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Publications
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- 2021
- Working Paper
Diagnosing Quality: Learning, Amenities, and the Demand for Health Care
By: Jorge Tamayo, Achyuta Adhvaryu, Emilio Gutierrez and Anant Nyshadham
We study the role of amenities in increasing demand for underutilized healthcare services. We evaluate the offer of a high-amenity diagnostic consultation for cataracts with a randomized price and find that a lower price for the high-amenity consultation increases...
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- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S....
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- December 2020 (Revised February 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology...
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Keywords:
Decision Making;
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
- November 2020
- Technical Note
Tales of Life-changing Innovations: Safe and Cheap Diagnostics | Note on the Development of Ultrasound Scanning (through 2000)
By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
- October 2020
- Technical Note
Organizational Reinvention
By: Ryan Raffaelli
This note is designed to introduce students to the fundamental concepts of leading innovation in established organizations. Reinvention is a process whereby organizations respond to changes in the environment that threaten their core business model, technologies,...
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- September 2020
- Case
Minerva 2004: Discovery
By: John R. Wells and Benjamin Weinstock
After nearly five years in operation, Doctor Cynthia Bamdad, founder and CEO of Minerva Biotechnologies Corporation (Minerva), was reflecting on the company’s next steps. In a few short years, she and her small team had managed to develop a nanoparticle process for...
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- September 2020
- Case
Minerva 2020: Clinical Trials
By: John R. Wells and Benjamin Weinstock
In March 2020, Dr. Cynthia Bamdad, founder and CEO of Minerva Biotechnologies Inc. (Minerva), was reviewing the first results of human clinical trials for the company’s novel CAR-T drug therapeutic, one of the first ever to target solid cancer tumors. The results...
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- August 2020 (Revised October 2020)
- Case
1928 Diagnostics: Fighting Antibiotics Resistance
By: Ariel D. Stern and Daniela Beyersdorfer
In 2019, the co-founders of the Swedish medical start-up 1928 Diagnostics, CEO Dr. Kristina Lagerstedt and COO Dr. Susanne Staaf, had to pick the right business model to commercialize their novel technology to hospitals and health care providers. Developed in...
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- July, 2020
- Article
Assessing the Training Costs and Work of Diagnostic Radiology Residents Using Key Performance Indicators—An Observational Study
By: Robert S. Kaplan, Marta E. Heilbrun, Brad Poss, Luca Boi, Yoshimi Anzai and Nan Hu
- 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...
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- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first...
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- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media...
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- 2020
- Working Paper
Computed Tomography: Case Histories of Significant Medical Advances
By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
We describe how Computed Tomography (CT) scanners—that combine x-rays and computers to image soft tissues of the brain and other organs—have become a widely used diagnostic tool. Specifically, we chronicle the following: 1) development of the first CT scanner (through...
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- 2020
- Working Paper
Gastrointestinal Endoscopy: Case Histories of Significant Medical Advances
By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
We describe how endoscopy transformed the diagnosis of ulcers, cancerous polyps and other diseases of the alimentary canal and enabled “minimally invasive” surgeries to treat such diseases. Specifically, we chronicle how: 1) flexible glass fiber endoscopes developed in...
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- 2020
- Working Paper
Ultrasound: Case Histories of Significant Medical Advances
By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
We describe how efforts on multiple fronts, including advocacy, training and technological development made ultrasound the second most commonly used diagnostic imaging technology (after X-rays). Specifically, we chronicle: 1) ultrasound’s development and introduction...
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- 2019
- Chapter
Characterizing the Drug Development Pipeline for Precision Medicines
By: Amitabh Chandra, Craig Garthwaite and Ariel Dora Stern
BOOK ABSTRACT: Personalized and precision medicine (PPM)—the targeting of therapies according to an individual’s genetic, environmental, or lifestyle characteristics—is becoming an increasingly important approach in health care treatment and prevention. The advancement...
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- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and...
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- February 2018
- Article
Diagnostic Expectations and Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
- Article
Stop the Meeting Madness: How to Free Up Time for Meaningful Work
By: Leslie Perlow, Constance Noonan Hadley and Eunice Eun
Many executives feel overwhelmed by meetings, and no wonder: On average, they spend nearly 23 hours a week in them, up from less than 10 hours in the 1960s. What’s more, the meetings are often poorly timed, badly run, or both. We can all joke about how painful they...
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- January 2017
- Case
Danaher Corporation, 2007–2017
By: John R. Wells and Gabriel Ellsworth
On July 2, 2016, Danaher Corporation completed the spinoff of Fortive Corporation. The previous day, Danaher’s stock price had reached an all-time high. In 2015, Danaher had decided to split off its test and measurement, fuel and fleet management, and automation...
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Keywords:
Danaher;
Fortive;
Larry Culp;
Beckman Coulter;
Pall;
Life Sciences;
Diagnostics;
Environmental Operations;
Water Management;
Dental;
Testing;
Measurement;
Fuel;
Fleet Management;
Automation;
Toolmaking;
Tools;
Disease Management;
Continuous Improvement;
Toyota Production System;
Divestiture;
Spinoffs;
Spin-off;
Networks;
Acquisition;
Mergers and Acquisitions;
Business Conglomerates;
Business Divisions;
Business Subsidiaries;
Business Units;
Business Growth and Maturation;
Business Model;
For-Profit Firms;
Joint Ventures;
Restructuring;
Engineering;
Chemicals;
Construction;
Machinery and Machining;
Profit;
Revenue;
Globalized Firms and Management;
Multinational Firms and Management;
Health;
Health Care and Treatment;
Health Disorders;
Medical Specialties;
Business History;
Job Cuts and Outsourcing;
Business or Company Management;
Growth and Development Strategy;
Management Analysis, Tools, and Techniques;
Management Practices and Processes;
Management Succession;
Management Systems;
Resource Allocation;
Market Entry and Exit;
Measurement and Metrics;
Logistics;
Business Processes;
Organizational Change and Adaptation;
Public Ownership;
Problems and Challenges;
Science;
Genetics;
Natural Environment;
Wastes and Waste Processing;
Science-Based Business;
Opportunities;
Strategy;
Adaptation;
Business Strategy;
Competition;
Competitive Strategy;
Competitive Advantage;
Consolidation;
Corporate Strategy;
Diversification;
Expansion;
Technology;
Software;
Technology Networks;
Technology Platform;
Value;
Valuation;
Aerospace Industry;
Auto Industry;
Biotechnology Industry;
Chemical Industry;
Computer Industry;
Construction Industry;
Consumer Products Industry;
Distribution Industry;
Electronics Industry;
Food and Beverage Industry;
Health Industry;
Industrial Products Industry;
Information Technology Industry;
Manufacturing Industry;
Medical Devices and Supplies Industry;
Pharmaceutical Industry;
Retail Industry;
Rubber Industry;
Semiconductor Industry;
Shipping Industry;
Technology Industry;
Telecommunications Industry;
Utilities Industry;
United States;
District of Columbia