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All HBS Web
(1,935)
- People (2)
- News (200)
- Research (1,355)
- Events (14)
- Multimedia (14)
- Faculty Publications (894)
- 01 Sep 2014
- News
Book Review: Getting Beyond Yes
efficient, it is so much more powerful than the normal academic method of doing research that I will never do that again. Every time I do research, I am going to do the crowdsourcing from our alumni.”...
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- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- July 2008 (Revised May 2009)
- Teaching Note
The Springfield Nor'easters: Maximizing Revenues in the Minor Leagues (Brief Case)
By: Frank V. Cespedes, Christopher H. Lovelock and Laura Winig
Teaching Note for 2510
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- Web
Impact on Research & Curriculum | Baker Library | Bloomberg Center | Harvard Business School
Skip to Main Content Exhibition Home Exhibition Business Education & The Case Method The General Shoe Company, 1921 Case Writing & Industry Expansion of the Case Method The Case View Details
- 10 Jan 2005
- Research & Ideas
Motivation and the Cross-Sector Alliance
that represents the area of lowest sustainability for the partnership. Our research suggests that as the collaboration progresses, motivations gain intensity (represented with arrow #1 in Figure 2 below) and become more blended...
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- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and...
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Keywords:
Big Data;
Science-based;
Science;
Scientific Research;
Data Analytics;
Data Science;
Data-driven Management;
Data Scientists;
Technological Innovation;
Analytics and Data Science;
Mathematical Methods;
Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- Web
Introduction - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections
HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize View Details
- Web
Introduction - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections
HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize View Details
- Teaching
Overview
Ryann has extensive teaching experience in varied instructional settings. She was appointed the Qualitative Advisor for the Harvard University Sociology Department senior thesis writers in 2015-2016, and supervised two senior thesis writers in prior years. She served...
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- June 2013
- Article
Opting-in: Participation Bias in Economic Experiments
By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data...
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Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
Alexandra C. Feldberg
Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.
Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details
- Research Summary
Teaching Interests
Power and Influence, Work and Organizations, Social Movements and Organizations, Qualitative Research Methods, Organizational Theory, Organizational Behavior, Leadership, Social Enterprise
View Details- Research Summary
Overview
Pushing decision authority downward and increasing employee autonomy have become watchwords for the modern organization. Leaders of contemporary organizations view efforts to replace “command and control” systems with less-hierarchical approaches to organizing as...
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- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
lower them offers a strategic advantage. Cavallo coauthored the paper, forthcoming in American Economic Review: Insights, with Francesco Lippi, professor of economics at Luiss Guido Carli in Rome and a research fellow at the Einaudi...
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- 05 Aug 2013
- News
To Buy Happiness, Purchase an Experience
- 2018
- Working Paper
Semi-Parametric Estimation of Dynamic Discrete Choice Models
By: David Hao Zhang
I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the...
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Zhang, David Hao. "Semi-Parametric Estimation of Dynamic Discrete Choice Models." Working Paper, April 2018.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a...
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Keywords:
Efficiency Analysis;
Performance Benchmarking;
Warehousing;
Analytics and Data Science;
Performance Evaluation;
Measurement and Metrics;
Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- Research Summary
Overview
Empirically, Ryann uses a combination of in-depth qualitative field research and visual and textual archival data to examine moral action at multiple levels of analysis. Through observation and interviews, she aims to capture the lived experience of individuals and...
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- April 2001
- Article
Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration
By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer
We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration...
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Amabile, T. M., C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh, and S. Kramer. "Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration." Academy of Management Journal 44, no. 2 (April 2001): 418–431.
- April 1999 (Revised May 2000)
- Case
Compaq Computer: Intel Inside?
By: David E. Bell and Ann Leamon
Presents the results of quantitative and qualitative market research on the possible acceptance of a non-Intel processor in Compaq Computer's consumer notebook line. If the low-priced, non-Intel notebook is a success, the company will maintain or increase its 45% share...
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Keywords:
Distribution;
Production;
Success;
Performance Evaluation;
Mathematical Methods;
Competition;
Computer Industry
Bell, David E., and Ann Leamon. "Compaq Computer: Intel Inside?" Harvard Business School Case 599-061, April 1999. (Revised May 2000.)