On The Ethnography Atelier podcast we talk with researchers about their experiences doing qualitative research. Our goal is to share their personal reflections on their craft with our community, particularly early career researchers and those who might not otherwise have access to these conversations. This podcast series is hosted by Ruthanne Huising, Samantha Ortiz, and Marselia Tan. For more information about our other initiatives, please visit our website at www.ethnographyatelier.org
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Bonus Episode - Pedro Monteiro's Retirement Party
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In this short episode, our team thew a virtual retirement party for Pedro Monteiro! Listen in as Pedro reflects on his podcasting and academic journey. Ethnography Atelier podcasts will continue and stay tuned for our upcoming episodes. Thank you Pedro! 🎉 Pedro Monteiro is an Assistant Professor at Copenhagen Business School and Visiting Fellow at…
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Episode 18 - Anna Kim: Fieldwork with Respect
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In this episode with Anna Kim, we discuss some principles around doing fieldwork with respect, especially in settings and populations with low economic resources. Our conversation focuses on how we approach such places and people in ways that declutter our cultural assumptions and appreciate them in their own terms, or closer to that, thus potentia…
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Episode 17 - Michel Anteby: Access as Data
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In this episode, we talk with Michel Anteby about access. In particular, the resistance that field workers may face and how such a process may, in reality, offer invaluable insights into the social world being studied. In our conversation, Michel elaborates on the challenges and promises of research settings that may be hard to access, reflects on …
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Episode 16 - Madeleine Rauch: Diary Methods
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In this episode, we talk with Madeleine Rauch about diary methods, especially unsolicited diaries for research in organization and management. Madeleine tells us about her experience with such an approach, how diaries can be combined with other sources of data, and the questions that they help us answer. Our conversation also features practical ins…
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Episode 15 - Angèle Christin: Researching Influencers and Social Media Platforms
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In this episode, we talk with Angèle Christin about the challenges and opportunities of studying influencers and social media platforms. The context for this conversation is her latest research, a digital ethnography for a new book on the algorithmic labor of influencers and influencer marketing on YouTube, Instagram, and TikTok. The conversation i…
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Episode 14 - Anissa Pomiès: Researching Materiality
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This time we welcome Anissa Pomiès to the Atelier and talk with her about methodological opportunities and challenges of studying materiality, the things that are pervasive in life but have been for long-time eluding researchers. In this conversation, Anissa reflects on her research on taste and coffee making, where she found it was central to take…
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Episode 13 - Melissa Mazmanian and Christine Beckman: Research in Intimate Spaces
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In this episode with Prof. Christine Beckman and Prof. Melissa Mazmanian, we talk about the promises and challenges involved in conducting research in intimate spaces, such as in people’s homes, instead of the workplace, where most organization and management research usually takes place. Christine and Melissa reflect on the research for their rece…
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Episode 12 - Stine Grodal: Archival Methods
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In this episode with Professor Stine Grodal, we explored the promises and challenges of archival research. We discussed Stine’s use of archival methods in contexts such as nanotechnologies or the tobacco or hearing aid industry. Stine reflects on the kinds of research questions best addressed with archival data and provides specific sampling and an…
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Episode 11 - Renate Meyer: Visual data and methods
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This episode features a conversation with Professor Renate Meyer in which she reflects on the value of visual data for gaining unique research insights and the theoretical basis of such an approach. We talked about the tools and methods she and her colleagues have used to investigate a range of topics in the diffusion and institutionalization of or…
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Episode 10 - Diane Bailey: Work and interdependence in technical settings
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This episode features a conversation of members and friends of the atelier together with Professor Diane Bailey. We discuss her ethnographic research on work and interdependence in technical settings. In our conversation, Diane reflects on the challenges of observing and documenting technical work and suggests strategies for studying new forms of t…
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Episode 9 - Steve Barley: Ethnography of technical work and occupations
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This episode features a conversation of members and friends of the atelier with Professor Steve Barley about doing ethnographies of work and occupations. In particular, we discussed his research about technicians and long-term interest in grounding organization research in the study of work and technology. In the chat, Steve shares his experience i…
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Episode 8 - Pinar Ozcan: Comparative Case Method
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This episode explores the comparative case method—as developed by Professor Kathleen Eisenhardt—with Professor Pinar Ozcan. This research strategy involves using one or more cases to create theoretical constructs, propositions and/or midrange theory from case-based, empirical evidence. In the conversation, we touched on the strengths and perils of …
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Episode 7 - Siobhan O'Mahony: Digital Ethnography
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In this episode, we talk with Professor Siobhan O’Mahony about digital ethnography. Siobhan’s work explores how technical and creative communities organize for innovation. She has examined high technology contractors, open source programmers, artists, music producers, internet startups, and product development teams. In this conversation, she share…
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Episode 6 - Sarah Sachs: Studying Algorithms Ethnographically
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In this conversation with Dr Sarah Sachs, we explored the challenges involved in studying algorithms at work. Sarah’s research examines how data analytic technologies are reconfiguring work and organizations. Her dissertation “The Algorithm at Work: The Reconfiguration of Work and Expertise in the Making of Similarity in Art Data” is an ethnography…
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Episode 5 - Gretta Corporaal: Studying Online and Offline Work
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In this episode, we sat with Dr Gretta Corporaal from the Oxford Internet Institute to talk about the challenges of studying work ethnographically. Gretta has researched cross-boundary collaboration and, more recently, how some of the world’s largest corporations adopt online platforms to hire and manage specialists and the work involved in designi…
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Episode 4 - Nevena Radoynovska: Vulnerable Populations
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This fourth episode of the podcast examines the challenges of researching vulnerable populations. We are joined in this conversation by our colleague Dr Nevena Radoynovska (emlyon business school) who has conducted research on social entrepreneurship based on fieldwork in the French quartiers prioritaires — government-designated disadvantaged neigh…
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Episode 3 – Aruna Ranganathan: Full-Cycle Approach
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In the third episode of the podcast, we talk with Professor Aruna Ranganathan (Stanford Graduate School of Business) about her experience using a full-cycle approach to mixed methods. This approach starts with the observation of naturally-occurring phenomena supported by inductive techniques and then moves to theory-testing with the use of quantita…
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Episode 2 - Susan Silbey: Team Ethnography
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We are joined by Professor Susan Silbey from M.I.T in our second episode which explores a team approach to ethnography. Ethnography is a qualitative approach originated in anthropology that is widely used today in many academic areas and also applied research. It is heavily grounded in the study of naturally occurring phenomena, usually via observa…
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Episode 1 - Santi Furnari: Qualitative Comparative Analysis (QCA)
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In this first episode of the podcast, we talk with Associate Professor Santi Furnari from Cass Business School about his experience using fuzzy-set/ Qualitative Comparative Analysis (fs/QCA). Qualitative Comparative Analysis was originally developed by Charles Ragin and represents a technique to determine which logical conclusions a dataset support…
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