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Show Results For
- All HBS Web
(10,001)
- People (46)
- News (2,486)
- Research (5,131)
- Events (63)
- Multimedia (119)
- Faculty Publications (3,365)
- May 2024
- Article
Tepid Uptake of Digital Health Technologies in Clinical Trials by Pharmaceutical and Medical Device Firms
By: Caroline Marra and Ariel D. Stern
Digital health technologies (DHTs) can enable more patient-centric therapeutic development by generating evidence that captures how patients feel and function, enabling decentralized trial designs that increase participant inclusivity and convenience, and collecting... View Details
Keywords: Health Care and Treatment; Technological Innovation; Product Development; Health Testing and Trials; Governing Rules, Regulations, and Reforms
Marra, Caroline, and Ariel D. Stern. "Tepid Uptake of Digital Health Technologies in Clinical Trials by Pharmaceutical and Medical Device Firms." Clinical Pharmacology & Therapeutics 115, no. 5 (May 2024): 988–992.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- Article
Health App Policy: International Comparison of Nine Countries' Approaches
By: Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens and David W. Bates
An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of... View Details
Keywords: Digital Health; Apps; Health Care and Treatment; Internet and the Web; Policy; Global Range; Applications and Software
Essén, Anna, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens, and David W. Bates. "Health App Policy: International Comparison of Nine Countries' Approaches." npj Digital Medicine 5, no. 31 (2022).
- 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.
- November 2021
- Case
Steve Schwarzman on Dealmaking I: “Becoming a ‘Friend of the Situation’” (A)
By: James K. Sebenius and Alex Green
Blackstone Co-founder, Chairman, and CEO Stephen A. Schwarzman, whom Forbes has called “Wall Street’s Greatest Dealmaker,” played a major role in the negotiations that transformed Blackstone from a fragile startup in 1985 with $400,000 in capital into a dominant... View Details
- 2021
- Working Paper
Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race
By: Iris Bohnet, Oliver P. Hauser and Ariella Kristal
Performance reviews in firms are common but controversial. Managers’ subjective appraisals of their employees’ performance and employees’ self-evaluations might be affected by demographic characteristics, interact with each other as self-evaluations are typically... View Details
Bohnet, Iris, Oliver P. Hauser, and Ariella Kristal. "Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race." HKS Faculty Research Working Paper Series, No. RWP21-016, May 2021.
- Article
The Inpatient Discharge Lounge as a Potential Mechanism to Mitigate Emergency Department Boarding and Crowding
By: Brian Franklin, Sharif Vakili, Robert S. Huckman, Sarah Hosein, Nicholas Falk, Katherine Cheng, Maria Murray, Sheila Harris, Charles A. Morris and Eric Goralnick
Delayed access to inpatient beds for admitted patients contributes significantly to emergency department (ED) boarding and crowding, which have been associated with deleterious patient safety effects. To expedite inpatient bed availability, some hospitals have... View Details
Keywords: Health Care Delivery; Emergency Room; Operations Improvement; Operations Management; Health Care and Treatment; Service Delivery; Operations; Management; Performance Improvement; Service Operations
Franklin, Brian, Sharif Vakili, Robert S. Huckman, Sarah Hosein, Nicholas Falk, Katherine Cheng, Maria Murray, Sheila Harris, Charles A. Morris, and Eric Goralnick. "The Inpatient Discharge Lounge as a Potential Mechanism to Mitigate Emergency Department Boarding and Crowding." Annals of Emergency Medicine 75, no. 6 (June 2020): 704–714.
- October 2007
- Journal Article
Psychosocial Development and Leader Performance of Military Officer Cadets
By: Scott Snook and Paul T. Bartone
Efforts to educate and develop future military officers aim to produce highly competent, ethical and effective leaders to serve the nation. But while there is general agreement about desired outcomes, the underlying developmental processes associated with these... View Details
Keywords: Forecasting and Prediction; Leadership Development; Performance Evaluation; Personal Development and Career; Social Psychology
Snook, Scott, and Paul T. Bartone. "Psychosocial Development and Leader Performance of Military Officer Cadets." Leadership Quarterly 18, no. 5 (October 2007): 490–504.
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
- Web
Augustine Heard & Co.: Building a Family Business - A Chronicle of the China Trade
Home Site map Map / Directions Search: General Information HBS Home About Annual Report Campus Commencement Dean Nohria Employment Give News New Construction Academic Programs Doctoral Programs Executive Education MBA Summer Venture in... View Details
- 02 Oct 2012
- First Look
First Look: October 2
boundaries of firms. And it also studies the development of British industrial science in universities and efforts to promote innovation through the formation of industry clusters. Overall, the evidence supports the traditional story of British failure in View Details
Keywords: Sean Silverthorne
- 13 Nov 2017
- Blog Post
5 Worries I Had about Applying to HBS
wouldn’t be able to afford an MBA How would I pay for the MBA? What would I do about fees and living expenses? I learned more about financial aid at HBS and realized it’s hard to find anyone who gets in and doesn’t attend because they cannot afford it. HBS offers very... View Details
- 10 Nov 2021
- Blog Post
Veterans in the MBA Program: Profiles of Service
passed, she wondered if military service could be how she could serve her country—as a first generation American, she had always wanted to give back to the country that granted her family asylum when they fled Cuba in the 1959 communist... View Details
- 22 Dec 2022
- Blog Post
TOP 10 MBA VOICES BLOGS OF 2022
problem in 2016 was autonomous vehicles and I was fortunate enough to join Ford as a Machine Learning Researcher. I wrote software, generated intellectual property, and talked about autonomous vehicles in international industry... View Details
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- September 2024
- Case
Topaz: Navigating Governance, Legacy, and Change
By: Christina R. Wing and Carla Larangeira
Since its founding in 2011, the Garza Sada brothers and their father positioned Topaz among leading family offices in Monterrey, Mexico, with several assets under management. Topaz aspired to have a transformative impact across multiple Mexican industries. An industry... View Details
- September 30, 2019
- Article
Climate Change and Our Emerging Cultural Shift
By: Andrew J. Hoffman
Today, we have made climate change trivial by making its solutions easy, looking for simple answers that are palatable, generally framing it in the language of commerce. In the long run, it won’t work. There is no technological or political silver bullet to solving our... View Details
Hoffman, Andrew J. "Climate Change and Our Emerging Cultural Shift." Behavioral Scientist (September 30, 2019).
- June 2021
- Case
HelloSelf: Launch
By: John R. Wells and Benjamin Weinstock
In April 2021, Charles Wells, founder and CEO of HelloSelf was reflecting on the company’s progress since it launched two years earlier. HelloSelf’s goal was to help the mentally ill recover and those who were mentally fit to stay well and feel even better. To do this,... View Details
Keywords: Mental Health; Health Care and Treatment; Internet and the Web; Growth and Development Strategy; Great Britain
Wells, John R., and Benjamin Weinstock. "HelloSelf: Launch." Harvard Business School Case 721-432, June 2021.
- 2022
- Chapter
Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization
By: Rawi Abdelal
Every order is a bargain with disappointments and trade-offs. Thus is every order an unstable equilibrium. The first era of globalization, circa 1870–1914, created both international prosperity and domestic instability. That instability was fully realized during the... View Details
Keywords: Globalization; Policy; Economic Systems; Balance and Stability; Europe; European Union; United States
Abdelal, Rawi. "Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization." In The Downfall of the American Order? edited by Peter J. Katzenstein and Jonathan Kirshner, 105–123. Ithaca, NY: Cornell University Press, 2022.