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Show Results For
- All HBS Web
(3,524)
- People (32)
- News (973)
- Research (1,554)
- Events (35)
- Multimedia (18)
- Faculty Publications (635)
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- 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.
- June 2023
- Article
How New Ideas Diffuse in Science
By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.
- 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
- 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.
- January–February 2021
- Article
Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword
By: Andreea Gorbatai, Cyrus Dioun and Kisha Lashley
Legitimacy is critical to the formation and expansion of nascent fields because it lends credibility and recognizability to once overlooked actors and practices. At the same time, legitimacy can be a double-edged sword precisely because it facilitates field growth,... View Details
Keywords: Legitimacy; Collective Identity; Emotional Contagion; Field-congifiguring Events; Empathy; Natural Language Processing; Mixed Methods; Organizational Culture; Emotions; Groups and Teams
Gorbatai, Andreea, Cyrus Dioun, and Kisha Lashley. "Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword." Organization Science 32, no. 1 (January–February 2021): 42–63.
- 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.
- 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).)
- 2017
- Working Paper
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
- August 2018
- Article
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
Keywords: Helping; Rhythm; Prosocial Behavior; External Team Leadership; Social Construction; Time; Qualitative Methods; Field Research; Groups and Teams; Projects; Behavior; Leadership; Social and Collaborative Networks
Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain." Academy of Management Journal 61, no. 4 (August 2018): 1524–1553.
- 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.
- 2020
- Working Paper
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously... View Details
Keywords: Cognitive Similarity; Knowledge Creation; Knowledge Sharing; Knowledge Dissemination; Relationships
Lane, Jacqueline N., Ina Ganguli, Patrick Gaule, Eva C. Guinan, and Karim R. Lakhani. "Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?" Harvard Business School Working Paper, No. 20-058, November 2019. (Revised July 2020.)
- 05 Dec 2011
- Research & Ideas
It’s Alive! Business Scholars Turn to Experimental Research
tools like an infrared eye tracker to measure eye movements and special vision software that analyzes facial expressions to gauge emotional responses. Experiments in the field are gaining popularity too,... View Details
Keywords: by Carmen Nobel
- Research Summary
Trust
By: Deepak Malhotra
My research on trust falls into two broad categories. First, I study barriers to trust development, and focus on mechanisms that might help to overcome these barriers. One recent project analyzes over 150,000 pages of documents concerning 102-interfirm disputes to... View Details
- 11 Apr 2014
- Working Paper Summaries
Learning By Thinking: How Reflection Improves Performance
- Research Summary
Health
"Can Higher Prices Stimulate Product Use? Evidence from a Field Experiment in Zambia." (with James Berry and Jesse Shapiro) August 2008, American Economic Review, December 2010.
- Article
Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market
By: Santosh Anagol, Shawn Cole and Shayak Sarkar
We conduct a series of field experiments to evaluate the quality of advice provided by life insurance agents in India. Agents overwhelmingly recommend unsuitable, strictly dominated products, which provide high commissions to the agent. Agents cater to the beliefs of... View Details
Keywords: Advice; Customers; Insurance; Service Operations; Motivation and Incentives; Ethics; India
Anagol, Santosh, Shawn Cole, and Shayak Sarkar. "Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market." Review of Economics and Statistics 99, no. 1 (March 2017).
- 2023
- Working Paper
When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement
By: Ryan W. Buell, Wei Cai and Tatiana Sandino
Gamified training is a novel management control system in which companies use gamification
techniques to engage and motivate employees to learn. This study empirically examines the
performance consequences of gamified training using data from a natural field... View Details
Keywords: Gamified Training; Management Control Systems; Employee Engagement; Employees; Learning; Training; Motivation and Incentives; Performance
Buell, Ryan W., Wei Cai, and Tatiana Sandino. "When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement." Harvard Business School Working Paper, No. 19-101, March 2019. (Revised October 2023.)