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- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...
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- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
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- February 2023
- Supplement
Coats Dyehouse Management
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...
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- 2022
- Working Paper
Perceptions about Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Fed's monetary policy rule from micro data on professional forecasters. The perceived rule varies significantly over time, with important consequences for monetary policy and bond markets. Over the monetary policy cycle, easings are...
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- March 2022 (Revised May 2022)
- Case
Winning Business at Russell Reynolds (A)
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and...
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Keywords:
Compensation;
Collaboration;
Executive Search Firms;
Consulting Firms;
Compensation and Benefits;
Restructuring;
Human Resources;
Human Capital;
Management Practices and Processes;
Organizational Culture;
Organizational Change and Adaptation;
Social and Collaborative Networks;
Recruitment;
Selection and Staffing;
Talent and Talent Management;
Consulting Industry;
Employment Industry;
Asia;
Europe;
Latin America;
Middle East;
North and Central America;
South America;
Oceania
- March 2022
- Supplement
Winning Business at Russell Reynolds (B)
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and...
View Details
Keywords:
Compensation;
Collaboration;
Executive Search Firms;
Consulting Firms;
Compensation and Benefits;
Restructuring;
Human Resources;
Human Capital;
Management Practices and Processes;
Organizational Culture;
Organizational Change and Adaptation;
Social and Collaborative Networks;
Recruitment;
Selection and Staffing;
Talent and Talent Management;
Consulting Industry;
Employment Industry;
Asia;
Europe;
Latin America;
Middle East;
North and Central America;
South America;
Oceania
- February 2022 (Revised September 2022)
- Case
Lilium: Preparing for Takeoff
By: Navid Mojir, Vincent Dessain, Mette Fuglsang Hjortshoej and Emer Moloney
Lilium is a German company focused on developing electric vertical takeoff and landing vehicles (eVTOLs) that can be used to offer air taxi services. The company went public in September 2021 through a special purpose acquisition company (SPAC) deal, raising more than...
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Keywords:
SPACs;
Business Model;
Forecasting and Prediction;
Green Technology;
Capital Markets;
Venture Capital;
Initial Public Offering;
Rural Scope;
Urban Scope;
City;
Disruptive Innovation;
Growth and Development Strategy;
Technological Innovation;
Demand and Consumers;
Market Timing;
Industry Growth;
Infrastructure;
Logistics;
Product Design;
Product Development;
Production;
Service Delivery;
Service Operations;
Strategic Planning;
Partners and Partnerships;
Risk and Uncertainty;
Urban Development;
Sustainable Cities;
Business Strategy;
Competitive Strategy;
Competitive Advantage;
Air Transportation;
Aerospace Industry;
Air Transportation Industry;
Green Technology Industry;
Transportation Industry;
Travel Industry;
Germany;
Munich;
Brazil;
United States;
Florida
- January 2022
- Background Note
Residual Income Valuation Model
By: Charles C.Y. Wang and Albert Shin
This note explains the residual income valuation model (RIM), how it relates to "traditional" valuation models, the intuition behind its use, and empirical research related to its value relevance. RIM is theoretically equivalent to the dividend discount model and the...
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- August 2021
- Supplement
Coats: Supply Chain Challenges
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- August 2021
- Supplement
Coats: Supply Chain Challenges: Spreadsheet Supplement
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- May 2021 (Revised July 2021)
- Case
Coats: Supply Chain Challenges
By: Willy C. Shih and Adina Wong
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the...
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- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and...
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- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S....
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- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption...
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- January 2021
- Article
Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model...
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- October 2020 (Revised March 2021)
- Supplement
Migros Turkey: Scaling Online Operations During COVID-19 (C)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in August 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are navigating Migros through COVID-19 and the unprecedented...
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Keywords:
Business Model;
Strategy;
Digital Platforms;
Information Technology;
Technology Adoption;
Value Creation;
Globalization;
Competition;
Expansion;
Logistics;
Profit;
Resource Allocation;
Diversification;
Corporate Strategy;
Crisis Management;
Health Pandemics;
Strategic Planning;
Food and Beverage Industry;
Turkey
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools...
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