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

  • All HBS Web  (2,010)
    • People  (22)
    • News  (582)
    • Research  (869)
    • Events  (24)
    • Multimedia  (17)
  • Faculty Publications  (419)
← Page 24 of 2,010 Results →
  • 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
    • 23 Feb 2015
    • Research & Ideas

    How to Break the Expert’s Curse

    a beginner, that could actually have powerful implications for how advising takes place in an organization. It has implications for how experts can better understand those who have less experience than they do." Note to managers: If your... View Details
    Keywords: by Carmen Nobel; Education
    • 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.)
    • 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.)
    • 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.

      Hoping for the Worst? A Paradoxical Preference for Bad News

      Nine studies investigate when and why people may paradoxically prefer bad news—e.g., hoping for an objectively worse injury or a higher-risk diagnosis over explicitly better alternatives. Using a combination of field surveys and randomized experiments, the... View Details

        The Psychosocial Value of Employment

        In settings where employment opportunities are scarce, the inability to work may generate psychosocial harm. This paper presents a causal estimate of the psychosocial value of employment in the Rohingya refugee camps of Bangladesh. We engage 745 individuals in a field... View Details

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

          Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
          • 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

              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

              • 24 Oct 2024
              • Blog Post

              Trailblazing Success with Global Reach and Impact: Scott Wallinger (AMP 82, 1979)

              years of forestry business experience. HBS was transformative. For the first time, I was learning about international business and gaining insights from people across different industries. The case method challenged me to think critically, and my classmates’ diverse... View Details

                Jill J. Avery

                Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details

                Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels & motels; food; beverage
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