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- Faculty Publications (3,145)
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- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical... View Details
Keywords: Metrics; Influence; Status; Citations; Science; Measurement and Metrics; Research; Perception
Teplitskiy, Misha, Eamon Duede, Michael Menietti, and Karim R. Lakhani. "How Status of Research Papers Affects the Way They Are Read and Cited." Research Policy 51, no. 4 (May 2022).
- April 2022
- Case
Mastercard: Creating a World Beyond Cash
In late 2021, Mastercard CEO Michael Miebach and Chairman and former CEO Ajaypal “Ajay” Banga considered how Mastercard could best position itself for continued success in the years to come. Since Mastercard’s initial public offering in 2006, the company had grown and... View Details
Keywords: Technological Innovation; Leadership; Leading Change; Organizational Culture; Business Strategy; Change; Change Management; Money; Cash; Credit; Financial Institutions; Banks and Banking; Central Banking; Financial Instruments; Credit Cards; Financial Markets; Globalization; Innovation and Invention; Innovation and Management; Innovation Strategy; Leadership Style; Competitive Advantage; Corporate Strategy; Diversification; Information Technology; Banking Industry; Financial Services Industry; North and Central America; United States; New York (state, US)
Gupta, Sunil, Linda A. Hill, Julia Kelley, and Emily Tedards. "Mastercard: Creating a World Beyond Cash." Harvard Business School Case 522-001, April 2022.
- April 12, 2022
- Article
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
- April 2022 (Revised June 2022)
- Case
Michael Lomax at UNCF
By: Joseph B. Fuller, Sarah Gulick and Susie L. Ma
Fuller, Joseph B., Sarah Gulick, and Susie L. Ma. "Michael Lomax at UNCF." Harvard Business School Case 322-100, April 2022. (Revised June 2022.)
- Article
A Career Life-Cycle Perspective on Women's Health and Safety
By: Robert S. Kaplan, Chizoba L. Chukwura, Gregory H. Gorman, Vivian S. Lee, Chester B. Good, Kathleen L. Martin, Gregory A. Ator and Michael D. Parkinson
Women's health has demanded more attention from employers as women integrated into the workforce. Traditionally male-dominant fields and occupations require special attention to workplace design, physical standards for entry, employment practices, equipment, and health... View Details
Keywords: Women's Health; Healthcare Access; Workplace Design; Military Health System; Occupational Health; Medical Equipment & Devices; Employees; Gender; Personal Development and Career
Kaplan, Robert S., Chizoba L. Chukwura, Gregory H. Gorman, Vivian S. Lee, Chester B. Good, Kathleen L. Martin, Gregory A. Ator, and Michael D. Parkinson. "A Career Life-Cycle Perspective on Women's Health and Safety." Journal of Occupational and Environmental Medicine 64, no. 4 (April 2022): 267–270.
- April 2022
- Article
Consumers Value Effort over Ease When Caring for Close Others
By: Ximena Garcia-Rada, Mary Steffel, Elanor F. Williams and Michael I. Norton
Many products and services are designed to make caregiving easier, from premade meals for feeding families to robo-cribs that automatically rock babies to sleep. Yet, using these products may come with a cost: consumers may feel they have not exerted enough effort.... View Details
Keywords: Effor; Caregiving; Close Relationships; Symbolic Meaning; Signaling; Relationships; Consumer Behavior; Perception
Garcia-Rada, Ximena, Mary Steffel, Elanor F. Williams, and Michael I. Norton. "Consumers Value Effort over Ease When Caring for Close Others." Journal of Consumer Research 48, no. 6 (April 2022): 970–990.
- Article
The Conversational Circumplex: Identifying, Prioritizing, and Pursuing Informational and Relational Motives in Conversation
By: Michael Yeomans, Maurice E. Schweitzer and Alison Wood Brooks
The meaning of success in conversation depends on people’s goals. Often, individuals pursue multiple goals simultaneously, such as establishing shared understanding, making a favorable impression, and persuading a conversation partner. In this article, we introduce a... View Details
Keywords: Conversation; Goal Pursuit; Communication; Interpersonal Communication; Goals and Objectives; Framework
Yeomans, Michael, Maurice E. Schweitzer, and Alison Wood Brooks. "The Conversational Circumplex: Identifying, Prioritizing, and Pursuing Informational and Relational Motives in Conversation." Current Opinion in Psychology 44 (April 2022): 293–302.
- 2022
- Working Paper
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni
Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),... View Details
Keywords: COVID-19; Health Pandemics; Policy; Framework; Cost vs Benefits; Outcome or Result; United States; Germany; Brazil; Singapore; Spain
Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. "THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions." Working Paper, April 2022.
- March 31, 2022
- Article
Two Approaches to Capping Health Care Prices
By: Michael E. Chernew, Maximilian J. Pany and Leemore S. Dafny
High health care prices for the privately-insured contribute to high premiums, which put downward pressure on wages, and induce employers to reduce benefit generosity and charge employees more for coverage. As the average annual premium for family coverage currently... View Details
Chernew, Michael E., Maximilian J. Pany, and Leemore S. Dafny. "Two Approaches to Capping Health Care Prices." Health Affairs Forefront (March 31, 2022).
- March 2022 (Revised July 2022)
- Technical Note
Exploratory Data Analysis
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised July 2022.)
- March 2022 (Revised July 2022)
- Technical Note
Linear Regression
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised July 2022.)
- March 2022 (Revised July 2022)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised July 2022.)
- March 2022 (Revised July 2022)
- Technical Note
Statistical Inference
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Statistical Inference." Harvard Business School Technical Note 622-099, March 2022. (Revised July 2022.)
- March 2022
- Article
Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective
By: Michael Beer
Beer, Michael. "Developing Strategic Human Resource Theory and Making a Difference: An Action Science Perspective." Art. 100632. Human Resource Management Review 32, no. 1 (March 2022).
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- February 2022 (Revised August 2022)
- Case
Defense Logistics Agency: Dynamic Vaccine Distribution at Scale
By: Hise Gibson, Gary P. Pisano, Pettis Kent and Michael Norris
Gibson, Hise, Gary P. Pisano, Pettis Kent, and Michael Norris. "Defense Logistics Agency: Dynamic Vaccine Distribution at Scale." Harvard Business School Case 622-078, February 2022. (Revised August 2022.)
- February 2022
- Teaching Note
Yellow Digital Retailers: Providing Solar Electricity to Transform Rural Africa
By: Lynda M. Applegate and Michael Norris
- Article
A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies
By: Katherine L. Milkman, Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22... View Details
Keywords: Vaccination; Vaccines; Nudges; Communication Strategy; Communication Technology; Consumer Behavior; Health Care and Treatment
Milkman, Katherine L., Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp, and Angela L. Duckworth. "A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies." e2115126119. Proceedings of the National Academy of Sciences 119, no. 6 (February 8, 2022).
- 2022
- Book
Corporate Explorer: How Corporations Beat Startups at the Innovation Game
By: Andrew Binns, Charles A. O'Reilly III and Michael Tushman
Innovation used to be seen as a game best left to entrepreneurs, but now a new breed of corporate managers is flipping this logic on its head. These Corporate Explorers have the insight, resilience, and discipline to overcome the obstacles and build new ventures from... View Details
Keywords: Organization Change And Adaptation; Disruptive Innovation; Organizational Change and Adaptation; Innovation and Management; Leading Change
Binns, Andrew, Charles A. O'Reilly III, and Michael Tushman. Corporate Explorer: How Corporations Beat Startups at the Innovation Game. Hoboken, NJ: Wiley, 2022.