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(738)
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- Faculty Publications (343)
Show Results For
- All HBS Web
(738)
- News (95)
- Research (532)
- Events (16)
- Multimedia (9)
- Faculty Publications (343)
- 2023
- Working Paper
The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through
By: Holly Dykstra, Shibeal O'Flaherty and A.V. Whillans
Behavioral interventions often focus on reducing friction to encourage behavior change. In
contrast, we provide evidence that adding friction can promote long-term behavior change when
behaviors involve repeated costly efforts over longer time horizons. In... View Details
Dykstra, Holly, Shibeal O'Flaherty, and A.V. Whillans. "The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through." Harvard Business School Working Paper, No. 24-020, October 2023.
- June 2021
- Article
Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions
By: Leor Zmigrod and Amit Goldenberg
Who is most likely to join and engage in extreme political action? While traditional theories have focused on situational factors or group identity attributes, an emerging science illustrates that tendencies for extreme political action may also be rooted in... View Details
Keywords: Extreme Political Action; Ideology; Political Psychology; Cognition-emotion Interactions; Cognition and Thinking; Emotions; Personal Characteristics
Zmigrod, Leor, and Amit Goldenberg. "Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions." Current Directions in Psychological Science 30, no. 3 (June 2021): 218–227.
- 2019
- Working Paper
Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys
By: Rafael Di Tella and Dani Rodrik
We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents... View Details
Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
- Article
Decisions about Medication Use and Cancer Screening across Age Groups in the United States
By: Kathleen M. Fairfield, Bethany S. Gerstein, Carrie A. Levin, Vickie Stringfellow, Heidi Wierman and Mary McNaughton-Collins
Objective
To describe decision process and quality for common cancer screening and medication decisions by age group.
Methods
We included 2941 respondents to a national Internet survey who made at least one decision about colorectal, breast,... View Details
To describe decision process and quality for common cancer screening and medication decisions by age group.
Methods
We included 2941 respondents to a national Internet survey who made at least one decision about colorectal, breast,... View Details
Fairfield, Kathleen M., Bethany S. Gerstein, Carrie A. Levin, Vickie Stringfellow, Heidi Wierman, and Mary McNaughton-Collins. "Decisions about Medication Use and Cancer Screening across Age Groups in the United States." Patient Education and Counseling 98, no. 3 (March 2015): 338–343.
- 2009
- Working Paper
The End of Chimerica
By: Niall Ferguson and Moritz Schularick
For the better part of the past decade, the world economy has been dominated by a world economic order that combined Chinese export-led development with US over-consumption. The financial crisis of 2007-2009 likely marks the beginning of the end of the Chimerican... View Details
Keywords: History; Globalized Economies and Regions; Currency Exchange Rate; Economic Growth; Trade; Financial Crisis; China; United States
Ferguson, Niall, and Moritz Schularick. "The End of Chimerica." Harvard Business School Working Paper, No. 10-037, November 2009.
- 2007
- Chapter
Collaborative R&D in Management: The Practical Experience of Fenix and TruePoint in Bridging the Divide Between Scientific and Managerial Goals
By: Michael Beer and Niclas Adler
The gap between theory and practice has been of concern to both practitioners and academics, yet other than pleas to close the gap with more accessible writing by academics and more interest in research by practitioners few systematic efforts have been made to close... View Details
Keywords: Transformation; Knowledge Management; Management; Goals and Objectives; Performance Effectiveness; Performance Improvement; Practice; Research and Development; Social and Collaborative Networks; Theory; Value; United States
Beer, Michael, and Niclas Adler. "Collaborative R&D in Management: The Practical Experience of Fenix and TruePoint in Bridging the Divide Between Scientific and Managerial Goals." In Handbook of Collaborative Management Research, edited by A. B. Shani, N. Adler, N. Mohrman, W. A. Pasmore, and B. Stymne. Sage Publications, 2007.
- 26 Mar 2024
- HBS Seminar
Szu-Chi Huang, Stanford Graduate School of Business
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
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
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.
- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details
Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- October 2021
- Article
Can Self-Regulation Save Digital Platforms?
By: Michael A. Cusumano, Annabelle Gawer and David B. Yoffie
This article explores some of the critical challenges facing self-regulation and the regulatory environment for digital platforms. We examine several historical examples of firms and industries that attempted self-regulation before the Internet. All dealt with similar... View Details
Keywords: Self-regulation; Government Regulation; Digital Platforms; Governing Rules, Regulations, and Reforms
Cusumano, Michael A., Annabelle Gawer, and David B. Yoffie. "Can Self-Regulation Save Digital Platforms?" Industrial and Corporate Change 30, no. 5 (October 2021): 1259–1285.
