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(1,329)
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- Multimedia (11)
- Faculty Publications (307)
Show Results For
- All HBS Web
(1,329)
- People (20)
- News (193)
- Research (689)
- Events (5)
- Multimedia (11)
- Faculty Publications (307)
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- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
- February 2008
- Supplement
Avaya (C): Implementing Demand Generation in Brazil
Avaya's top management wants to improve demand generation. This requires an improvement in the relationship between Sales and Marketing. This case series (Avaya (A)-(D)) walks the student through each phase of this process. The (A) case begins with background on the... View Details
Godes, David B. "Avaya (C): Implementing Demand Generation in Brazil." Harvard Business School Supplement 508-050, February 2008.
- 06 Apr 2020
- Working Paper Summaries
A General Theory of Identification
Keywords: by Iavor Bojinov and Guillaume Basse
- November–December 2019
- Article
Pivoting Isn't Enough? Managing Strategic Reorientation in New Ventures
By: Rory McDonald and Cheng Gao
New ventures often experience deviations from their plans that oblige them to reorient in pursuit of better fit between their evolving products and their target customers. Yet research is largely silent on how managers explain such changes and justify their ventures in... View Details
Keywords: Strategic Reorientation; Technology Entrepreneurship; Innovation; Product Development Processes; Organizational Adaptation; Qualitative Methods (General); Entrepreneurship; Information Technology; Organizational Change and Adaptation; Strategy; Innovation and Invention; Product Development; Communication Strategy
McDonald, Rory, and Cheng Gao. "Pivoting Isn't Enough? Managing Strategic Reorientation in New Ventures." Organization Science 30, no. 6 (November–December 2019): 1289–1318.
- 2017
- Article
Natural Environmental Responsibility in Indian Corporations: A Mixed Method Study
By: Shashank Shah
The world is going through unprecedented environmental crisis. The type of destruction and dissolution of natural resources and elements by individuals and institutions that has been witnessed in the last century is much more than that witnessed in the previous... View Details
Keywords: Corporate Social Responsibility and Impact; Environmental Sustainability; Natural Environment; Management Practices and Processes; Research; Framework; India
Shah, Shashank. "Natural Environmental Responsibility in Indian Corporations: A Mixed Method Study." Journal of Human Values 20, no. 2 (October 2014): 129–151.
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- April 2012 (Revised August 2013)
- Case
General Motors Technical Center India – Powertrain Engineering
By: Willy Shih, William Jurist, Brian McIntosh and Helen Wang
Prabjot Nanua was proud of the growing capabilities of the General Motors Technical Center India Powertrain Engineering group that he oversaw. Since 2003, engineers there had expanded the center's capabilities, developing a reputation within GM for completing... View Details
Keywords: Decision Choices and Conditions; Business Headquarters; Research and Development; Business Strategy; Manufacturing Industry; Auto Industry; India
Shih, Willy, William Jurist, Brian McIntosh, and Helen Wang. "General Motors Technical Center India – Powertrain Engineering." Harvard Business School Case 612-074, April 2012. (Revised August 2013.)
- February 2008 (Revised May 2009)
- Supplement
Avaya (D): Early Results of the Demand Generation Initiative
Avaya's top management wants to improve demand generation. This requires an improvement in the relationship between Sales and Marketing. This case series (Avaya (A)-(D)) walks the student through each phase of this process. The (A) case begins with background on the... View Details
Godes, David B. "Avaya (D): Early Results of the Demand Generation Initiative." Harvard Business School Supplement 508-051, February 2008. (Revised May 2009.)
- 2016
- Working Paper
Pivoting Isn't Enough: Principled Pragmatism and Strategic Reorientation in New Ventures
By: Rory McDonald and Cheng Gao
New technology ventures often experience deviations from their original plans that oblige them to reorient in pursuit of better fit between their evolving products and target customers. Yet research is largely silent on how entrepreneurs explain and justify their... View Details
Keywords: Strategic Reorientation; Technology Entrepreneurship; Innovation; Product Development Processes; Organizational Adaptation; Qualitative Methods (General); Information Technology; Organizational Change and Adaptation; Communication; Entrepreneurship; Alignment; Innovation and Invention; Product Development
- August 2021
- Article
A Mixed Methods Study of Change Processes Enabling Effective Transition to Team-based Care
By: Michael Anne Kyle, Emma-Louise Aveling and Sara J. Singer
Team-based care is considered central to achieving value in primary care, yet results of large-scale primary care transformation initiatives have been mixed. We explore how underlying change processes influence the effectiveness of transition to team-based care. We... View Details
Keywords: Team-based Care; Primary Care; Health Care and Treatment; Transformation; Groups and Teams; Change Management
Kyle, Michael Anne, Emma-Louise Aveling, and Sara J. Singer. "A Mixed Methods Study of Change Processes Enabling Effective Transition to Team-based Care." Medical Care Research and Review 78, no. 4 (August 2021): 326–337.
- 10 Mar 2010
- Working Paper Summaries
A Reexamination of Tunneling and Business Groups: New Data and New Methods
- 2013
- Chapter
Weighted Generating Functions for Type II Lattices and Codes
By: Noam D. Elkies and Scott Duke Kominers
We give a new structural development of harmonic polynomials on Hamming space, and harmonic weight enumerators of binary linear codes, that parallels one approach to harmonic polynomials on Euclidean space and weighted theta functions of Euclidean lattices. Namely, we... View Details
Keywords: Mathematical Methods
Elkies, Noam D., and Scott Duke Kominers. "Weighted Generating Functions for Type II Lattices and Codes." In Quadratic and Higher Degree Forms. Vol. 31, edited by Alladi Krishnaswami, Manjul Bhargava, David Savitt, and Pham Huu Tiep, 63–108. Developments in Mathematics. Springer, 2013.
- 02 May 2005
- What Do You Think?
Where is Consumer Generated Marketing Taking Us?
Summing Up Consumer generated marketing is a fact of life to which all of us will have to adapt. Adaptation means learning how to use CGM to provide one form of input in fashioning product and marketing decisions. Those are the messages... View Details
Keywords: by James Heskett
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- 1995
- Chapter
Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets
By: Julio J. Rotemberg and Michael Woodford
- Research Summary
Overview
I am an ethnographer and field researcher studying how people experience and interpret their work and cultural contexts, as well as how this shapes inequality and organizational outcomes like normative control. I specialize in utilizing in-depth, inductive field... View Details
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- June 2020
- Article
Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model
By: Rory McDonald and Kathleen Eisenhardt
Prior research advances several explanations for entrepreneurial success in nascent markets but leaves a key imperative unexplored: the business model. By studying five ventures in the same nascent market, we develop a novel theoretical framework for understanding how... View Details
Keywords: Search; Legitimacy; Organizational Innovation; Organizational Learning; Mechanisms And Processes; Institutional Entrepreneurship; Qualitative Methods; Business Model Design; Business Model; Business Startups; Entrepreneurship; Emerging Markets; Adaptation; Competition; Strategy
McDonald, Rory, and Kathleen Eisenhardt. "Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model." Administrative Science Quarterly 65, no. 2 (June 2020): 483–523.
- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.