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Show Results For
- All HBS Web
(6,737)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
- 05 Feb 2021
- News
Why Is It So Hard to Become a Data-Driven Company?
- 01 Dec 2018
- News
Case Study: Your Data, Your Health
Ridhi Tariyal (MBA 2009) was in her early 30s when she grew curious about her chances of having children one day. “I didn’t want to wake up and learn that my opportunity had passed,” says Tariyal, then a genomics researcher with a... View Details
Keywords: Jen McFarland Flint
- 27 Jan 2016
- Research & Ideas
A Politician's Investment Portfolio Might Tip Off Corruption Potential
advantage of the company or engage in some type of misconduct. That could to an extent temper how much of a risk taker you want if you care about the misconduct part.” Companies already use data analytics to flag workers who are... View Details
Keywords: by Roberta Holland
- February 1994
- Background Note
Causal Inference
Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data. View Details
Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
- 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.)
- 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.
- 17 Feb 2003
- Research & Ideas
Rating Fund Managers by the Company They Keep
sets affected the way fund managers can be evaluated now and in the future? Can the data sets help fund managers make investment decisions? A: In... View Details
Keywords: by Ann Cullen
- 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
- 01 Sep 2014
- News
Ask the Expert: Byte-Testing Bitcoin
Crypto-currency expert Santiago Subotovsky (MBA 2009), principal at Emergence Capital Partners, fields alumni questions on Bitcoin—a digital, virtual, and unregulated currency that allows for anonymous transactions View Details
- 01 Mar 2010
- News
Analyze This
sole HBS graduates in the countries where they live. Using the mailing list as his guide, Emmons found that 22 countries and territories receive just one copy of the Bulletin, ranging from Armenia to Uzbekistan. He managed to track down... View Details
- 03 Apr 2019
- Book
Fintech's Game-Changing Opportunities for Small Business
removal business, you’re on your own. This must change. A more complicated set of regulatory issues is looming around big data and artificial intelligence. My book focuses... View Details
- 07 Mar 2007
- Research & Ideas
How Do You Value a “Free” Customer?
customer. These models completely ignore the interaction among customers. Consider a firm such as eBay that has two sets of customers—buyers and sellers. EBay generates almost all its profits from sellers... View Details
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- 29 Aug 2006
- First Look
First Look: August 29, 2006
Working PapersInternational Financial Integration and Entrepreneurship Authors:Laura Alfaro and Andrew Charlton Abstract We explore the relation between international financial integration View Details
Keywords: Sean Silverthorne
- 07 Feb 2018
- News
Athenahealth Taps Former GE CEO Jeff Immelt as Chairman
Photo via BostInno Photo via BostInno Former General Electric CEO Jeffrey Immelt (MBA 1982) has been tapped as the new chairman of athenahealth, the Massachusetts-based health care IT company founded by Jonathan Bush (MBA 1997). Bush, who serves as CEO, will stay on... View Details
- 16 Apr 2012
- Research & Ideas
The Inner Workings of Corporate Headquarters
e-mail data that is sitting on almost every company's servers, and it is inexpensive to extract," says Stuart. "All it involves is someone to write a relatively simple View Details
Keywords: by Michael Blanding
- 15 Jan 2008
- First Look
First Look: January 15, 2008
Diffusion Curves Authors:Diego Comin, Bart Hobijn, and Emilie Rovito Periodical:Journal of Technology Transfer (forthcoming) Abstract This paper documents the sources and measures of the cross-country... View Details
Keywords: Martha Lagace
- 03 Sep 2020
- Op-Ed
Why American Health Care Needs Its Own SEC
health care system could similarly gather and publish relevant data on health care prices and outcomes. Then corporations could see which clinicians, hospitals, insurers, View Details