Filter Results
:
(951)
Show Results For
-
All HBS Web
(2,872)
- Faculty Publications (951)
Show Results For
-
All HBS Web
(2,872)
- Faculty Publications (951)
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
View Details
Keywords:
Brands;
Brand & Product Management;
Big Data;
"Marketing Analytics";
Consumer Behavior;
Predictive Analytics;
Forecasting;
Preferences;
Operation Management;
Distribution Channels;
Marketing;
Marketing Channels;
Marketing Strategy;
Brands and Branding;
Forecasting and Prediction;
Data and Data Sets;
Retail Industry;
Fashion Industry;
Apparel and Accessories Industry;
United States;
North America
- November 2017 (Revised October 2018)
- Case
Brandless: Disrupting Consumer Packaged Goods
By: Jill Avery
Brandless, an online direct-to-consumer seller of upscale private-label consumer packaged goods, offered consumers a limited assortment of values-conscious products delivered directly to their homes with the simplicity of one fixed $3 price point that promised an...
View Details
Keywords:
Brand;
Brand Management;
Retailing;
Retailing Industry;
Private Label;
Direct To Consumer Marketing;
Ecommerce;
Digital Marketing;
Consumer Packaged Goods;
Startup;
Marketing;
Marketing Strategy;
Disruption;
Food;
Product Marketing;
Marketing Channels;
Consumer Behavior;
Brands and Branding;
Venture Capital;
E-commerce;
Consumer Products Industry;
Beauty and Cosmetics Industry;
Food and Beverage Industry;
Retail Industry;
United States;
North America
Avery, Jill. "Brandless: Disrupting Consumer Packaged Goods." Harvard Business School Case 518-044, November 2017. (Revised October 2018.)
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded...
View Details
Keywords:
New York City;
NYC;
311;
NYC311;
Big Data;
Equal Access;
Bias;
Data Analysis;
Public Entrepreneurship;
Urban Informatics;
Predictive Analytics;
Chief Data Officer;
Data Analytics;
Cities;
City Leadership;
Analytics and Data Science;
Analysis;
Prejudice and Bias;
Entrepreneurship;
Public Sector;
City;
Public Administration Industry;
New York (city, NY)
- 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
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be...
View Details
Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
- Article
Pseudo-Set Framing
By: Kate Barasz, Leslie John, Elizabeth A. Keenan and Michael I. Norton
Pseudo-set framing—arbitrarily grouping items or tasks together as part of an apparent “set”—motivates people to reach perceived completion points. Pseudo-set framing changes gambling choices (Study 1), effort (Studies 2 and 3), giving behavior (Field Data and Study...
View Details
Keywords:
Framing Effects;
Gestalt Psychology;
Judgment;
Judgments;
Decision Making;
Perception;
Behavior
Barasz, Kate, Leslie John, Elizabeth A. Keenan, and Michael I. Norton. "Pseudo-Set Framing." Journal of Experimental Psychology: General 146, no. 10 (October 2017): 1460–1477.
- 2017
- Working Paper
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only...
View Details
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity." Harvard Business School Working Paper, No. 18-022, September 2017. (Revised October 2017.)
- September 2017
- Article
The Belief in a Favorable Future
By: Todd Rogers, Don A. Moore and Michael I. Norton
People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others...
View Details
Keywords:
Social Cognition;
Judgment;
Prediction;
Forecasting;
False Consensus;
Donation;
Open Data;
Open Materials;
Preregistered;
Forecasting and Prediction;
Perception;
Values and Beliefs;
Behavior
Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
- August 2017 (Revised July 2018)
- Case
MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work
By: Elie Ofek and Amanda Dai
In June 2014, MannKind Corporation announced that after years of development and billions of dollars in expenses, the FDA had finally approved its drug, Afrezza. MannKind would thus be the only company with an inhalable insulin on the market. As an alternative to...
View Details
Keywords:
Health Care and Treatment;
Product Launch;
Product Positioning;
Marketing Strategy;
Adoption;
Pharmaceutical Industry
Ofek, Elie, and Amanda Dai. "MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work." Harvard Business School Case 518-031, August 2017. (Revised July 2018.)
- Article
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
By: Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Lakkaraju, Himabindu, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 23rd (2017).
