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- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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- January–February 2021
- Article
Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword
By: Andreea Gorbatai, Cyrus Dioun and Kisha Lashley
Legitimacy is critical to the formation and expansion of nascent fields because it lends credibility and recognizability to once overlooked actors and practices. At the same time, legitimacy can be a double-edged sword precisely because it facilitates field growth,...
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- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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- April 2020 (Revised June 2022)
- Technical Note
Quantitative Analysis in Marketing
By: Sunil Gupta
Marketing is a combination of art and science that requires both qualitative and quantitative analysis to arrive at effective decisions. This note highlights how quantitative analysis can help in the following marketing decisions: estimating market size, determining...
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- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...
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- June 2018
- Case
Japan: Deficits, Deflation and Debt
By: Richard H.K. Vietor and Haviland Sheldahl-Thomason
In April 2018, Prime Minister Shinzo Abe was again in Washington to petition Donald Trump. After years of rapid, export-led growth, Japan had slumped into recession in 1991 and never really recovered. For the past 27 years, its economy has grown at 1.1% annually,...
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- June 2018
- Case
Forta Furniture: International Expansion
By: John A. Quelch and Karthik Easwar
The Forta Furniture case highlights the need to consider new market expansion to grow a firm. It demonstrates that simply doing what has always been done is not sustainable when other competitors enter the market with differentiated or potentially superior offerings....
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- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,...
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- November 28, 2017
- Editorial
Active Investing v.2.0
By: Gabriel Karageorgiou and George Serafeim
- November 2016 (Revised March 2018)
- Module Note
Strategy Execution Module 9: Building a Balanced Scorecard
By: Robert Simons
This module reading explains how to construct a strategy map and build a balanced scorecard. Using an internal value chain model, the module illustrates how a balanced scorecard can support and enable customer management, innovation, operations, and post-sale service...
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- November 2016 (Revised December 2016)
- Module Note
Strategy Execution Module 7: Designing Asset Allocation Systems
By: Robert Simons
This module reading provides tools and analyses for acquiring and allocating resources. The module begins by reviewing the importance of setting strategic boundaries as a basis for asset acquisitions. Next, a distinction is made between new assets acquired to meet...
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- 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....
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- 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...
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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
- September 2016 (Revised January 2018)
- Module Note
Strategy Execution Module 4: Organizing for Performance
By: Robert Simons
This module reading explores the implications of different business models on organization design. After discussing the distinction between units focused on work processes and those devoted to markets, the analysis provides insight as to when to organize businesses by...
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- September 2016 (Revised March 2017)
- Module Note
Strategy Execution Module 3: Using Information for Performance Measurement and Control
By: Robert Simons
This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers...
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- August 2016 (Revised December 2016)
- Module Note
Strategy Execution Module 2: Building a Successful Strategy
By: Robert Simons
This module reading describes the basics of building a successful strategy. Topics in this module include a discussion of the distinction between corporate and business strategy; how to conduct a SWOT analysis of market dynamics and internal capabilities; the use of...
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- 2019
- Working Paper
Fiscal Rules and Sovereign Default
By: Laura Alfaro and Fabio Kanczuk
Recurrent concerns over debt sustainability in emerging and developed nations have prompted renewed debate on the role of fiscal rules. Their optimality, however, remains unclear. We provide a quantitative analysis of fiscal rules in a standard model of sovereign debt...
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- Article
Transition to Clean Technology
By: Daron Acemoglu, Ufuk Akcigit, Douglas Hanley and William R. Kerr
We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation, in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the...
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- March 2015
- Article
Business Model Evaluation: Quantifying Walmart's Sources of Advantage
By: Humberto Brea-Solís, Ramon Casadesus-Masanell and Emili Grifell-Tatjé
We develop an analytical framework on the basis of the economics of business performance to provide quantitative insight into the link between a firm's business model choices and its profit consequences. The method is applied to Walmart by building a qualitative...
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