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  • All HBS Web  (4,848)
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    • Research  (2,956)
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  • All HBS Web  (4,848)
    • People  (10)
    • News  (1,051)
    • Research  (2,956)
    • Events  (70)
    • Multimedia  (35)
  • Faculty Publications  (1,719)
← Page 18 of 4,848 Results →
  • May–June 2025
  • Article

Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online... View Details
Keywords: Algorithms; Marketplaces; Marketplace Matching; E-commerce; Demand and Consumers; Customer Focus and Relationships; Market Participation; Technology Adoption
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Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces." Manufacturing & Service Operations Management 27, no. 3 (May–June 2025): 917–934.
  • August 2018 (Revised September 2018)
  • Case

Predicting Purchasing Behavior at PriceMart (A)

By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
  • 2025
  • Working Paper

Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online... View Details
Keywords: Algorithms; E-commerce; Sales; Digital Marketing; Internet and the Web; Customer Satisfaction
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Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces." Working Paper, 2025.
  • 19 Oct 2016
  • News

Science shows Wikipedia is the best part of the Internet

  • 01 Feb 2002
  • News

As the Future Catches You

Life Science Project at HBS, believes that the future will be defined by the genomic revolution and that world history today is at a fundamental turning point. Combined with advances View Details
Keywords: life sciences; Scientific Research and Development Services
  • June 2022 (Revised January 2025)
  • Technical Note

Causal Inference

By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
  • Article

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
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Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
  • September 2013 (Revised November 2015)
  • Case

Living Proof: Are We a Technology Company or a Beauty Company?

By: Willy Shih

Jon Flint came up with the idea of a science-based beauty company while talking with his hairdresser about the problems with typical hair and skin care products. Together with a small team that included Professor Robert Langer of MIT, he committed to assemble a team... View Details

Keywords: Hair Care; Personal Care; Science-based; R&D; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Marketing; Marketing Strategy; Product Marketing; Product Positioning; Science-Based Business; Business Strategy; Commercialization; Corporate Strategy; Technology Platform; Expansion; Beauty and Cosmetics Industry; United States; Boston; Cambridge
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Shih, Willy. "Living Proof: Are We a Technology Company or a Beauty Company?" Harvard Business School Case 614-013, September 2013. (Revised November 2015.)
  • April 2023
  • Technical Note

An Art & A Science: How to Apply Design Thinking to Data Science Challenges

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Keywords: Decision Making; Framework; Analytics and Data Science
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Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
  • 25 Apr 2014
  • News

Bringing a new funding model to the life sciences industry

technique to treat brain aneurysms, and Spinal Modulation, a company with a new technique for blocking chronic pain. "In my lifetime, we will apply those insights in ways that will positively impact tens of millions of people," says... View Details
  • June 2005 (Revised July 2006)
  • Background Note

Note on the Convergence Between Genomics & Information Technology

By: David B. Yoffie, Dharmesh M Mehta and Rachel Sha
Focuses on the convergence between the genomics and semiconductor industries, in particular organ printing, DNA computing, biomolecular sensory networks, and DNA microarrays. Explains what this newly converged world looks like based on current research and findings in... View Details
Keywords: Genetics; Information Technology; Business Model; Disruptive Innovation; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry
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Yoffie, David B., Dharmesh M Mehta, and Rachel Sha. "Note on the Convergence Between Genomics & Information Technology." Harvard Business School Background Note 705-500, June 2005. (Revised July 2006.)
  • 25 Feb 2015
  • HBS Seminar

Beril Toktay, Scheller College of Business, Georgia Institute of Technology

  • 15 Sep 2010
  • Working Paper Summaries

From Bench to Board: Gender Differences in University Scientists’ Participation in Commercial Science

Keywords: by Waverly W. Ding, Fiona Murray & Toby E. Stuart; Biotechnology
  • May 2024 (Revised January 2025)
  • Technical Note

