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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 the ethical limits of fieldwork, and shares tips about selecting and immersing oneself in the culture of occupational groups and organizations.

    Michel Anteby is a Professor of Management & Organizations at Boston University’s Questrom School of Business and (by courtesy) Sociology at Boston University’s College of Arts and Sciences. He also co-leads Boston University’s Precarity Lab. Michel’s research looks at how individuals relate to their work, their occupations, and the organizations they belong to. He examines the practices people engage in at work that help them sustain their chosen cultures or identities. In doing so, his research contributes to a better understanding of how these cultures and identities come to be and manifest themselves. Studied populations have included airport security officers, anesthesiologists, clinical anatomists, factory craftsmen, ghostwriters, puppeteers, and subway drivers.

    Further information:
    Anteby, M. (2024). The interloper: Lessons from resistance in the field. Princeton University Press.Anteby, M. (2015). Denials, Obstructions, and Silences: Lessons from Repertoires of Field Resistance (and Embrace). In Handbook of Qualitative Organizational Research (pp. 197-205). Routledge. Bourmault, N., & Anteby, M. (2023). Rebooting one’s professional work: The case of French anesthesiologists using hypnosis. Administrative Science Quarterly, 68(4), 913-955.Anteby, M., & Occhiuto, N. (2020). Stand-in labor and the rising economy of self. Social Forces, 98(3), 1287-1310.Anteby, M. (2010). Markets, morals, and practices of trade: Jurisdictional disputes in the US commerce in cadavers. Administrative Science Quarterly, 55(4), 606-638.

  • 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 insights about how to keep one’s data secure, as well as reflections on the tendency in social sciences to rely on verbal data sources and how focusing on diaries can elicit new ways of approaching existing topics and open up new ones.


    Madeleine Rauch is an Associate Professor of Strategy and International Business at the University of Cambridge, Judge Business School. Her research focuses on the strategies and challenges faced by people working and living in challenging contexts, such as undocumented individuals in the U.S., medical professionals during the recent COVID pandemic, and soldiers in war zones like Afghanistan, Iraq, Yemen, and South Sudan.


    Further information:
    Rauch, M, & Ansari, S. (2022). “Waging war from remote cubicles: How workers cope with technologies that disrupt the meaning and morality of their work.” Organization Science 33 (1), 83-104.
    Rauch, M, & Ansari, S. (2022). “Diaries as a methodological innovation for studying grand challenges.” Research in the Sociology of Organizations. Organizing for societal grand challenges. Emerald Publishing Limited, 205-220.

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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 is packed with insights on gaining access to a phenomenon that happens online in private spaces (including a story on how Angèle became an influencer herself); the promises of designing research on niches or fields in the social media space; and practical reflections on how to make ethnography “the art of the possible.”

    Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department, the Program in Science, Technology, and Society, and the Center for Work, Technology, and Organization at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices.


    Further information:Christin, A., and Y. Lu. Forthcoming. “The Influencer Pay Gap: Platform Labor Meets Racial Capitalism.” New Media & Society. Christin, A. 2020. “The Ethnographer and the Algorithm: Beyond the Black Box.” Theory & Society. 49(5-6): 897-918. Kellogg, K.C, M.A. Valentine, and A. Christin. 2020. “Algorithms at Work: The New Contested Terrain of Control.” Academy of Management Annals 14(1): 366-410. Christin, A. 2020. Metrics at Work: Journalism and the Contested Meaning of Algorithms. Princeton University Press.

  • 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 objects seriously—since they were taken as such by informants in that context. She also shares some tips on organizing the analysis of images, videos, and artifacts and using a broader range of senses to collect data.

    Anissa Pomiès is an Assistant Professor of Marketing in the Lifestyle Research Center at emlyon business school. She completed her PhD at ESCP Europe and Sorbonne University and is trained as a sociologist and an ethnographer. Her research focuses on taste, market creation, and transformation, consumption practices. She typically uses ethnographic methods to study these topics in combination with actor-network theory, practice theory, and similar approaches.

    Further information:Pomiès, A., & Arsel, Z. (2022). Market Work and the Formation of the Omnivorous Consumer Subject. Journal of Consumer Research.Pomiès, A., & Hennion, A. (2021). Researching taste: an interview of Antoine Hennion. Consumption Markets & Culture, 24(1), 118-123.

  • 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 recent book “Dreams of the Overworked” where they explored nine families in California and what it means to live, work, and parent in a world of growing expectations about one’s productivity amplified by smart devices. Christine and Melissa share tips on the relational work in fieldwork, the value of working in teams to gain reflexive distance, and how observing work and organization topics from intimate spaces can bring new insights.

