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- Article
Matching in Networks with Bilateral Contracts: Corrigendum
By: John William Hatfield, Ravi Jagadeesan and Scott Duke Kominers
Hatfield and Kominers (2012) introduced a model of matching in networks with bilateral contracts and showed that stable outcomes exist in supply chains when firms' preferences over contracts are fully substitutable. Hatfield and Kominers (2012) also asserted that in... View Details
Hatfield, John William, Ravi Jagadeesan, and Scott Duke Kominers. "Matching in Networks with Bilateral Contracts: Corrigendum." American Economic Journal: Microeconomics 12, no. 3 (August 2020): 277–285.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- June 2020
- Teaching Note
Understanding the Brand Equity of Nestlé Crunch Bar
By: Jill Avery and Gerald Zaltman
Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the... View Details
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- Article
Are Cost Advantages from a Modern Indian Hospital Transferable to the United States?
By: R. S. Kaplan, F. Erhun, V.G. Narayanan, B. Mistry and K. Brayton, et al
We use time-driven activity-based costing to estimate the cost of personnel and space for an elective coronary artery bypass graft (CABG) surgery at two U.S. hospitals, Intermountain and Baylor Heart, and Narayana Health (NH), in India. All three hospitals use modern... View Details
Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost; Organizational Structure; Performance Efficiency; India; United States
Kaplan, R. S., F. Erhun, V.G. Narayanan, B. Mistry, and K. Brayton, et al. "Are Cost Advantages from a Modern Indian Hospital Transferable to the United States?" American Heart Journal 224 (June 2020): 148–155.
- 2020
- Working Paper
Iterative Coordination and Innovation
By: Sourobh Ghosh and Andy Wu
Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent... View Details
Keywords: Innovation; Goals; Specialization; Coordination; Field Experiment; Software Development; Organizations; Collaborative Innovation and Invention; Goals and Objectives; Integration; Software
Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation." Harvard Business School Working Paper, No. 20-121, January 2020.
- May 2020
- Article
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." Quarterly Journal of Economics 135, no. 2 (May 2020): 785–843.
- May 2020
- Article
Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms
By: Michaela Kerrissey, Patricia Satterstrom and Amy C. Edmondson
Novel forms of teamwork—created by rapid change and growing diversity among collaborators—are increasingly common, and they present substantial methodological challenges for research. We highlight two aspects of new team forms that challenge conventional methods.... View Details
Keywords: Team Member Fluidity; Temporary Teams; Knowledge Diversity; Entitativity; Concordance; Methods; Groups and Teams; Problems and Challenges; Research
Kerrissey, Michaela, Patricia Satterstrom, and Amy C. Edmondson. "Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms." Special Issue on The Challenges of Working with "Real" Teams. Organizational Psychology Review 10, no. 2 (May 2020): 62–86.
- May 2020
- Article
Inventory Auditing and Replenishment Using Point-of-Sales Data
By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details
Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods
Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
- 2020
- Working Paper
Demystifying the Math of the Coronavirus
By: Elon Kohlberg and Abraham Neyman
We provide an elementary mathematical description of the spread of the coronavirus. We explain two fundamental relationships: How the rate of growth in new infections is determined by the “effective reproductive number” and how the effective reproductive number is... View Details
Kohlberg, Elon, and Abraham Neyman. "Demystifying the Math of the Coronavirus." Harvard Business School Working Paper, No. 20-112, April 2020. (Revised May 2020.)
- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for... View Details
Keywords: Incentive-compatible Elicitation; Experimental Methods; Weather Insurance; Rainfall Insurance; Agricultural Extension; Demand and Consumers
Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.
- 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.
- March 2020
- Article
Context, Time, and Change: Historical Approaches to Entrepreneurship Research
By: R. Daniel Wadhwani, David A. Kirsch, Frederike Welter, William B. Gartner and Geoffrey Jones
The article discusses the value of historical methods and reasoning in strategic entrepreneurship research and theory. A framework is introduced for integrating history into entrepreneurship theory. The framework demonstrates how historical assumptions play a formative... View Details
Wadhwani, R. Daniel, David A. Kirsch, Frederike Welter, William B. Gartner, and Geoffrey Jones. "Context, Time, and Change: Historical Approaches to Entrepreneurship Research." Strategic Entrepreneurship Journal 14, no. 1 (March 2020): 3–19.
- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- Article
History-informed Strategy Research: The Promise of History and Historical Research Methods in Advancing Strategy Scholarship
By: Nicholas Argyres, Alfredo De Massis, Nicolai J. Foss, Federico Frattini, Geoffrey Jones and Brian Silverman
Recent years have seen an increasing interest in the use of history and historical research methods in strategy research. This article discusses how and why history and historical research methods can enrich theoretical explanations of strategy phenomena. The article... View Details
Argyres, Nicholas, Alfredo De Massis, Nicolai J. Foss, Federico Frattini, Geoffrey Jones, and Brian Silverman. "History-informed Strategy Research: The Promise of History and Historical Research Methods in Advancing Strategy Scholarship." Strategic Management Journal 41, no. 3 (March 2020): 343–368.
- Article
Innovation Contests for High-Tech Procurement
By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and... View Details
Keywords: Open Innovation; Contests; Crowdsourcing; Nasa; Evaluation; Acquisition; Information Technology; Innovation and Invention; Performance Evaluation; Framework
Hyun Paik, Jin, Martin Scholl, Rinat A. Sergeev, Steven Randazzo, and Karim R. Lakhani. "Innovation Contests for High-Tech Procurement." Research-Technology Management 63, no. 2 (March–April 2020): 36–45.
- 2021
- Working Paper
Impact Investing: A Theory of Financing Social Enterprises
By: Benjamin N. Roth
I present a model of financing social enterprises to delineate the role of impact investors relative to “pure” philanthropists. I characterize the optimal scale and structure of a social enterprise when financed by grants, and when financed by investments. Impact... View Details
Roth, Benjamin N. "Impact Investing: A Theory of Financing Social Enterprises." Harvard Business School Working Paper, No. 20-078, February 2020. (Revised June 2021.)
- January 22, 2020
- Article
Making Honest Conversations the Norm
By: Michael Beer
Much admired companies like Boeing and Wells Fargo sacrifice their competitive advantage. Some make huge ethical blunders. As a result, shareholders suffer huge losses in value while employees, customers, and society lose trust and confidence in the institution. Based... View Details
Keywords: Honesty; Interpersonal Communication; Framework; Organizational Culture; Trust; Performance Effectiveness
Beer, Michael. "Making Honest Conversations the Norm." ChangeThis (blog) (January 22, 2020).