Filter Results
:
(542)
Show Results For
-
All HBS Web
(4,071)
- Faculty Publications (542)
Show Results For
-
All HBS Web
(4,071)
- Faculty Publications (542)
Page 1 of
542
Results
→
- September 2024
- Case
Anker Innovations (A)
By: Feng Zhu, Jiangyong Lu and Nancy Hua Dai
An Amazon-native brand, Anker is the world’s No. 1 mobile charging brand and a leading consumer electronics company. Over the years, Anker developed an effective model of proving new products online first by leveraging customer insights from its proprietary Voice of...
View Details
- September 2024
- Supplement
Anker Innovations (B)
By: Feng Zhu, Jiangyong Lu and Nancy Hua Dai
An Amazon-native brand, Anker is the world’s No. 1 mobile charging brand and a leading consumer electronics company. Over the years, Anker developed an effective model of proving new products online first by leveraging customer insights from its proprietary Voice of...
View Details
- August 2024
- Case
DBS' AI Journey
By: Feng Zhu, Harold Zhu and Adina Wong
Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers....
View Details
- July 2024
- Case
Knowledge Transfer: Toyota, NUMMI, and GM
By: Willy Shih
New United Motors Manufacturing, Inc. (NUMMI) was a joint venture between Toyota and General Motors. It was an opportunity for GM to learn about the Toyota Production System, which was quite different from the mass production processes American automakers used at the...
View Details
- July 2024
- Case
Wizards of the Coast and Magic: The Rebounding
By: Boris Groysberg and Tom Quinn
This case traces the history and growth of the Magic: The Gathering trading card game. From its development in 1993 by tiny studio Wizards of the Coast, to Wizards’ acquisition by toy giant Hasbro in 1999, to its evolution into a billion-dollar brand in 2023,...
View Details
Keywords:
Business Growth and Maturation;
Change Management;
Transformation;
Cost vs Benefits;
Business Cycles;
Games, Gaming, and Gambling;
Global Strategy;
Growth and Development;
Selection and Staffing;
Collaborative Innovation and Invention;
Innovation Leadership;
Intellectual Property;
Job Design and Levels;
Knowledge Use and Leverage;
Leading Change;
Growth and Development Strategy;
Growth Management;
Management Succession;
Risk Management;
Brands and Branding;
Product Positioning;
Organizational Change and Adaptation;
Competitive Strategy;
Competitive Advantage;
Expansion;
Mergers and Acquisitions;
Product Development;
Entertainment and Recreation Industry;
United States;
Washington (state, US);
Seattle;
Japan
- July 2024
- Case
Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones
By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices...
View Details
Keywords:
Fintech;
Transformations;
Innovation And Strategy;
Financial Advisors;
Big Data;
AI;
Artificial Intelligence;
Digital Strategy;
Digitization;
Financial Institutions;
Business Strategy;
Competitive Advantage;
Technology Adoption;
Business Plan;
Technological Innovation;
Interpersonal Communication;
Communication Intention and Meaning;
Communication Strategy;
Transformation;
Employee Stock Ownership Plan;
Disruptive Innovation;
Innovation Strategy;
Innovation and Management;
Innovation Leadership;
Knowledge Acquisition;
Knowledge Use and Leverage;
Financial Services Industry;
St. Louis;
Missouri;
United States
Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
- June 2024
- Teaching Note
Dirk Nowitzki: Changing the Game
By: Boris Groysberg, Katherine Connolly Baden and Robin Abrahams
Teaching Note for HBS Case No. 420-031. NBA Superstar Dirk Nowitzki was unsure whether the 2018-19 season would be his last as an NBA player. He had not faced such uncertainty since 1998, when he had navigated a difficult decision regarding the timing of his move to...
View Details
Keywords:
Performance Capacity;
Performance Consistency;
Performance Effectiveness;
Performance Improvement;
Sports;
Problems and Challenges;
Practice;
Retirement;
Work-Life Balance;
Success;
Knowledge Acquisition;
Knowledge Sharing;
Knowledge Use and Leverage;
Growth and Development;
Sports Industry;
United States
- June 2024
- Case
SnapTravel: Betting on 'Super.com'
By: Reza Satchu and Tom Quinn
This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel...
