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(1,465)
- News (184)
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- Faculty Publications (643)
Show Results For
- All HBS Web
(1,465)
- News (184)
- Research (1,041)
- Events (18)
- Multimedia (7)
- Faculty Publications (643)
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which... View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- Career Coach
Alan Braly
strategies, and product roadmaps in areas of innovation with a current emphasis on oncology data science and data products. Along the way, he has been a leader, manager,... View Details
- October 2021 (Revised February 2022)
- Case
Newsweek: Driving a Digital First Strategy
By: Lynda M. Applegate and Suraj Srinivasan
The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details
Keywords: Transformation; Strategy; Internet and the Web; Analytics and Data Science; Performance Evaluation; Partners and Partnerships
Applegate, Lynda M., and Suraj Srinivasan. "Newsweek: Driving a Digital First Strategy." Harvard Business School Case 822-052, October 2021. (Revised February 2022.)
- 2012
- Article
Exploring Re-Identification Risks in Public Domains
By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
- 29 Nov 2016
- HBS Seminar
Aneeta Rattan, London Business School
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 13 Apr 2023
- HBS Seminar
Bhaven Sampat, Columbia
- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
- 2017
- Chapter
Venture Capital Data: Opportunities and Challenges
By: Steven N. Kaplan and Josh Lerner
This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details
Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Chap. 10 in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges. Vol. 75, edited by John Haltiwanger, Erik Hurst, Javier Miranda, and Antoinette Schoar. Studies in Income and Wealth (NBER). Chicago: University of Chicago Press, 2017.
- March 2016 (Revised April 2019)
- Technical Note
ESG Metrics: Reshaping Capitalism?
By: George Serafeim
In the past twenty-five years, the world had seen an exponential growth in the number of companies reporting environmental, social and governance (ESG) data. Investor interest in ESG data also grew rapidly. A growing belief that increasing levels of social inequality... View Details
Keywords: Capitalism; Sustainability; Accountability; Corporate Social Responsibility; Responsibilities To Society; Environment; Social Impact Investment; ESG; Corporate Social Responsibility and Impact; Environmental Sustainability; Measurement and Metrics; Integrated Corporate Reporting; Corporate Accountability; Accounting; Economic Systems
Serafeim, George, and Jody Grewal. "ESG Metrics: Reshaping Capitalism?" Harvard Business School Technical Note 116-037, March 2016. (Revised April 2019.)
- 2016
- Working Paper
Venture Capital Data: Opportunities and Challenges
By: Steven N. Kaplan and Josh Lerner
This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details
Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Harvard Business School Working Paper, No. 17-012, August 2016. (Forthcoming in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges.)
- 19 Oct 2015
- Research & Ideas
Business Research that Makes for Smarter Public Policy
originated. “We are using data from regulators, writing studies, but seldom going back to the regulators to say, ‘This is what we learned,’” says Harvard Business School Professor Michael W. Toffel, whose research examines companies’... View Details
Keywords: by Michael Blanding
- 10 Apr 2007
- First Look
First Look: April 10, 2007
conclude that stars add more value than they capture. I discuss implications for managers in the motion picture industry. Brokerage, Boundary Spanning, and Leadership in Open Innovation Communities Authors:Lee Fleming and David M. Waguespack Periodical:Organization... View Details
Keywords: Martha Lagace
- 09 May 2018
- Research & Ideas
A Simple Way for Restaurant Inspectors to Improve Food Safety
fix those problems. The researchers studied a sampling of data from Hazel Analytics, which gathers food safety inspections from local governments across the United States. The sample included information on 12,017 inspections by 86... View Details
- 28 Aug 2007
- First Look
First Look: August 28, 2007
large economies for the 2001 to 2005 period. We investigate reasons why Chinese firms are more diversified than companies elsewhere. Design/methodology/approach—We collect data on the number of business segments in which publicly traded... View Details
Keywords: Martha Lagace
- 2020
- Book
Experimentation Works: The Surprising Power of Business Experiments
By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
Thomke, Stefan. Experimentation Works: The Surprising Power of Business Experiments. Boston, MA: Harvard Business Review Press, 2020.
- February 2006 (Revised March 2008)
- Case
ChoicePoint (A)
By: Lynn S. Paine and Zack Phillips
The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection... View Details
Keywords: Business Model; Safety; Rights; Analytics and Data Science; Ethics; Information Technology; Information Industry; United States
Paine, Lynn S., and Zack Phillips. "ChoicePoint (A)." Harvard Business School Case 306-001, February 2006. (Revised March 2008.)
- July 2002 (Revised June 2003)
- Case
Microsoft Financial History
Contains background financial data on Microsoft as of mid-2001. View Details
Sahlman, William A. "Microsoft Financial History." Harvard Business School Case 803-018, July 2002. (Revised June 2003.)
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
- February 1985 (Revised August 1985)
- Supplement
Computervision-Japan (C)
Presents sales data for 1983 and 1984. View Details
Moriarty, Rowland T., Jr. "Computervision-Japan (C)." Harvard Business School Supplement 585-157, February 1985. (Revised August 1985.)