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  • All HBS Web  (1,925)
    • News  (300)
    • Research  (1,292)
    • Events  (27)
    • Multimedia  (11)
  • Faculty Publications  (772)

Show Results For

  • All HBS Web  (1,925)
    • News  (300)
    • Research  (1,292)
    • Events  (27)
    • Multimedia  (11)
  • Faculty Publications  (772)
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  • Web

Electricity - Business & Environment

clean, resilient, and consumer-centric through the application of data science and behavioral economics, optimizing the system assets 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
Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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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.
  • 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
Keywords: Accounting; Analytics and Data Science; Management Analysis, Tools, and Techniques
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Martinez-Jerez, Francisco de Asis. Dataset for "MercadoLibre.com" (CW). Harvard Business School Spreadsheet Supplement 111-712, February 2011.
  • 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
  • Web

Faculty - Race, Gender & Equity

management and leadership in the school's MBA and Executive Education programs. He... Janice H. Hammond Jesse Philips Professor of Manufacturing Janice H. Hammond is the Jesse Philips Professor of... View Details
  • March–April 2022
  • Article

Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize

By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
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Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
  • 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
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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
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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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.
  • 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
Keywords: Healthcare; Healthcare Industry; Healthcare Innovation; Health Care and Treatment; Acquisition; Integration; Analytics and Data Science; Mergers and Acquisitions; Competitive Strategy; Health Industry; United States
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Herzlinger, Regina E., Jeet Guram, and Aanchal Raj. "Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers." Harvard Business School Case 316-026, September 2015. (Revised February 2023.)
  • 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
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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.)
  • 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
  • Web

Sustainable Investing Course | HBS Online

strategies, and techniques. The course content is well designed and helps investors get a basic understanding of what sustainable finance is, its challenges, the path forward, View Details
  • 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
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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
Keywords: Customer Relationship Management; Analysis; Analytics and Data Science; Marketing Strategy; Segmentation; Consumer Behavior; Travel Industry; United States
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Ascarza, Eva, and Ta-Wei Huang. "Travelogo: Understanding Customer Journeys." Harvard Business School Teaching Note 524-045, February 2024. (Revised February 2024.)
  • 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
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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.
  • 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
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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.)
  • 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
  • August 2004 (Revised September 2005)
  • Case

Canyon Ranch

By: Lynda M. Applegate and Gabriele Piccoli
How should Canyon Ranch leverage its uniqueness in the face of increasing competition and an entrenched customer definition of the firm? The firm is attempting to create demand for return visits and foster the customization and personalization of the Canyon Ranch... View Details
Keywords: Customer Relationship Management; Information Technology; Growth and Development Strategy; Competitive Strategy; Experience and Expertise; Analytics and Data Science; Customization and Personalization
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Applegate, Lynda M., and Gabriele Piccoli. "Canyon Ranch." Harvard Business School Case 805-027, August 2004. (Revised September 2005.)
  • December 1998
  • Case

Origins of National Income Accounting

By: David A. Moss and Joseph P Gownder
Set in the Great Depression, this case explores the origins of national income accounting in the United States. Highlights Senator La Follette's 1932 proposal for the federal government to begin collecting national income statistics. View Details
Keywords: Accounting; Financial Crisis; Analytics and Data Science; Mathematical Methods; United States
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Moss, David A., and Joseph P Gownder. "Origins of National Income Accounting." Harvard Business School Case 799-080, December 1998.
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