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- Article
Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses
By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a...
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- May 2022
- Case
TikTok and National Security: Investment in an Age of Data Sovereignty?
By: Jeremy Friedman, Sarah Bauerle Danzman and David Lane
This case covers TikTok’s purchase of Musical.ly and the reaction of the United States government, including the review of the purchase by the Committee on Foreign Investment in the United States (CFIUS) and the reaction of the presidential administration of Donald...
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- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show...
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- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical...
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Keywords:
Metrics;
Influence;
Status;
Citations;
Science;
Measurement and Metrics;
Research;
Perception
- May 2022
- Article
Policy Stringency and Mental Health During the COVID-19 Pandemic: A Longitudinal Analysis of Data from 15 Countries
By: Lara B. Aknin, Bernardo Andretti, Rafael Goldszmidt, John F. Helliwell, Anna Petherick, Jan-Emmanuel De Neve, Elizabeth W. Dunn, Daisy Fancourt, Elkhonon Goldberg, Sarah P. Jones, Ozge Karadag, Elie Karam, Richard Layard, Shekhar Saxena, Emily Thornton, Ashley Whillans and Jamil Zaki
To date, public health policies implemented during the COVID-19 pandemic have been evaluated on the basis of their ability to reduce transmission and minimise economic harm. We aimed to assess the association between COVID-19 policy restrictions and mental health...
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- 2022
- Book
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge.
The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive...
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- April 2022
- Teaching Note
Banorte Móvil: Data-Driven Mobile Growth
By: Ayelet Israeli and Carla Larangeira
In mid-2019, Carlos Hank was deliberating over the results for Banorte Móvil—the mobile application for Banorte, Mexico’s most profitable and second-largest financial institution. Hank, who had been appointed as Banorte´s Chairman of the Board in January 2015, had...
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- 2022
- Working Paper
An Anatomy of Performance Monitoring
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Performance monitoring is a mainstay management tool in most organizations. Yet we still know little about whether—and why—better monitoring yields better performance in practice. To shed light on these questions, we study the introduction of a performance monitoring...
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Keywords:
Performance Monitoring;
Worker Skills;
Skill Depreciation;
Managerial Inattention;
On-the-job Training;
Productivity;
Multitasking;
Quick Serve Restaurants;
Performance Evaluation;
Employees;
Competency and Skills;
Training;
Performance Productivity;
Management;
Information Technology;
Food and Beverage Industry;
Puerto Rico
- April 2022
- Case
Highland Park Wood Co. (Abridged)
By: David E. Bell
A major home builder wishes to purchase lumber (Southern pine). The builder wants delivery in six months but prefers to lock-in the price near current rates. The lumber wholesaler must decide on a pricing and sourcing strategy. Examples include: 1) buy & hold, 2) wait...
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- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is...
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- 2022
- Book
Productive Tensions: How Every Leader Can Tackle Innovation’s Toughest Trade-Offs
By: Chris Bingham and Rory McDonald
Why is leading innovation in nascent business environments so distressingly hit-or-miss? More than 90% of high-potential ventures don’t reach their projected targets. Surveys show that 80% of executives consider innovation crucial to their growth strategy, but only 6%...
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- April 2022
- Article
The Past Is Prologue? Venture-Capital Syndicates' Collaborative Experience and Start-Up Exits
By: Dan Wang, Emily Cox Pahnke and Rory McDonald
Past research has produced contradictory insights into how prior collaboration between organizations—their relational embeddedness—impacts collective collaborative performance. We theorize that the effect of relational embeddedness on collaborative success is...
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- March 2022
- Module Note
Exploratory Data Analysis
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....
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- March 2022
- Module Note
Linear Regression
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to...
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- March 2022
- Module Note
Prediction & Machine Learning
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...
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- March 2022
- Module Note
Statistical Inference
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic...
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- March 2022
- Case
GrowSari (A): Design for the Last Mile Customer
By: Brian Trelstad, Cam Carag and Michi Ferreol
Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,...
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- March 2022
- Case
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern and Alpana Thapar
In mid-January 2022, Nadine Hachach-Haram, founder and CEO of Proximie, was thinking about the company’s growth plans. Launched in 2016, Proximie was a platform that enabled clinicians, proctors, and medical device company personnel to be virtually present in operating...
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- March 2022
- Case
Unilever: Remote Work in Manufacturing
By: Prithwiraj Choudhury and Susie L. Ma
In December 2021, Unilever—one of the world’s largest producers of consumer goods—was in the midst of a pilot project to digitize its manufacturing facilities and enable remote work for factory employees. This was possible because of an earlier project to retrofit a...
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- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details