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May 2017 American Economic Review: Papers and Proceedings Immigration and the Rise of American Ingenuity By: Akcigit, Ufuk, John Grigsby, and Tom...
- 2021
- Working Paper
Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?
By: Leemore S. Dafny, Eric Barrette and Karen Shen
As of 2016 there were an estimated 2.1 million Americans suffering from opioid use disorder (OUD). To date, most policy interventions have focused on curbing opioid prescriptions and extending insurance coverage to include substance use disorder. However, relatively...
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- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
Ai;
Ai Algorithms;
Ai Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
"marketing Analytics";
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- January 2021 (Revised April 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own...
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Keywords:
Data Analytics;
Data Privacy;
Data Management;
"marketing Analytics";
Marketing Communication;
Marketing Research;
Data-driven Management;
E-commerce;
E-commerce Strategy;
Ethical Decision Making;
Crm;
Consumer Protection;
Targeted Advertising;
Targeted Policies;
Data Ownership;
Marketing;
Research;
Marketing Communications;
Data and Data Sets;
Management;
Customer Relationship Management;
Ethics;
Retail Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised April 2021.)
- Article
Value of New Performance Information in Healthcare: Evidence from Japan
By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan
Mandatory measurement and disclosure of outcome measures are commonly used policy tools in
healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare...
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Keywords:
Value Of Information;
Feedback;
Patient Satisfaction;
Healthcare;
Health Care and Treatment;
Satisfaction;
Information;
Measurement and Metrics;
Performance Improvement
Gallani, Susanna, Takehisa Kajiwara, and Ranjani Krishnan. "Value of New Performance Information in Healthcare: Evidence from Japan." International Journal of Health Economics and Management 20, no. 4 (December 2020): 319–357.
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...
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Keywords:
Machine Learning;
Marketing Applications;
Knowledge;
Technological Innovation;
Core Relationships;
Marketing
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- 2020
- Working Paper
Social Interactions in Pandemics: Fear, Altruism, and Reciprocity
By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi
In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google...
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Keywords:
Social Interactions;
Pandemics;
Mobility;
Cities;
Sir Networks;
Social Preferences;
Social Planner;
Targeted Policies;
Health Pandemics;
Interpersonal Communication;
Behavior;
Policy
Alfaro, Laura, Ester Faia, Nora Lamersdorf, and Farzad Saidi. "Social Interactions in Pandemics: Fear, Altruism, and Reciprocity." NBER Working Paper Series, No. 27134, May 2020.
- 2020
- Working Paper
Global Behaviors and Perceptions in the COVID-19 Pandemic
By: Thiemo Fetzer, Marc Witte, Lucas Hensel, Jon M. Jachimowicz, Johannes Haushofer, Andriy Ivchenko, Stefano Caria, Elena Reutskaja, Christopher Roth, Stefano Fiorin, Margarita Gomez, Gordon Kraft-Todd, Friedrich M. Goetz and Erez Yoeli
We conducted a large-scale survey covering 58 countries and over 100,000 respondents between late March and early April 2020 to study beliefs and attitudes towards citizens’ and governments’ responses to the COVID-19 pandemic. Most respondents reacted strongly to the...
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Keywords:
Covid-19;
Mental Health;
Norms;
Health Pandemics;
Surveys;
Public Opinion;
Global Range;
Government Administration;
Policy;
Perception;
Behavior
Fetzer, Thiemo, Marc Witte, Lucas Hensel, Jon M. Jachimowicz, Johannes Haushofer, Andriy Ivchenko, Stefano Caria, Elena Reutskaja, Christopher Roth, Stefano Fiorin, Margarita Gomez, Gordon Kraft-Todd, Friedrich M. Goetz, and Erez Yoeli. "Global Behaviors and Perceptions in the COVID-19 Pandemic." Harvard Business School Working Paper, No. 20-111, April 2020.
- 2020
- Working Paper
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly expose multiple units to different treatments and measure their subsequent outcomes, sequentially repeating the procedure numerous times. Using the potential outcomes framework, we define finite population dynamic causal effects that...
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Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Harvard Business School Working Paper, No. 20-101, April 2020.
- 2020
- Working Paper
Shaping Nascent Industries: Innovation Strategy and Regulatory Uncertainty in Personal Genomics
By: Cheng Gao and Rory McDonald
In nascent industries—whose new technologies are often poorly understood by regulators—contending with regulatory uncertainty can be crucial to organizational survival and growth. Prior research on nonmarket strategy largely focuses on established firms in mature...
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Keywords:
Technological Change;
Innovation;
Qualitative Methods;
Entrepreneurship;
Technological Innovation;
Governing Rules, Regulations, and Reforms;
Risk and Uncertainty;
Strategy
Gao, Cheng, and Rory McDonald. "Shaping Nascent Industries: Innovation Strategy and Regulatory Uncertainty in Personal Genomics." Harvard Business School Working Paper, No. 20-095, March 2020.
- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and...
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Keywords:
Online Advertising;
Insolvency and Bankruptcy;
Mergers and Acquisitions;
Software;
Internet;
Competition;
Marketing;
Advertising Industry;
Web Services Industry;
United States;
Europe
Israeli, Ayelet, Danilo Tauro, and Sarah Gulick. "Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire." Harvard Business School Case 520-087, March 2020.
