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(666)
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Show Results For
- All HBS Web
(666)
- News (61)
- Research (495)
- Events (7)
- Multimedia (4)
- Faculty Publications (342)
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers
Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
Keywords: Modularity; Value Structure Mapping; Value Capture; Information Technology; Organizations; Strategy; Value Creation
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers." Harvard Business School Working Paper, No. 21-040, September 2020.
- 2015
- Working Paper
Implied Materiality and Material Disclosures of Credit Ratings
By: Robert G. Eccles and Tim Youmans
This first of three papers in our series on materiality in credit ratings will examine the materiality of credit ratings from an "implied materiality" and governance disclosure perspective. In the second paper, we will explore the materiality of environmental, social,... View Details
Eccles, Robert G., and Tim Youmans. "Implied Materiality and Material Disclosures of Credit Ratings." Harvard Business School Working Paper, No. 15-079, April 2015.
- 2012
- Working Paper
The Determinants of National Competitiveness
By: Mercedes Delgado, Christian Ketels, Michael E. Porter and Scott Stern
We define foundational competitiveness as the expected level of output per working-age individual that is supported by the overall quality of a country as a place to do business. The focus on output per potential worker, a broader measure of national productivity than... View Details
Delgado, Mercedes, Christian Ketels, Michael E. Porter, and Scott Stern. "The Determinants of National Competitiveness." NBER Working Paper Series, No. 18249, July 2012.
- 26 Jan 2018
- HBS Seminar
John Helveston, Boston University
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2024
- Working Paper
AI Companions Reduce Loneliness
By: Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp and Puntoni Stefano
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
De Freitas, Julian, Ahmet K Uguralp, Zeliha O Uguralp, and Puntoni Stefano. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details
Hanson, Samuel G., David O. Lucca, and Jonathan H. Wright. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates." Quarterly Journal of Economics 136, no. 3 (August 2021): 1719–1781.
- 2019
- Working Paper
Does Apple Anchor a Shopping Mall? The Effect of the Technology Stores on the Formation of Market Structure
By: Doug J. Chung, Kyoungwon Seo and Reo Song
This study examines the effect of technology stores—company-owned Apple and Microsoft retail stores—on mall configuration. We formulate a structural model that considers the endogenous location decisions of retail stores, taking into account both market characteristics... View Details
Keywords: Apple Store; New Anchor Store; Discrete Game; Complete Information; Multiple Equilibria; GPGPU Technology; Simulator; Bayesian Estimation; Shopping Mall; Spillover
Chung, Doug J., Kyoungwon Seo, and Reo Song. "Does Apple Anchor a Shopping Mall? The Effect of the Technology Stores on the Formation of Market Structure." Harvard Business School Working Paper, No. 20-066, December 2019.
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
James Evans, professor at the University of Chicago, and Misha Teplitskiy, assistant professor at the University of Michigan. People in the same discipline “ask the similar questions and approach those questions methodologically in... View Details
Keywords: by Ben Rand
- 30 May 2017
- First Look
First Look at New Research and Ideas, May 30
diverse methodology to understand the relationships between firm boundaries, firm activities, and geographic borders. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52688 2017 Geography, Location, and Strategy.... View Details
Keywords: Sean Silverthorne
- March 2018
- Article
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions
By: Eva Ascarza, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce Hardie, Aurelie Lemmens, Barak Libai, David T. Neal, Foster Provost and Rom Schrift
In today’s turbulent business environment, customer retention presents a significant challenge for many service companies. Academics have generated a large body of research that addresses part of that challenge—with a particular focus on predicting customer churn.... View Details
Ascarza, Eva, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce Hardie, Aurelie Lemmens, Barak Libai, David T. Neal, Foster Provost, and Rom Schrift. "In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions." Special Issue on 2016 Choice Symposium. Customer Needs and Solutions 5, nos. 1-2 (March 2018): 65–81.
- Web
Program Requirements - Doctoral
2144) Computational Economics (Econ 2149) Time Series Analysis (Econ 2142) Seminar in Applied Statistical Methods (HBS 4809) Research methods courses that meet the research design course requirement include, but are not limited to: Advanced Quantitative Research View Details
- 27 Oct 2009
- Working Paper Summaries
Stock Price Fragility
Keywords: by Robin Greenwood & David Thesmar
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- January 2020
- Article
Using Time-Driven Activity-Based Costing to Demonstrate Value in Perioperative Care: Recommendations and Review from the Society for Perioperative Assessment and Quality Improvement
By: O. Allin, R. D. Urman, A. F. Edwards, J. D. Blitz, K. J. Pfeifer, T. W. Feeley and A. M. Bader
A shift in health care payment models from volume toward value-based incentives will require deliberate input into systems development from both perioperative clinicians and administrators to ensure appropriate recognition of the value of all services... View Details
Keywords: Value-based Health Care; Outcomes; Time-Driven Activity-Based Costing; Health Care and Treatment; Cost Management; Value; Activity Based Costing and Management
Allin, O., R. D. Urman, A. F. Edwards, J. D. Blitz, K. J. Pfeifer, T. W. Feeley, and A. M. Bader. "Using Time-Driven Activity-Based Costing to Demonstrate Value in Perioperative Care: Recommendations and Review from the Society for Perioperative Assessment and Quality Improvement." Journal of Medical Systems 44, no. 1 (January 2020).