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Mystery of Uber’s Sharing Economy: Eco-friendly hero or a new form of hyper-consumption? - Technology and Operations Management
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
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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...  View Details
Keywords: Machine Learning; Statistics; Experiments; Forecasting and Prediction; Performance Evaluation
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  • February 15, 2021
  • Article

How Real Sales Learning Happens: In the Flow of Work
By: Yuchun Lee, Mark Magnacca and Frank V. Cespedes
Most learning in sales is through peer learning in task-specific contexts, and the effects are cumulative because modeling behavior is a big driver of how salespeople develop. This is very different from the experience in most training seminars, especially if the...  View Details
Keywords: Sales; Learning; Training; Performance
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  • 2021
  • Working Paper

Housing Consumption and the Cost of Remote Work
By: Christopher Stanton and Pratyush Tiwari
This paper estimates housing choice differences between households with and without remote workers. Prior to the pandemic, the expenditure share on housing was more than seven percent higher for remote households compared to similar non-remote households in the same...  View Details
Keywords: Remote Work; Geographic Mobility; Housing; Cost; Geographic Location; Income
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  • 2020
  • Working Paper

Learning with People Like Me: The Role of Age-Similar Peers on Online Business Course Engagement
By: Laura R. Huber, Jacqueline N. Lane and Karim R. Lakhani
Over the past decade, online learning has witnessed tremendous growth in popularity due to its ability to reach diverse participants in a scalable manner. However, one primary area of concern is the low course completion rates in digital platform-based learning,...  View Details
Keywords: Homophily; Online Courses; Social Engagement; Business Skills Training; Business Education; Online Technology; Knowledge Sharing; Age
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  • August 2020 (Revised September 2020)
  • Technical Note

Assessing Prediction Accuracy of Machine Learning Models
By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
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...  View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Data and Data Sets; Analysis; Mathematical Methods
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  • 2020
  • Working Paper

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
By: Edward L. Glaeser, Ginger Zhe Jin, Michael Luca and Benjamin T. Leyden
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant...  View Details
Keywords: Covid-19; Lockdown; Reopening; Impact
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  • 2020
  • Working Paper

Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization
By: Rawi Abdelal
Every order is a bargain with disappointments and trade-offs. Thus is every order an unstable equilibrium. The first era of globalization, circa 1870–1914, created both international prosperity and domestic instability. That instability was fully realized during the...  View Details
Keywords: Centrism; Populism; Globalization; History; Balance and Stability; Economic Systems; Government and Politics; Learning
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  • July–September 2020
  • Article

Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the...  View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
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  • Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the...  View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph
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  • 2020
  • Working Paper

The Effects of Hierarchy on Learning and Performance in Business Experimentation
By: Sourobh Ghosh, Stefan Thomke and Hazjier Pourkhalkhali
Do senior managers help or hurt business experiments? Despite the widespread adoption of business experiments to guide strategic decision-making, we lack a scholarly understanding of what role senior managers play in firm experimentation. Using proprietary data of live...  View Details
Keywords: Experimentation; Innovation; Search; New Product Development; Innovation and Invention; Organizational Design; Learning; Performance
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  • 2020
  • Working Paper

Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris Ferreira and Ryan McNellis
As more commerce and media consumption are being conducted online, a wealth of new opportunities are emerging for personalized advertising. We propose a general methodology, Model Trees for Personalization (MTP), for tackling a broad class of personalized...  View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Online Advertising; Customization and Personalization; Segmentation; Decision Making
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  • December 2019
  • Article

Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller...  View Details
Keywords: Dynamic Pricing; Idiosyncratic Products; Item-specific Demand; Demand Uncertainty; Active Seller Learning; The Value Of Information; Price; Information; Value; Learning
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  • Article

The Feeling of Not Knowing It All
By: Haiyang Yang, Ziv Carmon, Dan Ariely and Michael I. Norton
How do consumers assess their mastery of knowledge they have learned? We explore this question by investigating a common knowledge consumption situation: encountering opportunities for further learning. We argue and show that such opportunities can trigger a...  View Details
Keywords: Knowledge Consumption; Consumption Of Learning; Judgment Of Knowledge; Feeling Ofknowing; Confidence In Knowledge; Wysiati; Fonkia; Knowledge Acquisition; Learning; Perception
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  • June 2019
  • Teaching Note

Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.  View Details
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  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
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  • June 2019
  • Teaching Note

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.  View Details
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  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
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  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
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  • June 2019
  • Article

Consequences of Debt Forgiveness: Strategic Default Contagion and Lender Learning
By: Gerardo Pérez Cavazos
I use a unique data set of loans to small business owners to examine whether lenders face adverse consequences when they grant debt forgiveness to borrowers. I provide evidence consistent with borrowers communicating their debt forgiveness to other borrowers, who then...  View Details
Keywords: Debt Forgiveness; Strategic Default Contagion; Contracting; Borrowing and Debt; Communication; Learning
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  • 2019
  • Working Paper

The Road Not Taken: Consumption of Unfamiliar Products Increases Feelings of Self-Discovery and Consumer Engagement
By: Dafna Goor, Grant Donnelly and Michael I. Norton
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Are you looking for?

Mystery of Uber’s Sharing Economy: Eco-friendly hero or a new form of hyper-consumption? - Technology and Operations Management
Skip to content The HBS Digital Initiative brings together perspectives across disciplines to help people understand how technology is transforming...
→ Search All HBS Web