Analyzing and Theorizing Raw Qualitative Data as a Collective (PDW)
Type
conference contribution
Date Issued
2024-07-03
Author(s)
Abstract
This PDW is held as part of the EGOS Standing Working Group (SWG) 06 on “Communication, Performativity, and Organization”. Of course, participation is also open to scholars not (yet) involved with this SWG; we envision the proposed event as a welcoming and stimulating space for all interested EGOSians. Specifically, this PDW focuses on analyzing and theorizing raw qualitative data from a variety of interpretive perspectives that encompass, but are not limited to, communication-constitutes-organization (CCO) (e.g., Ashcraft et al., 2009; Cooren et al., 2011; Schoeneborn et al., 2019), performative theory (e.g., Cabantous et al., 2018; Gond et al., 2016), and affect theory (e.g., Gherardi, 2017; Reckwitz, 2017). The workshop offers a space for interested scholars to share and discuss their raw empirical material as a collective.
Much of what we do, as interpretive researchers when making sense of our data, continues to remain in a figurative black box, especially those first moments of exploring the material for intriguing hooks, surprising puzzles, potential theoretical connections, and so on. Common questions abound, particularly so for early career researchers, such as: Is what I am seeing in the data interesting and relevant? Do others share my observations and interpretations? What other angles could be useful for my work, and which theoretical notions could I maybe contribute to?
In our experience, such and similar questions are best answered when coming together as a collective. That is precisely why, with this PDW, we seek to create a space where scholars can jointly discuss data and generate ideas. We have in mind an event that facilitates knowledge exchange and learning and that fosters new connections and collaborations; a hands-on workshop where a select number of presenters share their data to analyze it with the other participants in the room. In doing so, participants will be able to discuss raw data around the same time as discussing more ‘polished’ data at the main Colloquium. This will provide currently-lacking insight into the data journey many of us individually encounter, but too infrequently explore together as a collective. We successfully convened a PDW following the same format at EGOS in 2023, but please see the next section for more details on the PDW and the back of our idea.
Much of what we do, as interpretive researchers when making sense of our data, continues to remain in a figurative black box, especially those first moments of exploring the material for intriguing hooks, surprising puzzles, potential theoretical connections, and so on. Common questions abound, particularly so for early career researchers, such as: Is what I am seeing in the data interesting and relevant? Do others share my observations and interpretations? What other angles could be useful for my work, and which theoretical notions could I maybe contribute to?
In our experience, such and similar questions are best answered when coming together as a collective. That is precisely why, with this PDW, we seek to create a space where scholars can jointly discuss data and generate ideas. We have in mind an event that facilitates knowledge exchange and learning and that fosters new connections and collaborations; a hands-on workshop where a select number of presenters share their data to analyze it with the other participants in the room. In doing so, participants will be able to discuss raw data around the same time as discussing more ‘polished’ data at the main Colloquium. This will provide currently-lacking insight into the data journey many of us individually encounter, but too infrequently explore together as a collective. We successfully convened a PDW following the same format at EGOS in 2023, but please see the next section for more details on the PDW and the back of our idea.
Keywords
collective data analysis
qualitative research
collaborative research
Publisher
European Group for Organization Studies
Publisher place
Milan
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EGOS - PDW04 Analyzing and Theorizing Raw Qualitative Data as a Collective.pdf
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