Publications

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

Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement

04 Apr 2011
Research & Ideas

Attention Medical Shoppers: What Health Care Can Learn from Walmart and Amazon

percent of health care costs. Furthermore, when comparing health care at US hospitals, "The bell curve for quality and results does not match the bell curve for costs," he said. "There is a... View Details

Keywords: by Carmen Nobel; Health

July 11, 2024
Article

Research: New Hires’ Psychological Safety Erodes Quickly

By: Derrick P. Bransby, Michael J. Kerrissey and Amy C. Edmondson

Across industries, from manufacturing to health care, the luxury of waiting years to benefit from new talent is long gone. Thriving in today’s dynamic economy means bringing new hires up the learning curve faster than ever. Yet, the authors’ latest research suggests... View Details

Keywords: Talent and Talent Management; Learning; Interpersonal Communication; Employees

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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... View Details

Keywords: Technological Change; Disruption; Ecosystem; Semiconductors; Photography; Scaling-up; Scaling; Organizational Change and Adaptation; Information Technology; Product; Consumer Products Industry; United States

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March 10, 2025
Article

How Gen AI Could Change the Value of Expertise

By: Joseph Fuller, Matt Sigelman and Michael Fenlon

In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details

Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career

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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... View Details

Keywords: Capital Markets; Stocks; Financial Markets; Governing Rules, Regulations, and Reforms; Innovation Strategy; Performance Efficiency; Perspective

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... View Details

Keywords: Digitalization; Executive Education; Disruption; Leadership Development; Management Skills; Curriculum and Courses; Internet and the Web; Design

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16 Jun 2014
Blog Post

Recruiting Millennials in a Global Market

talent. Organizations need to be nimble and stay ahead of the curve to effectively target the right candidates through methods that appeal to them. As an international educator who has worked with college-aged students and young... View Details

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

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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... View Details

Keywords: Cost vs Benefits; Management Practices and Processes; Industry Structures; Product Development; Production; Research and Development; Competitive Advantage; Corporate Strategy; Manufacturing Industry

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... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

1998
Journal Article

Ford's Model-T: Pricing over the Product Life Cycle

By: Ramon Casadesus-Masanell

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... View Details

Keywords: Experience and Expertise; Decisions; Forecasting and Prediction; Cost; Price; Information; Demand and Consumers; Monopoly; Product; Sales; Complexity; Auto Industry

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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... View Details

Keywords: Management Analysis, Tools, and Techniques; Marketing Strategy; Decisions; Strategic Planning; Price; Partners and Partnerships; Cost; Demand and Consumers; Revenue; Profit; Mathematical Methods; Measurement and Metrics

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... View Details

Keywords: Forecasting and Prediction; Price; Profit; Management Analysis, Tools, and Techniques; Marketing Strategy; Demand and Consumers; Measurement and Metrics; Strategic Planning; Mathematical Methods; Retail Industry