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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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- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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- 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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- 2019
- Working Paper
The Future of Executive Development: The CLO's Compass and The Executive Programs Designer's Guide
By: Mihnea Moldoveanu and Das Narayandas
Executive education worldwide has entered a period of disruption catalyzed by the digitalization of content, connectivity, and communication—while the demand for managerial skills is growing. The forces of disintermediation, disaggregation, and decoupling are creating...
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- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default...
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- Summer 2016
- Article
The Real Lessons From Kodak's Decline
By: Willy C. Shih
Eastman Kodak is often mischaracterized as a company whose managers didn't recognize soon enough that digital technology would decimate its traditional business. However, what really happened at Kodak is much more complicated—and instructive. Kodak suffered from a...
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- November 2015
- Article
Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery
By: Bryan M. Burt, Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki and John G. Byrne
OBJECTIVE: We hypothesized that increased post-graduate surgical experience correlates with improved operative efficiency and long-term survival in standard cardiac surgery procedures.
METHODS: Utilizing a prospectively collected retrospective database,... View Details
METHODS: Utilizing a prospectively collected retrospective database,... View Details
- August 2013 (Revised November 2020)
- Case
Tesla Motors
In mid-2013, Tesla Motors was riding a wave of success: It had launched its first really mass-produced car—the model S—to rave reviews; had recently raised first-year production targets; and had started taking orders for its next car, the Model X. Tesla seemed to be on...
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Keywords:
Barriers To Entry;
Economic Analysis;
Learning Curve;
Economies Of Scale;
Innovation;
Market Entry;
Sustainable Competitive Advantage;
Vision;
Strategy And Leadership;
Strategy;
Competitive Strategy;
Market Entry and Exit;
Competitive Advantage;
Technological Innovation;
Leadership;
Learning;
Economics;
Analysis;
Auto Industry
- July 2010
- Supplement
Marketing Analysis Toolkit: Pricing and Profitability Analysis (CW)
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability...
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- July 2010 (Revised December 2011)
- Background Note
Marketing Analysis Toolkit: Pricing and Profitability Analysis
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability...
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- September 2009
- Article
A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement
By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill
Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details
- July 2001 (Revised March 2002)
- Case
Nasdaq Stock Market, Inc., The
By: Andre F. Perold and Austin K Scee
NASDAQ's mission "to facilitate capital formation" is threatened by the emergence of Electronic Communication Networks, which are not as heavily regulated by the SEC. This case reviews the development of NASDAQ and its evolution from a loose network of broker-dealers...
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- 1998
- Journal Article
Ford's Model-T: Pricing over the Product Life Cycle
The pricing decisions monopolistic firms make over time are determined to a large extent by the complex interplay of two distinct sets of elements: demand- and supply-based considerations. Demand factors include the possibilities of (a) exercising dynamic price...
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- December 1991 (Revised October 1998)
- Case
Eli Lilly and Co.: Manufacturing Process Technology Strategy--1991
By: Gary P. Pisano, Steven C. Wheelwright and Jonathan West
Outlines the evolution of Lilly's corporate manufacturing strategy over the past decade. The corporate vice president of manufacturing must decide on the next phase of Lilly's strategy for the early 1990s, as well as to what extent and what role process development...
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