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- 2023
- Working Paper
Summarizing the Mental Customer Journey
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim and Tomer Ullman
How do consumers summarize and act on their experiences, as when deciding whether an interaction with a firm was satisfying and whether to buy from it? Previous work on the summary of continuous experiences has tended to focus on a handful of experience patterns and...
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Keywords:
Customer Experience;
Customer Journey;
Natural Language Processing;
Summarization;
Customer Satisfaction;
Outcome or Result;
Decision Choices and Conditions
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim, and Tomer Ullman. "Summarizing the Mental Customer Journey." Harvard Business School Working Paper, No. 23-038, January 2023.
- 2022
- Working Paper
Getting on the Map: The Impact of Online Listings on Business Performance
By: Michael Luca, Abhishek Nagaraj and Gauri Subramani
We evaluate the extent to which small businesses maintain an online presence, looking at restaurant listings on a major online review platform. While the majority of restaurants have an online presence, we find that roughly 18 percent in our sample have no presence as...
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Keywords:
Small Business;
Internet and the Web;
Revenue;
Digital Marketing;
Food and Beverage Industry
Luca, Michael, Abhishek Nagaraj, and Gauri Subramani. "Getting on the Map: The Impact of Online Listings on Business Performance." Harvard Business School Working Paper, No. 23-031, December 2022.
- 2022
- Article
Becoming a Learning Organization While Enhancing Performance: The Case of LEGO
By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with
leaders as learning facilitators in an action learning approach, can be transferred from a production context to a
knowledge work context for the purpose...
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Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
- December 2022
- Article
Social Skills Improve Business Performance: Evidence from a Randomized Control Trial with Entrepreneurs in Togo
By: Stefan Dimitriadis and Rembrand Koning
Recent field experiments demonstrate that advice, mentorship, and feedback from randomly assigned peers improve entrepreneurial performance. These results raise a natural question: what is preventing entrepreneurs and managers from forming these peer connections...
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Keywords:
Social Skills;
Business Performance;
Entrepreneurs;
Peer Relationships;
Field Experiment;
Entrepreneurship;
Performance;
Relationships;
Interpersonal Communication;
Togo
Dimitriadis, Stefan, and Rembrand Koning. "Social Skills Improve Business Performance: Evidence from a Randomized Control Trial with Entrepreneurs in Togo." Management Science 68, no. 12 (December 2022): 8635–8657.
- November–December 2022
- Article
Your Company Needs a Space Strategy. Now.
By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau
Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism. To understand what the opportunities are for your company, the authors advise you to consider the four ways in...
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Keywords:
Space Strategy;
Emerging Markets;
Natural Resources;
Analytics and Data Science;
Organizational Change and Adaptation;
Adaptation;
Competition;
Aerospace Industry
Weinzierl, Matthew, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack, and Brendan Rosseau. "Your Company Needs a Space Strategy. Now." Harvard Business Review (November–December 2022): 80–91.
- 2023
- Working Paper
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Harvard Business School Working Paper, No. 23-023, October 2022. (Revised April 2023.)
- 2022
- Working Paper
The Gender Gap in Confidence: Expected But Not Accounted For
By: Christine L. Exley and Kirby Nielsen
We investigate how the gender gap in confidence affects the views that evaluators (e.g., employers) hold about men and women. If evaluators fail to account for the confidence gap, it may cause overly pessimistic views about women. Alternatively, if evaluators expect...
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Keywords:
Confidence;
Experiments;
Gender;
Perception;
Values and Beliefs;
Performance Evaluation;
Analysis
Exley, Christine L., and Kirby Nielsen. "The Gender Gap in Confidence: Expected But Not Accounted For." Working Paper, October 2022.
- 2023
- Working Paper
The Dark Side of Generative AI: Chatbots and Mental Health
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the
‘black box’ nature of the algorithms, it is impossible to predict in advance how these
conversations will unfold. Behavioral research provides little insight into potential...
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Keywords:
Autonomy;
Artificial Intelligence;
Chatbots;
New Technology;
Brand Crises;
Ethics;
Mental Health;
AI and Machine Learning;
Well-being;
Health;
Applications and Software
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "The Dark Side of Generative AI: Chatbots and Mental Health." Harvard Business School Working Paper, No. 23-011, August 2022. (Revised May 2023.)
- April 2022
- Article
Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft
By: Shunyuan Zhang, Dokyun Lee, Param Singh and Tridas Mukhopadhyay
We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal...
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Keywords:
Airbnb;
Uber;
Natural Experiment;
Geographic Demand Dispersion;
Sharing Economy;
Transportation;
Demand and Consumers;
Geographic Scope
Zhang, Shunyuan, Dokyun Lee, Param Singh, and Tridas Mukhopadhyay. "Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft." Journal of Marketing Research (JMR) 59, no. 2 (April 2022): 374–391.
- March 2022
- Article
How Much Does Your Boss Make? The Effects of Salary Comparisons
By: Zoë B. Cullen and Ricardo Perez-Truglia
The vast majority of the pay inequality in an organization comes from differences in pay between employees and their bosses. But are employees aware of these pay disparities? Are employees demotivated by this inequality? To address these questions, we conducted a...
