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- Article
Core Earnings: New Data and Evidence
By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the...
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- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...
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- November 2021
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Data and Data Sets;
Analysis;
Online Advertising;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
- November 2021
- Article
A Salient Sugar Tax Decreases Sugary Drink Buying
By: Grant E. Donnelly, Paige Guge, Ryan Howell and Leslie John
Many governments have introduced sugary drink excise taxes to reduce purchasing and consumption of such drinks; however, they do not typically stipulate how such taxes should be communicated at point-of-purchase. Historical, field, and experimental data entailing over...
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Keywords:
Decision-making;
Open Data;
Open Materials;
Preregistered;
Health;
Policy;
Taxation;
Consumer Behavior;
Decision Making
- Article
Drive Innovation with Better Decision-Making
By: Linda A. Hill, Emily Tedards and Taran Swan
Despite their embrace of agile methods, many firms striving to innovate are struggling to produce breakthrough ideas. A key culprit, according to the authors, is an outdated, inefficient approach to decision-making. Today’s discovery-driven innovation processes involve...
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- 2021
- Working Paper
Faith and Assimilation: Italian Immigrants in the U.S.
By: Stefano Gagliarducci and Marco Tabellini
How do ethnic religious organizations influence immigrants' assimilation in host societies? This paper offer the first systematic answer to this question by focusing on Italian Catholic churches in the U.S. between 1890 and 1920, when four million Italians moved to...
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- Article
Financial Shame Spirals: How Shame Intensifies Financial Hardship
By: Joe J. Gladstone, Jon M. Jachimowicz, Adam Eric Greenberg and Adam D. Galinsky
Financial hardship is an established source of shame. This research explores whether shame is also a driver and exacerbator of financial hardship. Six experimental, archival, and correlational studies (N = 9,110)—including data from customer bank account histories and...
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- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative...
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- 2021
- Working Paper
Who Benefits from Online Gig Economy Platforms?
By: Christopher Stanton and Catherine Thomas
This paper estimates the magnitude and distribution of surplus from the knowledge worker gig economy using data from an online labor market. Labor demand elasticities determine workers’ wages, and buyers’ past market experience shapes both their job posting frequency...
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- 2021
- Working Paper
The International Price of Remote Work
By: Alberto Cavallo, Javier Cravino, Andres Drenik and Agostina Brinatti
We use data from a large web-based job platform to study how the price of remote work is determined in a globalized labor market. In the platform, workers from around the world compete for jobs that can be done remotely. We document that, despite the global nature of...
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- 2021
- Working Paper
Rising Markups and the Role of Consumer Preferences
By: Hendrik Döpper, Alexander MacKay, Nathan H. Miller and Joel Stiebale
We characterize the evolution of markups for consumer products in the United States from 2006 to 2019. We use detailed data on prices and quantities for products in more than 100 distinct product categories to estimate demand systems with flexible consumer preferences....
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- October 2021
- Case
Hospital 57357: Aligning Performance Towards a Vision of a Cancer-Free Childhood
By: Susanna Gallani and Youssef Abdel Aal
The case follows the Children Cancer Hospital in Egypt, also known as Hospital 57357, as it goes through the roll-out of a new performance management system, which Dr. Sherif Abouel Naga, founder and CEO of the hospital, had championed. This was a critical juncture as...
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- October 2021
- Case
CrisisReady: Private Data for Public Good
By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations.
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- October 2021
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Data and Data Sets;
Analysis;
Online Advertising;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
- October 2021
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
View Details
Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Data and Data Sets;
Analysis;
Online Advertising;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech...
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Keywords:
Big Data;
Fintech;
Artificial Intelligence;
Small Business;
Financing and Loans;
Capital;
Success
- October 2021
- Article
Confidence and Central Tendency in Perceptual Judgment
By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the...
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- October 2021
- Article
Directors' Perceptions of Board Effectiveness and Internal Operations
By: J. Yo-Jud Cheng, Boris Groysberg, Paul M. Healy and Rajesh Vijayaraghavan
We contribute to the growing literature on the effectiveness of corporate boards by examining the effect of two insights that have been largely unexplored in prior studies that use public data. First, since boards’ responsibilities are wide-ranging, more holistic...
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- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to...
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- 2021
- Working Paper
Loan Officers Impede Graduation from Microfinance: Strategic Disclosure in a Large Microfinance Institution
By: Natalia Rigol and Benjamin N. Roth
One of the most important puzzles in microfinance is the low rate of borrower graduation to larger, more flexible loans. Utilizing observational and experimental data from a large Chilean microfinance institution, we demonstrate that loan officers impede borrower...
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