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- June 2022
- Article
The Use and Misuse of Patent Data: Issues for Finance and Beyond
By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing...
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
- May 2022
- Supplement
Borusan CAT: Monetizing Prediction in the Age of AI (B)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool....
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- May 2022
- Article
Embracing Field Studies as a Tool for Learning
Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field—which researchers currently favour—we should also conduct field studies that aim to learn in the field...
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Jachimowicz, Jon M. "Embracing Field Studies as a Tool for Learning." Nature Reviews Psychology 1, no. 5 (May 2022): 249–250.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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Keywords:
Machine Learning Models;
Counterfactual Explanations;
Adversarial Examples;
Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- May 2022
- Article
Variance Analysis: New Insights from Health Care Applications
By: Robert S. Kaplan and Susanna Gallani
We use a health care application to illustrate how variance analysis can be used to benchmark costs across similar service delivery sites. Variances for personnel costs, typically the largest cost component in service organizations, are calculated for price, quantity,...
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Keywords:
Variance Analysis;
Benchmarking;
Time-Driven Activity-Based Costing;
Health Care;
Activity Based Costing and Management;
Health Care and Treatment;
Service Delivery;
Service Industry
Kaplan, Robert S., and Susanna Gallani. "Variance Analysis: New Insights from Health Care Applications." Issues in Accounting Education 37, no. 2 (May 2022): 27–36.
- 2022
- Working Paper
An Anatomy of Performance Monitoring
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Performance monitoring is a mainstay management tool in most organizations. Yet we still know little about whether—and why—better monitoring yields better performance in practice. To shed light on these questions, we study the introduction of a performance monitoring...
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Keywords:
Performance Monitoring;
Worker Skills;
Skill Depreciation;
Managerial Inattention;
On-the-job Training;
Productivity;
Multitasking;
Quick Serve Restaurants;
Performance Evaluation;
Employees;
Competency and Skills;
Training;
Performance Productivity;
Management;
Information Technology;
Food and Beverage Industry;
Puerto Rico
Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "An Anatomy of Performance Monitoring." Harvard Business School Working Paper, No. 22-066, March 2022.
- March 2022
- Case
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern and Alpana Thapar
In mid-January 2022, Nadine Hachach-Haram, founder and CEO of Proximie, was thinking about the company’s growth plans. Launched in 2016, Proximie was a platform that enabled clinicians, proctors, and medical device company personnel to be virtually present in operating...
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- March 2022
- Teaching Note
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira
Teaching Note for HBS Case No. 621-055.
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- Article
Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps
By: Claudia Engel, Jonathan Rodden and Marco Tabellini
Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported...
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Engel, Claudia, Jonathan Rodden, and Marco Tabellini. "Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps." Science Advances 8, no. 11 (March 18, 2022).
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in...
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Keywords:
Analytics and Data Science;
Government Administration;
Leadership;
Transformation;
City;
Measurement and Metrics;
Public Administration Industry;
Boston;
United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- January–February 2022
- Article
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience...
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Keywords:
Automation;
Domain Experience;
Algorithmic Aversion;
Experts;
Algorithms;
Machine Learning;
Future Of Work;
Employees;
Experience and Expertise;
Decision Making;
Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
- January 2022
- Technical Note
Introduction to Capital Structure Analytics
By: Samuel Antill and Ted Berk
This technical note provides an overview of key analytical approaches that are useful in assessing the appropriateness of a firm’s capital structure and funding plan. This note introduces basic quantitative tools and metrics that are commonly used as inputs to this...
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- January 2022 (Revised March 2022)
- Module Note
Analysis of Financial and Non-Financial Information for Forecasting Performance
This note describes the main themes and cases of a teaching module on the analysis of information from, and outside of, financial statements for forecasting firms’ future financial performance. The module’s pedagogical goal is to deepen students’ understanding of the...
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Wang, Charles C.Y. "Analysis of Financial and Non-Financial Information for Forecasting Performance." Harvard Business School Module Note 122-071, January 2022. (Revised March 2022.)
- Article
Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint
By: Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna and Satchit Balsari
In the wake of the COVID-19 pandemic, digital health tools have been deployed by governments around the world to advance clinical and population health objectives. Few interventions have been successful or have achieved sustainability or scale. In India, government...
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Keywords:
Digital Health Tools;
Human-centered Design;
Health Care and Treatment;
Mobile and Wireless Technology;
Design;
Technology Adoption
Shaikh, Ahmed, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna, and Satchit Balsari. "Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint." Journal of Medical Internet Research 24, no. 1 (January 2022).
- Column
The Changing Geography of Work: Priorities for Policy Makers
The COVID-19 pandemic thrust the issue of how and where we work into the spotlight. The adoption of remote and hybrid work increased exponentially as lockdowns necessitated social distancing. But now, as we enter a new phase of the pandemic, the Geography of Work—where...
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Keywords:
Remote Work;
Hybrid Work Model;
Work-from-anywhere;
Employees;
Geographic Location;
Policy
Choudhury, Prithwiraj. "The Changing Geography of Work: Priorities for Policy Makers." OECD Forum Network (December 6, 2021).
- December 1, 2021
- Article
Do You Know How Your Teams Get Work Done?
By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital...
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Keywords:
Leading Teams;
Work Recall Gap;
Machine Learning;
Algorithms;
Groups and Teams;
Management;
Technological Innovation
Murty, Rohan Narayana, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna, and Kartik Hosanagar. "Do You Know How Your Teams Get Work Done?" Harvard Business Review Digital Articles (December 1, 2021).
- October 2021
- Article
Changing Gambling Behavior through Experiential Learning
By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling....
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Keywords:
Debiasing;
Experiential Learning;
Behavioral Economics;
Financial Education;
Learning;
Games, Gaming, and Gambling;
Behavior;
Decision Making
Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
- September 2021
- Case
On the Bubble: Startup Bootstrapping
By: Jeffrey J. Bussgang, Tom Quinn and Annelena Lobb
Bubble was a software company in the low-code/no-code market, making tools that allowed users without traditional programming backgrounds or technical skills to build software. The case covers cofounder Joshua Haas’s engineering background, as he experienced a high...
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Keywords:
Business Startups;
Business Growth and Maturation;
Business Model;
Business Plan;
Disruption;
Transformation;
Trends;
Customer Focus and Relationships;
Customer Relationship Management;
Decision Making;
Cost vs Benefits;
Decisions;
Entrepreneurship;
Venture Capital;
Equity;
Executive Compensation;
Recruitment;
Selection and Staffing;
Disruptive Innovation;
Technological Innovation;
Job Interviews;
Growth and Development Strategy;
Ownership Stake;
Opportunities;
Applications and Software;
Technology Adoption;
Technology Industry;
Web Services Industry;
New York (city, NY);
California;
France
Bussgang, Jeffrey J., Tom Quinn, and Annelena Lobb. "On the Bubble: Startup Bootstrapping." Harvard Business School Case 822-033, September 2021.
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...
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Keywords:
Artificial Intelligence;
Algorithmic Bias;
Technological Innovation;
Perception;
Diversity;
Equality and Inequality;
Trust;
AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
- 2021
- Other Unpublished Work
Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2
By: Daniel J. Sturtevant, Carliss Baldwin, Alan MacCormack, Sunny Ahn and Sean Gilliland
An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as...
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Sturtevant, Daniel J., Carliss Baldwin, Alan MacCormack, Sunny Ahn, and Sean Gilliland. "Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2." Cambridge, MA, September 2021.