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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)
- 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
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
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
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
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
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
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
- 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
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
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
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
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
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.