Filter Results
:
(457)
Show Results For
-
All HBS Web
(3,397)
- Faculty Publications (457)
Show Results For
-
All HBS Web
(3,397)
- Faculty Publications (457)
Page 1 of
457
Results
→
- March 2024
- Case
Expanding the Bicester Collection to New York
By: Boris Vallee, Kirby Brand, Kristina Brown, Julie McCrimlisk, Chloe Sztabnik and Arthur Segel
Vallee, Boris, Kirby Brand, Kristina Brown, Julie McCrimlisk, Chloe Sztabnik, and Arthur Segel. "Expanding the Bicester Collection to New York." Harvard Business School Case 224-068, March 2024.
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available...
View Details
Ham, Dae Woong, Iavor I Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,...
View Details
Keywords:
Data;
Data Analytics;
Retail;
Retail Analytics;
Data Science;
Business Analytics;
Marketing;
"Marketing Analytics";
Ecommerce;
Omnichannel;
Omnichannel Retailing;
Omnichannel Retail;
DTC;
Direct To Consumer Marketing;
Ethical Decision Making;
Algorithmic Bias;
Privacy;
A/B Testing;
Descriptive Analytics;
Prescriptive Analytics;
Predictive Analytics;
Analytics and Data Science;
Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- 2024
- Working Paper
Open Devices and Slices: Evidence from Wi-Fi Equipment
By: Do Yoon Kim, Roberto Fontana and Shane Greenstein
Prior studies suggest that openness shapes the introduction of new products. This study
collects novel data on all routers and subcomponents introduced between 2000 and 2018. We
characterize each firm's position in a supply chain as upstream component providers...
View Details
Kim, Do Yoon, Roberto Fontana, and Shane Greenstein. "Open Devices and Slices: Evidence from Wi-Fi Equipment." Harvard Business School Working Paper, No. 24-045, January 2024.
- 2024
- Chapter
Regulating Collective Emotions
By: Amit Goldenberg
When we think of emotion and emotion regulation, we typically think of them as processes occurring at the individual level. Even when emotions are experienced by multiple people who interact with each other, analysis is typically centered around individual-level...
View Details
Goldenberg, Amit. "Regulating Collective Emotions." Chap. 22 in Handbook of Emotion Regulation. Third Edition edited by James J. Gross and Brett Q. Ford, 183–189. Guilford Press, 2024.
- January 2024 (Revised February 2024)
- Exercise
Travelogo: Understanding Customer Journeys
By: Eva Ascarza, Nicolas Padilla and Oded Netzer
In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation...
View Details
Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised February 2024.)
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- December 2023
- Case
Microsoft Azure and the Cloud Wars (B)
By: Andy Wu and Matt Higgins
By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had...
View Details
- December 2023
- Article
Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting
By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement...
View Details
Keywords:
Brokers;
Analysts;
Forecasts;
Bias;
Protocol;
Investment;
Research;
Forecasting and Prediction
Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
- November–December 2023
- Article
Network Centralization and Collective Adaptability to a Shifting Environment
By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more...
View Details
Keywords:
Network Centralization;
Collective Intelligence;
Organizational Change and Adaptation;
Organizational Structure;
Communication;
Decision Making;
Networks;
Adaptation
Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
- September–October 2023
- Article
Building Brand Engagement: Lessons from NFTs and Collectibles
By: Frank V. Cespedes and Ben Plomion
The financial hype about Non-Fungible Tokens (NFTs) has cooled considerably since trading in that market went from more than $780 million on May 1, 2022 to less than $295 million for the entire month of May, 2023. But brands launch marketing campaigns in this medium,...
View Details
Cespedes, Frank V., and Ben Plomion. "Building Brand Engagement: Lessons from NFTs and Collectibles." European Business Review (September–October 2023): 2–5.
- 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
- 2023
- Working Paper
Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program
By: Annamaria Conti, Vansh Gupta, Jorge Guzman and Maria P. Roche
Open source is key to innovation, but we know little about how to incentivize
it. In this paper, we examine the impact of a program providing monetary
incentives to motivate innovators to contribute to open source. The Sponsors
program was introduced by GitHub in...
View Details
Keywords:
Open Source Distribution;
Innovation and Invention;
Motivation and Incentives;
Technology Industry
Conti, Annamaria, Vansh Gupta, Jorge Guzman, and Maria P. Roche. "Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program." Harvard Business School Working Paper, No. 24-014, September 2023. (NBER Working Paper Series, No. 31668, September 2023.)
- September–October 2023
- Article
Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study
By: Aamir Ali, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan and Ammar Sarwar
We use time-driven activity-based costing (TDABC) to measure the cost of performing breast imaging using different modalities: full-field digital mammography (FFDM), digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), US and MRI exams, and...
View Details
Keywords:
Time-Driven Activity-Based Costing;
Health Care;
Breast Cancer;
Health Care and Treatment;
Cost;
Cost Accounting;
Health Industry
Ali, Aamir, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan, and Ammar Sarwar. "Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study." Journal of Breast Imaging 5, no. 5 (September–October 2023): 546–554.
- September 2023
- Article
The Changing Role of Managers
By: Letian Zhang
This study argues that the increase in middle management in recent decades was
accompanied by a major shift in managerial roles. Increased task complexity and a
new management philosophy have reduced the need for direct supervision but generated
a much greater...
View Details
Zhang, Letian. "The Changing Role of Managers." American Journal of Sociology 129, no. 2 (September 2023): 439–484.
- August 29, 2023
- Article
The Fragility of Artists’ Reputations from 1795 to 2020
By: Letian Zhang, Mitali Banerjee, Shinan Wang and Zhuoqiao Hong
This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year...
View Details
Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The Fragility of Artists’ Reputations from 1795 to 2020." Proceedings of the National Academy of Sciences 120, no. 35 (August 29, 2023).
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
View Details
Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of...
View Details
Keywords:
Search Costs;
Privacy;
Norms;
Compensation;
Financial Industry;
Field Experiment;
Knowledge Dissemination;
Equality and Inequality;
Gender;
Compensation and Benefits;
Societal Protocols
Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
- May 2023
- Article
Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings
By: Janet Gao, Kenneth J. Merkley, Joseph Pacelli and Joseph H. Schroeder
Ineffective internal controls over financial reporting often relates to a lack of qualified personnel with sufficient accounting and technical expertise. In this study, we examine whether firms respond to internal control failures by increasing their demand for...
View Details
Keywords:
Internal Controls;
Labor Demand;
Accounting;
Financial Reporting;
Experience and Expertise;
Recruitment;
Competency and Skills;
Corporate Finance
Gao, Janet, Kenneth J. Merkley, Joseph Pacelli, and Joseph H. Schroeder. "Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings." Accounting Review 98, no. 3 (May 2023): 203–228.