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  • All HBS Web  (1,560)
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Show Results For

  • All HBS Web  (1,560)
    • People  (3)
    • News  (354)
    • Research  (970)
    • Events  (3)
    • Multimedia  (1)
  • Faculty Publications  (257)
← Page 5 of 1,560 Results →
  • 2024
  • Working Paper

The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
  • 20 Apr 2023
  • Blog Post

Tackle the First 90 Days of Your Next Role: A 5 Step Process for Success on the Job

executed by the employee is critical. This joint process establishes and strengthens relationships, conveys transparency, and ultimately mitigates risk and maximizes success. “For the employer, key elements of a successful onboarding... View Details
  • 01 Mar 2011
  • News

Two Kinds of Green

social and environmental concerns into daily operations. In the multimedia case “Burt’s Bees: Balancing Growth and Sustainability,” HBS associate professor Christopher Marquis uses text exhibits and video interviews to show how the small View Details
Keywords: Julia Hanna; natural products company; Miscellaneous Manufacturing; Manufacturing; Management, Scientific, and Technical Consulting Services; Professional Services
  • 2024
  • Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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
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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.)
  • 11 Mar 2014
  • Working Paper Summaries

Return Migration and Geography of Innovation in MNEs: A Natural Experiment of On-the-Job Learning of Knowledge Production by Local Workers Reporting to Return Migrants

Keywords: by Prithwiraj Choudhury; Technology
  • February 2015
  • Article

'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology

By: Kevin J. Boudreau and Karim R. Lakhani
Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of... View Details
Keywords: Open Innovation; Cumulative Innovation; Incentives; Search; Disclosure And Access; Knowledge Sharing; Motivation and Incentives; Collaborative Innovation and Invention
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Boudreau, Kevin J., and Karim R. Lakhani. "'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology." Research Policy 44, no. 1 (February 2015): 4–19.
  • June 2012
  • Supplement

Foro Energy (B)

By: Joseph B. Lassiter, William A. Sahlman and James McQuade
Foro Energy developed proprietary and patent-pending fiber-laser technologies that could disrupt existing processes and services for the exploration and production of oil and natural gas. These breakthrough laser technologies were protected by a strong intellectual... View Details
Keywords: Disruptive Technologies; Innovation & Entrepreneurship; Development Stage Enterprises; Entrepreneurial Management; Entrepreneurs; Petroleum; Natural Gas; High Technology; Energy; Entrepreneurship; Disruptive Innovation; Technological Innovation; Intellectual Property; Energy Industry
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Lassiter, Joseph B., William A. Sahlman, and James McQuade. "Foro Energy (B)." Harvard Business School Supplement 812-163, June 2012.
  • 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
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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.
  • February 2018
  • Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis
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Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 418-049, February 2018.
  • Teaching Interest

Overview

I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details
Keywords: Analytics; Machine Learning; Statistics
  • 2013
  • Article

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
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Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
  • 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.
  • 22 Apr 2025
  • HBS Seminar

Kaitlin Woolley, Cornell University

    Anjali M. Bhatt

    Anjali... View Details

    • 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.
    • 2025
    • Working Paper

    Partisan Corporate Speech

    By: William Cassidy and Elisabeth Kempf
    We construct a novel measure of partisan corporate speech using natural language processing techniques and use it to establish three stylized facts. First, the volume of partisan corporate speech has risen sharply between 2012 and 2022. Second, this increase has... View Details
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    Cassidy, William, and Elisabeth Kempf. "Partisan Corporate Speech." Harvard Business School Working Paper, No. 05-056, May 2025.
    • Spring 2021
    • Article

    Corporate Resilience and Response During COVID-19

    By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
    The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19... View Details
    Keywords: ESG; COVID-19; Coronavirus; Crisis Response Plans; Crisis; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Leadership & Corporate Accountability; Big Data; Machine Learning; Investor Behavior; Institutional Investors; Corporate Performance; Health Pandemics; Crisis Management; Corporate Social Responsibility and Impact; Human Capital; Supply Chain; Operations; Leadership; Corporate Accountability; Institutional Investing; Performance
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    Cheema-Fox, Alex, Bridget LaPerla, George Serafeim, and Hui (Stacie) Wang. "Corporate Resilience and Response During COVID-19." Journal of Applied Corporate Finance 33, no. 2 (Spring 2021): 24–40.
    • December 2019
    • Article

    Communicating with Warmth in Distributive Negotiations Is Surprisingly Counterproductive

    By: M. Jeong, J. Minson, M. Yeomans and F. Gino
    When entering into a negotiation, individuals have the choice to enact a variety of communication styles. We test the differential impact of being “warm and friendly” versus “tough and firm” in a distributive negotiation, when first offers are held constant and... View Details
    Keywords: Negotiation Style; Communication Strategy; Perception; Performance Effectiveness; Outcome or Result
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    Jeong, M., J. Minson, M. Yeomans, and F. Gino. "Communicating with Warmth in Distributive Negotiations Is Surprisingly Counterproductive." Management Science 65, no. 12 (December 2019): 5813–5837.
    • June 2020
    • Article

    Waiting to Inhale: Reducing Stigma in the Medical Cannabis Industry

    By: Kisha Lashley and Timothy G. Pollock
    When a new industry category is predicated on a product or activity subject to ‘‘core’’ stigma—meaning its very nature is stigmatized—the actors trying to establish it may struggle to gain the resources they need to survive and grow. To explain the process of reducing... View Details
    Keywords: Stigma; Cannabis Industry; Deviance; Public Opinion; Moral Sensibility; Health Care and Treatment
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    Lashley, Kisha, and Timothy G. Pollock. "Waiting to Inhale: Reducing Stigma in the Medical Cannabis Industry." Administrative Science Quarterly 65, no. 2 (June 2020): 434–482.
    • 19 Jan 2015
    • Research & Ideas

    Is Wikipedia More Biased Than Encyclopædia Britannica?

    psychology and politics over the centuries. Are two heads better than one, or do too many cooks spoil the broth? Does the collective will of the majority lead to democratic consensus or fundamentalist groupthink? The massive, ongoing View Details
    Keywords: by Michael Blanding; Publishing
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