Filter Results:
(1,222)
Show Results For
- All HBS Web
(1,222)
- People (20)
- News (201)
- Research (701)
- Events (7)
- Multimedia (11)
- Faculty Publications (309)
Show Results For
- All HBS Web
(1,222)
- People (20)
- News (201)
- Research (701)
- Events (7)
- Multimedia (11)
- Faculty Publications (309)
- 03 Dec 2024
- HBS Seminar
Jing Dong, Columbia
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- Research Summary
Microwedges: Challenging power one small opening at a time [Dissertation, job market paper]
Based on a 31-month qualitative inductive study of multidisciplinary change teams, I introduce the concept of the “microwedge”—a small action or series of actions by team members that allows the team to examine their own assumptions so that they can begin to engage... View Details
- 20 Nov 2012
- First Look
First Look: November 20
has received substantial attention in the strategy literature, where a number of qualitative approaches to describe, represent, and evaluate business models have been proposed. We contend that while helpful to understand a firm's overall... View Details
Keywords: Sean Silverthorne
- October 2003 (Revised January 2004)
- Case
ITC eChoupal Initiative, The
Soybean farmers in India have traditionally sold their product through ineffective and frequently dishonest physical marketplaces (mandi). Farmers are generally poor and often illiterate and are forced to be "price-takers" after an arduous journey to the mandi. They... View Details
Keywords: Plant-Based Agribusiness; Fairness; Internet and the Web; Supply Chain Management; Emerging Markets; Agriculture and Agribusiness Industry; India
Upton, David M., and Virginia Fuller. "ITC eChoupal Initiative, The." Harvard Business School Case 604-016, October 2003. (Revised January 2004.)
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
- 2010
- Working Paper
Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
By: Doug J. Chung, Thomas J. Steenburgh and K. Sudhir
We estimate a dynamic structural model of sales force response to a bonus based compensation plan. The paper has two main methodological innovations: First, we implement empirically the method proposed by Arcidiacono and Miller (2010) to accommodate unobserved latent... View Details
Keywords: Compensation and Benefits; Performance Productivity; Mathematical Methods; Salesforce Management; Motivation and Incentives
Chung, Doug J., Thomas J. Steenburgh, and K. Sudhir. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans." Harvard Business School Working Paper, No. 11-041, October 2010.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- November 1991 (Revised June 1997)
- Case
Micom Caribe (A)
By: David M. Upton and Joshua D. Margolis
Describes the Puerto Rican manufacturing plant of a transnational company. The award-winning plant has dramatically improved the quality of flexibility of its operations, by taking a radical approach to manufacturing. The methods center on the use of specific... View Details
Keywords: Business Plan; Multinational Firms and Management; Management Analysis, Tools, and Techniques; Product Launch; Production; Performance Improvement; Quality; Strategy; Manufacturing Industry
Upton, David M., and Joshua D. Margolis. "Micom Caribe (A)." Harvard Business School Case 692-002, November 1991. (Revised June 1997.)
- August 2021 (Revised September 2022)
- Case
Patch Technology: Making It Easy to Do the Right Thing
By: Tomomichi Amano, Robert J. Dolan and Carol Zhang
In 2021, the growing threat of climate change pushed companies around the world to understand that significant behavioral change was necessary. While many recognized that decreasing emissions was critical, more sophisticated players such as Microsoft began to recognize... View Details
Amano, Tomomichi, Robert J. Dolan, and Carol Zhang. "Patch Technology: Making It Easy to Do the Right Thing." Harvard Business School Case 522-037, August 2021. (Revised September 2022.)
- Article
Vungle Inc. Improves Monetization Using Big-Data Analytics
By: Bert De Reyck, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin and Andrew Kritzer
The advent of big data has created opportunities for firms to customize their products and services to unprecedented levels of granularity. Using big data to personalize an offering in real time, however, remains a major challenge. In the mobile advertising industry,... View Details
Keywords: Big Data; Monetization; Data and Data Sets; Advertising; Mobile Technology; Customization and Personalization; Performance Improvement
De Reyck, Bert, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin, and Andrew Kritzer. "Vungle Inc. Improves Monetization Using Big-Data Analytics." Interfaces 47, no. 5 (September–October 2017): 454–466.
- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- 2009
- Working Paper
Social Influence Given (Partially) Deliberate Matching: Career Imprints in the Creation of Academic Entrepreneurs
By: Pierre Azoulay, Christopher C. Liu and Toby E. Stuart
Actors often match with associates on a small set of dimensions that matter most for the particular relationship at hand. In so doing, they are exposed to unanticipated social influences because counterparts have more interests, attitudes, and preferences than would-be... View Details
Keywords: Entrepreneurship; Patents; Marketplace Matching; Mathematical Methods; Science-Based Business; Power and Influence; Social and Collaborative Networks; Biotechnology Industry
Azoulay, Pierre, Christopher C. Liu, and Toby E. Stuart. "Social Influence Given (Partially) Deliberate Matching: Career Imprints in the Creation of Academic Entrepreneurs." Harvard Business School Working Paper, No. 09-136, May 2009.
- January 2014
- Article
Pareto Efficiency in Robust Optimization
By: Dan Iancu and Nikolaos Trichakis
This paper formalizes and adapts the well-known concept of Pareto efficiency in the context of the popular robust optimization (RO) methodology for linear optimization problems. We argue that the classical RO paradigm need not produce solutions that possess the... View Details
Iancu, Dan, and Nikolaos Trichakis. "Pareto Efficiency in Robust Optimization." Management Science 60, no. 1 (January 2014): 130–147.
- Article
Refined Configuration Results for Extremal Type II Lattices of Ranks 40 and 80
By: Noam D. Elkies and Scott Duke Kominers
We show that, if L is an extremal Type II lattice of rank 40 or 80, then L is generated by its vectors of norm min(L)+2. This sharpens earlier results of Ozeki, and the second author and Abel, which showed that such lattices L are generated by their vectors of norms... View Details
Keywords: Mathematical Methods
Elkies, Noam D., and Scott Duke Kominers. "Refined Configuration Results for Extremal Type II Lattices of Ranks 40 and 80." Proceedings of the American Mathematical Society 138, no. 1 (January 2010): 105–108.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems
The purpose of this chapter is to investigate the means by which firms capture value in open platform systems. I begin by arguing that the surplus value created by complementarities within a technical system will be split among the owners of the unique and essential... View Details
Keywords: Open Platforms; Bottlenecks; Flow Production; Value Capture; Disintermediation; Production; Management; Digital Platforms
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems." Harvard Business School Working Paper, No. 20-054, November 2019.
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- Profile
Cathy Zhou
I had to stop amassing more skills and just make the leap to doing what I wanted to do. What have you most enjoyed about your career thus far? As a general manager at Uber, I love that the work my team and I do each day makes a direct... View Details
Keywords: Technology
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details