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      • Faculty Publications  (128)

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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: Fabrizio 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 examine...  View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • 2023
      • Working Paper

      The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      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....  View Details
      Keywords: Large Language Model; Crowdsourcing; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing." Harvard Business School Working Paper, No. 24-005, July 2023.
      • August 29, 2023
      • Article

      The Fragility of Artists’ Reputations from 1795 to 2020

      By: Letian Zhang, Mitali Banerjee, Shinan Wang and Zhuoqiao Hong
      This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year...  View Details
      Keywords: Natural Language Processing; Reputation; Arts
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      Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The Fragility of Artists’ Reputations from 1795 to 2020." Proceedings of the National Academy of Sciences 120, no. 35 (August 29, 2023).
      • 2023
      • Working Paper

      Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate

      By: Mengxia Zhang and Isamar Troncoso
      3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to...  View Details
      Keywords: Marketing; AI and Machine Learning; Technology Adoption; Real Estate Industry
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      Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
      • July 2023
      • Article

      Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users

      By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
      Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with...  View Details
      Keywords: Social Media; Emotions
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      Schöne, Jonas P., David Garcia, Brian Parkinson, and Amit Goldenberg. "Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users." PNAS Nexus 2, no. 7 (July 2023).
      • 2023
      • Working Paper

      Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      Problem definition: Communication and customer interaction design have been used as elements to improve customer satisfaction and future purchasing behavior, but little is known about how they can be used as levers to improve operational...  View Details
      Keywords: Customer Satisfaction; Consumer Behavior; Logistics; Communication
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services." Working Paper, May 2023.
      • 2023
      • Working Paper

      Using GPT for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have quickly become popular 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...  View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2023.)
      • March 2023
      • Article

      Authentic First Impressions Relate to Interpersonal, Social, and Entrepreneurial Success

      By: David M. Markowitz, Maryam Kouchaki, Francesca Gino, Jeffrey T. Hancock and Ryan L. Boyd
      This paper examines how verbal authenticity influences person perception. Our work combines human judgments and natural language processing to suggest verbal authenticity is a positive predictor of interpersonal interest (Study 1: 294 dyadic conversations), engagement...  View Details
      Keywords: Authenticity; Impression Formation; Natural Language Processing; First Impressions; Communication; Perception; Success
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      Markowitz, David M., Maryam Kouchaki, Francesca Gino, Jeffrey T. Hancock, and Ryan L. Boyd. "Authentic First Impressions Relate to Interpersonal, Social, and Entrepreneurial Success." Social Psychological & Personality Science 14, no. 2 (March 2023): 107–116.
      • 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
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      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.
      • January 2023
      • Teaching Note

      Duolingo: Teaching Languages to the Masses

      By: Youngme Moon
      Teaching Note for HBS Case 323-016. At the time the case is written, Duolingo is the most popular language learning service in the world. The company has more than 40 million monthly active users, and the company’s total annual revenue has reached $250 million a year....  View Details
      Keywords: Marketing; Marketing Strategy; Customer Relationship Management; Acquisition; Retention; Innovation and Invention
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      Moon, Youngme. "Duolingo: Teaching Languages to the Masses." Harvard Business School Teaching Note 323-070, January 2023.
      • 2023
      • Working Paper

      Summarizing the Mental Customer Journey

      By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim and Tomer Ullman
      How do consumers summarize and act on their experiences, as when deciding whether an interaction with a firm was satisfying and whether to buy from it? Previous work on the summary of continuous experiences has tended to focus on a handful of experience patterns and...  View Details
      Keywords: Customer Experience; Customer Journey; Natural Language Processing; Summarization; Customer Satisfaction; Outcome or Result; Decision Choices and Conditions
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      De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim, and Tomer Ullman. "Summarizing the Mental Customer Journey." Harvard Business School Working Paper, No. 23-038, January 2023.
      • November 2022
      • Article

