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Show Results For
- All HBS Web
(10,853)
- People (64)
- News (3,421)
- Research (3,984)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,448)
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- June 2018 (Revised November 2018)
- Case
Innovation at Insigne Health
By: Srikant M. Datar, Linda A. Cyr and Caitlin N. Bowler
Insigne Health is a fictional for-profit, integrated health insurer/health care provider whose leadership believes that by shifting members’ focus from “sickness” to “well-being” it could increase the overall health of its insured population and decrease the resources... View Details
Keywords: Design Thinking; Behavior Change; Chronic Disease; Health Care; Health Care and Treatment; Design; Behavior; Change; Innovation and Management
Datar, Srikant M., Linda A. Cyr, and Caitlin N. Bowler. "Innovation at Insigne Health." Harvard Business School Case 118-042, June 2018. (Revised November 2018.)
- June, 2021
- Article
Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
By: Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden and Michael Luca
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant... View Details
Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
Glaeser, Edward L., Ginger Zhe Jin, Benjamin T. Leyden, and Michael Luca. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Journal of Regional Science 61, no. 4 (June, 2021): 696–709.
- February 2024
- Teaching Note
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
- 2025
- Working Paper
Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha
By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
- 2008
- Report
Survey Questionnaire on Environmental Management Practices: Summary of Results by Industry and Practices
By: Magali Delmas and Michael W. Toffel
This document provides a summary of the results of a survey on Environmental Management Practices (EMP) conducted by the University of California at Santa Barbara during October and November 2003. The survey was sent to 3255 facilities in 8 industrial sectors: pulp,... View Details
Keywords: Economic Sectors; Surveys; Management Practices and Processes; Corporate Social Responsibility and Impact; Business and Government Relations; Environmental Sustainability; Non-Governmental Organizations
Delmas, Magali, and Michael W. Toffel. "Survey Questionnaire on Environmental Management Practices: Summary of Results by Industry and Practices." Report, 2008. (2008. University of California, Institute for Social, Behavioral, and Economic Research.)
- 2012
- Article
Evidence for the Pinocchio Effect: Linguistic Differences Between Lies, Deception by Omissions, and Truths
By: Lyn M. Van Swol, Michael T. Braun and Deepak Malhotra
The study used Linguistic Inquiry and Word Count and Coh-Metrix software to examine linguistic differences with deception in an ultimatum game. In the game, the Allocator was given an amount of money to divide with the Receiver. The Receiver did not know the precise... View Details
Van Swol, Lyn M., Michael T. Braun, and Deepak Malhotra. "Evidence for the Pinocchio Effect: Linguistic Differences Between Lies, Deception by Omissions, and Truths." Discourse Processes 49, no. 2 (2012): 79–106.
- June 30, 2020
- Article
Scaling Up Behavioral Science Interventions in Online Education
By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley
Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details
Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement
Kizilcec, Rene F., Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams, and Dustin Tingley. "Scaling Up Behavioral Science Interventions in Online Education." Proceedings of the National Academy of Sciences 117, no. 26 (June 30, 2020).
- 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).
- 2023
- Working Paper
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 Tech; Decarbonization; Carbon Emissions; Learning By Doing; Environment; Energy; Environmental Management; Sustainable Cities; Price; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Transportation Industry; Europe; North America; South America; Africa; Asia
Glenk, Gunther, Philip Holler, and Stefan Reichelstein. "Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency." TRR 266 Accounting for Transparency Working Paper Series, No. 109, December 2022.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- March 2017
- Exercise
Designing Transformational Customer Experiences
By: Stefan Thomke
Anyone who has recently travelled, gone shopping, or tried to have a problem solved may have little recollection of the experience. Worse yet, some are frustrated by the lack of responsiveness or empathy that they encountered. The reality is that most customer... View Details
Keywords: Customer Experience; Exercise; Learning By Doing; LEGO; Storytelling; Customer Satisfaction; Design; Innovation and Management; Transformation; Service Delivery
Thomke, Stefan. "Designing Transformational Customer Experiences." Harvard Business School Exercise 617-051, March 2017.
- March 2021
- Article
Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic
Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to... View Details
Keywords: Team Work; Activities; Virtual Work; Digital Technologies; Groups and Teams; Health Pandemics; Internet and the Web; Adaptation
Whillans, Ashley V., Leslie Perlow, and Aurora Turek. "Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic." Information and Organization 31, no. 1 (March 2021).
- March–April 2017
- Article
What's the Value of a Like?: Social Media Endorsements Don't Work the Way You Might Think
By: Leslie John, Daniel Mochon, Oliver Emrich and Janet Schwartz
Brands spend billions of dollars a year on lavish efforts to establish and maintain a social media presence. But do those campaigns actually increase revenue? New research provides an answer to this question, which has vexed marketers ever since social media burst upon... View Details
Keywords: Social and Collaborative Networks; Consumer Behavior; Marketing Strategy; Digital Marketing; Social Media
John, Leslie, Daniel Mochon, Oliver Emrich, and Janet Schwartz. "What's the Value of a Like? Social Media Endorsements Don't Work the Way You Might Think." Harvard Business Review 95, no. 2 (March–April 2017): 108–115.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 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).
- July 2023
- Article
Managerial Quality and Productivity Dynamics
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document... View Details
Keywords: Productivity; Non-cognitive Skills; Learning By Doing; Ready-made Garments; Management; Management Practices and Processes; Management Skills; Performance Productivity; Fashion Industry; Manufacturing Industry; India
Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "Managerial Quality and Productivity Dynamics." Review of Economic Studies 90, no. 4 (July 2023): 1569–1607.
- 2008
- Article
Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization
By: Evan P. Apfelbaum, Kristin Pauker, Nalini Ambady, Samuel R. Sommers and Michael I. Norton
The present research identifies an anomaly in sociocognitive development, whereby younger children (8 and 9 years) outperform their older counterparts (10 and 11 years) in a basic categorization task in which the acknowledgment of racial difference facilitates... View Details
Apfelbaum, Evan P., Kristin Pauker, Nalini Ambady, Samuel R. Sommers, and Michael I. Norton. "Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization." Developmental Psychology 44, no. 5 (2008).
- 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.