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- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
- Article
Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits
By: David R. Bell, Santiago Gallino and Antonio Moreno
Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
- Article
Games of Threats
By: Elon Kohlberg and Abraham Neyman
A game of threats on a finite set of players, N, is a function d that assigns a real number to any coalition, S ⊆ N, such that d(S) = -d(N\S). A game of threats is not necessarily a coalitional game as it may fail to satisfy the condition d(Ø) = 0. We show that analogs... View Details
- Article
Strategy-Proofness of Worker-Optimal Matching with Continuously Transferable Utility
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
We give a direct proof of one-sided strategy-proofness for worker-firm matching under continuously transferable utility. A new “Lone Wolf” theorem (Jagadeesan et al., 2017) for settings with transferable utility allows us to adapt the method of proving one-sided... View Details
- February 2018 (Revised October 2019)
- Technical Note
The Art and Science of Brand Valuation
By: Jill Avery
Brand valuation, the art and science of calculating the economic value accruing to a firm from its use of an intangible brand asset, yields frustratingly inconsistent, discrepant, and, therefore, controversial results. While it is widely accepted that brands are... View Details
Keywords: Brand Valuation; Brand Value; Brand; Brand Management; Marketing ROI; Brand Equity; Analytics; Return On Investment; Brands and Branding; Valuation; Marketing; Marketing Strategy; Investment Return; Consumer Behavior; Advertising Industry; Consumer Products Industry; Apparel and Accessories Industry; Auto Industry; Beauty and Cosmetics Industry; Electronics Industry; Fashion Industry; Food and Beverage Industry
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
- January 2018 (Revised October 2019)
- Case
Christie's and Leonardo da Vinci's Salvator Mundi: The Value of a Brand
By: Jill Avery
A 16th century Renaissance masterpiece, missing for 137 years, believed by many to have been destroyed and then rediscovered less than a decade ago, becomes the most expensive painting ever sold, all the while surrounded by controversy. Did the buyer of Leonardo da... View Details
Keywords: Brands; Brand Valuation; Art Collector; Arts Marketing; Auction House; Auctions; Luxury Brand; Luxury Consumers; Luxury Goods; Marketing; Valuation; Marketing Strategy; Arts; Luxury; Value; Brands and Branding; Fine Arts Industry; Italy; United Kingdom; Europe; United States; United Arab Emirates
- January 2018 (Revised August 2020)
- Background Note
Continuous Software Development: Agile's Successor
By: Jeffrey J. Bussgang, Samuel Clemens and Olivia Hull
In recent years, the twin software development methodologies of continuous delivery and continuous deployment have risen to prominence in the start-up world and beyond. These methods have enabled technology companies large and small to accelerate their product... View Details
Keywords: Continuous Improvement; Continuous Development; Continuous Delivery; Continuous Integration; Product Development Processes; Computer Programming; Agile; Waterfall; Software Applications; Software Engineering; Applications and Software; Information Technology; Technological Innovation; Product Development; Customer Focus and Relationships; Entrepreneurship; Organizational Change and Adaptation; Organizational Structure; Quality; Product Marketing; Product; Infrastructure; Information Infrastructure; Computer Industry; Technology Industry; Information Technology Industry; Web Services Industry; Massachusetts; Boston
- January 2018
- Background Note
Math Tools for Strategists
By: Tarun Khanna and Jan W. Rivkin
Great strategists rely heavily on numbers as they go about their work. This note offers an overview of the highbrow and lowbrow quantitative tools that individuals commonly encounter during strategy courses and in actual strategy work. The note focuses especially on... View Details
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
- 2017
- Working Paper
Investment Timing with Costly Search for Financing
By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
- 2017
- Working Paper
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
- Article
The Board's New Innovation Imperative: Directors Need to Rethink Their Roles and Their Attitude to Risk
By: Linda A. Hill and George Davis
As firms scramble for competitive advantage, boards—once the cautious voices urging management to mitigate risk—are now calling for breakthrough innovation. Indeed, avoiding risk is now seen as the riskiest proposition of all. In speaking with CEOs and board members... View Details
- 2017
- Working Paper
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
- October 2017
- Article
The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated
By: Katherine Baldiga Coffman, Lucas C. Coffman and Keith M. Marzilli Ericson
We demonstrate that widely used measures of anti-gay sentiment and the size of the LGBT population are misestimated, likely substantially. In a series of online experiments using a large and diverse but non-representative sample, we compare estimates from the standard... View Details
- September 2017
- Article
Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees
By: Anais Thibault-Landry, Allan Schweyer and Ashley V. Whillans
Given the struggle that many organizations face hiring and retaining talent in today's tight labor market, it is critical to understand how to effectively reward employees. To address this question, we review relevant evidence that explains the importance of workplace... View Details
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details