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Show Results For
-
All HBS Web
(1,525)
- News (199)
- Research (1,092)
- Events (13)
- Multimedia (1)
- Faculty Publications (622)
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
How Google Sold Its Engineers on Management
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial...
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- 21 Feb 2005
- Op-Ed
Is Business Management a Profession?
understands to be its causes. Turning to the body of systematized knowledge underpinning the claim that business management too is a profession, we find important differences between management as a View Details
- 16 Jan 2019
- Research & Ideas
What Football Firings Teach Managers About Staying Relevant
to help them maintain success for years on end. The best managers and coaches also find innovative ways to get ahead. Belichick and the Patriots were the first NFL organization...
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- 08 Oct 2007
- Research & Ideas
Management Education’s Unanswered Questions
How has management education evolved, and where is it going? This question is of crucial importance for society, says HBS professor Rakesh Khurana. Business leaders are admired yet often distrusted, View Details
- January 2014 (Revised January 2017)
- Case
Nivea (A)
By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar
The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand...
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Keywords:
Innovation;
Innovation Management;
Crowdsourcing;
Big Data;
Innovation Strategy;
Innovation and Management;
Knowledge Management;
Knowledge Sharing;
Research and Development;
Social and Collaborative Networks;
Collaborative Innovation and Invention;
Analytics and Data Science;
Beauty and Cosmetics Industry;
Beauty and Cosmetics Industry
Lakhani, Karim R., Johann Fuller, Volker Bilgram, and Greta Friar. "Nivea (A)." Harvard Business School Case 614-042, January 2014. (Revised January 2017.)
- September 2016 (Revised March 2017)
- Module Note
Strategy Execution Module 3: Using Information for Performance Measurement and Control
By: Robert Simons
This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers...
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Keywords:
Management Control Systems;
Implementing Strategy;
Strategy Execution;
Organization Process;
Feedback Model;
Innovation;
Uses Of Information;
Big Data;
Benchmarking;
Decision Making;
Information;
Performance Evaluation;
Analytics and Data Science
Simons, Robert. "Strategy Execution Module 3: Using Information for Performance Measurement and Control." Harvard Business School Module Note 117-103, September 2016. (Revised March 2017.)
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data...
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Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- June 2021
- Article
Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative
By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission...
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Keywords:
Value-based Health Care;
Health Care and Treatment;
Analytics and Data Science;
Outcome or Result;
Measurement and Metrics;
Performance Improvement
Allen, Casey J., Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala, and Matthew H.G. Katz. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
- 07 Apr 2022
- Blog Post
Product Management at HBS: Roll Up Your Sleeves and Learn by Doing
a mobile base building game called Regent, and by taking a series of elective courses across multiple disciplines, from artificial intelligence to data science to business...
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- 2016
- Book
Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work
Part of a manager's job is making tough calls, and the hardest challenge can be resolving "gray area” problems—situations in which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their...
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Badaracco, Joseph L. Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work. Harvard Business Review Press, 2016.
- 13 Jun 2017
- Blog Post
7 Reasons Why the New MS/MBA: Engineering Sciences Program at Harvard is Next Level
companies now. i.e. This is bigger than just you. Interested in learning more about the MS/MBA? Here are four things you need to know. -- Anita Mehrotra is a Class of 2018 HBS student (Section I!) and was previously a View Details
- August 2001
- Article
Technology as a Complex Adaptive System: Evidence from Patent Data
Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
- November 2016 (Revised April 2017)
- Case
Basecamp: Pricing
By: Frank Cespedes and Robb Fitzsimmons
A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product.
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Keywords:
Pricing;
Entrepreneurial Management;
Data Analysis;
Marketing;
Customer Acquisition;
Customer Retention;
Value Proposition;
Sales Management;
Product Management;
Market Research;
Life Time Value;
Testing;
Entrepreneurship;
Analytics and Data Science;
Customers;
Value;
Sales;
Product Marketing;
United States
Cespedes, Frank, and Robb Fitzsimmons. "Basecamp: Pricing." Harvard Business School Case 817-067, November 2016. (Revised April 2017.)
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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Keywords:
Targeted Advertising;
Targeting;
Algorithmic Data;
Bias;
A/B Testing;
Experiment;
Advertising;
Gender;
Race;
Diversity;
Marketing;
Customer Relationship Management;
Prejudice and Bias;
Analytics and Data Science;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
United States
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- 16 Aug 2010
- Lessons from the Classroom
HBS Introduces Marketing Analysis Tools for Managers
marketing has undergone immense changes over the past decade, and those changes are driving an increasing need for data analysis. Marketing today combines both art and science:...
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Keywords:
by Sarah Jane Gilbert
- August 2015 (Revised February 2017)
- Case
Bridj and the Business of Urban Mobility (A): Developing a New Model
By: Rosabeth Moss Kanter and Daniel Fox
Bridj, a Boston startup that provides Big Data-powered, "pop-up" bus routes that respond to transportation demand, has been in operation for a little over a year and has recently launched service in Washington, D.C., its second market. Despite media acclaim and...
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Keywords:
Startup;
Startup Management;
Big Data;
Smart Transit;
Stakeholder Engagement;
Stakeholder Management;
Urban Vehicle;
Mobility;
Mass Transit;
Uber;
Government Relations;
Technological Innovation;
Analytics and Data Science;
Entrepreneurship;
Business and Stakeholder Relations;
Transportation;
Business Startups;
Management;
Business and Government Relations;
Transportation Industry;
Boston;
District of Columbia
Kanter, Rosabeth Moss, and Daniel Fox. "Bridj and the Business of Urban Mobility (A): Developing a New Model." Harvard Business School Case 316-025, August 2015. (Revised February 2017.)
- March 2016 (Revised April 2017)
- Teaching Note
Bridj and the Business of Urban Mobility (A): Introducing a New Model
By: Rosabeth Moss Kanter and Jonathan Cohen
This note is for the purpose of aiding classroom instructors in the use of the Harvard Business School case "Bridj and the Business of Urban Mobility: Introducing a New Model." Instructors may use it to help students understand the challenges that come with disrupting...
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Keywords:
Startup;
Startup Management;
Big Data;
Smart Transit;
Stakeholder Engagement;
Stakeholder Management;
Urban Vehicle;
Mobility;
Mass Transit;
Uber;
Government Relations;
Technological Innovation;
Analytics and Data Science;
Entrepreneurship;
Business and Stakeholder Relations;
Business Startups;
Transportation;
Business and Government Relations;
Transportation Industry;
United States
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
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Keywords:
Carbon Emissions;
Climate Change;
Environment;
Carbon Accounting;
Machine Learning;
Artificial Intelligence;
Digital;
Data Science;
Environmental Sustainability;
Environmental Management;
Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.