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EGOS 2018 CfP: Multimodal methods (convened by Cornelissen, LeBaron, & Wenzel)

  • 1.  EGOS 2018 CfP: Multimodal methods (convened by Cornelissen, LeBaron, & Wenzel)

    Posted 12-21-2017 01:30

    EGOS 2018 SUB-THEME 43: MULTIMODAL METHODS IN ORGANIZATION RESEARCH

    Convenors:

    Joep Cornelissen Rotterdam School of Management

    Curtis LeBaron - Brigham Young University

    Matthias Wenzel - European University Viadrina

    Deadline: January 8, 2018

    The aim of this sub-theme is to provide a forum for engaging discussions that continue and advance debates on the use of multimodal methods (photo and video technology, eye-tracking, wearable sensors, etc.) in organization research. Therefore, we invite papers that present surprising results based on multimodal data and unpack the complex practice of using multimodal methods in organization research. We welcome both conceptual and empirical papers that extend our understanding of the spectrum of possibilities that multimodal methods offer, reflect on the limits of collecting and analyzing multimodal data, and elaborate on ways in which organization scholars can constructively cope with these limits. Some of the questions that submissions could address are:

       What kinds of surprising and previously unnoticed phenomena do multimodal methods render accessible? How do multimodal methods help scholars understand known organizational phenomena in new ways?

       Which aspects of organizing do multimodal methods not render accessible? How can scholars reduce such blind spots?

       What are the specific benefits and drawbacks of different types of multimodal data? Are there interesting but underutilized types of multimodal data?

       How can/should organization scholars gain access to and use multimodal data in light of ethical, technical, and other issues and concerns?

       How do specific recording procedures and choices enable and constrain research outcomes that are based on multimodal data?

       How do established ways of analyzing (qualitative and quantitative) data help scholars make sense of multimodal data, and what are their constraints when applied to multimodal data?

       How can scholars analyze multimodal data in new, more innovative ways?

       How can scholars present the outcomes of their analyses in journal formats without losing (too much of) the richness of their multimodal data?

    For more information, see: https://www.egosnet.org/jart/prj3/egos/main.jart?rel=de&reserve-mode=active&content-id=1499635422149&subtheme_id=1474852913783