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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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October 2021 (Revised February 2022)
Case

Newsweek: Driving a Digital First Strategy

By: Lynda M. Applegate and Suraj Srinivasan

The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details

Keywords: Transformation; Strategy; Internet and the Web; Analytics and Data Science; Performance Evaluation; Partners and Partnerships

2024
Working Paper

Economic Budgeting for Endowment-Dependent Universities

By: John Y. Campbell, Jeremy C. Stein and Alex A. Wu

To understand their financial position, universities need to understand the long-term implications of their operating revenues and costs in relation to the financial assets they have available. Standard budgeting procedures that focus on one or two years at a time and... View Details

Keywords: Budgets and Budgeting; Cash Flow; Cost; Revenue; Education Industry

2015
Case

Advanced Leadership Pathways: Mike Critelli and Dossia Service Corporation

By: Rosabeth Moss Kanter and Patricia Bissett Higgins

In 2010, Mark Critelli was a well-seasoned corporate executive who had recently transitioned from being the CEO of a Fortune 500 company to that of a startup called Dossia. As an AL Fellow, he knew that despite believing in Dossia’s mission to empower individuals with... View Details

05 Dec 2013
Op-Ed

Encourage Breakthrough Health Care by Competing on Products Rather Than Patents

they should open target data and compete on solutions—compounds and molecules addressing the targets. I agree. If we're going to get the breakthrough products we want at a development cost we can afford, we have to figure out the best... View Details

Keywords: by Richard G. Hamermesh; Biotechnology; Health

2012
Article

Exploring Re-Identification Risks in Public Domains

By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle

While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details

Keywords: Safety; Analytics and Data Science; Social and Collaborative Networks

October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill

We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details

Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science

March 2016 (Revised April 2019)
Technical Note

ESG Metrics: Reshaping Capitalism?

By: George Serafeim

In the past twenty-five years, the world had seen an exponential growth in the number of companies reporting environmental, social and governance (ESG) data. Investor interest in ESG data also grew rapidly. A growing belief that increasing levels of social inequality... View Details

Keywords: Capitalism; Sustainability; Accountability; Corporate Social Responsibility; Responsibilities To Society; Environment; Social Impact Investment; ESG; Corporate Social Responsibility and Impact; Environmental Sustainability; Measurement and Metrics; Integrated Corporate Reporting; Corporate Accountability; Accounting; Economic Systems

2016
Working Paper

Venture Capital Data: Opportunities and Challenges

By: Steven N. Kaplan and Josh Lerner

This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details

Keywords: Venture Capital; Analytics and Data Science; Investment

2017
Chapter

Venture Capital Data: Opportunities and Challenges

By: Steven N. Kaplan and Josh Lerner

This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details

Keywords: Venture Capital; Analytics and Data Science; Research

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February 2006 (Revised March 2008)
Case

ChoicePoint (A)

By: Lynn S. Paine and Zack Phillips

The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection... View Details

Keywords: Business Model; Safety; Rights; Analytics and Data Science; Ethics; Information Technology; Information Industry; United States

February 1985 (Revised August 1985)
Supplement

Computervision-Japan (C)

Presents sales data for 1983 and 1984. View Details

Keywords: Analytics and Data Science; Sales

10 Apr 2007
First Look

First Look: April 10, 2007

conclude that stars add more value than they capture. I discuss implications for managers in the motion picture industry. Brokerage, Boundary Spanning, and Leadership in Open Innovation Communities Authors:Lee Fleming and David M. Waguespack Periodical:Organization... View Details

Keywords: Martha Lagace

2025
Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza

As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details

Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing

19 Oct 2015
Research & Ideas

Business Research that Makes for Smarter Public Policy

originated. “We are using data from regulators, writing studies, but seldom going back to the regulators to say, ‘This is what we learned,’” says Harvard Business School Professor Michael W. Toffel, whose research examines companies’... View Details

Keywords: by Michael Blanding

2020
Book

Experimentation Works: The Surprising Power of Business Experiments

By: Stefan Thomke

Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details

Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research

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28 Aug 2007
First Look

First Look: August 28, 2007

large economies for the 2001 to 2005 period. We investigate reasons why Chinese firms are more diversified than companies elsewhere. Design/methodology/approach—We collect data on the number of business segments in which publicly traded... View Details

Keywords: Martha Lagace

2023
Article

Evaluating Explainability for Graph Neural Networks

By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik

As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details

Keywords: Analytics and Data Science

2020
Book

The Power of Experiments: Decision-Making in a Data-Driven World

By: Michael Luca and Max H. Bazerman

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details

Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques

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