Publications
Publications
Show Results For
- All HBS Web
(428)
- Faculty Publications (106)
- 2016
- Article
Penalized Fast Subset Scanning
By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
- 2015
- Article
Testing Strategy with Multiple Performance Measures: Evidence from a Balanced Scorecard at Store24
We analyze balanced scorecard data from a convenience store chain, Store24, during the implementation of an innovative, but ultimately unsuccessful, strategy. Quarterly strategic reviews, based in part on the firm's balanced scorecard, led executives at Store24 to... View Details
- May 2015
- Article
Admitting Mistakes: Home Country Effect on the Reliability of Restatement Reporting
By: Suraj Srinivasan, Aida Sijamic Wahid and Gwen Yu
We study the frequency of restatements by foreign firms listed on U.S. exchanges. We find that the restatement rate of U.S. listed foreign firms is significantly lower than that of comparable U.S. firms and that the difference depends on the firm's home country... View Details
- 2015
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
- 2014
- Article
Attentional Rhythm: A Temporal Analogue of Object-Based Attention
By: Julian De Freitas, Brandon Liverence and Brian J. Scholl
The underlying units of attention are often discrete visual objects. Perhaps the clearest form of evidence for this is the same-object advantage: Following a spatial cue, responses are faster to probes occurring on the same object than they are to probes occurring on... View Details
- 2014
- Article
Prosocial Spending and Happiness: Using Money to Benefit Others Pays Off
By: Elizabeth W. Dunn, Lara B. Aknin and Michael I. Norton
While a great deal of research has shown that people with more money are somewhat happier
than people with less money, our research demonstrates that how people spend their money also matters for their happiness. In particular, both correlational and... View Details
- 2014
- Working Paper
Firm Competitiveness and Detection of Bribery
By: George Serafeim
Using survey data from firms around the world I analyze how detection of bribery has impacted a firm's competitiveness over the past year. Managers report that the most significant impact was on employee morale, followed by business relations, and then reputation and... View Details
- July 2013 (Revised August 2017)
- Case
TaKaDu
By: Elie Ofek and Matthew Preble
In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
- 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
- Article
Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details
- April 2013
- Article
An fMRI Investigation of Racial Paralysis
By: Michael I. Norton, Malia F. Mason, Joseph A. Vandello, Andrew Biga and Rebecca Dyer
We explore the existence and underlying neural mechanism of a new norm endorsed by both black and white Americans for managing interracial interactions: "racial paralysis," the tendency to opt out of decisions involving members of different races. We show that people... View Details
- December 2012
- Article
Inducement Prizes and Innovation
By: Liam Brunt, Josh Lerner and Tom Nicholas
We examine the effect of prizes on innovation using data on awards for technological development offered by the Royal Agricultural Society of England at annual competitions between 1839 and 1939. We find that the effects of prizes on competitive entry are large, and we... View Details
- May 18, 2012
- Article
Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss
By: David I Levine, Michael W. Toffel and Matthew S. Johnson
Controversy surrounds occupational health and safety regulators, with some observers claiming that workplace regulations damage firms' competitiveness and destroy jobs and others arguing that they make workplaces safer at little cost to employers and employees. We... View Details
- Article
Deception and Its Detection: Effects of Monetary Incentives and Personal Relationship History
By: Lyn M. Van Swol, Deepak Malhotra and Michael T. Braun
The study examined detection of deception in unsanctioned, consequential lies between either friends or strangers using an ultimatum game. The sender was given an amount of money to divide with the receiver. The receiver did not know the precise amount the sender had... View Details
- May 2011
- Article
Race at the Top: How Companies Shape the Inclusion of African Americans on Their Boards in Response to Institutional Pressures
By: Clayton S. Rose and William T. Bielby
Drawing on institutionalist theory, we conceptualize the racial composition of the boards of directors of large American companies as shaped in response to social and political norms. We use new longitudinal and cross-sectional data to test hypotheses about factors... View Details
- 2011
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
- Article
Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We extend the recently proposed ‘fast subset scan’ framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time clusters even when the numbers of spatial locations and data streams are large. These fast algorithms... View Details
- Article
The Artful Dodger: Answering the Wrong Question the Right Way
By: Todd Rogers and Michael I. Norton
What happens when speakers try to "dodge" a question they would rather not answer by answering a different question? In 4 studies, we show that listeners can fail to detect dodges when speakers answer similar-but objectively incorrect-questions (the "artful dodge"), a... View Details
- June 2010
- Article
Are You a High Potential?
By: Douglas A. Ready, Jay A. Conger and Linda A. Hill
Some employees are more talented than others, and nearly every company has its method for identifying their high-potential managers. So how can you get on your company's high-potential list? Douglas A. Ready, of the talent-management research center ICEDR; Jay A.... View Details
- Article
Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements
By: Malcolm Baker, Lubomir Litov, Jessica Wachter and Jeffrey Wurgler
We consider measures of stock-picking skill of mutual fund managers based on the earnings announcement returns of the stocks that they hold and trade. Relative to standard approaches, this approach focuses on an especially informative subset of the returns data,... View Details