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(1,157)
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Show Results For
- All HBS Web
(1,157)
- News (154)
- Research (844)
- Events (17)
- Multimedia (9)
- Faculty Publications (571)
- May 1997
- Teaching Note
Managing Product Development: Matching Technology with Context, Instructor's Note
By: Marco Iansiti
This overview to Managing Product Development (MPD) both previews course material, cases, exercises, and lectures--and provides its conceptual and academic underpinnings. Additionally, this note links these materials to the activities students will be undertaking in... View Details
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
- Article
The Learning Effects of Monitoring
By: Dennis Campbell, Marc Epstein and F. Asis Martinez-Jerez
This paper investigates the relationship between monitoring, decision making, and learning among lower-level employees. We exploit a field-research setting in which business units vary in the "tightness" with which they monitor employee decisions. We find that tighter... View Details
Keywords: Learning; Business or Company Management; Decision Making; Employees; Research; Resignation and Termination; Rights; Business Units; Governance Controls; Performance; Motivation and Incentives
Campbell, Dennis, Marc Epstein, and F. Asis Martinez-Jerez. "The Learning Effects of Monitoring." Accounting Review 86, no. 6 (November 2011): 1909–1934.
- June 1997
- Teaching Note
Innovation in Action: Product Development Projects and Action-Based Learning, Instructor's Note
By: Marco Iansiti
As a project-based course, Managing Product Development has been carefully designed so that classroom discussion and students' project team activities infuse each other: learning from course materials enhances project activities, which in turn enrich subsequent... View Details
- Research Summary
Overview
Social psychologist Amy Cuddy, an associate professor at Harvard Business School, uses experimental methods to investigate how people judge each other and themselves. Her research suggests that judgments along two critical trait dimensions – warmth/trustworthiness and... View Details
The Transparency Trap
To get people to be more creative and productive, managers increase transparency with open workspaces and access to real-time data. But my research shows that less-transparent work environments can actually yield more-transparent employees who solve problems more... View Details
- November 2024
- Supplement
AlphaGo (C): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Research; Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Information Technology; Research And Development; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; United States
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
- May–June 2019
- Article
U-Shaped Conformity in Online Social Networks
By: Monic Sun, Michael Zhang and Feng Zhu
We explore how people balance their needs to belong and to be different from their friends by studying their choices of a virtual-house wall color on a leading Chinese social-networking site. The setting enables us to randomize both the popular color and the adoption... View Details
Keywords: Conformity; Normative Social Influence; Social Networks; Field Experiment; Social and Collaborative Networks; Behavior; Attitudes; Social Media
Sun, Monic, Michael Zhang, and Feng Zhu. "U-Shaped Conformity in Online Social Networks." Marketing Science 38, no. 3 (May–June 2019): 461–480.
- 2015
- Chapter
Leading Proactive Punctuated Change
By: Michael Tushman, Charles O'Reilly and Bruce Harreld
This chapter focuses on leading proactive punctuated change. Based on the institutional and organizational change literatures and our extended involvement with IBM between 1999 and 2008, we suggest that proactive punctuated change can be effectively managed through an... View Details
Tushman, Michael, Charles O'Reilly, and Bruce Harreld. "Leading Proactive Punctuated Change." Chap. 10 in Leading Sustainable Change: An Organizational Perspective, edited by Rebecca Henderson, Ranjay Gulati, and Michael Tushman. Oxford University Press, 2015.
- 2011
- Working Paper
Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior
By: David F. Drake
In an experimental newsvendor setting we investigate three phenomena: Level behavior — the decision-maker's average ordering tendency; adjustment behavior — the tendency to adjust period-to-period order quantities; and observation bias — the tendency to let the degree... View Details
Drake, David F. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior." Harvard Business School Working Paper, No. 12-042, December 2011.
- Research Summary
Overview
Professor Brooks studies the psychology of conversation and emotion—topics at the intersection of how people think, feel, and interact. From pitching ideas to seeking advice, from asking questions to giving compliments, from talking about (or hiding) our feelings and... View Details
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- 2020
- Working Paper
What Can Economics Say About Alzheimer's Disease?
By: Amitabh Chandra, Courtney Coile and Corina Mommaerts
Alzheimer’s Disease (AD) affects one in ten people aged 65 or older and is the most expensive disease in the United States. We describe the central economic questions raised by AD. While there is overlap with the economics of aging, the defining features of the... View Details
Chandra, Amitabh, Courtney Coile, and Corina Mommaerts. "What Can Economics Say About Alzheimer's Disease?" NBER Working Paper Series, No. 27760, August 2020.
- March 1987 (Revised October 1993)
- Case
Au Bon Pain: The French Bakery Cafe, The Partner/Manager Program
By: W. Earl Sasser
In recent years, Au Bon Pain (ABP), a chain of upscale French bakeries/sandwich cafes based in Boston, confronted a set of human resource problems endemic to the fast food industry (i.e., a labor shortage which made it difficult to attract and maintain quality crew... View Details
Keywords: Motivation and Incentives; Managerial Roles; Retention; Employees; Performance Improvement; Recruitment; Problems and Challenges; Compensation and Benefits; Food and Beverage Industry; Service Industry; Boston
Sasser, W. Earl. "Au Bon Pain: The French Bakery Cafe, The Partner/Manager Program." Harvard Business School Case 687-063, March 1987. (Revised October 1993.)
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- 1996
- Article
Evidence to Support the Componential Model of Creativity: Secondary Analyses of Three Studies
By: R. Conti, H. Coon and T. M. Amabile
Amabile's (1983a, 1983b, 1988) componential model of creativity predicts that three major components contribute to creativity: skills specific to the task domain, general (cross-domain) creativity-relevant skills, and task motivation. If all three components actually... View Details
Conti, R., H. Coon, and T. M. Amabile. "Evidence to Support the Componential Model of Creativity: Secondary Analyses of Three Studies." Creativity Research Journal 9, no. 4 (1996): 385–389.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.