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Show Results For
- All HBS Web
(10,864)
- People (64)
- News (3,422)
- Research (3,987)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,451)
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- September 2011
- Article
Up Close and Personal: Developing Foundations for Leader Development through Personalization of Management Learning
By: Gianpiero Petriglieri, Jack D. Wood and Jennifer L. Petriglieri
This paper examines the process through which management students develop personal foundations (such as self-awareness, self-management, and a grounding life narrative) for the ongoing development and practice of leadership. We conducted an inductive, qualitative study... View Details
Keywords: Leadership Development; Innovation and Invention; Personal Development and Career; Curriculum and Courses; Customization and Personalization; Learning; Management Practices and Processes; Business Education
Petriglieri, Gianpiero, Jack D. Wood, and Jennifer L. Petriglieri. "Up Close and Personal: Developing Foundations for Leader Development through Personalization of Management Learning." Academy of Management Learning & Education 10, no. 3 (September 2011). (
Nominated for Carolyn Dexter Award For the paper that best meets the objective of internationalizing the Academy presented by Academy of Management. Winner of Best Paper in Graduate Management Education Sponsored by the Graduate Management Admission Council (GMAC) presented by Academy of Management
.)- September 2009
- Article
A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement
By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill
Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details
Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement
Carty, Matthew, MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow, and Dennis Orgill. "A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement." Plastic and Reconstructive Surgery 124, no. 3 (September 2009): 706–714.
- 1999
- Chapter
On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach
By: Ido Erev and A. E. Roth
- 2019
- Working Paper
Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured
By: Regina E. Herzlinger and Barak D. Richman
Economists have long noted that the tax exclusion of employer-sponsored insurance (ESI) caused workers to purchase health plans that differ in price and other characteristics from those they would otherwise choose for themselves. We explore the short-term and long-term... View Details
Keywords: After-tax Income; Consumer-driven Health Care; Health Care Costs; Health Insurance; Income Inequality; Tax Policy; Health Care and Treatment; Cost; Insurance; Income; Equality and Inequality; Taxation; Policy; United States
Herzlinger, Regina E., and Barak D. Richman. "Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- Summer 2020
- Article
Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs
By: Elizabeth J. Altman and Frank Nagle
A United Nations agency with a sweeping mission and sprawling global presence may not appear to be the most likely place where companies can learn new techniques for accelerating innovation — but appearances can be deceiving. The United Nations Development Programme... View Details
Altman, Elizabeth J., and Frank Nagle. "Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs." MIT Sloan Management Review 61, no. 4 (Summer 2020).
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details
Keywords: Artificial Intelligence; Machine Learning; Robotics; Robots; Ecommerce; Fulfillment; Warehousing; AI; Startup; Technology Commercialization; Business Startups; Entrepreneurship; Logistics; Order Taking and Fulfillment; Information Technology; Commercialization; Learning; Complexity; Competition; E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- 2013
- Article
The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities
By: Michael Beer
Organizations underperform and sometimes fail because their leaders are unable to learn the unvarnished truth from relevant stakeholders about how the design and behavior of the organization is misaligned with its goals and strategy. The Strategic Fitness Process (SFP)... View Details
Keywords: Organization Alignment; Dynamic Capabilities; Organization Design; Organizational Prototyping; Organizational Silence; Organizational Learning; Organizational Change and Adaptation; Strategic Planning; Organizational Design
Beer, Michael. "The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities." Journal of Organization Design 2, no. 1 (2013).
- Article
Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions
By: Gautam Ahuja and Curba Morris Lampert
We present a model that explains how established firms create breakthrough inventions. We identify three organizational pathologies that inhibit breakthrough inventions: the familiarity trap—favoring the familiar; the maturity trap—favoring the mature;... View Details
Keywords: Radical Innovation; Organizational Learning; Technology; Strategy; Corporate Entrepreneurship; Business Processes; Innovation and Invention; Chemical Industry
Ahuja, Gautam, and Curba Morris Lampert. "Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions." Special Issue on Strategic Entrepreneurship: Entrepreneurial Strategies for Wealth Creation. Strategic Management Journal 22, nos. 6-7 (June–July 2001): 521–543.
- September 2020
- Article
Regulatory Sandboxes: A Cure for mHealth Pilotitis?
By: Abhishek Bhatia, Rahul Matthan, Tarun Khanna and Satchit Balsari
Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered... View Details
Keywords: COVID-19; mHealth; Digital Health; Design Thinking; Regulation; Intervention; Regulatory Sandbox; Health Care and Treatment; Technological Innovation; Design; Governing Rules, Regulations, and Reforms; India
Bhatia, Abhishek, Rahul Matthan, Tarun Khanna, and Satchit Balsari. "Regulatory Sandboxes: A Cure for mHealth Pilotitis?" Journal of Medical Internet Research 22, no. 9 (September 2020).
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- 1995
- Article
The Positive Impact of Creative Activity: Effects of Creative Task Engagement and Motivational Focus on College Student's Learning
By: R. Conti, T. M. Amabile and S. Pollack
This study assessed the effectiveness of engaging students in a creative activity on a topic as a means of encouraging an active cognitive set toward learning that topic area. This technique was examined in three motivational contexts. Before reading a short... View Details
Keywords: Creativity; Cognition and Thinking; Behavior; Performance; Motivation and Incentives; Training
Conti, R., T. M. Amabile, and S. Pollack. "The Positive Impact of Creative Activity: Effects of Creative Task Engagement and Motivational Focus on College Student's Learning." Personality and Social Psychology Bulletin 21 (1995): 1107–1116.
- 2021
- Working Paper
Who Closed the Schools?
By: Joshua D. Coval
This paper examines the differences in characteristics between U.S. public schools that opted for virtual instruction because of COVID-19, and schools that did not. Much of the variation can be explained by measures of the degree to which districts favored teachers... View Details
Keywords: Public Education; COVID-19; Virtual Learning; Education; Health Pandemics; Teaching; Internet and the Web; Policy; Outcome or Result; United States
Coval, Joshua D. "Who Closed the Schools?" Harvard Business School Working Paper, No. 21-127, June 2021.
- December 2023
- Article
Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency
By: Gunther Glenk, Philip Holler and Stefan Reichelstein
Widespread adoption of hydrogen as an energy carrier is widely believed to require continued advances in Power-to-Gas (PtG) technologies. Here we provide a comprehensive assessment of the dynamics of system prices and conversion efficiency for three currently prevalent... View Details
Keywords: Clean Technology; Green Hydrogen; Carbon Emissions; Decarbonization; Learning By Doing; Environment; Energy; Environmental Accounting; Environmental Management; Sustainable Cities; Cost Accounting; Innovation and Management; Technology Adoption; Energy Policy; Engineering; Green Technology; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Transportation Industry; North America; South America; Africa; Europe; Asia
Glenk, Gunther, Philip Holler, and Stefan Reichelstein. "Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency." Energy & Environmental Science 16, no. 12 (December 2023): 6058–6070.
- 2010
- Working Paper
Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)
By: Felipe Tamega Fernandes
The literature on the rubber boom applied a Dependendist view of rubber production in the Brazilian Amazon. Even though a sizable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global Commodity Chain... View Details
Keywords: Cross-Cultural and Cross-Border Issues; Business History; Supply Chain; Manufacturing Industry; Rubber Industry; Brazil
Fernandes, Felipe Tamega. "Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)." Harvard Business School Working Paper, No. 10-089, April 2010.
- Article
Counterfactual Explanations Can Be Manipulated
By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- October 2023
- Article
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)