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Show Results For
- All HBS Web
(1,920)
- People (2)
- News (215)
- Research (1,370)
- Events (15)
- Multimedia (13)
- Faculty Publications (910)
- 06 Dec 2021
- News
The Popular Stock Metric That Can Lead Investors Astray
- Research Summary
My broad research interests include leadership, leader development, leading change, and organizational failures. However, my current focus for the past several years has been around LEADER DEVELOPMENT: How do leaders develop? How can we assist in the development of... View Details
- 25 Apr 2022
- Video
Professor Cynthia Montgomery: Pivots
Amitabh Chandra
Amitabh Chandra is the Henry and Allison McCance Family Professor of Business Administration at Harvard Business School where he is the Faculty Chair of the joint
- April 1987 (Revised April 1992)
- Background Note
Games of Strategy: An Introduction
An introduction to the formal analysis of strategic situations. Ideas of game trees, backwards induction, and dominated strategies are introduced. The methods of backwards induction to find optimal strategies is related to the method of successive eliminations of... View Details
Krishna, Vijay. "Games of Strategy: An Introduction." Harvard Business School Background Note 187-159, April 1987. (Revised April 1992.)
- Research Summary
The American Chief Executive from 1850 to 2000
Richard S. Tedlow's research explores changes in the leadership strategies, styles, and backgrounds of corporate chief executive officers in the United States over the past century and a half. This project has both a qualitative and a quantitative component. The... View Details
- TeachingInterests
Transforming Customer Experiences - Executive Education
By: Ryan W. Buell
In today's fast-growing service sector, a new set of frameworks are required to build a robust and competitive service business. Transforming Customer Experiences draws upon the latest research and insights to equip senior managers with a new toolkit for leading... View Details
Jon M. Jachimowicz
Jon M. Jachimowicz is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School, where he teaches the Leadership and Organizational Behavior course (LEAD) in the Required Curriculum. He studies... View Details
- Research Summary
Overview
By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
- 2013
- Chapter
Privacy Breach Analysis in Social Networks
By: Frank Nagle
Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details
Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science
Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
- March 2012
- Article
Teams Have Changed: Catching Up to the Future
By: Ruth Wageman, Heidi K. Gardner and Mark Mortensen
Modern global trends are changing the face of teams. But we believe that much of today's teams research focuses us on the present and the past while barely acknowledging the future. Much more radical changes exist in what is already happening to teams and what is... View Details
Wageman, Ruth, Heidi K. Gardner, and Mark Mortensen. "Teams Have Changed: Catching Up to the Future." Industrial and Organizational Psychology: Perspectives on Science and Practice 5, no. 1 (March 2012): 48–52.
Emily Truelove
Emily Truelove is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School. She teaches LEAD in the MBA program. She also teaches in executive education programs, including Leadership for Senior Executives,... View Details
Teresa M. Amabile
Teresa Amabile is the Edsel Bryant Ford Professor, Emerita, at Harvard Business School. Originally educated and employed as a chemist, Teresa received her Ph.D. in psychology from Stanford University. Her current research investigates how people approach and... View Details
- 2013
- Book
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
By: Thomas H. Davenport and Jinho Kim
Managers today need to be able to analyze and make sense of data. They need to be conversant with analytical technology and methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's... View Details
- 20 Dec 2013
- Working Paper Summaries
Zooming In: A Practical Manual for Identifying Geographic Clusters
Keywords: by Juan Alcácer & Minyuan Zhao
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 08 Jan 2012
- News
Progress Principle: You're More Important Than You Think
- 20 Nov 2012
- First Look
First Look: November 20
quantitative insight on the link between a firm's business model choices and their ultimate profit consequences. We apply the method to Walmart. Using evidence from annual reports, research papers, case... View Details
Keywords: Sean Silverthorne