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Professor
Julie Kendall,
Professor of management at the Rutgers School of Business. Professor
Kendall’s research in information systems has been published
in several top tier journals including MIS Quarterly, Decision
Sciences, Organization Studies, European Journal of Information
Systems, CAIS, Information & Management, Data Base. |
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Associate
Professor Steve Sawyer,
School of Information Studies, Syracuse University. Professor
Sawyer’s research in information systems has been published
in several top tier journals including Information Systems
Journal, Communications of the ACM, IT & People, Journal of
IT, European Journal of Information Systems, IBM Systems Journal,
and The Information Society. |
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Abstract
Meaning, Metaphors, and Methods: How Qualitative Researchers
Migrate, Mutate, and Mature
Researchers
who use qualitative methods change over time. You are not the
same person you were when you first did an interview, wrote a
case study, or provided insights to people in a company about
what was happening. You have undergone many changes and the world
has changed around you. You have received reactions to your work;
perhaps many rejections and perhaps some acceptances. You might
say you have grown or even evolved, but on the other hand you
might say you’ve mutated, migrated, or matured. In this
keynote address I reflect on the past quarter century of my qualitative
work in information systems and its relationship to the journeys
commenced by others in the qualitative research community. I will
explore how we’ve arrived at this point and what we may
face in the future.
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Abstract
Qualitatively Bigger: Doing Larger-Scale Science
Discussions
about doing qualitative research are shifting from viability to
value. Within information systems, qualitative research is seen
as one of several viable approaches to conducting research. The
best scholarship in this intellectual community extends from findings,
concepts and insights drawn from studies that employ a variety
of methods. The questions now focus on what does the research
provide, not what approach was taken. With this focus towards
value, scholars pursuing qualitative approaches to data collection
and intensive research methods should be both very aware, and
very wary, of the increasing push towards big science. By big
science I mean the inter-dependent combination of larger-scale
problems, larger-scale research teams, larger-scale data sets,
and a concomitant emphasis on developing the funding, tools and
infrastructure to support these efforts.
Building from this sketch, I focus on two questions: What does
big mean for qualitative research? How does one do larger-scale
– big— qualitative research? In response, I emphasize
four trajectories of effort to both respond to and advance qualitative
inquiry in an era of big science longings. First, I emphasize
the importance of linking micro-studies with larger, macro-level,
interests. Second, I advance the concept of connected studies.
Third, I discuss the importance of research programs. Fourth,
I propose sharing data and speculate on what it means to build
big sets of qualitative data.
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