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  • November–December 2015
  • Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios
Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details
Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis
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Goh, Joel, Margrét V. Bjarnadóttir, Mohsen Bayati, and Stefanos A. Zenios. "Active Postmarketing Drug Surveillance for Multiple Adverse Events." Operations Research 63, no. 6 (November–December 2015): 1528–1546. (Finalist, 2012 INFORMS Health Applications Society Pierskalla Award.)
  • 26 Mar 2012
  • Research & Ideas

What Neuroscience Tells Us About Consumer Desire

for behavior, and draws on concepts and techniques from neuroscience to inform her research in marketing. For corporations, on the other hand, the science is a means to an end goal of selling more stuff. But the tools, once restricted to... View Details
Keywords: by Carmen Nobel; Consumer Products
  • 05 Sep 2023
  • Book

Failing Well: How Your ‘Intelligent Failure’ Unlocks Your Full Potential

Business School Professor Amy Edmondson argues in her new book Right Kind of Wrong: The Science of Failing Well. Alimta is an example of an “intelligent failure,” Edmondson says, because the scientists developing it had no way to advance... View Details
Keywords: by Michael Blanding
  • February 2001
  • Case

PlanetFeedback: The Voice of One ... The Power of Many (A)

By: James L. Heskett
The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details
Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry
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Heskett, James L. "PlanetFeedback: The Voice of One ... The Power of Many (A)." Harvard Business School Case 901-051, February 2001.
  • September 2007 (Revised September 2008)
  • Case

Buildings and Energy

By: Forest L. Reinhardt and Nazli Uludere
Presents data on opportunities to conserve energy in buildings, which account for about a third of all energy use. Encourages readers to think about the impediments to energy efficiency in the buildings sector and the ways in which entrepreneurs can profitably surmount... View Details
Keywords: Buildings and Facilities; Energy Conservation; Construction; Entrepreneurship; Investment; Innovation and Invention; Performance Efficiency; Environmental Sustainability; Construction Industry
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Reinhardt, Forest L., and Nazli Uludere. "Buildings and Energy." Harvard Business School Case 708-024, September 2007. (Revised September 2008.)
  • 12 Mar 2024
  • Research & Ideas

Publish or Perish: What the Research Says About Productivity in Academia

candidate; Rachel Mural, a doctoral candidate at the Harvard Kennedy School; Jerry Thursby and Marie Thursby, visiting scholars at the Digital Data Design Institute at Harvard’s Laboratory for Innovation Science; HBS View Details
Keywords: by Ben Rand; Education
  • March 1980 (Revised February 1987)
  • Case

Sweco, Inc. (A)

By: Michael E. Porter and George S. Yip
Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case... View Details
Keywords: Cost vs Benefits; Decisions; Forecasting and Prediction; Cost; Analytics and Data Science; Market Entry and Exit; Competition
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Porter, Michael E., and George S. Yip. "Sweco, Inc. (A)." Harvard Business School Case 380-167, March 1980. (Revised February 1987.)
  • October–December 2023
  • Article

A Practical Guide to Conversation Research: How to Study What People Say to Each Other

By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
Keywords: Interpersonal Communication; Analytics and Data Science; Research
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Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
  • winter 2003
  • Article

Massively Categorical Variables: Revealing the Information in Zip Codes

We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as explanatory variables in an econometric model. In an application of this... View Details
Keywords: Strategy; Analytics and Data Science; Behavior; Marketing; Standards; Finance
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Steenburgh, Thomas J., Andrew Ainslie, and Peder Hans Engebretson. "Massively Categorical Variables: Revealing the Information in Zip Codes." Marketing Science 22, no. 1 (winter 2003): 40–57.
  • March–April 2023
  • Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
  • May 23, 2011
  • Article

Leading and Lagging Countries in Contributing to a Sustainable Society

By: Robert G. Eccles and George Serafeim
To determine the extent to which corporate and investor behavior is changing to contribute to a more sustainable society, researchers Robert Eccles and George Serafeim analyzed data involving over 2,000 companies in 23 countries. One result: a ranking of countries... View Details
Keywords: Change; Society; Corporate Disclosure; Natural Environment; Rank and Position; Social Issues; Financial Statements; Behavior
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Eccles, Robert G., and George Serafeim. "Leading and Lagging Countries in Contributing to a Sustainable Society." Harvard Business School Working Knowledge (May 23, 2011).
  • 2023
  • Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
  • 17 Jun 2014
  • First Look

First Look: June 17

lasting changes in the lives of people and their societies. Rather, some organizations would be better off measuring shorter-term outputs or individual outcomes. Funders such as foundations and impact investors are better positioned to measure systemic impacts. August... View Details
Keywords: Sean Silverthorne
  • 07 Dec 1999
  • Research & Ideas

Henry Heinz and Brand Creation in the Late Nineteenth Century

science of nutrition began to develop in the 1890s; the presence of vitamins in food and the relationship between diet and disease are twentieth-century discoveries. But as he and his partner expanded their business in the early 1870s,... View Details
Keywords: by Nancy F. Koehn
  • 2023
  • Working Paper

Design-Based Inference for Multi-arm Bandits

By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
Keywords: Analytics and Data Science; Mathematical Methods
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Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
  • 1991
  • Book

Multinational and International Banking

By: G. Jones
The essays in this volume explore the historical evolution of multinational and international banking. Contemporary studies, and most writers on the theory of multinational banking, focus on US data, yet historically European financial institutions were the leaders in... View Details
Keywords: Banks and Banking; Multinational Firms and Management; Analytics and Data Science; Opportunities; Theory; Banking Industry; Europe; United States
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Jones, G., ed. Multinational and International Banking. Aldershot, England: Edward Elgar Publishing, 1991.
  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
  • June 2018
  • Article

Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged

By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across... View Details
Keywords: Customer Engagement; Adoption Routes; Word-of-Mouth; Digital Marketing; Bayesian Estimation; Customers; Communication; Consumer Behavior; Marketing; Internet and the Web; Analytics and Data Science
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Lee, Clarence, Elie Ofek, and Thomas Steenburgh. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged." Management Science 64, no. 6 (June 2018): 2473–2495. (Lead Article.)
  • 08 Nov 2010
  • Research & Ideas

How to Fix a Broken Marketplace

tackled the market for new medical residents, economists, and lawyers. (Forbes magazine named him one of the world's "seven most powerful new economists.") "Market design is the engineering part of game theory," Roth explains. "It's the... View Details
Keywords: by Carmen Nobel; Health
  • Other Article

How to Make Remote Monitoring Tech Part of Everyday Health Care

By: Samantha F. Sanders, Ariel Dora Stern and William J. Gordon
Remote patient monitoring is a subset of telehealth that involves the collection, transmission, evaluation, and communication of patient health data from electronic devices. These devices include wearable sensors, implanted equipment, and handheld instruments. During... View Details
Keywords: Health Care and Treatment; Information Technology; Analytics and Data Science; Technology Adoption
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Sanders, Samantha F., Ariel Dora Stern, and William J. Gordon. "How to Make Remote Monitoring Tech Part of Everyday Health Care." Harvard Business Review (website) (July 2, 2020).
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