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Show Results For
- All HBS Web
(331)
- News (19)
- Research (271)
- Events (6)
- Multimedia (1)
- Faculty Publications (179)
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- Research Summary
1. When Does Industrial Policy Work? Evidence from the Brazilian Ethanol Fuel Industry
Joint work with Tarun Khanna (Strategy Unit, Harvard Business School).
Abstract: What is the impact of a state-led industrial policy program on entrepreneurial activity, industry... View Details
- Article
Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations
By: Joyce He, Jon M. Jachimowicz and Celia Moore
High potential programs offer a swift path up the corporate ladder for those who secure a place on them. However, the evaluation of “potential” occurs under considerable uncertainty, creating fertile ground for gender bias. We document that men are more likely than... View Details
Keywords: Passion; Potential; Gender; Motivation and Incentives; Performance; Talent and Talent Management
He, Joyce, Jon M. Jachimowicz, and Celia Moore. "Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations." Organization Science (in press). (Pre-published online December 23, 2024.)
- Article
Reverse the Curse of the Top-5
By: Robert S. Kaplan
The past 40 years has seen a large increase in the number of articles submitted to journals ranked in the top-5 of their discipline. This increase is the rational response, by faculty, to the overweighting of publications in these journals by university promotions and... View Details
Kaplan, Robert S. "Reverse the Curse of the Top-5." Accounting Horizons 33, no. 2 (June 2019): 17–24.
- Research Summary
Overview
By: Eva Ascarza
Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
- 2021
- Working Paper
An Empirical Study of Time Allotment and Delays in E-commerce Delivery
By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
- 20 Jun 2005
- Research & Ideas
Creating a Positive Professional Image
can never know exactly what all of your key constituents think about you, or how they would describe you when you aren't in the room. You can, however, draw inferences about your current professional image based on your interactions with... View Details
Keywords: by Mallory Stark
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- January 2017 (Revised May 2019)
- Case
Kjell and Company: Motivating Salespeople with Incentive Compensation (A)
By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain. The company’s products consisted of home electronics and accessories. The company was noted for its excellent customer service and a fair “one-for-all” HR policy. Historically, the salespeople had been compensated... View Details
Keywords: Salesforce Management; Compensation and Benefits; Change; Decision Making; Electronics Industry; Sweden
Chung, Doug J. "Kjell and Company: Motivating Salespeople with Incentive Compensation (A)." Harvard Business School Case 517-090, January 2017. (Revised May 2019.)
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- 26 Sep 2023
- Research & Ideas
Unpacking That Icky Feeling of 'Shopping' for Diverse Job Candidates
inferences on behalf of Black and Latinx and Native American software engineers.” “I could imagine a context where people use this argument even though they don't really mean it, because they know it's the more morally licensed or... View Details
Keywords: by Kristen Senz
- June 2017 (Revised May 2019)
- Supplement
Kjell and Company: Motivating Salespeople with Incentive Compensation (B)
By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain founded in 1988 by brothers Marcus, Mikael and Fredrik Dahnelius. The company operated 84 stores, all company-owned, located mainly in the metropolitan areas of Sweden’s most popular cities: Stockholm, Gothemburg... View Details
Keywords: Salesforce Management; Compensation and Benefits; Motivation and Incentives; Change Management; Behavior; Electronics Industry; Sweden
Chung, Doug J. "Kjell and Company: Motivating Salespeople with Incentive Compensation (B)." Harvard Business School Supplement 517-133, June 2017. (Revised May 2019.)
- 28 Feb 2013
- Working Paper Summaries
Do Display Ads Influence Search? Attribution and Dynamics in Online Advertising
- 15 Nov 2022
- Op-Ed
Why TikTok Is Beating YouTube for Eyeball Time (It’s Not Just the Dance Videos)
solution was to track audiences, use information about their browsing choices, and infer their interests. But tracking was challenged by privacy policies, as Google proposed restriction on the use of cookies, and Apple limited tracking by... View Details
Keywords: by John Deighton and Leora Kornfeld
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
age, or other demographics, they may start making inferences about the product beyond just the product characteristics themselves—and it can lead to some negative consequences sometimes. [With dating], it could help some by reducing... View Details
Keywords: by Kara Baskin
- 06 Dec 2022
- Research & Ideas
Latest Isn’t Always Greatest: Why Product Updates Capture Consumers
because consumers are using an imperfect shortcut to make a decision, which makes them more susceptible to inferring that altered products are better, even in situations when this is not true. “It operates in this zone where there is some... View Details
- 01 Jun 2015
- Research & Ideas
The Surprising Benefits of Oversharing
engaging in bad behavior even more often than "frequently"— that is, they inferred an extra answer of "very frequently." When the researchers tested this possibility by asking participants to guess how often they... View Details
Keywords: by Michael Blanding
- 13 Mar 2023
- Research & Ideas
The Power of Personal Connections: How Shared Experiences Boost Performance
referrals from primary care physicians to specialists using a medical licensing database to identify doctors who attended the same medical school or residency program. By doing so, the researchers could see when doctors completed programs to View Details
- 23 Apr 2012
- Research & Ideas
How to Brand a Next-Generation Product
than the previous model, but it won't be buggy and there won't be a learning curve," Gourville says. "With a brand name change, you infer that there may be a steep learning curve, and it may work differently from your previous... View Details
Keywords: by Carmen Nobel
- 03 May 2023
- Research & Ideas
Why Confronting Racism in AI 'Creates a Better Future for All of Us'
pretty bad. The present is better than 100 years ago and much better than 200 years ago. Today, the tech world is building AI systems and making decisions that will use human inferences and data built on the past. So instead of mimicking... View Details
Keywords: by Barbara DeLollis