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-
All HBS Web
(1,603)
- News (200)
- Research (1,065)
- Events (13)
- Multimedia (1)
- Faculty Publications (609)
- 03 Mar 2023
- Research & Ideas
When Showing Know-How Backfires for Women Managers
combination of observations, interviews, and archival data in The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance, recently published in...
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- 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.)
- 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
- 01 Jun 2000
- News
Managing the Map
direction is largely determined by the needs of its scientists and by the direction of the life sciences themselves. "Management's role therefore tends to be more of a resource provider," he says. Even so,...
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Keywords:
Peter K. Jacobs
- March 1987
- Article
Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations
By: J. Frankel and K. A. Froot
Keywords:
Currencies;
Exchange Rates;
Asset Pricing;
International Macroeconomics;
Monetary Policy;
Currency Controls;
Fixed Exchange Rates;
Floating Exchange Rates;
Currency Bands;
Currency Zones;
Currency Areas;
Rational Expectations;
Analytics and Data Science;
Finance
Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)
- 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.
- 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.)
- 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).
- Web
Research Data Program | Baker Library | Bloomberg Center | Harvard Business School
Services Research Data Program Research Data Program Bookmark This Research Data Program /services/research-data-program Baker Library's expert View Details
- 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.)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
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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;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- February 2017
- Teaching Note
Oversight Systems
By: Frank Cespedes
This Teaching Note accompanies the case, set in May 2016, which discusses sales strategy and channel partnerships at Oversight Systems, an early stage software firm that developed analytics for organizations to monitor their data for errors, fraud, and operational...
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- 2017
- Working Paper
Inventory Management for Mobile Money Agents in the Developing World
By: Karthik Balasubramanian, David F. Drake and Douglas Fearing
Mobile money systems, platforms built and managed by mobile network operators to allow money to be stored as digital currency, have burgeoned in the developing world as a mechanism to transfer money electronically. Mobile money agents exchange cash for electronic value...
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Balasubramanian, Karthik, David F. Drake, and Douglas Fearing. "Inventory Management for Mobile Money Agents in the Developing World." Harvard Business School Working Paper, No. 17-109, June 2017. (Presented at INFORMS 2015 and POMS 2016. Finalist and first runner up, Production and Operations Management College of Sustainable Operations Best Student Paper Award.)
- 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
- 30 Apr 2024
- Book
When Managers Set Unrealistic Expectations, Employees Cut Ethical Corners
management and organisational practices. By this time, social science research had already shown that people’s behaviour is shaped as much by situational View Details
Keywords:
by Dina Gerdeman
- 21 Sep 2016
- HBS Seminar
Catherine Tucker, MIT Sloan School of Management
- Article
ESG Integration in Investment Management: Myths and Realities
By: Sakis Kotsantonis, Christopher Pinney and George Serafeim
The authors’ aim in this article is to set the record straight on the financial performance of sustainable investing while also correcting a number of other widespread misconceptions about this rapidly growing set of principles and methods.
Myth Number 1:...
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Keywords:
ESG;
Sustainability;
Investment Management;
Finance;
Corporate Social Responsibility;
Integrated Corporate Reporting;
Corporate Social Responsibility and Impact;
Investment;
Environmental Sustainability;
Corporate Governance
Kotsantonis, Sakis, Christopher Pinney, and George Serafeim. "ESG Integration in Investment Management: Myths and Realities." Journal of Applied Corporate Finance 28, no. 2 (Spring 2016): 10–16.
- January 2016
- Case
Acxiom
By: John Deighton
Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker?
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- 07 Mar 2016
- HBS Seminar
Scott Stern, MIT Sloan School of Management
- Web
Data Wrangling & Analysis | Baker Library | Bloomberg Center | Harvard Business School
publicly available data sources, and the preparation of data for analysis.The team, comprised of data scientists, researchers, business...
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