- March 2020
- Article
Organizing Knowledge Production Teams Within Firms for Innovation
By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity...
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Keywords:
Knowledge Recombination;
Organization Design;
Team Boundary;
Innovation;
Knowledge Sharing;
Diversity;
Innovation and Invention;
Groups and Teams;
Human Capital;
Organizational Design
Aggarwal, Vikas A., David H. Hsu, and Andy Wu. "Organizing Knowledge Production Teams Within Firms for Innovation." Strategy Science 5, no. 1 (March 2020): 1–16.
- 2020
- Working Paper
Loan Types and the Bank Lending Channel
By: Victoria Ivashina, Luc Laeven and Enrique Moral-Benito
Using credit registry data for Spain and Peru, we document that four main types of commercial credit—asset-based loans, cash flow loans, trade finance and leasing—are easily identifiable and represent the bulk of corporate credit. We show that credit growth dynamics...
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Keywords:
Bank Credit;
Loan Types;
Bank Lending Channel;
Credit Registry;
Banks and Banking;
Credit;
Financing and Loans
Ivashina, Victoria, Luc Laeven, and Enrique Moral-Benito. "Loan Types and the Bank Lending Channel." NBER Working Paper Series, No. 27056, April 2020.
- December 2019
- Article
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller...
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Keywords:
Dynamic Pricing;
Idiosyncratic Products;
Item-specific Demand;
Demand Uncertainty;
Active Seller Learning;
The Value Of Information;
Price;
Information;
Value;
Learning
Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.
- November 2019
- Article
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call...
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Keywords:
Nerlove-arrow Framework;
Stock-of-goodwill;
Dynamic Panel Data;
Serial Correlation;
Instrumental Variables;
Sales Effectiveness;
Detailing;
Data and Data Sets;
Sales;
Analysis;
Performance Effectiveness;
Pharmaceutical Industry
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
- 2019
- Article
History, Micro Data, and Endogenous Growth
By: Ufuk Akcigit and Tom Nicholas
The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history...
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Keywords:
Economic Development;
Growth;
Innovation;
Economic Growth;
History;
Data and Data Sets;
Innovation and Invention
Akcigit, Ufuk, and Tom Nicholas. "History, Micro Data, and Endogenous Growth." Annual Review of Economics 11 (2019): 615–633.
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,...
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Keywords:
Recommender Systems;
Personalization;
Recommendation Diversity;
Variety Seeking;
Collaborative Filtering;
Consumer Utility Models;
Digital Media;
Clickstream Analysis;
Learning-to-rank;
Consumer Behavior;
Media;
Customization and Personalization;
Strategy;
Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- July–August 2019
- Article
Coupling Labor Codes of Conduct and Supplier Labor Practices: The Role of Internal Structural Conditions
By: Yanhua Bird, Jodi L. Short and Michael W. Toffel
Exploitive working conditions have spurred companies to pressure their suppliers to adopt labor codes of conduct and to conform their labor practices to the standards set forth in those codes. Yet little is known about whether organizational structures such as codes...
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Keywords:
Organization Theory;
Economic Sociology;
Social Responsibility;
Sustainability;
Auditing;
Process Improvement;
Organizational Structure;
Corporate Social Responsibility and Impact;
Supply Chain;
Labor;
Working Conditions
Bird, Yanhua, Jodi L. Short, and Michael W. Toffel. "Coupling Labor Codes of Conduct and Supplier Labor Practices: The Role of Internal Structural Conditions." Organization Science 30, no. 4 (July–August 2019): 847–867. (Best Paper Award at ComplianceNet Conference 2019, 2020 Responsible Research in Management Award Finalist.)
- July 2019
- Article
'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity
By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis
When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined...
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Gray, Kurt, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett, and Kevin Lewis. "'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity." American Psychologist 74, no. 5 (July 2019): 539–554.
- 2020
- Working Paper
To Infinity and Beyond: Scaling Economic Theories via Logical Compactness
By: Yannai A. Gonczarowski, Scott Duke Kominers and Ran I. Shorrer
Many economic-theoretic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. Such assumptions introduce a conceptual problem, as results that rely on finiteness are often implicitly nonrobust; for example,...
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Gonczarowski, Yannai A., Scott Duke Kominers, and Ran I. Shorrer. "To Infinity and Beyond: Scaling Economic Theories via Logical Compactness." Harvard Business School Working Paper, No. 19-127, June 2019. (Revised November 2020.)
- 2021
- Working Paper
Consumer Inertia and Market Power
By: Alexander MacKay and Marc Remer
We study the pricing decision of firms in the presence of consumer inertia. Inertia, which can arise from habit formation, brand loyalty, switching costs, or search, has important implications for equilibrium outcomes and affects market power. Holding market structure...
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Keywords:
Consumer Inertia;
Market Power;
Dynamic Competition;
Demand Estimation;
Consumer Behavior;
Markets;
Performance;
Competition;
Price
MacKay, Alexander, and Marc Remer. "Consumer Inertia and Market Power." Harvard Business School Working Paper, No. 19-111, April 2019. (Revised April 2021. Direct download.)
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May 2017 American Economic Review: Papers and Proceedings Immigration and the Rise of American Ingenuity By: Akcigit, Ufuk, John Grigsby, and Tom...