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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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- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul J. 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
- Article
Value-Based Healthcare in Urology: A Collaborative Review
By: Chanan Reitblat, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh and Boris Gershman
Context:
In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and... View Details
In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and... View Details
- April 2021
- Supplement
Buy Online, Pickup in Store: CEO Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella CEO Sylvia Coparella must assess the impact of the company’s Buy Online, Pickup in Store (BOPS) program on her company’s overall sales. To do so, she must review analyses of both e-commerce and brick-and-mortar sales data and compare the...
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- April 2021
- Case
Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In October 2018, fashion, wellness, and beauty retailer Sylvarella implemented a Buy Online, Pickup in Store (BOPS) program in an attempt to counteract a sales decline. While BOPS had the potential to meet customer expectations for a seamless order and fulfillment...
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- April 2021
- Case
Codecademy: Where to Next?
By: Jeffrey F. Rayport, Max Mailman and Sarah Ascherman
In March 2020, Zach Sims, co-founder and CEO of online education platform Codecademy, prepared for a meeting with his Chief of Staff Kunal Ahuja to discuss the company’s goals. Codecademy billed itself as the largest online resource for computer science literacy and...
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Keywords:
Monetization Strategy;
Business Model;
Change Management;
Venture Capital;
Leading Change;
Growth and Development Strategy;
Growth Management;
Management Teams;
Marketing Channels;
Product Marketing;
Network Effects;
Product Development;
Organizational Change and Adaptation;
Strategic Planning;
Online Technology;
Technology Platform;
United States
- 2021
- Working Paper
Human versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations
By: Joseph Pacelli, Braiden Coleman and Kenneth J. Merkley
We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human-analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations...
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- Article
Manage the Suppliers That Could Harm Your Brand: Know When to Avoid, Engage, or Drop Them
By: Jodi L Short and Michael W. Toffel
The pandemic has placed a new spotlight on working conditions in factories that supply global companies. To avert problems, firms often impose codes of conduct on their suppliers and perform audits to assess compliance. Do these measures help identify unethical...
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Keywords:
Auditing;
Agency Cost;
Quality And Safety;
Quality Management System;
Quality Management;
Unions;
Environmental Management;
Globalization;
Goods and Commodities;
Governance;
Labor;
Labor Unions;
Wages;
Working Conditions;
Operations;
Supply Chain;
Safety;
Quality;
China;
Bangladesh;
Asia;
Pakistan
- 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
The Health Costs of Cost-Sharing
By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
We use the design of Medicare’s prescription drug benefit program to demonstrate three facts about the health consequences of cost-sharing. First, we show that an as-if-random increase of 33.6% in out-of-pocket price (11.0 percentage points (p.p.) change in...
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- Article
Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology
By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
Background
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
- 2020
- Other Teaching and Training Material
Encouraging Student Participation Online—and Assessing It Fairly: Techniques and Methods to Involve More Voices in Virtual Classes
By: Ayelet Israeli
This article is about encouraging student participation online—and assessing it fairly. It includes techniques and methods to involve more voices in virtual classes, and evaluate them equitably and fairly.
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- November 2020
- Article
Accelerator or Brake? Cash for Clunkers, Household Liquidity, and Aggregate Demand
By: Daniel Green, Brian Melzer, Jonathan Parker and Arcenis Rojas
This paper evaluates the Car Allowance Rebate System (CARS) by comparing the vehicle purchases and disposals of households with eligible "clunkers" to those of households with similar, but ineligible, vehicles. CARS caused roughly 500,000 purchases during the program...
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Keywords:
Automobiles;
Purchasing;
Government Incentives;
Household;
Financial Liquidity;
Income;
Behavior
- October 6, 2020
- Article
Test Your Board's Readiness for the Post-COVID Era
By: Lynn S. Paine
Research suggests that well-run boards take the process of self-evaluation quite seriously, often using a combination of director surveys and personal interviews to assess the functioning and effectiveness of the board, its committees, and its individual members. As...
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- September 2020 (Revised September 2021)
- Case
Student Success at Georgia State University (A)
By: Michael W. Toffel, Robin Mendelson and Julia Kelley
Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African...
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Keywords:
Education;
Higher Education;
Learning;
Curriculum and Courses;
Demographics;
Diversity;
Ethnicity;
Income;
Race;
Leadership;
Goals and Objectives;
Measurement and Metrics;
Operations;
Organizations;
Mission and Purpose;
Organizational Culture;
Outcome or Result;
Performance;
Performance Effectiveness;
Performance Evaluation;
Service Operations;
Performance Improvement;
Planning;
Strategic Planning;
Social Enterprise;
Nonprofit Organizations;
Social Issues;
Wealth and Poverty;
Equality and Inequality;
Technology;
Technology Platform;
Education Industry;
Atlanta
- Article
Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study
By: Noy Alon, Ariel Dora Stern and John Torous
BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous...
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- July 2020 (Revised September 2020)
- Case
The Honor Foundation: Accessing Special Operations Talent
By: Boris Groysberg and John Masko
In 2020, The Honor Foundation (THF), a nonprofit dedicated to helping U.S. military special operators to transition into civilian careers, was facing a series of strategic challenges. THF had been founded in 2013 by former Navy SEAL trainee Joe Musselman, who observed...
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Keywords:
Experience and Expertise;
Talent and Talent Management;
Curriculum and Courses;
Executive Education;
Social Entrepreneurship;
National Security;
Recruitment;
Retention;
Job Interviews;
Job Search;
Knowledge Use and Leverage;
Leadership Development;
Leadership Style;
Crisis Management;
Mission and Purpose;
Retirement;
Nonprofit Organizations;
War;
Education Industry;
San Diego;
Virginia
- 2020
- Working Paper
When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. This paper investigates the role of information sharing among experts as the...
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- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it....
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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...
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