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Show Results For
- All HBS Web
(977)
- News (131)
- Research (724)
- Events (8)
- Multimedia (4)
- Faculty Publications (557)
- 20 Oct 2011
- Research & Ideas
Getting the Marketing Mix Right
to the effectiveness of their marketing instruments” Thomas J. Steenburgh, an associate professor in the Marketing Unit at Harvard Business School, has developed a new analytical tool that more accurately measures the effectiveness of... View Details
Keywords: by Dina Gerdeman
- 23 May 2012
- Research & Ideas
Five Ways to Make Your Company More Innovative
data-driven, fact-based, analytical decision-making. The problem is that data are only available about the past. If you're trying to be innovative, and you have this data-driven mindset, you can't go... View Details
- 08 Aug 2017
- First Look
First Look at Research and Ideas, August 8, 2017
the analytical tools Kentucky officials felt they needed to prepare for the Kentucky Derby, their biggest event of the year. What would she do about that? Eisnor had a challenge on her hands in Kentucky. And also in Jakarta. And Los... View Details
Keywords: Sean Silverthorne
- 03 May 2010
- Research & Ideas
What Is the Future of MBA Education?
initial interviews, however, we kept hearing the same concern: "Thank goodness you folks are doing this. All of us collectively need to take a hard look at the state of business education." Srikant Datar: With that prompting, we expanded our efforts. We collected... View Details
- August 2023
- Case
Beamery: Using Skills and AI to Modernize HR
By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
Unicorn human relationships startup Beamery evaluates it's growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry View Details
Keywords: Acquisition; Business Growth and Maturation; Business Startups; Competency and Skills; Experience and Expertise; Talent and Talent Management; Customers; Nationality; Learning; Entrepreneurship; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Applications and Software; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Job Design and Levels; Employment; Human Capital; Europe; United Kingdom; United States
Groysberg, Boris, Alexis Lefort, Susan Pinckney, and Carolina Bartunek. "Beamery: Using Skills and AI to Modernize HR." Harvard Business School Case 424-004, August 2023.
- 19 Sep 2016
- Research & Ideas
Why Isn't Business Research More Relevant to Business Practitioners?
managers and policymakers whose actions we study.” The consequence of the lack of relevant research is that the business world—and the rest of the world, for that matter—is losing out on some serious brainpower and analytical reason.... View Details
- 15 Jun 2007
- Research & Ideas
Remembering Alfred Chandler
decade, piecing together what he called "the story"—the history of business. He accumulated vast amounts of data on hundreds of companies. In draft after draft, he molded these data into an... View Details
Keywords: by Sean Silverthorne
- Web
Entrepreneurial Management Awards & Honors - Faculty & Research
Second Place in the 2024 Strategic Management Society Best Conference Paper Prize Competition for “The Uneven Impact of Generative AI on Entrepreneurial Performance” with Nicholas Otis, Rowan Clarke, Solène Delecourt, and David Holtz. Rembrand M. Koning : Winner of the... View Details
- 01 Feb 2002
- News
It's academic. (Not!)
broadened to include management dynamics in entrepreneurial and venture capital firms. Despite attention from the media, relatively little hard information exists on these companies; Wasserman is using data collected from two hundred... View Details
- 01 Mar 2015
- News
The Next Big Swing
MLB Advanced Media’s new Statcast system provides measures for every play, arming analysts like Tippett with a wealth of new data. (Courtesy of MLB.com) Tom Tippett’s love of sports data began at age seven, when his mom bought him a... View Details
Keywords: Andrew Clark; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services
- 26 Jul 2018
- News
Running the Numbers
people to buy into a new vision or better way of doing things is my favorite kind of challenge.” Today, as CEO of the Kraft Analytics Group (KAGR), a Massachusetts-based tech-intensive company focused on View Details
Keywords: Deborah Blagg
- July 2024
- Technical Note
Introduction to SQL in Python
By: Michael Parzen and Jo Ellery
This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
Keywords: Analytics and Data Science
Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
- 2025
- Article
Difference-in-Differences Subset Scan
By: Will Stamey, Sriram Somanchi and Edward McFowland III
Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the treatment effect with respect to time or some observed covariate (usually... View Details
Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 31st (2025): 2656–2667.
- 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 data View Details
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- November 1996
- Article
Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets
By: C. I. Nass and Y. Moon
Nass, C. I., and Y. Moon. "Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets." Sociological Methods & Research 25, no. 2 (November 1996): 223–247.
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 01 Sep 2015
- News
Data-Driven Diligence
same way, he’d later learn through Moneyball, that baseball teams were using analytics to find undervalued players. The problem was, Coats needed data—lots of it. “I kept asking VCs and others in the industry, ‘Has anyone ever aggregated... View Details
Keywords: Francis Storrs
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.