Knowledge Repository

  • Phanish Puranam, Insead

    Readers (and unfortunately reviewers) are sometimes skeptical about the relevance of lab experiments to understanding “real” organizations. Phanish discusses why this skepticism is often rooted in vague and invalid assumptions, and what we can do about it.

    You can find the

    - slides here

    - questions and ongoing discussions here discussion on deception here and on phenomena that are hard to study in the lab here.

    - the recording here (the password was shared through the EOS Masterclass mailing list).

  • Thorbjørn Knudsen, Frankfurt School

    Using Christensen, Dahl, Knudsen & Warglien (2022) as example, this session provides a method to identify and test endogenous adaptation at the individual level, which alters predictions at the aggregate, organizational level.

    You can find the

    - slides here.

    - questions and notes here.

    - the recording here (the password was shared through the EOS Masterclass mailing list).

  • Ronald Klingebiel, Frankfurt School

    Overlooked and everywhere. We examine to what extent informed priors might drive behavior in extant studies of decisions under uncertainty. Emphasis is on transparency and verifiability of the mechanisms that generate uncertainty.

    You can view the slides and access the example instructions for anchoring priors experientially, with filler tasks, or through practice

  • Özgecan Kocak, Emory

    with Massimo Warglien, Venice

    To study aspects of coordination or communication within organizations, experiments can examine not only individual decisions, but also interactions of dyads or even triads. Is this a step on aggregating individual-level observations to the organizational level? What does studying dyads or triads change for the experimental design but also the analysis of the data? This masterclass will offer a perspective on how experiments can be used to study interactions of more than one individual and which challenges may come with it.

    You can find

    - the slides here.

    - a joint paper by Özgecan & Massimo can be found here.

  • Daniella Laureiro Martinez, ETH Zurich

    A discussion on which types of experiments are most suited to capture managerial cognition, and how to use them.

    You can find

    - a video of the session here (password shared in mailing list) and

    - the slides here, and

    -the google sheet here

  • Gael Le Mens, University Pompeu Fabra

    A discussion about why (and how) experimental designers should aim for simplicity.

    Featured at EOS23

  • Oliver Schilke, University of Arizona

    Identifying mechanisms with multiple experiments

    Oliver shared his slides and a video recording (password shared on mailing list)

  • Cédric Gutierrez, Bocconi University

    Reported and revealed beliefs about verifiable events

    Access Cédric’s slides or the video recording using the password shared on our mailing list

  • Excellence in Organizational Experimentation

    How to prepare for the Frankfurt workshop and engage with the crowdsourcing campaign

    Download the presentation including topic briefs

  • Stefano Dellavigna, UC Berkeley

    When are nudge RCTs adopted in city administration?

    See Stefano’s slides for an overview, or his paper for detail

  • Kariyushi Rao, Warwick Business School

    Design and execution of interactive online experiments

    Access Kariyushi’s slides, and video recording using the password shared on our mailing list

  • Ali Ozkes, SKEMA Business School

    Collaborative reproduction of experimental findings

    Access the accompanying article and video of the session

  • Pantelis Analytis, SDU

    Using online contest data for in silico simulations

  • Abdullah Almaatouq gave a masterclas on integrative experiment design.

    Abdullah introduced a framework called “integrative experiment design” that has the potential to address the lack of cumulativeness among experimental findings in the social and behavioral sciences.

    The recordiong can be found here.