      A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups

      By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava
      When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining...  View Details
      Keywords: Culture; Machine Learning; Natural Language Processing; Symbolic Boundaries; Organizations; Boundaries; Social Psychology; Interpersonal Communication; Organizational Culture
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      Bhatt, Anjali M., Amir Goldberg, and Sameer B. Srivastava. "A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups." Sociological Methods & Research 51, no. 4 (November 2022): 1681–1720.
      • July 2022 (Revised February 2023)
      • Case

      Duolingo: Teaching Languages to the Masses

      By: Youngme Moon
      In early 2022, the CEO of Duolingo—the world's most popular language learning app—is faced with a number of questions involving the company's monetization and growth strategy.  View Details
      Keywords: Monetization Strategy; Growth and Development Strategy
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      Moon, Youngme. "Duolingo: Teaching Languages to the Masses." Harvard Business School Case 323-016, July 2022. (Revised February 2023.)
      • May 2022
      • Case

      Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

      By: Tsedal Neeley and Stefani Ruper
      Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart...  View Details
      Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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      Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
      • 2022
      • Working Paper

      Rethinking Explainability as a Dialogue: A Practitioner's Perspective

      By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
      As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between...  View Details
      Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations
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      Lakkaraju, Himabindu, Dylan Slack, Yuxin Chen, Chenhao Tan, and Sameer Singh. "Rethinking Explainability as a Dialogue: A Practitioner's Perspective." Working Paper, 2022.
      • 2022
      • Working Paper

      TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability...  View Details
      Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
      • December 2021
      • Article

      Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly

      By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
      Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use...  View Details
      Keywords: Negative Press; Twitter; Political Affiliation; Affect; News; Media; Internet and the Web; Emotions; Perspective; Social Media
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      Bellovary, Andrea, Nathaniel Young, and Amit Goldenberg. "Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly." Affective Science 2, no. 4 (December 2021): 391–396.
      • December 2021
      • Article

      Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations

      By: Jonas Paul Schöne, Brian Parkinson and Amit Goldenberg
      What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing...  View Details
      Keywords: Negative Emotions; Emotional Influence; Emotional Resonance; Political Discourse; Emotion Contagion; Intergroup; Interactive Communication; Emotions; Government and Politics; Social Media
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      Schöne, Jonas Paul, Brian Parkinson, and Amit Goldenberg. "Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations." Affective Science 2, no. 4 (December 2021): 379–390.
      • September 2021 (Revised October 2021)
      • Case

      Dream: Impact Through Real Estate

      By: Michael Chu and John Masko
      The Canadian city of Toronto had one of the largest housing affordability problems of any city in the developed world. One company trying to address this problem was Dream, one of the largest real estate groups in Canada. In 2021, Dream had just launched a new system...  View Details
      Keywords: Impact Investing; Real Estate Development; Renewable Energy; Energy Conservation; Income; Values and Beliefs; Borrowing and Debt; Equity; Private Equity; Public Equity; Financing and Loans; City; Government Legislation; Immigration; Housing; Corporate Social Responsibility and Impact; Mission and Purpose; Property; Business and Government Relations; Civil Society or Community; Human Needs; Sustainable Cities; Environmental Sustainability; Social Enterprise; Real Estate Industry; Canada; Toronto
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      Chu, Michael, and John Masko. "Dream: Impact Through Real Estate." Harvard Business School Case 322-041, September 2021. (Revised October 2021.)
      • Article

      The Deception Spiral: Corporate Obfuscation Leads to Perceptions of Immorality and Cheating Behavior

      By: D.M. Markowitz, M. Kouchaki, J.T. Hancock and F. Gino
      In four studies, we evaluated how corporate misconduct relates to language patterns, perceptions of immorality, and unethical behavior. First, we analyzed nearly 190 codes of conduct from S&P 500 manufacturing companies and observed that corporations with ethics...  View Details
      Keywords: Obfuscation; Corporate Unethicality; Deception; Deception Spiral; Organizations; Values and Beliefs; Ethics; Perception; Behavior
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      Markowitz, D.M., M. Kouchaki, J.T. Hancock, and F. Gino. "The Deception Spiral: Corporate Obfuscation Leads to Perceptions of Immorality and Cheating Behavior." Journal of Language and Social Psychology 40, no. 2 (March 2021): 277–296.
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