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Show Results For
- All HBS Web
(1,564)
- News (204)
- Research (1,138)
- Events (16)
- Multimedia (1)
- Faculty Publications (666)
- 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
- 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... View Details
- 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... View Details
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.)
- 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,... View Details
Keywords: Peter K. Jacobs
- 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... View Details
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... View Details
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... View Details
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.
- 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
- 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).
- 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.)
- 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... View Details
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... View Details
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
- 21 Sep 2016
- HBS Seminar
Catherine Tucker, MIT Sloan School of Management
- 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. View Details
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. View Details
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
- 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. View Details
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.)
- 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... View Details
- 26 Sep 2023
- Book
Digital Strategy: A Handbook for Managing a Moving Target
faster decisions. Big data analytics also allow businesses to improve their operations and efficiency, explore other new waves of big data use... View Details
- Web
Accounting & Management - Faculty & Research
pronounced when borrowers have limited access to credit, take loans for business purposes, and obtain more credit. Keywords: Informal Economy ; Digital Banking ; Mobile Phones ; Developing Countries and... 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