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(808)
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- Faculty Publications (330)
Show Results For
- All HBS Web
(808)
- People (1)
- News (87)
- Research (606)
- Events (8)
- Multimedia (6)
- Faculty Publications (330)
- 14 Apr 2014
- Working Paper Summaries
Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces
- 30 Oct 2007
- First Look
First Look: October 30, 2007
cognitive processes through which a problem is interpreted associatively in terms of something that has been experienced in the past. Despite recognition's centrality to strategic choice, we have limited knowledge of its nature and its... View Details
Keywords: Sean Silverthorne
- 02 Feb 2007
- Working Paper Summaries
Do Employment Protections Reduce Productivity? Evidence from U.S. States
- 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... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
The Global Rise of Democracy
We examine the influence of an interstate network created by intergovernmental organizations (IGOs) on the global diffusion of democracy. We propose that IGOs facilitate democracy’s diffusion by transmitting information between member states and by interpreting... View Details
- March 2008
- Article
When Growth Stalls
By: Matthew S. Olson, Derek C. M. van Bever and Seth Verry
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading.
An abrupt and lasting drop in revenue growth is a crisis that can strike even the... View Details
Olson, Matthew S., Derek C. M. van Bever, and Seth Verry. "When Growth Stalls." Harvard Business Review 86, no. 3 (March 2008): 50–61.
- 09 Nov 2010
- Working Paper Summaries
The Unbundling of Advertising Agency Services: An Economic Analysis
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 2022
- Working Paper
Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina
By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its... View Details
Keywords: COVID-19; Drug Treatment; Health Pandemics; Health Care and Treatment; Decision Making; Outcome or Result; Argentina
Calonico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina." NBER Working Paper Series, No. 30084, May 2022.
- March 2012
- Article
Managing Political Risk in Global Business: Beiersdorf 1914-1990
By: Geoffrey Jones and Christina Lubinski
This article is concerned with business strategies of political risk management during the twentieth century. It focuses especially on Beiersdorf, a pharmaceutical and skin care company in Germany. During World War I, the expropriation of its brands and trademarks... View Details
Keywords: Business Strategy; Government and Politics; Risk Management; Brands and Branding; Problems and Challenges; Communication Technology; Cost; Trademarks; Strategy; Pharmaceutical Industry; Germany
Jones, Geoffrey, and Christina Lubinski. "Managing Political Risk in Global Business: Beiersdorf 1914-1990." Enterprise & Society 13, no. 1 (March 2012): 85–119.
- July 2010
- Supplement
Marketing Analysis Toolkit: Pricing and Profitability Analysis (CW)
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability... View Details
- 2010
- Working Paper
Cognitive Barriers to Environmental Action: Problems and Solutions
By: Lisa L. Shu and Max Bazerman
We explore interventions at the individual level and focus on recognized cognitive barriers from behavioral decision-making literature. In particular, we highlight three cognitive barriers that impede sound individual decision making that have particular relevance to... View Details
Keywords: Decision Choices and Conditions; Judgments; Consumer Behavior; Environmental Sustainability; Cognition and Thinking; Prejudice and Bias
Shu, Lisa L., and Max Bazerman. "Cognitive Barriers to Environmental Action: Problems and Solutions." Harvard Business School Working Paper, No. 11-046, November 2010.
- 2012
- Article
A Field Study on the Acceptance and Use of a New Accounting System
By: V.G. Narayanan, Ranjani Krishnan and Jamshed J. Mistry
This study examines the attitudes, use, and acceptance of a new accounting system in a pharmaceutical corporation that switched from an Activity Based Costing System to the Theory of Constraints System (TOC). Using structuration theory as a framework, we posit that... View Details
Narayanan, V.G., Ranjani Krishnan, and Jamshed J. Mistry. "A Field Study on the Acceptance and Use of a New Accounting System." Journal of Management Accounting Research 24 (2012): 103–133.
- 2012
- Working Paper
The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting
We experimentally investigate information aggregation through majority voting when some voters are biased. In such situations, majority voting can have a "dark side", i.e. result in groups making choices inferior to those made by individuals acting alone. We develop a... View Details
Morton, Rebecca B., Marco Piovesan, and Jean-Robert Tyran. "The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting." Harvard Business School Working Paper, No. 13-017, August 2012.
- 2010
- Working Paper
Quality Provision, Expected Firm Altruism and Brand Extensions
By: Julio J. Rotemberg
This paper studies quality choice in a model where consumers expect firms to act altruistically. It is shown that, under plausible assumptions regarding this altruism and the reaction of consumers to firms that demonstrate insufficient altruism, existing firms (or... View Details
Keywords: Brands and Branding; Consumer Behavior; Product Development; Corporate Social Responsibility and Impact; Quality; Mathematical Methods
Rotemberg, Julio J. "Quality Provision, Expected Firm Altruism and Brand Extensions." NBER Working Paper Series, No. 15635, January 2010.
- 2007
- Working Paper
A Resource Belief-Curse: Oil and Individualism
By: Rafael Di Tella, Juan Dubra and Robert MacCulloch
We study the correlation between a belief concerning individualism and a measure of luck in the US during the period 1983-2004. The measure of beliefs is the answer to a question related to whether the poor should be helped by the government or if they should help... View Details
Keywords: Energy; Price; Policy; Government and Politics; Poverty; Welfare; Energy Industry; United States
Di Tella, Rafael, Juan Dubra, and Robert MacCulloch. "A Resource Belief-Curse: Oil and Individualism." Harvard Business School Working Paper, No. 08-035, November 2007.
- November 2004
- Article
Unemployment Benefits As a Substitute for a Conservative Central Banker
By: Rafael Di Tella and Robert MacCulloch
In the many years since their introduction, positive theories of inflation have rarely been tested. This paper documents a negative relationship between inflation and the welfare state (proxied by the parameters of the unemployment benefit program) that is to be... View Details
Di Tella, Rafael, and Robert MacCulloch. "Unemployment Benefits As a Substitute for a Conservative Central Banker." Review of Economics and Statistics 86, no. 4 (November 2004): 911–23.
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- 2016
- Working Paper
Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation
By: Rafael Di Tella, Juan Dubra and Alejandro Lagomarsino
We analyze the role of people’s beliefs about the rich in the determination of public policy in the context of a randomized online survey experiment. A question we study is the desirability of government-private sector meetings, a variable we argue is connected to... View Details
Keywords: Business Legitimacy; State Capacity; Meetings; Taxes; Top 1%; Regulation; Prejudice and Bias; Values and Beliefs; Taxation; Business and Government Relations
Di Tella, Rafael, Juan Dubra, and Alejandro Lagomarsino. "Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation." Harvard Business School Working Paper, No. 17-046, December 2016.