Education Technology: A Technical Note

By: Boris Groysberg
This note considers educational technology as it intersects with HR technology. View Details
Keywords: Edtech; HR; AI; Data Science; Competency and Skills; Talent and Talent Management; Human Resources; Personal Development and Career; Technology Industry; Technology Industry; United States
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Groysberg, Boris. "Education Technology: A Technical Note." Harvard Business School Technical Note 424-003, May 2024. (Revised January 2025.)
  • May 2018 (Revised June 2018)
  • Case

Cowen Inc.: Leveraging Data

By: Boris Groysberg, Sarah Abbott and Annelena Lobb
Cowen Inc.’s broker-dealer, Cowen and Company, LLC, boasted a number of analysts who had made prescient stock calls on the basis of creative data analysis. Now Cowen Inc. had opened a new subsidiary, Kyber, which would attempt to monetize new data science products.... View Details
Keywords: Data Science; Equity Research; Research Analysts; Investment; Analytics and Data Science; Equity; Research; Analysis; Competitive Strategy
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Groysberg, Boris, Sarah Abbott, and Annelena Lobb. "Cowen Inc.: Leveraging Data." Harvard Business School Case 418-035, May 2018. (Revised June 2018.)
  • 17 Dec 2015
  • News

Applying Strategy Concepts In Innovative Ways Through Technology

Casadesus-Masanell, Herman C. Krannert Professor of Business Administration, and Gaston Llanes, associate professor at the School of Business of the Catholic University of Chile, with help from HBS’s Educational View Details
  • Article

Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions

By: Gautam Ahuja and Curba Morris Lampert
We present a model that explains how established firms create breakthrough inventions. We identify three organizational pathologies that inhibit breakthrough inventions: the familiarity trap—favoring the familiar; the maturity trap—favoring the mature;... View Details
Keywords: Radical Innovation; Organizational Learning; Technology; Strategy; Corporate Entrepreneurship; Business Processes; Innovation and Invention; Chemical Industry
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Ahuja, Gautam, and Curba Morris Lampert. "Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions." Special Issue on Strategic Entrepreneurship: Entrepreneurial Strategies for Wealth Creation. Strategic Management Journal 22, nos. 6-7 (June–July 2001): 521–543.
  • Article

Regulatory, Legal, and Market Aspects of Smart Wearables for Cardiac Monitoring

By: Jan Benedikt Brönneke, Jennifer Müller, Konstantinos Mouratis, Julia Hagen and Ariel Dora Stern
In the area of cardiac monitoring, the use of digitally driven technologies is on the rise. While the development of medical products is advancing rapidly, allowing for new use-cases in cardiac monitoring and other areas, regulatory and legal requirements that govern... View Details
Keywords: Wearables; Regulatory Changes; Medical Technology; Medical Devices; Market Access; Market Entry and Exit; Information Technology; Health Care and Treatment; Governing Rules, Regulations, and Reforms; United States; Germany; Belgium
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Brönneke, Jan Benedikt, Jennifer Müller, Konstantinos Mouratis, Julia Hagen, and Ariel Dora Stern. "Regulatory, Legal, and Market Aspects of Smart Wearables for Cardiac Monitoring." Art. 4937. Sensors 21, no. 14 (July 2021).
  • 2017
  • Chapter

Entrepreneurship, Policy, and the Geography of Wind Energy

By: Geoffrey Jones
This study examines the geography of the global wind energy industry before 2000. Between 1980 and 2000, the global generating capacity of wind power grew from 13 megawatts to 17,400 megawatts, but two-thirds of that capacity was in Denmark, Germany, Spain, and the... View Details
Keywords: Wind Power; Business And Government; Renewable Energy; Entrepreneurship; Geography; Business and Government Relations; Policy; Business History; Green Technology Industry; Green Technology Industry; Asia; Europe; United States
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Jones, Geoffrey. "Entrepreneurship, Policy, and the Geography of Wind Energy." Chap. 12 in Green Capitalism? Business and the Environment in the Twentieth Century, edited by Hartmut Berghoff and Adam Rome, 206–231. Hagley Perspectives on Business and Culture. Philadelphia, PA: University of Pennsylvania Press, 2017.
  • 29 May 2019
  • News

A Study of More Than 250 Platforms Reveals Why Most Fail

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