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Keywords:
Salary;
Inequality;
Managers;
Career Concerns;
Pay Transparency;
Wages;
Equality and Inequality;
Perception;
Behavior
Cullen, Zoë B., and Ricardo Perez-Truglia. "How Much Does Your Boss Make? The Effects of Salary Comparisons." Journal of Political Economy 130, no. 3 (March 2022): 766–822.
- 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...
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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.
- February 2022
- Article
Borrowing to Save? The Impact of Automatic Enrollment on Debt
By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and William L. Skimmyhorn
Does automatic enrollment into a retirement plan increase financial distress due to increased borrowing outside the plan? We study a natural experiment created when the U.S. Army began automatically enrolling newly hired civilian employees into the Thrift Savings Plan....
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Keywords:
Retirement Savings;
Automatic Enrollment;
Choice Architecture;
Nudge;
Financial Distress;
Retirement;
Saving;
Borrowing and Debt;
Behavior
Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and William L. Skimmyhorn. "Borrowing to Save? The Impact of Automatic Enrollment on Debt." Journal of Finance 77, no. 1 (February 2022): 403–447.
- January 2022
- Article
Pushed into a Crowd: Repositioning Costs, Resources, and Competition in the RTE Cereal Industry
By: Young Hou and Dennis Yao
This paper exploits a natural experiment involving self-regulation in the ready-to-eat (RTE) breakfast cereal industry to evaluate the performance impact of product repositioning. It then examines how a product's brand equity value declines with repositioning distance...
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Keywords:
Positioning;
Resources;
Brand Equity;
Competitive Dynamics;
Non-market Strategy;
Regulation;
Repositioning;
Product Positioning;
Performance Evaluation;
Brands and Branding;
Competitive Strategy;
Consumer Products Industry
Hou, Young, and Dennis Yao. "Pushed into a Crowd: Repositioning Costs, Resources, and Competition in the RTE Cereal Industry." Strategic Management Journal 43, no. 1 (January 2022): 3–29.
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between...
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Keywords:
Natural Language Conversations;
AI and Machine Learning;
Experience and Expertise;
Interactive Communication;
Business and Stakeholder Relations
Lakkaraju, Himabindu, Dylan Slack, Yuxin Chen, Chenhao Tan, and Sameer Singh. "Rethinking Explainability as a Dialogue: A Practitioner's Perspective." Working Paper, 2022.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- Article
Measuring the Scientific Effectiveness of Contact Tracing: Evidence from a Natural Experiment
By: Thiemo Fetzer and Thomas Graeber
Contact tracing has for decades been a cornerstone of the public health approach to epidemics, including Ebola, severe acute respiratory syndrome, and now COVID-19. It has not yet been possible, however, to causally assess the method’s effectiveness using a randomized...
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Fetzer, Thiemo, and Thomas Graeber. "Measuring the Scientific Effectiveness of Contact Tracing: Evidence from a Natural Experiment." Proceedings of the National Academy of Sciences 118, no. 33 (August 17, 2021): 1–4.
- 2021
- Working Paper
Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention...
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Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression." Harvard Business School Working Paper, No. 22-006, August 2021.
- 2021
- Working Paper
Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes
We study how “contextual specialization,” the act of focusing workers’ organizational tasks within a particular locational context, and “contextual non-specialization,” the practice of diversifying workers’ organizational tasks among multiple locational contexts,...
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Keywords:
Talent and Talent Management;
Performance;
Experience and Expertise;
Selection and Staffing;
Strength and Weakness;
Personal Development and Career
Gibson, Hise O., Ryan W. Buell, and Prithwiraj Choudhury. "Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes." Harvard Business School Working Paper, No. 22-007, August 2021.
- July 2021
- Article
Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market
By: Hui Li and Feng Zhu
Platform competition is shaped by the likelihood of multi-homing (i.e., complementors or consumers adopt more than one platform). To take advantage of multi-homing, platform firms often attempt to motivate their rivals’ high-performing complementors to adopt their own...
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Keywords:
Platform Competition;
Multi-homing;
Information Transparency;
Daily Deals;
Groupon;
LivingSocial;
Digital Platforms;
Information;
Competition
Li, Hui, and Feng Zhu. "Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market." Management Science 67, no. 7 (July 2021): 4384–4407.
- June 2021 (Revised October 2021)
- Case
Nissan's Response to the COVID-19 Pandemic
By: Ananth Raman, William Schmidt and Ann Winslow
In January 2020, Ashwani Gupta took over as COO at Nissan Motor Corporation, and several weeks later, the COVID-19 pandemic began. Nissan’s Business Continuity Plan (BCP) had been key to the resilience of Nissan’s supply chain. It had enabled Nissan to recover from...
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Keywords:
Operations;
Supply Chain Management;
Health Pandemics;
Auto Industry;
Manufacturing Industry;
Japan;
India
Raman, Ananth, William Schmidt, and Ann Winslow. "Nissan's Response to the COVID-19 Pandemic." Harvard Business School Case 621-057, June 2021. (Revised October 2021.)