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- 2021
- Working Paper
How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home (WFH) during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973...
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- August 2021
- Case
Orchadio’s First Two Split Experiments
By: Iavor I. Bojinov, Marco Iansiti and David Lane
Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on...
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- August 2021
- Teaching Note
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein and Mel Martin
Teaching Note for HBS Case No. 621-022.
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Keywords:
Decision Making;
Technological Innovation;
Innovation Strategy;
Knowledge Management;
Knowledge Use and Leverage;
Operations;
Failure;
Technology;
Information Technology;
Software;
Health Care and Treatment;
Product Development;
Health Industry;
Information Technology Industry;
Technology Industry;
United States;
Houston;
Texas
- 2021
- Working Paper
Consumer Choice and Corporate Bankruptcy
By: Samuel Antill and Megan Hunter
Using an incentivized randomized experiment, we estimate the causal effect of a Chapter 11 bankruptcy filing on consumer demand for the bankrupt firm's products. Knowledge of Hertz's Chapter 11 bankruptcy reduces consumers' willingness-to-pay for Hertz by 35%. We show...
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- August 2021
- Article
Humanizing Strategy
By: Hirotaka Takeuchi and Ikujiro Nonaka
In this article, we apply our latest thinking on knowledge to provide insights on how to reconceptualize strategy to cope with a VUCA world, epitomized recently by COVID-19. We demonstrate that business leaders must draw on phronesis, or practical wisdom, for strategy...
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- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...
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- 2021
- Working Paper
T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military
By: Hise O. Gibson
People are an organization’s most important resource. Managers who are collaborative and innovative ensure that organizations remain competitive. This type of manager has been referred to as a T-shaped manager. “T” given that the vertical portion represents the depth...
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- 2021
- Working Paper
Financial Innovation in the 21st Century: Evidence from U.S. Patents
By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun
We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure...
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- 2021
- Working Paper
Currency Hedging: Managing Cash Flow Exposure
By: Laura Alfaro, Maurici Mauricio and Liliana Varela
Foreign currency derivative markets are among the largest in the world, yet their role in emerging markets is relatively understudied. We study firms' currency risk exposure and their hedging choices by employing a unique dataset covering the universe of FX derivatives...
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- June 2021
- Article
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously...
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- May 2021 (Revised May 2021)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
United States
- 2021
- Working Paper
Going by the Book: Valuation Ratios and Stock Returns
By: Ki-Soon Choi, Eric So and Charles C.Y. Wang
We study the use of firms’ book-to-market ratios (B/M) in value investing and its implications for comovements in firms’ stock returns and trading volumes. We show B/M has become increasingly detached from common alternative valuation ratios over time while also...
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- May 2021
- Article
Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being
By: Lisa Rotenstein, Robert S. Huckman and Christine K. Cassel
The COVID-19 crisis has forced physicians to make daily decisions that require knowledge and skills they did not acquire as part of their biomedical training. Physicians are being called upon to be both managers—able to set processes and structures—and leaders—capable...
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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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- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed...
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- April–May 2021
- Article
The Effect of Retaliation Costs on Employee Whistleblowing
By: Jonas Heese and Gerardo Pérez Cavazos
We use large increases in unemployment insurance (UI) benefits to study the effects of expected retaliation costs on employee whistleblowing. Increases in UI benefits reduce the costs that arise from a job loss, one of the costliest forms of retaliation. We find that...
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- 2021
- Working Paper
Working from Home during COVID-19: Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how knowledge workers allocate time throughout their working day. We analyzed the results from an online time-use survey that collected data on 1,192 knowledge workers in...
View Details
Keywords:
Time-use;
COVID;
Knowledge Workers;
Working-from-home;
Managers;
Health Pandemics;
Time Management
- March 2021
- Article
Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic
Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to...
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- March 2021
- Article
Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies
By: Willy C. Shih
Many new technologies are complex and embody high levels of technical sophistication, and applying them should require significant knowledge and experience. Yet, the rapid adoption and incorporation of these technologies into other innovations seems inconsistent with...
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- Article
Job Loss, Credit and Crime in Colombia
By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Christian Posso and Jorge Tamayo
We investigate the effects of job displacement, as a result of mass layoffs, on criminal arrests using a matched employer-employee-crime dataset from Medellín, Colombia. Job displacement leads to immediate and persistent earnings losses and higher probability of arrest...
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