." Psychological Science 30, no. 12 (December 2019): 1745–1766.
- 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.
- 2006
- Article
Cyclical Wages in a Search-and-Bargaining Model with Large Firms
By: Julio J. Rotemberg
Rotemberg, Julio J. "Cyclical Wages in a Search-and-Bargaining Model with Large Firms." NBER International Seminar on Macroeconomics (2006): 65–114.
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
Large Shocks Travel Fast
We leverage the inflation upswing of 2022 and various granular datasets to identify robust price-setting patterns following a large supply shock. We show that the frequency of price changes increases dramatically after a large shock. We set up a parsimonious New... View Details
- January 2021
- Article
A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.
- 01 Mar 2023
- News
The Latest Model
broader economy. Prysm was retained recently by a large conglomerate to help design a crypto token, in a highly regulated jurisdiction. “They came to us and said, we need a token economic model that does the... View Details
- 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.)
- January 2014 (Revised December 2014)
- Case
GenapSys: Business Models for the Genome
By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble
GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details
Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation ＆ Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- 19 Jul 2019
- News
How To Innovate Inside Large Organizations
- August 2017 (Revised December 2018)
- Case
Tamarin App: Natural Language Processing
By: Srikant M. Datar and Caitlin N. Bowler
In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This... View Details
Keywords: Data Science; Branding; Data Analytics; Analytics and Data Science; Brands and Branding; Analysis; Perception; Planning
Datar, Srikant M., and Caitlin N. Bowler. "Tamarin App: Natural Language Processing." Harvard Business School Case 118-015, August 2017. (Revised December 2018.)
- 2025
- Working Paper
Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha
By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships
Organizations are formed in a free economy because a person or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken, and... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships." Harvard Business School Working Paper, No. 19-037, October 2018.
- 01 Mar 2009
- News
Model Patient
example, in a large political body such as a state legislature. Wcislo thinks the Massachusetts plan is a possible model for a national program. She notes, “It expanded Medicaid and provided subsidized... View Details
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details
- January – February 2011
- Article
How to Design a Winning Business Model
By: Ramon Casadesus-Masanell and Joan E. Ricart
Most executives believe that competing through business models is critical for success, but few have come to grips with how best to do so. One common mistake is enterprises' unwavering focus on creating innovative models and evaluating their efficacy in standalone... View Details
Keywords: Business Model; Design; Strength and Weakness; Competitive Strategy; Competitive Advantage
Casadesus-Masanell, Ramon, and Joan E. Ricart. "How to Design a Winning Business Model." Harvard Business Review 89, nos. 1-2 (January–February 2011): 100–107.
- June–July 2014
- Article
Language as a Lightning Rod: Power Contests, Emotion Regulation, and Subgroup Dynamics in Global Teams
By: Pamela J. Hinds, Tsedal Neeley and Catherine Durnell Cramton
Through an ethnographic study comprised of interviews with and observations of 96 globally distributed members in six software development teams, we propose a model that captures how asymmetries in language fluency contribute to an us vs. them dynamic so common in... View Details
Keywords: Equality and Inequality; Communication Intention and Meaning; Groups and Teams; Applications and Software; Emotions; Cross-Cultural and Cross-Border Issues; Power and Influence; Information Technology Industry
Hinds, Pamela J., Tsedal Neeley, and Catherine Durnell Cramton. "Language as a Lightning Rod: Power Contests, Emotion Regulation, and Subgroup Dynamics in Global Teams." Journal of International Business Studies 45, no. 5 (June–July 2014): 536–561.