Publications

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March 2010
Article

I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time

By: Katherine L. Milkman, Todd Rogers and Max Bazerman

How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details

Keywords: Time Management; Service Delivery; Internet and the Web; Decisions; Customers; Retail Industry

July 2006
Article

Exploring the Structure of Complex Software Designs: An Empirical Study of Open Source and Proprietary Code

By: Alan MacCormack, John Rusnak and Carliss Y. Baldwin

Keywords: Applications and Software; Design; Information; Internet and the Web

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Article

Paradise Lost (and Restored?): A Study of Psychological Safety over Time

By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson

Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details

Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry

29 Jun 2015
News

Study Suggests Google Harms Consumers by Skewing Search Results

1 Apr 2005 - 4 Apr 2005
Conference Presentation

Exploring the Structure of Complex Software Designs: An Empirical Study of Open Source and Proprietary Code

By: Alan MacCormack

Keywords: Applications and Software; Product Design; Complexity

April 2014 (Revised March 2015)
Case

GE and the Industrial Internet

By: Karim R. Lakhani, Marco Iansiti and Kerry Herman

CEO Jeff Immelt considers whether GE is moving fast enough on its new Industrial Internet initiative. The undertaking includes building out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients... View Details

Educators

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

15 Apr 2014
News

Bertarelli Foundation Gift Names Deans' Health & Life Sciences Challenge Prize

with his family. One of the businesses of which Waypoint is comprised is Gurnet Point Capital, a health care and life sciences fund recently established and based in Boston. In... View Details

Keywords: i-Lab; Harvard Medical School; Scientific Research and Development Services

20 Jun 2019
Blog Post

What is the MS/MBA Biotechnology: Life Sciences Program? A Q&A with Bill Anderson, Senior Lecturer on Stem Cell and Regenerative Biology

this field. Furthermore, these advances raise a host of ethical issues in terms of diseases targeted, types of therapies, and accessibility. Given the rich experience of translational science in the Harvard... View Details

07 Sep 2016
News

HBS Names 2016-2017 Blavatnik Fellows in Life Science Entrepreneurship

Keywords: Blavatnik; Scientific Research and Development Services

2022
Book

The Role of Innovation and Entrepreneurship in Economic Growth

By: Michael J. Andrews, Aaron Chatterji, Josh Lerner and Scott Stern

We live in an era in which innovation and entrepreneurship seem ubiquitous, particularly in regions like Silicon Valley, Boston, and the Research Triangle Park. But many metrics of economic growth, such as productivity growth and business dynamism, have been at best... View Details

Keywords: Productivity Growth; Production Technologies; Innovation and Invention; Entrepreneurship; Economic Growth; Competition; Organizational Design; Economic Slowdown and Stagnation

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March 2022 (Revised January 2025)
Technical Note

Statistical Inference

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details

Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

Educators

Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we... View Details

31 Oct 2019
Blog Post

5 Things on My Mind in the Second Year of the MS/MBA: Engineering Sciences Program

ambiguity, form an opinion, and defend it with while keeping an open mind when listening to others. In the second year of the program, we choose electives based on our interests. I am particularly enjoying my Strategy View Details

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

SSRN

2019
Article

An Empirical Study of Rich Subgroup Fairness for Machine Learning

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details

Keywords: Machine Learning; Fairness; AI and Machine Learning

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March 2022 (Revised January 2025)
Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details

Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning

Educators

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

SSRN

July 2019
Teaching Note

AT&T, Retraining, and the Workforce of Tomorrow

By: William R. Kerr and Carl Kreitzberg

A Teaching Note for the "AT&T, Retraining, and the Workforce of Tomorrow" case study (HBS#820-017). The case describes how AT&T designed and implemented a program to retrain 100,000 of its workers. The case first reviews the technological forces that compelled AT&T to... View Details