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- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- December 2021
- Article
Employee Responses to Compensation Changes: Evidence from a Sales Firm
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
What are the long-term consequences of compensation changes? Using data from an inbound sales call center, we study employee responses to a compensation change that ultimately reduced take-home pay by 7% for the average affected worker. The change caused a significant... View Details
Keywords: Employees; Wages; Compensation and Benefits; Change; Performance; Resignation and Termination; Retention; Analysis
Sandvik, Jason, Richard Saouma, Nathan Seegert, and Christopher Stanton. "Employee Responses to Compensation Changes: Evidence from a Sales Firm." Management Science 67, no. 12 (December 2021): 7687–7707.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- 2022
- Working Paper
Where the Cloud Rests: The Location Strategies of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
- 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.
- Working Paper
Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S.
By: Pragya Kakani, Michael Chernew and Amitabh Chandra
Rising list prices are often used to illustrate the burden of prescription drug spending, but payers routinely negotiate rebates from manufacturers that generate differences between list and net prices. List prices are easily available and affect patient cost-sharing,... View Details
Keywords: Pharmaceuticals; Rebates; Health Care and Treatment; Markets; Price; Analysis; Pharmaceutical Industry
Kakani, Pragya, Michael Chernew, and Amitabh Chandra. "Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S." NBER Working Paper Series, No. 26846, March 2020.
- Article
Achieving Value in Highly Complex Acute Care: Lessons from the Delivery of Extra Corporeal Life Support
By: Michael Nurok, Jonathan Warsh, Erik Dong, Jeffrey Lopez, Mayumi Kharabi and Robert S. Kaplan
We applied a value (outcomes and cost) analysis to extracorporeal life support (ECLS), a relatively rare but very expensive ICU therapy with highly variable outcomes. To address the outcome component of the value approach, we created guidelines for ECLS delivery; to... View Details
Nurok, Michael, Jonathan Warsh, Erik Dong, Jeffrey Lopez, Mayumi Kharabi, and Robert S. Kaplan. "Achieving Value in Highly Complex Acute Care: Lessons from the Delivery of Extra Corporeal Life Support." NEJM Catalyst (October 31, 2019).
- April 2019
- Article
Incentives for Public Goods Inside Organizations: Field Experimental Evidence
By: Andrea Blasco, Olivia S. Jung, Karim R. Lakhani and Michael Menietti
Understanding why employees go the extra mile at work is a key problem for many organizations. We conduct a field experiment at a medical organization to study motivations for employees to submit project proposals for organizational improvement. In total, we analyze... View Details
Keywords: Field Experiment; Innovation; Contest; Incentives; Free-rider Problem; Healthcare Organizations; Employees; Motivation and Incentives; Innovation and Invention; Organizations; Performance Improvement; Perspective
Blasco, Andrea, Olivia S. Jung, Karim R. Lakhani, and Michael Menietti. "Incentives for Public Goods Inside Organizations: Field Experimental Evidence." Journal of Economic Behavior & Organization 160 (April 2019): 214–229.
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- May 2018 (Revised February 2019)
- Teaching Note
Greg Mazur and the Purchase of Great Eastern Premium Pet Foods
By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld
Teaching Note for HBS No. 211-085. Greg Mazur (HBS 1997) identified a small firm, Great Eastern Premium Pet Food, in December of 1998 that fit his search criteria and decided to offer the seller a cash price of $1.2 million plus an earn-out equal to 1% of revenue over... View Details
- February 2017
- Background Note
Decision Analysis
By: George Wu and Kathleen McGinn
Describes decision analysis, a systematic approach for analyzing decision problems. A running example illustrates problem structuring (decision trees), probability assessment, endpoint evaluation, “folding back the tree” as a method of analysis, and sensitivity... View Details
Wu, George, and Kathleen McGinn. "Decision Analysis." Harvard Business School Background Note 917-018, February 2017.
- October 2016 (Revised February 2019)
- Module Note
Strategy Execution Module 5: Building a Profit Plan
By: Robert Simons
This module reading describes how to build a profit plan to reflect the strategy of a business in economic terms. After introducing the profit wheel, cash wheel, and ROE wheel, the module illustrates how to use a profit plan to assess the viability of different... View Details
Keywords: Management Control Systems; Implementing Strategy; Execution; Profit Planning; Cash Flow Analysis; Asset Utilization; Return On Equity; Business Planning; Testing Strategy; Analyzing Strategic Alternative; Strategy; Asset Management; Cash Flow; Investment Return; Management Systems; Profit
Simons, Robert. "Strategy Execution Module 5: Building a Profit Plan." Harvard Business School Module Note 117-105, October 2016. (Revised February 2019.)
- Fall 2016
- Article
How Do Customers Respond to Increased Service Quality Competition?
When does increased service quality competition lead to customer defection, and which customers are most likely to defect? Our empirical analysis of 82,235 customers exploits the varying competitive dynamics in 644 geographically isolated markets in which a nationwide... View Details
Keywords: Service Quality Competition; Retail Banks; Empirical Operations; Retention; Service Operations; Quality; Competition; Banking Industry; United States
Buell, Ryan W., Dennis Campbell, and Frances X. Frei. "How Do Customers Respond to Increased Service Quality Competition?" Manufacturing & Service Operations Management 18, no. 4 (Fall 2016): 585–607.
- March 2016
- Article
An Analysis of Firms' Self-reported Anticorruption Efforts
By: Paul M. Healy and George Serafeim
We use Transparency International's ratings of self-reported anticorruption efforts for 480 corporations to analyze factors underlying the ratings. Our tests examine whether these forms of disclosure reflect firms' real efforts to combat corruption or are cheap talk.... View Details
Keywords: Corruption; Corporate Performance; Growth; Disclosure; Disclosure Strategy; Sustainability; Crime and Corruption; Corporate Disclosure; Performance; Sales
Healy, Paul M., and George Serafeim. "An Analysis of Firms' Self-reported Anticorruption Efforts." Accounting Review 91, no. 2 (March 2016): 489–511.
- 2015
- Working Paper
Client Service, Compensation, and the Sell-Side Analyst Objective Function: An Empirical Analysis of Relational Incentives in the Investment-Research Industry
By: David A. Maber, Boris Groysberg and Paul M. Healy
This paper investigates how sell-side analysts build and sustain their client networks; the economic gains to successfully managing this challenge; and the metrics through which these incentives are delivered. In a typical semiannual period, the average analyst... View Details
Keywords: Networks; Measurement and Metrics; Operations; Customer Focus and Relationships; Jobs and Positions
Maber, David A., Boris Groysberg, and Paul M. Healy. "Client Service, Compensation, and the Sell-Side Analyst Objective Function: An Empirical Analysis of Relational Incentives in the Investment-Research Industry." Working Paper, 2015.
- 2010
- Chapter
Measuring and Managing Macrofinancial Risk and Financial Stability: A New Framework
By: Dale F. Gray, Robert C. Merton and Zvi Bodie
This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of... View Details
- 2008
- Working Paper
New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability
By: Dale F. Gray, Robert C. Merton and Zvi Bodie
This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of... View Details
Gray, Dale F., Robert C. Merton, and Zvi Bodie. "New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability." Harvard Business School Working Paper, No. 09-015, August 2008. (Revised.)
- 2007
- Working Paper
New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability
By: Dale F. Gray, Robert C. Merton and Zvi Bodie
This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of... View Details
Gray, Dale F., Robert C. Merton, and Zvi Bodie. "New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability." NBER Working Paper Series, No. 13607, November 2007.