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- September 2021
- Article
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... View Details
Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
- 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... View Details
Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." NBER Working Paper Series, No. 25399, December 2018.
- 18 Feb 2019
- Working Paper Summaries
Diagnostic Bubbles
- 09 Aug 2004
- Research & Ideas
A Diagnostic for Disruptive Innovation
the draw anymore. By conducting a series of diagnostics, companies in any industry can quickly identify the most promising opportunities. This article shows how to conduct customer, portfolio, and competitor diagnostics to pinpoint the... View Details
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- 2022
- Working Paper
Overreaction and Diagnostic Expectations in Macroeconomics
By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges... View Details
Keywords: Overreaction; Rational Expectations; Macroeconomics; Market Participation; Social Psychology
Bordalo, Pedro, Nicola Gennaioli, and Andrei Shleifer. "Overreaction and Diagnostic Expectations in Macroeconomics." NBER Working Paper Series, No. 30356, August 2022.
- July–August 2011
- Article
Putting Business Models Under the Microscope
By: K. Merchant, Tatiana Sandino and D. Huelsbeck
The article provides advice for financial managers on evaluating business models for corporate performance measurement. Emphasis is given to a study sponsored by the Chartered Institute of Management Accountants (CIMA) that examined the business model of a medical... View Details
Merchant, K., Tatiana Sandino, and D. Huelsbeck. "Putting Business Models Under the Microscope." Financial Management (CIMA) (July–August 2011), 54–55.
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- 2013
- Working Paper
Helping You Help Me: The Role of Diagnostic (In)congruence in the Helping Process within Organizations
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
Through an inductive, multi-method field study at a major design firm, we investigated the helping process in project work and how that process affects the success of a helping episode, as perceived by help-givers and/or -receivers. We used daily diary entries and... View Details
Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Helping You Help Me: The Role of Diagnostic (In)congruence in the Helping Process within Organizations." Harvard Business School Working Paper, No. 14-003, July 2013.
- November 2021 (Revised December 2021)
- Case
Praava Health: A New Model for Bangladesh
By: Michael Chu
Launched in Dhaka, Bangladesh, in 2018, Praava Health (‘Praava’) delivered high-quality in-clinic primary and specialist care, backed by its own high quality diagnostic laboratories, imaging and pharmacy. Praava was founder Sylvana Sinha’s response to what she saw as a... View Details
Keywords: Entrepreneurship; Health Care and Treatment; Investment Return; Mobile and Wireless Technology; Business Model; Growth and Development Strategy; Health Industry; Bangladesh; Asia
Chu, Michael. "Praava Health: A New Model for Bangladesh." Harvard Business School Case 322-067, November 2021. (Revised December 2021.)
- 2022
- Article
Nonparametric Subset Scanning for Detection of Heteroscedasticity
By: Charles R. Doss and Edward McFowland III
We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning... View Details
Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
- February 2016 (Revised September 2017)
- Case
Neurotrack and the Alzheimer's Puzzle
By: Richard G. Hamermesh, Liz Kind and Carin-Isabel Knoop
Elli Kaplan founded Neurotrack in 2012 with a breakthrough noninvasive cognitive diagnostics test that will detect Alzheimer's disease in its earliest pre-symptomatic stages. While the company has gained great traction in the three years since it was started, with no... View Details
Keywords: Alzheimer's Disease; Diagnostics; Healthcare; Entrepreneurship; Health Disorders; Science-Based Business; Business Model; Medical Devices and Supplies Industry; United States
Hamermesh, Richard G., Liz Kind, and Carin-Isabel Knoop. "Neurotrack and the Alzheimer's Puzzle." Harvard Business School Case 816-072, February 2016. (Revised September 2017.)
- 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.... View Details
Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 2021.
- 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... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- 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... View Details
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
Wells, John R., and Gabriel Ellsworth. "Danaher Corporation, 2007–2017." Harvard Business School Case 717-464, January 2017.
- January 2002 (Revised October 2005)
- Case
General Electric Medical Systems 2002
By: Tarun Khanna and James Weber
Discusses one of General Electric's flagship divisions--the world's leading provider of medical diagnostic imaging equipment. Provides an opportunity to examine a multinational confronting massive technological and demographic changes around the world. Genomics has... View Details
Keywords: Information Technology; Business Model; Change Management; Multinational Firms and Management; Genetics; Customer Value and Value Chain; Age; Medical Devices and Supplies Industry; China; United States
Khanna, Tarun, and James Weber. "General Electric Medical Systems 2002." Harvard Business School Case 702-428, January 2002. (Revised October 2005.)
- September 1997
- Case
Radiology Management Sciences
Radiology Management Sciences (RMS) analyzes diagnostic imaging claims to help HMOs and insurers control utilization. As industry changes threaten RMS's profitability, the company's founders contemplate two alternative business models. View Details
Corts, Kenneth S., and Grady M. Clouse. "Radiology Management Sciences." Harvard Business School Case 798-009, September 1997.
- 2021
- Working Paper
Diagnosing Quality: Learning, Amenities, and the Demand for Health Care
By: Achyuta Adhvaryu, Emilio Gutierrez, Anant Nyshadham and Jorge Tamayo
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... View Details
Keywords: Health Care Demand; Amenities; Health Care Quality; Cataracts; Surgery; Health Care and Treatment; Demand and Consumers; Quality; Learning; Mexico
Adhvaryu, Achyuta, Emilio Gutierrez, Anant Nyshadham, and Jorge Tamayo. "Diagnosing Quality: Learning, Amenities, and the Demand for Health Care." Harvard Business School Working Paper, No. 21-110, March 2021.