Communication, Digital Technology, and Organization CTO

AoM 2025: PDW on "Analyzing and Theorizing Raw Qualitative Data as a Collective" *Application process, deadlines and timetable announced*

  • 1.  AoM 2025: PDW on "Analyzing and Theorizing Raw Qualitative Data as a Collective" *Application process, deadlines and timetable announced*

    Posted 15 days ago

    Dear friends and colleagues,

    We're excited to share an update about our PDW titled "Analyzing and Theorizing Raw Qualitative Data as a Collective", which has been accepted for the upcoming AoM Annual Meeting in Copenhagen! 

    This PDW offers a collaborative, hands-on environment for exploring the messy, intriguing early stages of qualitative data analysis. Drawing on experiences from The CCO Data Collective and previous workshops at EGOS, we invite participants to join us in making sense of raw data together-from puzzling observations to emerging theoretical contributions.

    The workshop will be open to two types of participants. You can join as a presenter, sharing a piece of raw qualitative data-such as transcripts, video clips, or other materials-for collective analysis during the session. Or you join as a discussant, bringing your own interpretive and theoretical perspectives to the data shared by others. Whether you're working with strategy-as-practice, CCO, performativity, affect theory, or other interpretive approaches, this workshop provides a rare opportunity to discuss data-in-the-making and foster collective insight.

    Date/Time/Venue:

    Saturday, Jul 26 2025

    8:30AM - 12:30PM CEST (GMT+2/UTC+2)
    Bella Center in MR176/177

    Application/Registration/Selection process:
    We invite applications from scholars with an interest in how to analyze raw qualitative data from a variety of interpretative perspectives that encompass practice and processual approaches to strategy but also include communication-constitutes-organization (CCO), performative theory, and affect theory.

    There are two ways of participating: (a) with sharing own data (i.e., presenters) or (b) without sharing own data and discussing others' data (i.e., discussants).

    1) Prospective presenters will submit via e-mail to the convenors (e.nathues@utwente.nl) by June 25th a single document (.doc, .docx or .pdf file) that includes the following information: 1) Name, affiliation, contact details, and career stage; 2) A short introduction to the empirical data (including what intrigues or puzzles them about the data); 3) An extract/description of or a link to the raw data (if the data is not anonymized or publicly available, the prospective presenter will be asked to ensure that they have acquired the needed consent).
    We welcome various data types, including (but not limited to) the following: textual (e.g., archives, emails, reports, blogs, social media, etc.); audio (e.g., audio recordings + transcriptions of interviews, conversations, etc.), visual (e.g., video recordings + transcriptions of meetings, interventions, videos, images, drawings, etc.). Transcripts must be translated to English. Following the application, the convenors will work with the selected presenters to prepare the data (e.g. ensuring it fits within the allotted time slot).

    2) Discussants will indicate their motivation to participate via a Google Form (https://forms.gle/3rWVVyyzzifTMcgk9) by mid-July (13 July) that includes the following: 1) Name, affiliation, contact details, and career stage; 2) A short text about their interest in attending the workshop and what sort of data and perspectives they typically or presently work with; 3) Questions, puzzles or concerns etc. they would like to collectively explore regarding the analysis process."

    If you have any questions, please feel free to reach out to any of the organizers:

    Ellen Nathues (University of Twente; e.nathues@utwente.nl)
    Stina Rydell Brøgger (University of Twente; stina.brøgger@utwente.nl)
    Monica Nadegger (LMU Munich & MCI; monica.nadegger@lmu.de)
    David Hollis (University of Sheffield; d.hollis@sheffield.ac.uk)

    We hope to see many of you there!



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    David Hollis
    Lecturer (Assistant Professor) in Organisation Studies
    Sheffield University Management School
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