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Publications

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  • All HBS Web  (436)
    • News  (57)
    • Research  (311)
    • Events  (5)
  • Faculty Publications  (133)

Show Results For

  • All HBS Web  (436)
    • News  (57)
    • Research  (311)
    • Events  (5)
  • Faculty Publications  (133)
Page 1 of 436 Results →
  • June 2001
  • Article

Form and Function in Experimental Design

By: A. E. Roth
Keywords: Design
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Roth, A. E. "Form and Function in Experimental Design." Behavioral and Brain Sciences 24, no. 3 (June 2001).
  • 2023
  • Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
  • June 1998
  • Article

Managing Experimentation in the Design of New Products

By: S. Thomke
Keywords: Design; Product; Management
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Thomke, S. "Managing Experimentation in the Design of New Products." Management Science 44, no. 6 (June 1998): 743–762.
  • April 2020
  • Article

Designs for Estimating the Treatment Effect in Networks with Interference

By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
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Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
  • 2020
  • Working Paper

The Effects of Hierarchy on Learning and Performance in Business Experimentation

By: Sourobh Ghosh, Stefan Thomke and Hazjier Pourkhalkhali
Do senior managers help or hurt business experiments? Despite the widespread adoption of business experiments to guide strategic decision-making, we lack a scholarly understanding of what role senior managers play in firm experimentation. Using proprietary data of live... View Details
Keywords: Experimentation; Innovation; Search; New Product Development; Innovation and Invention; Organizational Design; Learning; Performance
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Ghosh, Sourobh, Stefan Thomke, and Hazjier Pourkhalkhali. "The Effects of Hierarchy on Learning and Performance in Business Experimentation." Harvard Business School Working Paper, No. 20-081, February 2020.
  • 04 Dec 2019
  • Book

Creating the Experimentation Organization

subtle tweaks to everything from varying shades of color to alternative placement of links and menu options for booking properties. It’s part of an innovative culture of experimentation that pervades every aspect of how the company... View Details
Keywords: by Michael Blanding
  • 1995
  • Dissertation

The Economics of Experimentation in the Design of New Products and Processes

By: Stefan Thomke
Keywords: Economics; Research and Development; Operations; Product Launch
Citation
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Thomke, Stefan. "The Economics of Experimentation in the Design of New Products and Processes." Diss., Massachusetts Institute of Technology (MIT), 1995.
  • 2022
  • Working Paper

Can a Website Bring Unemployment Down? Experimental Evidence from France

By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was... View Details
Keywords: Online Platform; Digital Platform; Unemployment; Encouragement Design; Job Search; Jobs and Positions; Internet and the Web; Well-being; Outcome or Result; Digital Platforms; France
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Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
  • July 2002
  • Article

The Economist As Engineer: Game Theory, Experimental Economics and Computation As Tools of Design Economics

By: Alvin E Roth
Keywords: Game Theory; Economics; Mathematical Methods; Design
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Roth, Alvin E. "The Economist As Engineer: Game Theory, Experimental Economics and Computation As Tools of Design Economics." Econometrica 70, no. 4 (July 2002): 1341–1378.
  • 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.
  • September 2020 (Revised June 2023)
  • Exercise

Artea: Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
  • 2001
  • Chapter

The Impact of Technology on Knowledge Creation: A Study of Experimentation in Integrated Circuit Design

By: Stefan Thomke
Citation
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Thomke, Stefan. "The Impact of Technology on Knowledge Creation: A Study of Experimentation in Integrated Circuit Design." In Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation, edited by Ikujiro Nonaka and Toshihiro Nishiguchi, 76–92. New York: Oxford University Press, 2001.
  • Research Summary

Motivation and Incentive Design

Professor Ashraf's research in motivation and incentives focuses on how to design incentives in sectors where it is important that individuals are motivated by service, such as healthcare or environmental conservation. An important lever is the... View Details

  • 05 Dec 2011
  • Research & Ideas

It’s Alive! Business Scholars Turn to Experimental Research

you may not be able to learn anywhere else," says Alvin E. Roth, a professor in the Negotiation, Organizations & Markets (NOM) Unit at HBS and a longtime champion of experimental economics. For example, to track how viewers watch... View Details
Keywords: by Carmen Nobel
  • May 2003
  • Module Note

Product Development Process Design and Improvement

By: Stefan H. Thomke
Describes the conceptual foundations and pedagogy for a module on the design and improvement of processes for the development of products and services. Can also be used as part of a more general course on Managing Technology and Innovation. Central to Managing Product... View Details
Keywords: Product Development; Design; Performance Improvement; Innovation and Management; Information Technology; Customers; Information Management; Business Processes; Learning; Transformation; Service Operations
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Thomke, Stefan H. "Product Development Process Design and Improvement." Harvard Business School Module Note 603-090, May 2003.
  • October 2018
  • Case

Booking.com

By: Stefan Thomke and Daniela Beyersdorfer
The case reveals how Booking.com has become the world's leading travel accommodation platform. The company has put online experimentation at the heart of how it designs digital experiences for its customers and partners. To unlock the potential of large-scale testing,... View Details
Keywords: Travel; Product Innovation; Experimentation; A/B Testing; User Experience Design; Product Development; Product Design; Innovation and Management; Transformation; Information Technology; Digital Transformation; Travel Industry
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Thomke, Stefan, and Daniela Beyersdorfer. "Booking.com." Harvard Business School Case 619-015, October 2018.
  • 2020
  • Working Paper

Design and Analysis of Switchback Experiments

By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.
  • July 2023
  • Article

Design and Analysis of Switchback Experiments

By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.

    Design and Analysis of Switchback Experiments

    Switchback experiments, where a firm sequentially exposes an experimental unit to random treatments, are among the most prevalent designs used in the technology sector, with applications ranging from ride-hailing platforms to online marketplaces. Although... View Details
    • 20 Feb 2020
    • News

    Productive Innovation: Building a Culture of Experimentation

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