Filter Results:
(697)
Show Results For
- All HBS Web
(697)
- People (1)
- News (82)
- Research (555)
- Events (2)
- Multimedia (1)
- Faculty Publications (146)
Show Results For
- All HBS Web
(697)
- People (1)
- News (82)
- Research (555)
- Events (2)
- Multimedia (1)
- Faculty Publications (146)
- July–September 2023
- Article
A Systematic Review of Respect Between Acute Care Nurses and Physicians
By: Derrick P. Bransby, Anna T. Mayo, Matthew A. Cronin, Katie Park and Christina Yuan
Background: Interprofessional collaboration between nurses and physicians has become an essential part of patient care, which, when lacking, can lead to well-known challenges. One possible explanation for ineffective nurse–physician collaboration is a lack of... View Details
Keywords: Relationships; Status and Position; Cooperation; Attitudes; Behavior; Outcome or Result; Health Industry
Bransby, Derrick P., Anna T. Mayo, Matthew A. Cronin, Katie Park, and Christina Yuan. "A Systematic Review of Respect Between Acute Care Nurses and Physicians." Health Care Management Review 48, no. 3 (July–September 2023): 237–248.
- March 2016 (Revised April 2019)
- Technical Note
ESG Metrics: Reshaping Capitalism?
By: George Serafeim
In the past twenty-five years, the world had seen an exponential growth in the number of companies reporting environmental, social and governance (ESG) data. Investor interest in ESG data also grew rapidly. A growing belief that increasing levels of social inequality... View Details
Keywords: Capitalism; Sustainability; Accountability; Corporate Social Responsibility; Responsibilities To Society; Environment; Social Impact Investment; ESG; Corporate Social Responsibility and Impact; Environmental Sustainability; Measurement and Metrics; Integrated Corporate Reporting; Corporate Accountability; Accounting; Economic Systems
Serafeim, George, and Jody Grewal. "ESG Metrics: Reshaping Capitalism?" Harvard Business School Technical Note 116-037, March 2016. (Revised April 2019.)
- 2021
- Working Paper
The Great Unequalizer: Initial Health Effects of COVID-19 in the United States
By: Marcella Alsan, Amitabh Chandra and Kosali I. Simon
We measure inequities from the COVID-19 pandemic on mortality and hospitalizations in the United States during the early months of the outbreak. We discuss challenges in measuring health outcomes and health inequality, some of which are specific to COVID-19 and others... View Details
Alsan, Marcella, Amitabh Chandra, and Kosali I. Simon. "The Great Unequalizer: Initial Health Effects of COVID-19 in the United States." NBER Working Paper Series, No. 28958, June 2021.
- 07 Mar 2016
- HBS Seminar
Scott Stern, MIT Sloan School of Management
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact... View Details
- Research Summary
Markets, Information, and Efficiency
Professor Meulbroeks market efficiency research focuses on the closely related questions of whether markets properly reflect information that affects a firm's value, and in turn how stock prices influence managerial behavior. In this area, she studies why some firms... View Details
- 12 Oct 2017
- Blog Post
Why I Spent this Summer Coding
The summer between RC and EC year represents a great opportunity for risk-free exploration. Encouraged by our outcome at the New Venture Competition and the funding I would receive as a Rock Summer Fellow, I forwent a business internship... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 08 Aug 2017
- First Look
First Look at Research and Ideas, August 8, 2017
subsumed by the other three. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=53024 August 2017 Obstetrics & Gynecology Relationship Between Labor and Delivery Unit Management Practices and Maternal Outcomes By:... View Details
Keywords: Sean Silverthorne
- 29 Sep 2008
- Research & Ideas
Financial Crisis Caution Urged by Faculty Panel
law to federal deposit insurance. "If you look across these policies, one thing that becomes quite clear is that anytime you shift a risk around, you have to be concerned about the potential for moral hazard," said Moss.... View Details
- 07 Jul 2009
- First Look
First Look: July 7
driven at least partly by career concerns. Download the paper: http://www.hbs.edu/research/pdf/09-014.pdf Policy Bundling to Overcome Loss Aversion: A Method for Improving Legislative Outcomes Authors:Katherine L. Milkman, Mary Carol... View Details
Keywords: Martha Lagace
- July 2021
- Article
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- January 2014
- Article
Self-reported Ethical Risk Taking Tendencies Predict Actual Dishonesty
By: Liora Zimerman, Shaul Shalvi and Yoella Bereby-Meyer
Are people honest about the extent to which they engage in unethical behaviors? We report an experiment examining the relation between self-reported risky unethical tendencies and actual dishonest behavior. Participants’ self-reported risk taking tendencies were... View Details
Keywords: DOSPERT; Risk Taking; Honesty; Lying; Dishonesty; Unethical Behavior; Moral Sensibility; Cognition and Thinking
Zimerman, Liora, Shaul Shalvi, and Yoella Bereby-Meyer. "Self-reported Ethical Risk Taking Tendencies Predict Actual Dishonesty." Judgment and Decision Making 9, no. 1 (January 2014): 58–64.
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for... View Details
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 22 Apr 2014
- First Look
First Look: April 22
Studies Smart Money? The Effect of Education on Financial Outcomes By: Cole, Shawn A., Anna Paulson, and Gauri Kartini Shastry Abstract—Household financial decisions are important for household welfare, economic growth, and financial... View Details
Keywords: Sean Silverthorne
- August 2024
- Case
Scaling Seven Starling
By: Ryan W. Buell and Carin-Isabel Knoop
Seven Starling, a maternal mental health startup, is scaling its digital clinic model. Seven Starling addresses perinatal mental health challenges by providing licensed therapists, peer support, and medication to mothers across five states, with a hybrid care model... View Details
Buell, Ryan W., and Carin-Isabel Knoop. "Scaling Seven Starling." Harvard Business School Case 625-046, August 2024.
- April–May 2017
- Article
Career Concerns of Banking Analysts
By: Joanne Horton, George Serafeim and Shan Wu
We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
Keywords: Sell-side Analysts; Analyst Forecasts; Analysts; Investment Recommendations; Career Advancement; Career Management; Labor Mobility; Labor Market; Prejudice and Bias; Personal Development and Career; Forecasting and Prediction; Investment Banking
Horton, Joanne, George Serafeim, and Shan Wu. "Career Concerns of Banking Analysts." Journal of Accounting & Economics 63, nos. 2-3 (April–May 2017): 231–252.
- 2010
- Article
I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity
By: Julian Zlatev
What characteristics of an individual signal trustworthiness to other people? I propose that individuals who care about contentious social issues signal to observers that they have integrity and thus can be trusted. Critically, this signal conveys trustworthiness... View Details
Zlatev, Julian. "I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity." Psychological Science 30, no. 6 (June 2019): 880–892.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).