View Details
Keywords:
Business Growth and Maturation;
Business Plan;
Business Startups;
Change Management;
Disruption;
Transformation;
Volatility;
Customer Focus and Relationships;
Customer Value and Value Chain;
Decisions;
Income;
Entrepreneurship;
Geographic Scope;
Cross-Cultural and Cross-Border Issues;
Health Pandemics;
Surveys;
Knowledge Acquisition;
Knowledge Use and Leverage;
Leading Change;
Crisis Management;
Goals and Objectives;
Risk Management;
Consumer Behavior;
Game Theory;
Risk and Uncertainty;
Adaptation;
Diversification;
Expansion;
System Shocks;
Accommodations Industry;
Technology Industry;
Canada;
United States;
Las Vegas
- June 2024
- Teaching Note
Beamery: Using Skills and AI to Modernize HR
By: Boris Groysberg, David Lane, Susan Pinckney and Alexis Lefort
Teaching Note for HBS Case No. 424-004. Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management...
View Details
Keywords:
Analysis;
Business Growth and Maturation;
Business Model;
Business Startups;
Business Plan;
Disruption;
Transformation;
Talent and Talent Management;
Decisions;
Diversity;
Ethnicity;
Gender;
Nationality;
Race;
Residency;
Higher Education;
Learning;
Entrepreneurship;
Fairness;
Cross-Cultural and Cross-Border Issues;
Global Strategy;
Growth and Development;
AI and Machine Learning;
Digital Platforms;
Disruptive Innovation;
Technological Innovation;
Job Offer;
Job Search;
Knowledge Acquisition;
Knowledge Use and Leverage;
Product;
Mission and Purpose;
Strategic Planning;
Problems and Challenges;
Corporate Strategy;
Equality and Inequality;
Valuation;
Value Creation;
Employment Industry;
United Kingdom
- June 2024 (Revised August 2024)
- Case
Revlon India’s Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard
By: Tatiana Sandino and Samuel Grad
Revlon India was founded as a joint venture in 1995, pairing the industrial conglomerate UMG with the global beauty brand Revlon, Inc. to bring international color cosmetics to India. After growing rapidly and pioneering the Beauty Advisor (BA) model in India, the...
View Details
Keywords:
Balanced Scorecard;
Restructuring;
Training;
Supply Chain;
Supply Chain Management;
Distribution;
E-commerce;
Strategy;
Business Model;
Business Plan;
Decision Making;
Decision Choices and Conditions;
Marketing Strategy;
Alignment;
Brands and Branding;
Negotiation;
Beauty and Cosmetics Industry;
Beauty and Cosmetics Industry;
Beauty and Cosmetics Industry;
India
Sandino, Tatiana, and Samuel Grad. "Revlon India’s Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard." Harvard Business School Case 124-107, June 2024. (Revised August 2024.)
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
View Details
Keywords:
Heterogeneous Treatment Effect;
Multi-task Learning;
Representation Learning;
Personalization;
Promotion;
Deep Learning;
Field Experiments;
Customer Focus and Relationships;
Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- June 2024
- Article
Rationalizing Outcomes: Interdependent Learning in Competitive Markets
By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the...
View Details
Keywords:
Mental Models;
Strategic Interactions;
Rationalization;
Explanation-based View;
Competition
Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,...
View Details
Keywords:
AI and Machine Learning;
Valuation;
Technological Innovation;
Open Source Distribution;
Patents;
Policy;
Knowledge Sharing;
Technology Industry
Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
- May 2024
- Article
Financial Innovation in the 21st Century: Evidence from U.S. Patents
By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun
We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure...
View Details
Keywords:
Banking;
Investment Banks;
Information Technology;
Regulation;
Patents;
Innovation and Invention;
Trends
Lerner, Josh, Amit Seru, Nick Short, and Yuan Sun. "Financial Innovation in the 21st Century: Evidence from U.S. Patents." Journal of Political Economy 132, no. 5 (May 2024): 1391–1449.
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,...
View Details
Keywords:
AI and Machine Learning;
Forecasting and Prediction;
Working Conditions;
Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal...
View Details
Keywords:
Ride-sharing;
Routine;
Machine Learning;
Customer Relationship Management;
Consumer Behavior;
Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- April–May 2024
- Article
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock...
View Details
Keywords:
Analytics and Data Science;
Borrowing and Debt;
Financial Markets;
Value;
Knowledge Dissemination;
Financing and Loans
Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to...
View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 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,...
View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- January 2024 (Revised June 2024)
- Case
Equal Justice Initiative: Mercy, Truth and Dignity
By: V. Kasturi Rangan, Gerald Chertavian and Brittany Logan
In 1989, the Equal Justice Initiative was established as a non-profit, public interest law firm by Harvard Law School graduate, Bryan Stevenson.
EJI provides legal assistance to condemned prisoners, people wrongly convicted or unfairly sentenced, children in... View Details
EJI provides legal assistance to condemned prisoners, people wrongly convicted or unfairly sentenced, children in... View Details