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Show Results For
-
All HBS Web
(11,766)
- People (75)
- News (2,846)
- Research (3,660)
- Events (31)
- Multimedia (331)
- Faculty Publications (2,328)
- December 2018
- Case
Choosy
By: Jeffrey J. Bussgang and Julia Kelley
Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages....
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Keywords:
Artificial Intelligence;
Algorithms;
Machine Learning;
Neural Networks;
Instagram;
Influencer;
Fast Fashion;
Design;
Customer Satisfaction;
Customer Focus and Relationships;
Decision Making;
Cost vs Benefits;
Innovation and Invention;
Brands and Branding;
Product Positioning;
Demand and Consumers;
Supply Chain;
Production;
Logistics;
Business Model;
Expansion;
Internet and the Web;
Mobile and Wireless Technology;
Digital Platforms;
Social Media;
Technology Industry;
Fashion Industry;
North and Central America;
United States;
New York (state, US);
New York (city, NY)
- 2017
- Article
Making Transparency Transparent: The Evolution of Observation in Management Theory
By: Ethan Bernstein
Observation is key to management scholarship and practice. Yet a holistic view of its role in management has been elusive, in part due to shifting terminology. The current popularity of the term “transparency” provides the occasion for a thorough review, which finds...
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Keywords:
Transparency;
Privacy;
Observation;
Tracking;
Monitoring;
Surveillance;
Learning;
Control;
Disclosure;
Process Visibility;
Organizations;
Theory;
Information Technology;
Relationships;
Measurement and Metrics;
Management Practices and Processes;
Leadership;
Law;
Knowledge;
Human Resources;
Communication
Bernstein, Ethan. "Making Transparency Transparent: The Evolution of Observation in Management Theory." Academy of Management Annals 11, no. 1 (2017): 217–266.
- Sep 19 2014
- Testimonial
Developing the Skills to Connect—and to Lead
- July 2017
- Teaching Note
Designing Transformational Customer Experiences
By: Stefan Thomke
Keywords:
Customer Experience;
Design;
Exercise;
Learning By Doing;
LEGO;
Storytelling;
Transformation
- Article
When Talk Is "Free": The Effect of Tariff Structure on Usage Under Two- and Three-Part Tariffs
By: Eva Ascarza, Anja Lambrecht and Naufel Vilcassim
In many service industries, firms introduce three-part tariffs to replace or complement existing two-part tariffs. In contrast with two-part tariffs, three-part tariffs offer allowances, or “free” units of the service. Behavioral research suggests that the attributes...
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Keywords:
Pricing;
Nonlinear Pricing;
Discrete/continuous Choice Model;
Three-part Tariffs;
Uncertainty;
Learning;
Free Products;
Price;
Consumer Behavior;
Analysis
Ascarza, Eva, Anja Lambrecht, and Naufel Vilcassim. When Talk Is "Free": The Effect of Tariff Structure on Usage Under Two- and Three-Part Tariffs. Journal of Marketing Research (JMR) 49, no. 6 (December 2012): 882–900.
- October 2018
- Case
American Family Insurance and the Artificial Intelligence Opportunity
By: Rajiv Lal and Scott Johnson
Keywords:
Artificial Intelligence;
Machine Learning;
Automation;
Analytics;
American Family;
American Family Insurance;
Insurance;
Business Organization;
Transformation;
Talent and Talent Management;
Employee Relationship Management;
Innovation Strategy;
Job Cuts and Outsourcing;
Risk and Uncertainty;
Mobile and Wireless Technology;
Technology Adoption;
Internet and the Web;
Applications and Software;
Corporate Strategy;
AI and Machine Learning;
Digital Transformation;
Insurance Industry;
Technology Industry;
Wisconsin
- 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.
- September 2021 (Revised March 2024)
- Case
Tesla in 2023: 'Electrified' Competition
By: Eric Van den Steen, Ramon Casadesus-Masanell and Karen Elterman
Over its 17 years in existence, Tesla had redefined people’s view of electric cars, and in 2020, the company saw its stock rise by more than 700% to became the most valuable carmaker in the world. In December 2020, Tesla celebrated its fifth consecutive quarter of...
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Keywords:
Barrier To Entry;
Competitive Advantage;
Innovation;
Tesla;
Automotive Industry;
Sustainable Competitive Advantage;
Values;
Vision;
Learning By Doing;
Economies Of Scale;
Electric Vehicle;
Scenario Planning;
Batteries;
Competitive Strategy;
Product Positioning;
Profit;
Competition;
Industry Growth;
Auto Industry
Van den Steen, Eric, Ramon Casadesus-Masanell, and Karen Elterman. "Tesla in 2023: 'Electrified' Competition." Harvard Business School Case 722-375, September 2021. (Revised March 2024.)
- Apr 26 2023
- Testimonial
From Product to Platform
- January–February 2022
- Article
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience...
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Keywords:
Automation;
Domain Experience;
Algorithmic Aversion;
Experts;
Algorithms;
Machine Learning;
Future Of Work;
Employees;
Experience and Expertise;
Decision Making;
Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
- Jun 29 2018
- Testimonial
From Trial Lawyer to CEO
- 2011
- Tool
Stepping Up to Management
By: Linda A. Hill
Enable new managers to learn their jobs—while performing their jobs—with content that's integrated into their day-to-day workflow. Stepping Up to Management puts new managers on the right track so they can hit the ground running while laying the foundation for a...
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Hill, Linda A. Stepping Up to Management. Tool. Watertown, MA: Harvard Business Publishing, 2011.
- 02 Jul 2019
- Blog Post
Summer Listening - HBS Podcasts to Take to the Beach
interviews with alumni from across the world of business, sharing lessons learned and their own life experiences. Give It to Me StraightRadical Candor author Kim Scott on what effective feedback really looks...
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- 27 Sep 2012
- News
How To Use Optimism To Defeat Adversity
- June 2012
- Case
Buro Happold (Abridged)
By: Robert G. Eccles and Ryan Johnson
In 1996, Ted Happold, the founder of the engineering services firm Buro Happold, passed away, and Padraic Kelly became the firm's new managing director (MD). One of his first initiatives was "Aim for Growth," which was intended to help the firm grow beyond its current...
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Keywords:
Learning And Development;
Managing Growth;
Organizational Design;
Diversification;
Client Management;
Leadership Skills;
Entrepreneurship;
Growth and Development Strategy;
Leadership Development;
Management Skills;
Training;
Programs;
Customer Relationship Management
Eccles, Robert G., and Ryan Johnson. "Buro Happold (Abridged)." Harvard Business School Case 412-123, June 2012.
- 14 Jul 2014
- Research & Ideas
Pay Attention To Your ‘Extreme Consumers’
What do Porsche fanatics, a video game hater, and a person who cooked two weeks' worth of meals in a rice cooker have in common? They are all "extreme consumers"—those whose tastes are so out there that mainstream market researchers tend View Details
Keywords:
by Michael Blanding
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in...
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Keywords:
Empirical Methods;
Empirical Operations;
Statistical Methods And Machine Learning;
Statistical Interferences;
Research Analysts;
Analytics and Data Science;
Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 01 Feb 2020
- News