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(1,917)
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- Faculty Publications (763)
Show Results For
- All HBS Web
(1,917)
- News (294)
- Research (1,280)
- Events (24)
- Multimedia (10)
- Faculty Publications (763)
- 04 Nov 2015
- What Do You Think?
Why Does Gender Diversity Improve Financial Performance?
included those that “women have greater analytical skills and coordinate activities with much (greater) ease than men while upholding company values and strategy” (Mathews... View Details
Keywords: by James Heskett
- 09 Jul 2019
- Blog Post
Solving the Complexities of the Biotechnology Industry
Azita Sharif (MBA 2000) is the Founder and Chief Executive Officer of DSI- Precision Medicine Biobanking & BINDS (Bio-Informatics Network for Discovery Science). Her goal is to positively impact human View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- Web
Electricity - Business & Environment
clean, resilient, and consumer-centric through the application of data science and behavioral economics, optimizing the system assets View Details
- February 2011
- Supplement
Dataset for "MercadoLibre.com" (CW)
By: Francisco de Asis Martinez-Jerez
Datasets of listings and powersellers transactions to perform analysis for the case. View Details
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- Research Summary
Overview
The overarching goal of my research is to produce works that are influential and informative to both academics and practitioners in the field of operations management. To accomplish this, I collaborate with industry partners who provide knowledge about their field,... View Details
- February 2021
- Article
Testing the Waters: Behavior across Participant Pools
By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 01 Mar 2018
- News
Realizing The Potential Of One Harvard
executives—including those who already possess an MBA or advanced business degree—a foundational understanding of quantitative analysis and data science. “Data and View Details
- September 2015 (Revised February 2023)
- Case
Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers
By: Regina E. Herzlinger, Jeet Guram and Aanchal Raj
Case describes acquisition of Change Healthcare, which provides health care cost and quality information, by Emdeon, a health information exchange, and discusses health care transparency. Emdeon is a billion-dollar company that has grown through acquisitions; at its... View Details
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
- 01 Mar 2015
- News
The Next Big Swing
players. But as much as the Toronto native loved hockey, baseball offered an even greater data set—perfect for the burgeoning math whiz. “I was interested in sabermetrics before it was even a word,” says Tippett (MBA 1985). Today, it’s a... View Details
Keywords: Andrew Clark; Performing Arts, Spectator Sports, and Related Industries; Performing Arts, Spectator Sports, and Related Industries; Performing Arts, Spectator Sports, and Related Industries; Performing Arts, Spectator Sports, and Related Industries; Performing Arts, Spectator Sports, and Related Industries; Performing Arts, Spectator Sports, and Related Industries
- March 2015 (Revised June 2015)
- Case
Medalogix
By: Richard G. Hamermesh and Matthew G. Preble
This case examines an exciting new approach to health care that will help care providers identify when hospice services are the appropriate type of care for patients. The company, Medalogix, already has a product on the market that uses a proprietary algorithm to... View Details
Keywords: Health Care; Health Care Entrepreneurship; Health Care Services; Implementing Strategy; Dissemination; Innovation; Market Selection; Health; Health Care and Treatment; Analytics and Data Science; Marketing Strategy; Innovation and Management; Innovation Strategy; Health Industry; United States
Hamermesh, Richard G., and Matthew G. Preble. "Medalogix." Harvard Business School Case 815-116, March 2015. (Revised June 2015.)
- February 2024 (Revised February 2024)
- Teaching Note
Travelogo: Understanding Customer Journeys
By: Eva Ascarza and Ta-Wei Huang
Teaching Note for HBS Exercise 524-044. The exercise aims to teach students about 1) Customer Segmentation; and 2) constructing buying personas, 3) Get actionable insights from clickstream data. View Details
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- Web
2024 Reunion Presentations - Alumni
– Less Info This article explores the impact of social media and smartphones on youth, highlighting parental concerns about increasing anxiety and depression. Data shows high... View Details
- 07 Aug 2000
- Research & Ideas
The Business of Biotech
labeling of bioengineered foods. Another source of controversy and confusion is the patenting of genes and access to data from the human genome. "As a company, we believe... View Details
- 09 Sep 2013
- Lessons from the Classroom
Teaching Climate Change to Skeptics
A few years ago, Joseph B. Lassiter traveled to San Francisco, Houston, and New York to hold discussions with Harvard alumni on the topic of business and the environment. Each time, he surveyed the audience about the touchy subject of climate change and how society... View Details
Keywords: by Carmen Nobel
- January 1998 (Revised February 1998)
- Case
Timberjack Parts: Packaged Software Selection Project
By: F. Warren McFarlan, Mark Keil and Darryl S. Romanow
This case provides a realistic, current, and detailed view of software procurement in an international business environment where the competition in enterprise-wide software solutions is growing. Focuses on the selection of packaged software to serve multiple sites... View Details
Keywords: Applications and Software; Information Technology; Analytics and Data Science; Multinational Firms and Management; Operations; Management Practices and Processes; Computer Industry; Information Technology Industry
McFarlan, F. Warren, Mark Keil, and Darryl S. Romanow. "Timberjack Parts: Packaged Software Selection Project." Harvard Business School Case 398-085, January 1998. (Revised February 1998.)