Publications

19 Jan 2023
Research & Ideas

What Makes Employees Trust (vs. Second-Guess) AI?

about how an algorithm works—but following its advice based on trusting the people who designed and tested it—can lead to better decision-making and financial results for businesses, say researchers affiliated with the Laboratory for Innovation View Details

Keywords: by Rachel Layne

November 2019
Supplement

Innovation at Uber: The Launch of Express POOL

By: Chiara Farronato, Alan MacCormack and Sarah Mehta

This multimedia supplement accompanies the case “Innovation at Uber: the Launch of Express POOL” (case no. 619-003). Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This multimedia supplement... View Details

Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Information Technology; Mobile and Wireless Technology; Applications and Software; Digital Platforms; Technology Industry; California; San Francisco

April 2023
Case

Fizzy Fusion: When Data-Driven Decision Making Failed

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li

This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details

Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry

31 Oct 2022
Research & Ideas

Why the Largest Minority Group Faces the Most Hate—and How to Push Back

systemic racism, the findings could inform policy approaches that prevent discrimination. Tabellini wrote the paper with Mina Cikara, associate professor of psychology at Harvard University, and Vasiliki Fouka, assistant professor of political View Details

Keywords: by Pamela Reynolds

Article

Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions

By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani

Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details

Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention

19 Sep 2023
Research & Ideas

What Chandrayaan-3 Says About India's Entrepreneurial Approach to Space

possibilities for eventually a habitat of some sort, maybe breaking down the water into its constituent elements so you would have energy as well. That’s very attractive. There was an attempt by Russia to land just a few days ago, and it failed in the last stages. So... View Details

Keywords: by Clea Simon, Harvard Gazette; Aerospace

January 2024 (Revised February 2024)
Course Overview Note

Managing Customers for Growth: Course Overview for Students

By: Eva Ascarza

Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details

Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry

October 2023 (Revised April 2024)
Case

Veeva Systems: The Next Frontier

By: Satish Tadikonda and William Marks

Born out of a desire to bring technological advances in enterprise software into the healthcare vertical, Peter Gassner and Matt Wallach founded Veeva to bring life sciences companies into the digital age for data management in both the commercial and R&D sectors. Over... View Details

Keywords: Business Model; Governance Compliance; Applications and Software; Growth Management; Expansion; Technology Industry

29 May 2001
Research & Ideas

Genomics: Can We Start Making Money Now?

drugs, and will they be less expensive?' My answer is, 'I don't know, and probably not.' Lechleiter was one of several panelists to discuss, "Breaking the Genetic Code: The Business of Life Science in the 21st Century" at the... View Details

Keywords: by Sean Silverthorne

Teaching Interest

Harvard Business Analytics Program

By: Michael L. Tushman

The Harvard Business Analytics Program is offered through a collaboration between Harvard Business School (HBS), the John A. Paulson School of Engineering and Applied Sciences (SEAS), and the Faculty of Arts and Sciences (FAS).

Designed for... View Details

2018
Book

The Gift of Global Talent: How Migration Shapes Business, Economy & Society

By: William R. Kerr

The global race for talent is on, with countries and businesses competing for the best and brightest. Foreign talent has transformed U.S. science and engineering, reshaped the economy, and influenced society at large. But America is bogged down in thorny debates on... View Details

Keywords: Immigration; Policy; Labor; Economy; Talent and Talent Management; United States

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Article

The Importance of Being Causal

By: Iavor I Bojinov, Albert Chen and Min Liu

Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details

Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables

Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic

Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details

Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History

Teaching Interest

Applied Business Analytics

Course Overview:

Business Analytics has become a core function in many firms today and is driving innovation in the form of new business and operating models. Data-driven decision-making requires understanding of statistics, computer... View Details

May 2016 (Revised April 2018)
Case

Building the Digital Manufacturing Enterprise of the Future at Siemens

By: Willy Shih

This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details

July–August 2021
Article

Why You Aren't Getting More from Your Marketing AI

By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie

Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details

Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning

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Research Summary

Performance Impact of Continuous Replenishment Systems

By: Janice H. Hammond

Janice H. Hammond has conducted (with Ted Clark of Hong Kong University of Science and Technology) a survey of U.S. retailers to determine how the implementation of continuous replenishment programs between manufacturers and retailers affects supply channel... View Details

2022
White Paper

Census II of Free and Open Source Software - Application Libraries

By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou

Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details

Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution