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  • All HBS Web  (4,050)
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← Page 6 of 4,050 Results →
  • 19 Aug 2009
  • Working Paper Summaries

Optimal Taxation in Theory and Practice

Keywords: by N. Gregory Mankiw, Matthew Weinzierl & Danny Yagan
  • February 2008 (Revised August 2011)
  • Case

Olympia Machine Company, Inc.

By: Frank V. Cespedes and Benson P. Shapiro
The management team of an industrial equipment supplier is debating the company's method of compensating salespeople. Different executives have offered different alternatives to the current method of straight salary plus expenses. Each option has different implications... View Details
Keywords: Governance Controls; Compensation and Benefits; Mission and Purpose; Salesforce Management; Motivation and Incentives; Business Strategy; Industrial Products Industry
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Cespedes, Frank V., and Benson P. Shapiro. "Olympia Machine Company, Inc." Harvard Business School Case 708-490, February 2008. (Revised August 2011.)
  • TeachingInterests

Interpretability and Explainability in Machine Learning

By: Himabindu Lakkaraju

As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details

  • 06 Mar 2021
  • News

How to Upgrade Judges with Machine Learning

  • 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
Keywords: Theory Of Constraints; Structuration; Field Study; Accounting; Innovation and Invention
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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.
  • 2024
  • Article

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
Keywords: AI and Machine Learning; Research
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Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
  • 1983
  • Working Paper

A Theory of Bargaining with Monetary Transfers

By: Jerry R. Green
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Green, Jerry R. "A Theory of Bargaining with Monetary Transfers." Harvard Institute of Economic Research Discussion Paper, No. 966, February 1983.
  • 2010
  • Book

Government and Markets: Toward a New Theory of Regulation

By: Edward J. Balleisen and David A. Moss
After two generations of emphasis on governmental inefficiency and the need for deregulation, we now see growing interest in the possibility of constructive governance, alongside public calls for new, smarter regulation. Yet there is a real danger that regulatory... View Details
Keywords: Governing Rules, Regulations, and Reforms; Government and Politics; Markets; Business and Government Relations; Research
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Balleisen, Edward J., and David A. Moss, eds. Government and Markets: Toward a New Theory of Regulation. Cambridge: Cambridge University Press, 2010.
  • October 2022 (Revised December 2022)
  • Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
  • 2002
  • Book

Game Theory in the Tradition of Bob Wilson

By: Bengt Holmstrom, Paul Milgrom and Alvin E Roth
Keywords: Game Theory
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Holmstrom, Bengt, Paul Milgrom, and Alvin E Roth, eds. Game Theory in the Tradition of Bob Wilson. Berkeley, CA: Berkeley Electronic Press, 2002.
  • 2018
  • Working Paper

Algorithm Appreciation: People Prefer Algorithmic to Human Judgment

By: Jennifer M. Logg, Julia A. Minson and Don A. Moore
Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think... View Details
Keywords: Algorithms; Accuracy; Advice Taking; Forecasting; Theory Of Machine; Mathematical Methods; Decision Making; Forecasting and Prediction; Trust
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Logg, Jennifer M., Julia A. Minson, and Don A. Moore. "Algorithm Appreciation: People Prefer Algorithmic to Human Judgment." Harvard Business School Working Paper, No. 17-086, March 2017. (Revised April 2018.)
  • Teaching Interest

DESIGN THEORY AND PRACTICE ES285

By: Roberto Verganti

Any organization, business or venture grounds its value on how “meaningful” are its products (functionally, symbolically and emotionally). Design Theory and Practice (DTP) empowers students to create products that are meaningful, to people who use them and to... View Details

Keywords: Integrated Design; Leadership; User Experience Design; Design; Strategy; Technology; Product Design
  • December 2023
  • Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
Keywords: AI and Machine Learning; Behavior; Learning
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De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
  • October 2003 (Revised December 2020)
  • Case

Globalizing Consumer Durables: Singer Sewing Machine before 1914

By: Geoffrey Jones and David Kiron
Examines the global strategy of Singer, one of the world's first multinationals, before 1914. Singer, a U.S. pioneer of the modern sewing machine, established its first foreign factory in Scotland in 1867. Investments followed in manufacturing and marketing in other... View Details
Keywords: Business History; Multinational Firms and Management; Global Strategy; Entrepreneurship; Investment; Globalization
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Jones, Geoffrey, and David Kiron. "Globalizing Consumer Durables: Singer Sewing Machine before 1914." Harvard Business School Case 804-001, October 2003. (Revised December 2020.)
  • April 2020
  • Article

A Theory of Experimenters: Robustness, Randomization, and Balance

By: Abhijit Banerjee, Sylvain Chassang, Sergio Montero and Erik Snowberg
This paper studies the problem of experiment design by an ambiguity-averse decisionmaker who trades off subjective expected performance against robust performance guarantees. This framework accounts for real-world experimenters’ preference for randomization. It also... View Details
Keywords: Experiment Design; Experimenters; Theory; Performance
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Banerjee, Abhijit, Sylvain Chassang, Sergio Montero, and Erik Snowberg. "A Theory of Experimenters: Robustness, Randomization, and Balance." American Economic Review 110, no. 4 (April 2020): 1206–1230.
  • January 2006
  • Article

The Ongoing Process of Building a Theory of Disruption

By: Clayton M. Christensen
Keywords: Theory; Disruption
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Christensen, Clayton M. "The Ongoing Process of Building a Theory of Disruption." Journal of Product Innovation Management 23 (January 2006): 39–55.
  • January 2005 (Revised March 2007)
  • Background Note

Game Theory and Business Strategy

By: Felix Oberholzer-Gee and Dennis A. Yao
Provides a brief introduction to the application of game theory to business settings. Sets up and analyzes a minicase involving commitment. View Details
Keywords: Game Theory; Trust; Business Strategy
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Oberholzer-Gee, Felix, and Dennis A. Yao. "Game Theory and Business Strategy." Harvard Business School Background Note 705-471, January 2005. (Revised March 2007.)
  • Oct 03 2016
  • Interview

Clayton Christensen: The Theory of Jobs To Be Done

  • 02–03 Dec 2022
  • HBS Alumni Events

D^3 Catalyst: No Code Machine Learning and Artificial Intelligence

Do you want to delve into Machine Learning and Artificial Intelligence, but you feel overwhelmed and intimidated? Do you want to leverage the power of Machine Learning and Artificial Intelligence without writing any code? Do you want to leverage Machine Learning and... View Details
  • Research Summary

Game Theory for Business Strategy

Game theory--the mathematical study of strategic interactions--came of age, in a sense, when three of the field's pioneers were awarded the Nobel Prize in Economics in 1994. Yet despite the development of the theory and the widespread use of game-theoretic jargon in... View Details
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