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Show Results For
- All HBS Web
(14,772)
- People (57)
- News (2,460)
- Research (9,860)
- Events (46)
- Multimedia (372)
- Faculty Publications (8,064)
- 17 Apr 2017
- HBS Case
This Turkish Debt Collector Is Customer-friendly
experience with a debt collector, it reduces the risk of regulatory scrutiny and may incline them more toward doing business with the bank again in the future. Lastly,... View Details
- 05 Sep 2012
- First Look
First Look: September 5
governments rely on honest reporting. Proof of honest intent is typically provided through signature at the end of the document, e.g., tax returns or insurance policy forms. Still, people sometimes cheat to... View Details
Keywords: Sean Silverthorne
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- 2022
- Working Paper
Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina
By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its... View Details
Keywords: COVID-19; Drug Treatment; Health Pandemics; Health Care and Treatment; Decision Making; Outcome or Result; Argentina
Calonico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina." NBER Working Paper Series, No. 30084, May 2022.
- 03 Oct 2018
- What Do You Think?
How Should Managers Deal with the Challenges of Building an Inclusive Workplace?
column about how best to foster a climate of inclusion in an organization. Dianne Jacobs made the case for inclusion succinctly when she said: “Those that manage diversity and inclusion well tend to manage... View Details
Keywords: by James Heskett
- 04 Feb 2022
- Blog Post
Energy and Cleantech: Career Advice from the Career & Professional Development Office
regulation. That goal had almost fully materialized when the recession caused my post-law school employer to freeze hiring and rescind offers. I had to pivot. Luckily, I landed at HBS in a role working with faculty to develop, research,... View Details
- 04 May 2015
- News
Alumni in Paris Connect Around a ‘Vision’ for the New HBS
(DBA 1974), president, Harvard Business School Club de France; and André H. François-Poncet (MBA 1984), a member of the Global Leaders Circle. Two inspiring new films – My HBS and The View Details
- 05 May 2015
- News
Alumni in London Connect Around a ‘Vision’ for the New HBS
HBS and The Case for the Future – highlighted the impact of the School and its faculty and alumni on View Details
- 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.)
- 2020
- Working Paper
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 US 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: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
- March 2010
- Article
Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research
By: Ian D. Gow, Daniel Taylor and Gaizka Ormazabal
We review and evaluate the methods commonly used in the accounting literature to correct for cross-sectional and time-series dependence. While much of the accounting literature studies settings in which variables are cross-sectionally and serially correlated, we find... View Details
Keywords: History; Cost of Capital; Activity Based Costing and Management; Performance Evaluation; Cost Accounting; Time Management; Research; Mathematical Methods; Equity; Borrowing and Debt; Accounting Audits; Accounting Industry
Gow, Ian D., Daniel Taylor, and Gaizka Ormazabal. "Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research." Accounting Review 85, no. 2 (March 2010): 483–512.
- November 2007
- Background Note
Bayesian Estimation & Black-Litterman
By: Joshua D. Coval and Erik Stafford
Describes a practical method for asset allocation that is more robust to estimation errors than the traditional implementation of mean-variance optimization with sample means and covariances. The Bayesian inspired Black-Litterman model is described after introducing... View Details
Coval, Joshua D., and Erik Stafford. "Bayesian Estimation & Black-Litterman." Harvard Business School Background Note 208-085, November 2007.
Willis M. Emmons
WILLIAM (WILLIS) EMMONS is Senior Lecturer and Director of the C. Roland Christensen Center for Teaching and Learning at Harvard Business School, a position he has held since 2004. As Director of the Christensen Center, Emmons oversees programs to... View Details
- 03 Apr 2018
- Blog Post
Carol Fishman Cohen (MBA 1985) On Getting Back into the Workforce
work at Bain Capital after 11 years out of the full-time workforce is documented in a Harvard Business School case study. I am the author of the... View Details
- Teaching
Overview
Michaela teaches management, healthcare and research methods courses across the undergraduate, master and executive levels. Her recent courses include organizational behavior, negotiation, research in health policy, and social entrepreneurship. View Details
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (C)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (C)." Harvard Business School Exercise 301-028, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (E)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (E)." Harvard Business School Exercise 301-030, October 2000. (Revised December 2000.)
- September 2021
- Article
Oh's 8-Universality Criterion Is Unique
Using the methods developed for the proof that the 2-universality criterion is unique, we partially characterize criteria for the n-universality of positive-definite integer-matrix quadratic forms. We then obtain the uniqueness of Oh’s 8-universality criterion as an... View Details
Keywords: N-universal Lattice; 8-universal Lattice; Universality Criteria; Quadratic Forms; Additively Indecomposable; Mathematical Methods
Kominers, Scott Duke. "Oh's 8-Universality Criterion Is Unique." Kyungpook Mathematical Journal 61, no. 3 (September 2021): 455–459.
- 24 Feb 2020
- News
What happened when we tried to beat open-office distractions
- April 12, 2022
- Article
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)