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  • All HBS Web  (2,010)
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Show Results For

  • All HBS Web  (2,010)
    • People  (22)
    • News  (585)
    • Research  (869)
    • Events  (24)
    • Multimedia  (17)
  • Faculty Publications  (419)
← Page 24 of 2,010 Results →
  • Program

General Management Program

Summary Taking your organization and your career to the next level requires going beyond your field of expertise to gain an end-to-end view of the enterprise, an in-depth understanding of business operations, and a multidisciplinary... View Details
  • November 7, 2017
  • Article

Temporary Sharing Prompts Unrestrained Disclosures That Leave Lasting Negative Impressions

By: Reto Hofstetter, Roland Rüppell and Leslie John
With the advent of social media, the impressions people make on others are based increasingly on their digital disclosures. Yet digital disclosures can come back to haunt, making it challenging for people to manage the impressions they make. In field and online... View Details
Keywords: Disclosure; Privacy; Self-presentation; Impression Formation; Behavior; Perspective; Internet and the Web; Social Media
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Hofstetter, Reto, Roland Rüppell, and Leslie John. "Temporary Sharing Prompts Unrestrained Disclosures That Leave Lasting Negative Impressions." Proceedings of the National Academy of Sciences 114, no. 45 (November 7, 2017).
  • Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
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McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.

    A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

    We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details

      James K. Sebenius

      JAMES K. (“Jim”) SEBENIUS, is the Gordon Donaldson Professor of Business Administration at Harvard Business School, where he founded the Negotiation unit and teaches advanced... View Details

      • 13 Sep 2019
      • Blog Post

      An Uncommon Summer: Project Management at an Education Non-Profit

      my military background, they were intrigued by my experience in project and change management, especially while leading teams. After months of conversations and interviews, I was matched with the Human Resources team at Uncommon Schools... View Details
      • Working Paper

      The Returns to Skills During the Pandemic: Experimental Evidence from Uganda

      By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
      The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in... View Details
      Keywords: COVID-19 Pandemic; System Shocks; Labor; Competency and Skills; Development Economics; Uganda
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      Alfonsi, Livia, Vittorio Bassi, Imran Rasul, and Elena Spadini. "The Returns to Skills During the Pandemic: Experimental Evidence from Uganda." Harvard Business School Working Paper, No. 25-003, August 2024. (NBER Working Paper Series, No. 32785, August 2024.)
      • June 2018
      • Article

      Video Content Marketing: The Making of Clips

      By: Xuan Liu, Savannah Wei Shi, Thales S. Teixeira and Michel Wedel
      Consumers have an increasingly wide variety of options available to entertain themselves. This poses a challenge for content aggregators who want to effectively promote their video content online through original trailers of movies, sitcoms, and video games. Marketers... View Details
      Keywords: Film Entertainment; Marketing; Digital Marketing; Performance Effectiveness; Performance Improvement
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      Liu, Xuan, Savannah Wei Shi, Thales S. Teixeira, and Michel Wedel. "Video Content Marketing: The Making of Clips." Journal of Marketing 82, no. 4 (July 2018): 86–101.
      • 2019
      • Working Paper

      Managing Churn to Maximize Profits

      By: Aurelie Lemmens and Sunil Gupta
      Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
      Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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      Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
      • June 2017
      • Article

      Creating Reciprocal Value Through Operational Transparency

      By: Ryan W. Buell, Tami Kim and Chia-Jung Tsay
      We investigate whether organizations can create value by introducing visual transparency between consumers and producers. Although operational transparency has been shown to improve consumer perceptions of service value, existing theory posits that increased contact... View Details
      Keywords: Operational Transparency; Service Management; Production Management; Organizational Performance; Behavioral Operations; Service Operations; Service Delivery; Consumer Behavior; Labor; Organizational Design; Operations; Service Industry; United States; Kenya
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      Buell, Ryan W., Tami Kim, and Chia-Jung Tsay. "Creating Reciprocal Value Through Operational Transparency." Management Science 63, no. 6 (June 2017): 1673–1695.

        The Uneven Impact of Generative AI on Entrepreneurial Performance

        There is a growing belief that scalable and low-cost AI assistance can improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it hard to generalize from recent studies showing that generative... View Details
        • Profile

        Francesca Ioffreda

        Why was earning your MBA at HBS important to you? I came to HBS to expand my skillset and be pushed outside of my comfort zone. I wanted to hone my personal leadership style via FIELD courses and team projects. For me, one of the most... View Details
        Keywords: Health Care

          John F. Batter

          John Batter is a retired Litigation Partner in the Boston Office of Wilmer Cutler Pickering Hale and Dorr LLP where his practice focussed on on the defense of public and private companies and their directors and management against breach of fiduciary duty claims and... View Details

          • 12 Oct 1999
          • Research & Ideas

          The Intellectual Underpinnings of Entrepreneurial Management

          What are the roots of entrepreneurship as an academic field of interest? The term entrepreneur—literally, "undertaker"—has been around for over two centuries, having been introduced in the early eighteenth century by the... View Details
          Keywords: by Howard H. Stevenson & Teresa M. Amabile
          • 22 May 2007
          • Working Paper Summaries

          The Speed of New Ideas: Trust, Institutions and the Diffusion of New Products

          Keywords: by Felix Oberholzer-Gee & Joel Waldfogel
          • 2025
          • Working Paper

          Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

          By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
          Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... 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. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 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
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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.
          • 2023
          • Working Paper

          Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

          By: Daniel Yue, Paul Hamilton and Iavor Bojinov
          Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
          Keywords: Analytics and Data Science
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          Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
          • May 2020
          • Article

          To Be or Not to Be Your Authentic Self? Catering to Others' Expectations and Interests Hinders Performance

          By: Francesca Gino, Ovul Sezer and Laura Huang
          When approaching interpersonal first meetings (e.g., job interviews), people often cater to the target’s interests and expectations to make a good impression and secure a positive outcome such as being offered the job (pilot study). This strategy is distinct from other... View Details
          Keywords: Authenticity; Catering; Honesty; Selection; Impression Management; Interpersonal Communication; Behavior; Performance
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          Gino, Francesca, Ovul Sezer, and Laura Huang. "To Be or Not to Be Your Authentic Self? Catering to Others' Expectations and Interests Hinders Performance." Organizational Behavior and Human Decision Processes 158 (May 2020): 83–100.
          • February 2020
          • Article

          Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs

          By: Rachel Gershon, Cynthia Cryder and Leslie K. John
          While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more effective. Companies frequently offer “selfish” (i.e., sender-benefiting) referral incentives, offering customers financial... View Details
          Keywords: Incentives; Prosocial Behavior; Judgment And Decision-making; Referral Rewards; Motivation and Incentives; Consumer Behavior; Decision Making
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          Gershon, Rachel, Cynthia Cryder, and Leslie K. John. "Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs." Journal of Marketing Research (JMR) 57, no. 1 (February 2020): 156–172.
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