    Christine Beckman is the Price Family Chair in Social Innovation and Professor at the USC Price School of Public Policy. She is the current Editor at Administrative Science Quarterly and Past Division Chair of the Organization and Management Theory division of the Academy of Management. Her work has focused on a range of topics including social innovation and inequality, organizational learning, entrepreneurship and social entrepreneurship; technology and work, and organizational control.

    Melissa Mazmanian is a Chancellors Fellow, Professor and Chair of the Department of Informatics in the School of Information and Computer Sciences, and Professor of Organization and Management in the Paul Merage School of Management (joint) at University of California, Irvine. Her work revolves around the experience of communication
    technologies as used in-practice within organizational and personal contexts, specifically in relation to identity projection and the nature of time in the digital age.

    Further information:
    Beckman, C. M., & Mazmanian, M. (2020). Dreams of the Overworked. In Dreams of the Overworked. Stanford University Press.
    Mazmanian, M., & Beckman, C. M. (2018). “Making” your numbers: Engendering organizational control through a ritual of quantification. Organization Science, 29(3), 357-
    379.
    Mazmanian, M., & Lanette, S. (2017, February). “Okay, One More Episode” An Ethnography of Parenting in the Digital Age. In Proceedings of the 2017 ACM conference on computer supported cooperative work and social computing (pp. 2273-2286).
    Mazmanian, M., Beckman, C. M., & Harmon, E. (2015). Ethnography across the work
    boundary: Benefits and considerations for organizational studies. In Handbook of Qualitative Organizational Research (pp. 294-303). Routledge
    Mazmanian, M., Orlikowski, W. J., & Yates, J. (2013). The autonomy paradox: The implications of mobile email devices for knowledge professionals. Organization science, 24(5), 1337-1357.

  • 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 analytical strategies researchers can take to approach archival datasets. She also shares advice on where to look for archival data, how to start, when to combine archival research with other research methods, and the benefits of being creative in our methodological approach.

    Stine Grodal is Distinguished Professor at Northeastern University D'Amore-McKim School of Business in the department of Entrepreneurship and Innovation. She received her PhD from Stanford University in Management Science and Engineering. Stine examines the emergence of categories in nascent markets and the strategic actions market participants take to create and exploit these emerging social structures.

    Stine’s Profile: https://damore-mckim.northeastern.edu/people/stine-grodal/

    Further information:
    Hsu, G. and Grodal, S. 2021 The double-edged sword of oppositional category positioning: A study of the U.S. e-cigarette category, 2007-2017, Administrative Science Quarterly, 66(1): 86–132
    Grodal, S. 2018. Field expansion and contraction: How communities shape social and symbolic boundaries. Administrative Science Quarterly, 13(4): 783–818.
    Kahl, S. and Grodal, S. 2016. Discursive strategies and radical technological change: Multilevel discourse analysis of the early computer (1947-1958), Strategic Management Journal, 37(1): 149-166.
    Langley, A. 1999. Strategies for Theorizing from Process Data. The Academy of Management Review, 24(4): 691.

  • 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 organizational concepts and the challenges of interpretation and dealing with large amounts of data during analysis.

    Renate Meyer is Professor of Organization Studies and Head of the Institute for Organization Studies at WU Vienna. She works in the areas of institutional theory, with a particular interest in meaning structures and multimodal accomplishments, and organizational forms. She also has an empirical interest in public sector management and urban governance.

    Renate’s profile:
    https://www.wu.ac.at/en/urban/team/heads-of-research-institute/rmeyer

    Further Information:

    Boxenbaum, E., Jones, C., Meyer, R. E., & Svejenova, S. (2018). Towards an Articulation of the Material and Visual Turn in Organization Studies. Organization Studies, 39(5–6), 597–616.

    Höllerer, M. A., Leeuwen, T. van, Jancsary, D., Meyer, R. E., Andersen, T. H., & Vaara, E. (2019). Visual and Multimodal Research in Organization and Management Studies. Routledge.

    Meyer, R. E., Höllerer, M. A., Jancsary, D., & van Leeuwen, T. (2013). The Visual Dimension in Organizing, Organization, and Organization Research: Core Ideas, Current Developments, and Promising Avenues. Academy of Management Annals, 7(1), 489–555.

    Jancsary, D., Meyer, R. E., Höllerer, M. A., & Boxenbaum, E. (2017). Institutions As Multimodal Accomplishments: Towards the Analysis of Visual Registers. In M. A. Höllerer, T. Daudigeos, & D. Jancsary (Eds.), Multimodality, Meaning, and Institutions (Vol. 54A, pp. 87–117). Emerald Publishing Limited.

    Meyer, R. E., Jancsary, D., Höllerer, M. A., & Boxenbaum, E. (2018). The Role of Verbal and Visual Text in the Process of Institutionalization. Academy of Management Review, 43(3), 392–418.

  • 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 technology.

    Diane Bailey is Geri Gay Professor of Communication at the College of Agriculture and Life Sciences of Cornell University. She earned her Ph.D. in Industrial Engineering and Operations Research at the University of California, Berkeley. Diane’s research focuses on how people use information technology in their everyday work and what happens when they do.


    Diane’s Profile
    https://www.dianebailey.me/

    Further Information

    Bailey, Diane E. and Barley, Stephen R. (2020). Beyond design and use: How scholars should study intelligent technologies. Information and Organization.

    Bailey, Diane E., Leonardi, Paul M. and Barley, Stephen R. 2012. The lure of the virtual. Organization Science, 23(5): 1485-1504.

    Bailey, Diane E., Leonardi, Paul M., and Chong, Jan. 2010. Minding the gaps: Understanding technology interdependence and coordination in knowledge work. Organization Science, 21(3): 713-730.

  • 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 in managing collective ethnographic projects and his forecast of future themes in the study of work, technology, and organizations.

    Steve Barley is the Christian A. Felipe Professor in the College of Engineering at UC Santa Barbara. Steve earned his Ph.D. from the Sloan School of Management at MIT, where he collected data for his work on funeral directors and the introduction of CT scanners. He began his career at the ILR school at Cornell, where he engaged in several collective projects that went beyond producing new knowledge for our field and offered new models for doing that. He left Cornell for Stanford’s Department of Management Science and Engineering, where he is Professor Emeritus.

    Steve's Profile:
    https://tmp.ucsb.edu/people/stephen-barley

    Further Information:

    Barley, S. R. (1996). Technicians in the workplace: Ethnographic evidence for bringing work into organizational studies. Administrative Science Quarterly, 404-441.

    Barley, S. R., & Kunda, G. (2001). Bringing work back in. Organization Science, 12(1), 76-95.

    Barley, S. R., Bechky, B. A., & Nelsen, B. J. (2016). What do technicians mean when they talk about professionalism? An ethnography of speaking. In The structuring of work in organizations. Emerald Group Publishing Limited.

    Bailey, D. E., & Barley, S. R. (2020). Beyond design and use: How scholars should study intelligent technologies. Information and Organization, 30(2), 100286.

  • 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 such an approach for management research, some tricks to collect and analyze data across multiple cases, and some general challenges of becoming an inductive researcher.

    Our guest, Pinar Ozcan is Professor of Entrepreneurship and Innovation at Saïd Business School, University of Oxford and specializes in entrepreneurship and strategy in technology markets. Her current research includes the open banking project—where she is examining the industry disruption in banking through regulation and market entry of fintech companies—and the development of the sharing economy. She has also studied similar dynamics related to market formation and entry in the context of the gaming industry, mobile payments, and paid TV.

  • 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 shared some great insights from her experience studying the Linux and Anonymous communities, such as how to navigate large volumes of online information, the role of research questions to arrive at robust findings, and the hidden benefits of doing fieldwork online.

  • 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 of team practice in the DNArt project. In the episode, we talked about the work involved in making algorithms work, the strengths and limits of studying how organizations and people work with and around new technologies, and the challenges of sampling and gaining access to such phenomena in light of the growing interest around machine learning and AI.

  • 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 designing these platforms. During our chat, Gretta reflected on some tactics to study work which today is increasingly happening online and geographically distributed, and the importance of in-depth qualitative research on digital technologies and AI in and around organizations to offer more nuanced views on the changing nature of work in the digital gig economy.

  • 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 neighborhoods with disproportionally high rates of unemployment, poverty and social exclusion. In the episode, Nevena reflected on this recent study, its practicalities, and her effort to tell the stories of informants without re-enforcing stereotypes while also respecting their particularities.

  • 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 quantitative datasets and experiments. Although mixing different methods is a promising strategy enabling the researcher to interrogate the phenomena of interest from multiple angles, it is also somewhat challenging and still relatively rare. In our conversation, Aruna reflected about her use of the full-cycle approach, its main strengths and weakness, and shared tips on how to cross the qualitative/quantitative divide in empirical research.

  • 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 observation. The goal is to understand and describe social processes from the perspective of the people studied by being immersed in their reality. While traditionally associated with a single researcher, many benefits may come from a team approach. In our conversation, Susan elaborates on the benefits of a team approach to ethnography, the reasons which lead her to adopt it in a multi-year study of the implementation of safety regulations in scientific labs, and the lessons she learned from this experience.

  • 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 supports. The approach attempts to bridge qualitative and quantitative traditions by combining the complexity of qualitative data with the analytical precision of quantitative techniques to analyze cross-case patterns. It is particularly suitable to address “If … then” hypotheses and takes into account complex causal structures based on Boolean algebra. In our conversation, Santi tells us about the origins of this approach, how he uses it in his research on organizational configurations and business models, and his general insights on its benefits and challenges.