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes
The purpose of this chapter is to examine the value structure of flow production processes and to explain why it is necessary to rationalize flow processes using the tools of systematic management. I first explain the problems facing managers of multi-step flow... View Details
Keywords: Flow Processes; Bottlenecks; Systematic Management; Production; Management; Problems and Challenges
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes." Harvard Business School Working Paper, No. 20-032, September 2019.
- Article
Overcoming the Outcome Bias: Making Intentions Matter
By: Ovul Sezer, Ting Zhang, Francesca Gino and Max Bazerman
People often make the well-documented mistake of paying too much attention to the outcomes of others’ actions while neglecting information about the original intentions leading to those outcomes. In five experiments, we examine interventions aimed at reducing this... View Details
Keywords: Outcome Bias; Intentions; Joint Evaluation; Judgment; Separate Evaluation; Goals and Objectives; Prejudice and Bias; Judgments; Performance Evaluation; Outcome or Result
Sezer, Ovul, Ting Zhang, Francesca Gino, and Max Bazerman. "Overcoming the Outcome Bias: Making Intentions Matter." Organizational Behavior and Human Decision Processes 137 (November 2016): 13–26.
- Article
Inviting Consumers to Downsize Fast-Food Portions Significantly Reduces Calorie Consumption
By: Janet Schwartz, Jason Riis, Brian Elbel and Dan Ariely
Policies that mandate calorie labeling in fast-food and chain restaurants have had little or no observable impact on calorie consumption to date. In three field experiments, we tested an alternative approach: activating consumers' self-control by having servers ask... View Details
Keywords: Food; Labels; Consumer Behavior; Interpersonal Communication; Motivation and Incentives; Health Industry; Food and Beverage Industry
Schwartz, Janet, Jason Riis, Brian Elbel, and Dan Ariely. "Inviting Consumers to Downsize Fast-Food Portions Significantly Reduces Calorie Consumption." Health Affairs 31, no. 2 (February 2012): 2399–2407.
- Research Summary
People Are Experience Goods: Improving Online Dating with Virtual Dates
Because internet search mechanisms are designed for finding searchable items, we tend to conceptualize the things we seek online in terms of their objective characteristics. For some pursuits, however, this illuminates a mismatch between processes and goals. In online... View Details
- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate... View Details
Keywords: Competition Policy; Regulation; Algorithmic Pricing; Dynamic Pricing; Economics; Law And Economics; Law And Regulation; Consumer Protection; Antitrust Law; Industrial Organization; Antitrust Issues And Policies; Technological Change: Choices And Consequences; Competition; Policy; Price; Governing Rules, Regulations, and Reforms; Microeconomics; Duopoly and Oligopoly; Law
MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
- 03 Apr 2009
- Working Paper Summaries
Applying the Care Delivery Value Chain: HIV/AIDS Care in Resource Poor Settings
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- August 2021
- Article
Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap
By: Abhishek Nagaraj
The wild success of a few online communities (like Wikipedia) has obscured the fact that most attempts at forming such communities fail. This study evaluates information seeding, an early-stage intervention to bootstrap online communities that enables contributors to... View Details
Keywords: Online Communities; Knowledge Production; Crowdsourcing; Innovation; Digitization; Internet and the Web; Digital Platforms; Social and Collaborative Networks; Analytics and Data Science; Knowledge Dissemination
Nagaraj, Abhishek. "Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap." Management Science 67, no. 8 (August 2021).
- December 2021
- Article
Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing
By: Julia Lee Cunningham, Francesca Gino, Dan Cable and Bradley Staats
Teams often fail to reach their potential because members’ concerns about being socially accepted prevent them from offering their unique perspectives to the team. Drawing on relational self and self-affirmation theory, we argue that affirmation of team members’ social... View Details
Keywords: Social Worth Affirmation; Relational Identity; Self-affirmation; Information Sharing In Teams; Concerns About Social Acceptance; Groups and Teams; Identity; Relationships; Knowledge Sharing
Cunningham, Julia Lee, Francesca Gino, Dan Cable, and Bradley Staats. "Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing." Academy of Management Journal 64, no. 6 (December 2021): 1816–1841.