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All HBS Web
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- Faculty Publications (965)
- February 2024
- Teaching Note
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
Teaching Note for HBS Case No. 422-050. In 2016, Mayor Marty Walsh of Boston introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics.
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- 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,...
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Keywords:
Data;
Data Analytics;
Retail;
Retail Analytics;
Data Science;
Business Analytics;
"Marketing Analytics";
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;
E-commerce;
Marketing Channels;
Demand and Consumers;
Marketing Strategy;
Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- February 2024 (Revised March 2024)
- Teaching Note
X: The Foghorn Decision
By: Kyle Myers and Walter Frick
Teaching Note for HBS Case No. 618-060.
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Keywords:
Alternative Energy;
Energy Generation;
Energy Sources;
Climate Change;
Green Technology;
Selection and Staffing;
Collaborative Innovation and Invention;
Disruptive Innovation;
Independent Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Knowledge;
Product Design;
Product Development;
Research and Development;
Risk and Uncertainty;
Science-Based Business;
Green Technology Industry;
Green Technology Industry;
Green Technology Industry;
Green Technology Industry;
Green Technology Industry;
Green Technology Industry;
Green Technology Industry
- February 2024
- Article
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of...
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Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 238–252.
- 2024
- Working Paper
Platform Information Provision and Consumer Search: A Field Experiment
By: Lu Fang, Yanyou Chen, Chiara Farronato, Zhe Yuan and Yitong Wang
Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing...
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Keywords:
Consumer Behavior;
E-commerce;
Decision Choices and Conditions;
Learning;
Internet and the Web
Fang, Lu, Yanyou Chen, Chiara Farronato, Zhe Yuan, and Yitong Wang. "Platform Information Provision and Consumer Search: A Field Experiment." NBER Working Paper Series, No. 32099, February 2024.
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
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- 2023
- Working Paper
When Insurers Exit: Climate Losses, Fragile Insurers, and Mortgage Markets
By: Pari Sastry, Ishita Sen and Ana-Maria Tenekedjieva
This paper studies how homeowners insurance markets respond to growing climate losses and how this impacts mortgage market dynamics. Using Florida as a case study, we show that traditional insurers are exiting high risk areas, and new lower quality insurers are...
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Keywords:
Insurance;
Natural Disasters;
Governing Rules, Regulations, and Reforms;
Insurance Industry;
Florida
Sastry, Pari, Ishita Sen, and Ana-Maria Tenekedjieva. "When Insurers Exit: Climate Losses, Fragile Insurers, and Mortgage Markets." Harvard Business School Working Paper, No. 24-051, February 2024. (SSRN Working Paper Series, No. 4674279, December 2023.)
- January 2024
- Case
Fusion Industry Association: Igniting the Future of Clean Energy
Fusion energy is evolving from a scientific idea to a commercial possibility, drawing large investments and regulatory discussions; how should the FIA navigate this evolution?
The Fusion Industry Association (FIA) is at the forefront of transforming fusion... View Details
The Fusion Industry Association (FIA) is at the forefront of transforming fusion... View Details
Keywords:
Science-Based Business;
Engineering;
Venture Capital;
Entrepreneurship;
Government and Politics;
Government Legislation;
Industry Clusters;
Industry Growth;
Industry Structures;
Technological Innovation;
Energy Industry;
United States
Krieger, Joshua Lev, Jim Matheson, Kyle R. Myers, and Henry Tao. "Fusion Industry Association: Igniting the Future of Clean Energy." Harvard Business School Case 624-064, January 2024.
- 2024
- Article
Financial Constraints and Short-Term Planning Are Linked to Flood Risk Adaptation Gaps in U.S. Cities
By: Shirley Lu and Anya Nakhmurina
Adaptation is critical in reducing the inevitable impact of climate change. Here we study cities’ adaptation to elevated flood risk by introducing a linguistic measure of adaptation extracted from financial disclosures of 431 US cities over 2013–2020. While cities with...
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Keywords:
City;
Natural Disasters;
Climate Change;
Adaptation;
Risk and Uncertainty;
Strategic Planning
Lu, Shirley, and Anya Nakhmurina. "Financial Constraints and Short-Term Planning Are Linked to Flood Risk Adaptation Gaps in U.S. Cities." Art. 43. Communications Earth & Environment 5 (2024).
