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All HBS Web
(1,509)
- Faculty Publications (415)
- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from...
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Keywords:
Monitoring;
Transparency;
Polarization;
Body Worn Cameras;
Quasi Field Experiment;
Analytics and Data Science;
Employees;
Perception;
Law Enforcement
Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
- 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....
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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...
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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...
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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...
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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
- Case
GrowSari (A): Design for the Last Mile Customer
By: Brian Trelstad, Cam Carag and Michi Ferreol
Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,...
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Keywords:
Fast Moving Consumer Goods;
Product Launch;
Information Technology;
Analytics and Data Science;
Digital Platforms;
Retail Industry;
Consumer Products Industry;
Technology Industry;
Philippines
Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (A): Design for the Last Mile Customer." Harvard Business School Case 322-036, March 2022.
- March 2022
- Supplement
GrowSari (B)
By: Brian Trelstad, Cam Carag and Michi Ferreol
Case supplement for HBS Case No. 322-036. Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed...
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Keywords:
Fast Moving Consumer Goods;
Product Launch;
Information Technology;
Analytics and Data Science;
Digital Platforms;
Retail Industry;
Consumer Products Industry;
Technology Industry;
Philippines
Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (B)." Harvard Business School Supplement 322-037, March 2022.
- March 2022 (Revised August 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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Keywords:
Growth and Development Strategy;
Technological Innovation;
Partners and Partnerships;
Strategic Planning;
Health Care and Treatment;
Analytics and Data Science;
Digital Platforms;
Health Industry;
Lebanon;
United Kingdom;
United States
Stern, Ariel D., and Alpana Thapar. "Proximie: Using XR Technology to Create Borderless Operating Rooms." Harvard Business School Case 622-082, March 2022. (Revised August 2022.)
- March 2022
- Teaching Note
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This teaching note provides guidance for instructors teaching “Digital Manufacturing at Amgen,” case no. 621-008.
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Keywords:
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information Technology;
Analytics and Data Science;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
- March 2022 (Revised January 2024)
- Case
Moksha Data: Delivering Insights for Public Service
By: Ashish Nanda and Zack Kurtovich
Moksha Data, a boutique consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. The Houston-based firm had built momentum...
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Keywords:
Professional Service Firms;
Professional Service Firm;
Strategy Formulation;
Data;
Data As A Service;
Government Contracting;
Consulting;
Consulting Firms;
Consulting Services;
Entrepreneurship;
Public Sector;
Analytics and Data Science;
Growth and Development;
Strategy;
Consulting Industry;
Texas
Nanda, Ashish, and Zack Kurtovich. "Moksha Data: Delivering Insights for Public Service." Harvard Business School Case 722-397, March 2022. (Revised January 2024.)
- 2022
- White Paper
Census II of Free and Open Source Software - Application Libraries
By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data...
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Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. "Census II of Free and Open Source Software - Application Libraries." White Paper, Linux Foundation and Laboratory for Innovation Science at Harvard, 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...
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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
- 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.
- February 2022
- Teaching Plan
Community Solutions
By: Brian Trelstad and Tom Quinn
Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached...
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- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2022
- Chapter
Measuring Compliance Risk and the Emergence of Analytics
By: Eugene F. Soltes
Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct...
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Keywords:
Compliance;
Risk;
Analytics;
Governance Compliance;
Governing Rules, Regulations, and Reforms;
Risk Management;
Analytics and Data Science
Soltes, Eugene F. "Measuring Compliance Risk and the Emergence of Analytics." Chap. 8 in Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention, edited by Melissa Rorie and Benjamin van Rooij, 137–152. Cambridge University Press, 2022.
- January 2022 (Revised February 2022)
- Case
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say...
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Keywords:
Jobs and Positions;
Compensation and Benefits;
Performance;
Performance Productivity;
Measurement and Metrics;
Analytics and Data Science;
Value;
Business or Company Management;
Performance Evaluation;
Business and Shareholder Relations
Heese, Jonas, Charles C.Y. Wang, and James Weber. "Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?" Harvard Business School Case 122-061, January 2022. (Revised February 2022.)
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of...
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Keywords:
Artificial Intelligence;
Data Strategy;
Ecosystem;
Value Capture;
Digital Platforms;
Analytics and Data Science;
Strategy;
Learning;
Value Creation;
AI and Machine Learning;
Technology Industry;
Information Technology Industry;
Video Game Industry;
Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- 2022
- Working Paper
Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module
By: Erica Field, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy and Charity Troyer Moore
Time use data can help us understand individual labor supply choices, especially
for women who often provide unpaid care and home production. Although
enumerator-assisted diary-based time use data collection is suitable for
low-literacy populations, it is costly and...
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Keywords:
Time Use;
Household;
Rural Scope;
Developing Countries and Economies;
Time Management;
Analytics and Data Science;
Surveys
Field, Erica, Rohini Pande, Natalia Rigol, Simone Schaner, Elena Stacy, and Charity Troyer Moore. "Measuring Time Use in Rural India: Design and Validation of a Low-Cost Survey Module." NBER Working Paper Series, No. 29671, January 2022. (Revised September 2022.)
- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial...
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Keywords:
Information Technology;
Applications and Software;
Digital Platforms;
Internet and the Web;
Strategy;
Expansion;
Business Strategy;
Labor;
Employment;
Human Capital;
Jobs and Positions;
Job Design and Levels;
Job Search;
Human Resources;
Selection and Staffing;
Recruitment;
Employees;
Retention;
Competency and Skills;
Experience and Expertise;
Talent and Talent Management;
Analytics and Data Science;
Business Model;
Technology Industry;
North and Central America;
United States
Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.