Publications

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2024
Chapter

Inflation and Misallocation in New Keynesian Models

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details

Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost

2017
Working Paper

The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond

By: Josh Lerner

Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges

09 Sep 2016
News

Marla Malcolm Beck’s Path to CEO

tackle any process in any organization.” The article frames Malcolm Beck’s professional journey not as an accumulation of diverse skills, but as a focus on a few unique ones. [S]he didn’t become chief executive by getting loads of experience across functions. Rather,... View Details

08 May 2015
News

Ubiquitous digital connectivity is now essential to competitiveness

its “industrial Internet,” an open global network of machines, data, and people that provides analytics and designs solutions to optimize its customers’ complex operations. “The paradigm is not displacement and replacement,” says Iansiti,... View Details

April 2001
Article

Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration

By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer

We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration... View Details

Keywords: Research; Cases; Analytics and Data Science; Theory

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

Sorensen led Perkin-Elmer to become one of the premier diversified technology companies in the United States. It developed the first commercial super minicomputer in 1979. During his CEO tenure, sales and earnings more than tripled and Perkin-Elmer grew to become the... View Details

Keywords: Computers & Electronics

Web

CORe Final Exam Preparation | HBS Online

module deadline. Participants do not need to make appointments to take the final exam. The exam is divided into three parts — Business Analytics , Economics for Managers , and Financial Accounting — and you have 60 minutes to complete... View Details

05 Aug 2002
Research & Ideas

Understanding the Process of Innovation

data-driven analytical approach to understanding new market opportunities. "That's a great process for finding gaps in well-established markets," says Christensen, "but it's a bad process for making intuitive bets."... View Details

Keywords: by Loren Gray

Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth

Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details

Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory

December 1996 (Revised November 2006)
Background Note

General Mills, Inc.: Appendix of Comparable Company Data

By: William J. Bruns Jr.

Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details

Keywords: Business Conglomerates; Analytics and Data Science; Food and Beverage Industry

January 2016
Case

Acxiom

By: John Deighton

Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details

Keywords: Big Data; Direct Marketing; Personal Data; Privacy; Digital Marketing; Retargeting; Rights; Analytics and Data Science; Ethics; Marketing; United States

Educators

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01 Dec 2011
News

What HBS Learned from West Point

something more holistic. They respond to character—who you are, your values, and your identity.” The parallels for business educators are striking. Business schools have been criticized for relying too heavily on teaching disciplinary knowledge and developing View Details

Keywords: military education; National Security and International Affairs; Government

Web

Tools & Services | Information Technology

about web design, implementation, management, and support at HBS. Data, Reporting, & Analytics Explore IT supported reporting and analytics platforms for HBS community information assets. Deliver We ensure... View Details

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

June 2023
Article

How New Ideas Diffuse in Science

By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland

What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details

Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science

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November 5, 2021
Article

Leaders: Stop Confusing Correlation with Causation

By: Michael Luca

We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details

Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning

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2021
Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani

Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details

Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage

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