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- All HBS Web
(691)
- News (61)
- Research (506)
- Events (7)
- Multimedia (4)
- Faculty Publications (357)
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- March–April 2017
- Article
Advancing Conservation by Understanding and Influencing Human Behavior
By: Sheila M. Reddy, Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher and Stanley T. Asah
Behavioral sciences can advance conservation by systematically identifying behavioral barriers to conservation and how to best overcome them. Behavioral sciences have informed policy in many other realms (e.g., health, savings), but they are a largely untapped resource... View Details
Keywords: Adaptive Management; Awareness; Behavioral Economics; Behavioral Science; Conservation Intervention; Conservation Planning; Decision-making; Incentives; Nudge; Management; Motivation and Incentives; Behavior; Marketing; Decision Making; Environmental Sustainability; Economics
Reddy, Sheila M., Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher, and Stanley T. Asah. "Advancing Conservation by Understanding and Influencing Human Behavior." Conservation Letters 10, no. 2 (March–April 2017): 248–256. (doi:10.1111/conl.12252.)
- 08 Aug 2006
- Working Paper Summaries
Entrepreneurship and Business History: Renewing the Research Agenda
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
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 bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- 2022
- Article
Improving Efficiency and Reducing Costs of MRI-Guided Prostate Brachytherapy Using Time-Driven Activity-Based Costing
By: Nikhil G. Thaker, Rajat J. Kudchadker, James R. Incalcaterra, Tharakeswara K. Bathala, Robert S. Kaplan, Ankit Agarwal, Deborah A. Kuban, Benjamin D. Frank, Prajnan Das, Thomas W. Feeley and Steven J. Frank
Integrated quality improvement (QI) and cost reduction strategies can help increase value in cancer care. We applied standard QI and TDABC methods to improve workflow efficiency and reduce costs for MRI-guided prostate brachytherapy. We constructed process maps,... View Details
Keywords: Brachytherapy; Quality Improvement; Prostate; Time-Driven Activity-Based Costing; Cost Accounting; Health Care and Treatment; Performance Efficiency; Health Industry
Thaker, Nikhil G., Rajat J. Kudchadker, James R. Incalcaterra, Tharakeswara K. Bathala, Robert S. Kaplan, Ankit Agarwal, Deborah A. Kuban, Benjamin D. Frank, Prajnan Das, Thomas W. Feeley, and Steven J. Frank. "Improving Efficiency and Reducing Costs of MRI-Guided Prostate Brachytherapy Using Time-Driven Activity-Based Costing." Brachytherapy 21, no. 1 (2022): 49–54.
- May–June 2015
- Other Article
HRM at a Crossroads: Comments on 'Evolution of Strategic HRM Through Two Founding Books: A 30th Anniversary Perspective on Development of the Field'
By: Michael Beer
I agree with Bruce Kaufman's evaluation of the HRM field and the danger to its relevance if change does not take place in the field's almost exclusive use of normal science, lack of focus on organizational change and development and indifference to the development of... View Details
Beer, Michael. "HRM at a Crossroads: Comments on 'Evolution of Strategic HRM Through Two Founding Books: A 30th Anniversary Perspective on Development of the Field'." Human Resource Management 54, no. 3 (May–June 2015): 417–421.
- 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.
- 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.
- 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.
- 27 Jan 2010
- Working Paper Summaries
Labor Regulations and European Private Equity
Keywords: by Ant Bozkaya & William R. Kerr
- 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.
- 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.
- 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
- 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).
- 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.