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- 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.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- September 2022
- Article
Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles
By: Alyssa J. Tan, Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson and David A. Preece
Loneliness, a negative emotion stemming from the perception of unmet social needs, is a major public health concern. Current interventions often target social domains but produce small effects and are not as effective as established emotion regulation (ER)-based... View Details
Keywords: Emotions
Tan, Alyssa J., Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson, and David A. Preece. "Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles." Behaviour Change 39, no. 3 (September 2022): 180–190.
- Article
What Evolution Can Teach Us About Innovation
By: Noubar Afeyan and Gary P. Pisano
Many people believe that the process for achieving breakthrough innovations is chaotic, random, and unmanageable. But that view is flawed, the authors argue. Breakthroughs can be systematically generated using a process modeled on the principles that drive evolution in... View Details
Keywords: Breakthrough Innovation; Variance Generation; Selection Pressure; Emergent Discovery; Innovation and Invention; Value Creation; Innovation Leadership
Afeyan, Noubar, and Gary P. Pisano. "What Evolution Can Teach Us About Innovation." Harvard Business Review 99, no. 5 (September–October 2021): 62–72.
- October 2016 (Revised December 2016)
- Module Note
Strategy Execution Module 6: Evaluating Strategic Profit Performance
By: Robert Simons
This module reading demonstrates how to calculate and analyze the profit generated by different business strategies. Formulas and examples are provided to calculate profit generated by changes in market share, revenue growth, efficiency improvements, and support costs.... View Details
Keywords: Management Control Systems; Implementing Strategy; Execution; Evaluating Business Performance; Profitability Analysis; Variance Analysis; Measuring Effectiveness; Measuring Efficiency; Activity-Based Costing; Flexible Budget; Accounting; Strategy
Simons, Robert. "Strategy Execution Module 6: Evaluating Strategic Profit Performance." Harvard Business School Module Note 117-106, October 2016. (Revised December 2016.)
- January 2013
- Case
Luotang Power: Variances Explained
By: Robert Simons and Craig Chapman
The general manager of Luotang Power, a coal-fired power plant located in central China, reviews annual results before a meeting with the board of directors. He thought the company performed well during the year and both plant availability and fuel economy had improved... View Details
Keywords: China; Financial Statements; Management Accounting; Variance Analysis; Environmental Regulations; Incentives; Electric Power Generation; Contracts; Valuation; Energy Generation; Accounting; Performance Evaluation; Energy Industry; China
Simons, Robert, and Craig Chapman. "Luotang Power: Variances Explained." Harvard Business School Brief Case 913-533, January 2013.
- January 2013 (Revised March 2017)
- Teaching Note
Luotang Power: Variances Explained (Brief Case)
By: Robert Simons and Craig Chapman
The primary objective is to explore the concepts of variance analysis in performance from one year to the next and the predictability of contracting counterparts to extract value from contract positions where they can. The general manager of a coal-fired power plant... View Details
- November 2012
- Article
The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering
By: Samuel G. Hanson and Adi Sunderam
Non-parametric estimators of treatment effects are often applied in settings where clustering may be important. We provide a general methodology for consistently estimating the variance of a large class of non-parametric estimators, including the simple matching... View Details
Keywords: Treatment Effects; Matching Estimators; Clustering; Applications and Software; Mathematical Methods
Hanson, Samuel G., and Adi Sunderam. "The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering." Review of Economics and Statistics 94, no. 4 (November 2012). (Stata and Matlab Code Here.)
- October 2004 (Revised January 2006)
- Tutorial
Introduction to Responsibility Accounting Systems
By: David F. Hawkins, V.G. Narayanan, Jacob Cohen and Michele Jurgens
Responsibility accounting systems generate financial and related nonfinancial information about the actual and planned activities of a company's responsibility centers--organizational units headed by managers responsible for a unit's performance. The principal... View Details
- Other Article
What Do We Know About Variance in Accounting Profitability?
By: Anita M. McGahan and Michael E. Porter
In this paper, we analyze the variance of accounting profitability among a broad cross-section of firms in the American economy from 1981 to 1994. The purpose of the analysis is to identify the importance of year, industry, corporate-parent, and business-specific... View Details
McGahan, Anita M., and Michael E. Porter. "What Do We Know About Variance in Accounting Profitability?" Management Science 48, no. 7 (July 2002): 834–851.
- Article
Variance-Minimizing Monetary Policies with Lagged Price Adjustment and Rational Expectations
By: Jerry R. Green and Seppo Honkapohja
This paper considers a macroeconomic model with rational expectations in which prices are incompletely flexible. Markets therefore fail to clear. In such a model monetary policy is not neutral. The variance of real and nominal quantities and interest rates is sensitive... View Details
Green, Jerry R., and Seppo Honkapohja. "Variance-Minimizing Monetary Policies with Lagged Price Adjustment and Rational Expectations." European Economic Review 20, nos. 1-3 (January 1983): 123–141.
- Article
Paradise Lost (and Restored?): A Study of Psychological Safety over Time
By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson
Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details
Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry
Bransby, Derrick P., Michaela Kerrissey, and Amy C. Edmondson. "Paradise Lost (and Restored?): A Study of Psychological Safety over Time." Academy of Management Discoveries (in press). (Pre-published online March 14, 2024.)