- July 2017 (Revised December 2018)
- Case
Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era
By: Rafael Di Tella and Sarah McAra
During the 2016 U.S. election, long-time politician Hillary Clinton, a Democrat, and celebrity billionaire Donald Trump, a Republican, faced off in a contentious race for president. In the primaries, candidates from both major political parties used anti-establishment...
View Details
Keywords:
Populism;
Elites;
Income Inequality;
Government and Politics;
Globalization;
Political Elections;
News;
Media;
Labor;
Prejudice and Bias;
Public Opinion;
Social Issues;
Wealth and Poverty;
Social Media
Di Tella, Rafael, and Sarah McAra. "Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era." Harvard Business School Case 718-005, July 2017. (Revised December 2018.)
- 2017
- Article
Computer Vision Uncovers Predictors of Physical Urban Change
By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and César A. Hidalgo
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the physical appearance of five U.S....
View Details
Keywords:
Urban Economics;
Gentrification;
Urban Studies;
Computer Vision;
Nieghborhood Effects;
Urban Development;
Situation or Environment;
Demographics;
Economics;
Change
Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and César A. Hidalgo. "Computer Vision Uncovers Predictors of Physical Urban Change." Proceedings of the National Academy of Sciences 114, no. 29 (July 18, 2017).
- Other Article
Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities
By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant and Lee Doolan
Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings. We...
View Details
Keywords:
Security Vulnerabilities;
Software Architecture;
Metrics;
Software;
Complexity;
Measurement and Metrics
Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant, and Lee Doolan. "Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities." Proceedings of the International Symposium on Engineering Secure Software and Systems (ESSoS) 9th (2017): 53–69. (Part of Lecture Notes in Computer Science, ISSN 0302-9743.)
- 2017
- Working Paper
Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model
By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity...
View Details
- Article
Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting
By: Louis Kaplow and Scott Duke Kominers
Who will vote quadratically in large-N elections under quadratic voting (QV)? First, who will vote? Although the core QV literature assumes that everyone votes, turnout is endogenous. Drawing on other work, we consider the representativeness of endogenously...
View Details
Keywords:
Voting Turnout;
Paradox Of Voting;
Quadratic Voting;
Pivotality;
Elections;
Voting;
Political Elections;
Mathematical Methods
Kaplow, Louis, and Scott Duke Kominers. "Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting." Special Issue on Quadratic Voting and the Public Good. Public Choice 172, nos. 1-2 (July 2017): 125–149.
- August 2017
- Article
Is the SEC Captured? Evidence from Comment-Letter Reviews
By: Jonas Heese, Mozaffar Khan and Karthik Ramanna
SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,...
View Details
Keywords:
Comment Letters;
Political Connections;
Regulatory Capture;
SEC Enforcement;
Government Administration;
Business and Government Relations;
Government and Politics
Heese, Jonas, Mozaffar Khan, and Karthik Ramanna. "Is the SEC Captured? Evidence from Comment-Letter Reviews." Journal of Accounting & Economics 64, no. 1 (August 2017). (Revised June 2017.)
- June 2017
- Article
When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology
By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can...
View Details
Keywords:
Ritual;
Intergroup Dynamics;
Intergroup Bias;
Neural Reward Processing;
Open Data;
Open Materials;
Preregistered;
Groups and Teams;
Behavior;
Prejudice and Bias;
Cooperation
Hobson, Nicholas M., Francesca Gino, Michael I. Norton, and Michael Inzlicht. "When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology." Psychological Science 28, no. 6 (June 2017): 733–750.
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
View Details
Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Analytics and Data Science;
Forecasting and Prediction;
E-commerce;
Apparel and Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- May 2017
- Case
Four Products: Predicting Diffusion (2017)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
View Details
- April 14, 2017
- Article
Companies Like United Need to Cultivate Good Judgment, and Free Their Employees to Use It
By: John A. Deighton
United Airlines has pledged to improve its training programs and empower its employees to put customers first in the wake of a video showing a passenger being dragged from a plane. Of all the U.S. air carriers, United should have known the power of social media and...
View Details
Keywords:
Crisis Management;
Customer Focus and Relationships;
Employees;
Training;
Air Transportation Industry
Deighton, John A. "Companies Like United Need to Cultivate Good Judgment, and Free Their Employees to Use It." Harvard Business Review (website) (April 14, 2017).