Filter Results:
(1,019)
Show Results For
- All HBS Web
(2,348)
- People (22)
- News (636)
- Research (1,019)
- Events (32)
- Multimedia (17)
- Faculty Publications (519)
Show Results For
- All HBS Web
(2,348)
- People (22)
- News (636)
- Research (1,019)
- Events (32)
- Multimedia (17)
- Faculty Publications (519)
Sort by
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
- 2013
- Working Paper
How Do Risk Managers Become Influential? A Field Study in Two Financial Institutions
By: Matthew Hall, Anette Mikes and Yuval Millo
This paper, based on a five-year longitudinal study at two UK-based banks, documents and analyzes the practices used by risk managers as they aim to gather and establish influence in their organizations. Specifically, we examine how influence-seeking risk managers (1)... View Details
Keywords: Experience and Expertise; Decision Making; Risk Management; Strategic Planning; Power and Influence; Business Strategy; Banking Industry
Hall, Matthew, Anette Mikes, and Yuval Millo. "How Do Risk Managers Become Influential? A Field Study in Two Financial Institutions." Harvard Business School Working Paper, No. 11-068, January 2011. (Revised October 2013.)
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 14 May 2019
- Working Paper Summaries
Do Experts Listen to Other Experts? Field Experimental Evidence from Scientific Peer Review
- June 2022 (Revised January 2025)
- Technical Note
Causal Inference
By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
- March 2015 (Revised January 2020)
- Case
Behavioural Insights Team (A)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; Decision Choices and Conditions; Consumer Behavior; Taxation; Economics; Public Administration Industry; United Kingdom
Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (A)." Harvard Business School Case 915-024, March 2015. (Revised January 2020.)
- 04 Jul 2016
- Research & Ideas
Is Your Org Chart Stuck in a Rut? Try a Scientific Experiment
immediate goals that are specific to an individual organization than on predictive outcomes that are generalizable to all organizations. “That’s the reality of using field experiments for research—it’s never... View Details
Keywords: by Carmen Nobel
- 2015
- Working Paper
Blinded by Experience: Prior Experience, Negative News and Belief Updating
By: Bradley R. Staats, Diwas S. KC and Francesca Gino
Traditional models of operations management involve dynamic decision-making assuming optimal (Bayesian) updating. However, behavioral theory suggests that individuals exhibit bias in their beliefs and decisions. We conduct both a field study and two laboratory studies... View Details
Keywords: Behavioral Operations; Egocentric Bias; Experience; Healthcare Operations; Prejudice and Bias; Behavior; Operations; Decision Making; Health Care and Treatment
Staats, Bradley R., Diwas S. KC, and Francesca Gino. "Blinded by Experience: Prior Experience, Negative News and Belief Updating." Harvard Business School Working Paper, No. 16-015, August 2015.
- March 2016 (Revised January 2020)
- Teaching Note
Behavioural Insights Team (A) and (B)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
- March 2015 (Revised January 2020)
- Supplement
Behavioural Insights Team (B)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; United Kingdom
Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (B)." Harvard Business School Supplement 915-025, March 2015. (Revised January 2020.)
- Research Summary
Overview
Professor Coffman studies the sources of gender gaps in economically-important contexts. Her work focuses on the role of beliefs: how do stereotypes bias the beliefs that individuals hold about themselves (and others), and how do these biased beliefs shape... View Details
- Article
Cheating, Inequality Aversion, and Appealing to Social Norms
By: Clara Amato, Francesca Gino, Natalia Montinari and Pierluigi Sacco
We conduct a field experiment involving 143, 9-years old children in their classrooms. Children are requested to flip a coin in private and receive a big or a small prize depending on the outcome they report. Comparing the actual and theoretical distribution of... View Details
Keywords: Cheating; Inequality Aversion; Social Norms; Children; Experiment; Behavior; Equality and Inequality; Moral Sensibility
Amato, Clara, Francesca Gino, Natalia Montinari, and Pierluigi Sacco. "Cheating, Inequality Aversion, and Appealing to Social Norms." Journal of Economic Behavior & Organization 179 (November 2020): 767–778.
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- April 2014
- Case
Ford Motor Company: Blueprint for Mobility
By: Karim R. Lakhani, Marco Iansiti and Noah Fisher
Mark Fields, Ford Motor Company's COO, had to ensure the company's current business model of building cars and trucks remained strong, while concurrently navigating the company into the rapidly expanding industry of personal mobility. Personal mobility required new... View Details
Keywords: Automobiles; Automobile Manufacturing; Ford Motor Company; Mark Fields; Blueprint For Mobility; Dearborn; Michigan; Car Sharing; Parking; On-demand Ride Sharing; Strategy; Business Model; Auto Industry; Michigan; United States
Lakhani, Karim R., Marco Iansiti, and Noah Fisher. "Ford Motor Company: Blueprint for Mobility." Harvard Business School Case 614-018, April 2014.
- 2020
- Working Paper
Social Attachment to Place and Psychic Costs of Geographic Mobility: How Distance from Hometown and Vacation Flexibility Affect Job Performance
By: Prithwiraj Choudhury and Ohchan Kwon
Using a natural experiment and field interviews, this paper studies how social attachment to place imposes psychic costs on workers who experience geographic mobility. This is especially salient when workers are assigned to locations far from their hometown, which may... View Details
Keywords: Distance From Hometown; Social Attachment To Place; Psychic Costs; Worker Performance; Natural Experiment; Geographic Location; Familiarity; Employees; Performance; India
Choudhury, Prithwiraj, and Ohchan Kwon. "Social Attachment to Place and Psychic Costs of Geographic Mobility: How Distance from Hometown and Vacation Flexibility Affect Job Performance." Harvard Business School Working Paper, No. 19-010, August 2018. (Revised January 2020.)
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- 21 May 2012
- Research & Ideas
OSHA Inspections: Protecting Employees or Killing Jobs?
measures. When he and colleague David I. Levine heard of a program at California OSHA to conduct randomized inspections of workplaces, they realized they had the perfect real-world experiment to settle the... View Details
Keywords: by Michael Blanding