- 2024
- Working Paper
The Value of Open Source Software
By: Manuel Hoffmann, Frank Nagle and Yanuo Zhou
The value of a non-pecuniary (free) product is inherently difficult to assess. A pervasive
example is open source software (OSS), a global public good that plays a vital role in the economy
and is foundational for most technology we use today. However, it is...
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Hoffmann, Manuel, Frank Nagle, and Yanuo Zhou. "The Value of Open Source Software." Harvard Business School Working Paper, No. 24-038, January 2024.
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of...
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Keywords:
Customer Relationship Management;
Decision Making;
Analytics and Data Science;
Growth Management;
Technology Industry;
Technology Industry;
Technology Industry;
Technology Industry;
Technology Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 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...
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Keywords:
Customer Relationship Management;
Analysis;
Analytics and Data Science;
Marketing Strategy;
Segmentation;
Consumer Behavior;
Travel Industry;
United States
Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised February 2024.)
- January 2024 (Revised February 2024)
- Technical Note
Computer Science for Strategists
By: Andy Wu and Matt Higgins
Two of the most important computer science principles in the technology industry are abstraction and platformization. Our aim with this note is to explain these concepts in an approachable way that brings managers and computer scientists a little closer together.
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Wu, Andy, and Matt Higgins. "Computer Science for Strategists." Harvard Business School Technical Note 724-429, January 2024. (Revised February 2024.)
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We...
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Keywords:
Platform Differentiation;
Digital Platforms;
Network Effects;
Measurement and Metrics;
Mergers and Acquisitions;
Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM...
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- December 2023 (Revised February 2024)
- Case
Transforming Healthcare Delivery at Karolinska University Hospital
By: Susanna Gallani, Mary Witkowski, Elena Corsi and Nikolina Jonsson
The case study examines the journey toward value-based healthcare at Karolinska University Hospital. The hospital's ambitious shift to a patient-centered care delivery model, accompanied by the construction of a new facility, encountered challenges such as high costs,...
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Keywords:
Change Management;
Transformation;
Transition;
Business Organization;
Communication Strategy;
Information Infrastructure;
Service Delivery;
Organizational Change and Adaptation;
Organizational Structure;
Health Industry;
Sweden;
Europe
Gallani, Susanna, Mary Witkowski, Elena Corsi, and Nikolina Jonsson. "Transforming Healthcare Delivery at Karolinska University Hospital." Harvard Business School Case 124-070, December 2023. (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...
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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.
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,...
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Keywords:
Large Language Model;
AI and Machine Learning;
Analytics and Data Science;
Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 2023
- Working Paper
Can Digitalization Improve Public Services? Evidence from Innovation in Energy Management
By: Robyn C. Meeks, Jacquelyn Pless and Zhenxuan Wang
This paper examines how digitalization impacts public service provision through a study of the U.S. power sector. We exploit the staggered timing of electric utilities’ investments in “smart” meters and find that electricity losses per unit sold decrease by 3.6%. This...
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Keywords:
Electric Utility;
Energy Management;
Smart Meters;
Energy;
Climate Change;
State Ownership;
Private Ownership;
Technology Adoption;
Energy Industry;
Utilities Industry;
United States
Meeks, Robyn C., Jacquelyn Pless, and Zhenxuan Wang. "Can Digitalization Improve Public Services? Evidence from Innovation in Energy Management." MIT CEEPR Working Paper Series, No. 2023-22, December 2023.
- 2023
- Article
Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation
By: Jan B. Brönneke, Annika Herr, Simon Reif and Ariel D. Stern
Germany’s 2019 Digital Healthcare Act (Digitale-Versorgung-Gesetz, or DVG) created a number of opportunities for the digital transformation of the health care delivery system. Key among these was the creation of a reimbursement pathway for patient-centered digital...
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Keywords:
Digital Transformation;
Applications and Software;
Product Development;
Insurance;
Policy;
Health Industry;
Germany
Brönneke, Jan B., Annika Herr, Simon Reif, and Ariel D. Stern. "Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation." International Journal of Technology Assessment in Health Care 39, no. 1 (2023).