Publications

Web

Technology & Operations Management Curriculum - Faculty & Research

van Bever Fall 2024 Q1Q2 3.0 Allison Mnookin , Willy Shih Spring 2025 Q3Q4 3.0 Building and Sustaining a Successful Enterprise Q4 Willy Shih Spring 2025 Q4 1.5 Data Science for Managers 2 Michael Parzen Fall 2024 Q2 1.5 Michael Parzen... View Details

2024
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details

Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science

01 Sep 2023
News

The Exchange: Where Ethics Meet Economics

emergent ideas of behavioral economics, experimentation, and behavioral ethics. More people are interested in understanding how people actually behave, instead of living with the standard assumptions that economists have made for decades, and people are interested in... View Details

Keywords: Jen McFarland Flint; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services

2014
Chapter

The Intensive Margin of Technology Adoption

By: Diego A. Comin

We present a tractable model for analyzing the relationship between economic growth and the intensive and extensive margins of technology adoption. The "extensive" margin refers to the timing of a country's adoption of a new technology; the "intensive" margin refers to... View Details

Keywords: Economic Growth; Microeconomics; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Growth and Development Strategy; Relationships; Technology Adoption

September 2023 (Revised December 2023)
Case

TetraScience: Noise and Signal

By: Thomas R. Eisenmann and Tom Quinn

In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details

Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston

2022
Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details

Keywords: Analytics and Data Science; Research

Find at Harvard

February 2024
Case

ReSpo.Vision: The Kickstart of an AI Sports Revolution

By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson

This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details

Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe

2010
Working Paper

The Unbundling of Advertising Agency Services: An Economic Analysis

By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk

We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details

Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States

18 Dec 2007
First Look

First Look: December 18, 2007

Working PapersHappiness, Contentment and Other Emotions for Central Banks Authors:Rafael Di Tella and Robert MacCulloch Abstract We show that data on satisfaction with life from over 600,000 Europeans are negatively correlated with the... View Details

Keywords: Martha Lagace

May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

Web

Online Business Courses & Certifications | HBS Online

30 $2,650 Credential Business Analytics Professor Janice Hammond Unlock actionable insights by mastering data analysis techniques to solve real-world business challenges and drive informed decision-making. 8... View Details

Article

Paradise Lost (and Restored?): A Study of Psychological Safety over Time

By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson

Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details

Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry

Find at Harvard

05 Dec 2022
Research & Ideas

5 Companies Where Employees Move Up the Ladder Fast

workers lack a college degree. Combining that data from Lightcast, a labor market analytics company, with approximately 20 million self-reported salary records on Glassdoor, the authors tracked how workers... View Details

Keywords: by Pamela Reynolds

Web

HBS - The year in Review

the Harvard Business Analytics Program’s 400 participants who had attended virtual immersions in 2020 and 2021. Celebrating 100 Years of the Case Method The 2021-22 academic year marked the centennial of the introduction of the case... View Details

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

October 1, 2021
Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio

Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details

Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods