high risk, high reward? kunda’s reflections on ethnography and organizational studies
While catching up on some reading during spring break, I ran across an Journal of Organizational Ethnography article by organizational ethnographer Gideon Kunda. In this article, Kunda’s reflections about his development as an organizational ethnographer seem pertinent to the on-going orgtheory discussion of ethnography. Kunda not only describes how he became drawn to organizational studies (hint: questioning a figure of authority about the differential treatment of patients based on class), but also how he arrived at his topic and research site, generating the now iconic study Engineering Culture.
During his training, Kunda worked on several projects using other data collection methods (i.e., surveys), during which Goffman’s work on Asylums was instructive:
Here once again was a science that starts with ready-made theories, selectively uses them in accordance with interests unrelated to (or even opposed to) the logic and spirit of scientific inquiry, collects data using a method that assumes it knows what and how to ask before encountering the world of its subjects, and disrespects or ignores their complex realities, or for that matter, their feelings about who is studying them and why. What factors effect quality is a legitimate question, if one takes the managerial perspective (although this is not the only perspective that could and should be taken). But in order to answer it, in fact in order to even know how to go about studying it, I began to realize, one has to find ways to collect valid data. And the data, if that was what the facts of life should be called, were found in the richness of the stories I heard and the complexity of the interactions I observed, in people’s sense of who they were and what they were up to, and in their willingness to convey it to an interested outsider. Whether or not all this could or should be ultimately reduced to numbers and statistically analyzed seemed much less important than finding ways to collect, understand and interpret evidence that was respectful of its complex nature. If this was the case, it seemed to me, then the scientific system I was enmeshed in, even by its own standards – the norms of science that demand respect for the empirical world – was woefully inadequate. And worse – its procedures and output were embarrassingly boring, to me at least, when compared to the richness of the world it set out to comprehend.
In conclusion, Kunda states:
Over the years I have continuously noted and wondered about the extent researchers in the early stages of their careers, and graduate students in particular, feel, or are made to feel, that while they are granted the methodological license, and sometimes looseness, of “qualitative methods” (a phrase that often replaces or refers to a watered down version of ethnography), the academic authority system (in terms of funding, supervision, publication requirements and career options) compels them to limit their questions, choice of theory and writing style to those that enhance the chances of approval, funding and quick publication. I encounter again and again the ways that this commitment comes at the expense of a willingness to let fly their own sociological imagination, to cultivate and trust their own interpretive resources and analytic instincts, to respect and develop their innate language and authorial voice, or, for that matter, to risk long-term ethnographic fieldwork.
The issue then is not, or not only, one of competing methods, and to overstate such distinctions is, I believe, to miss my point. Rather, I see my story as an invitation to acknowledge and explore the shared conditions of all scientific claims to knowing and depicting social reality, organizational and otherwise, under whatever theoretical and methodological guise, that together place limits on the depth, insightfulness and indeed the validity of interpretation: the endless complexity of data, the incurable subjectivity of the observer, the fundamental flimsiness of formal method and the prevalence of unsubtle yet often disguised institutional pressures to confirm to standards and ways of thinking outside and often against the pure logic of scientific inquiry.
If I am to formulate a conclusion, then, it is this: the continuing need to devise personal and collective ways – and I have suggested and illustrated some of mine – to release “discipline” from its misguided equation with an institutionally enforced a priori commitment to hegemonic theoretical discourse and methodological frameworks, and to apply it instead to its legitimate targets, the questions for which there can never be a final, authoritative answer, only continuing exploration and debate: What is data, what is a valid and worthwhile interpretation, how does it come about, what are and how to cultivate the personal sources of imagination that make it possible, how to report it and, not least, to what end.
Another major take-away for budding researchers is that peers can offer support. That is, scholarly development is not necessarily a hierarchical transmission of information from mentors to mentees, but the co-production of knowledge with peers.