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Qualitative and Critical Research in Information Systems and Human-Computer Interaction - Divergent and Convergent Paths (Paperback)
Loot Price: R2,242
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Qualitative and Critical Research in Information Systems and Human-Computer Interaction - Divergent and Convergent Paths (Paperback)
Series: Foundations and Trends (R) in Information Systems
Expected to ship within 10 - 15 working days
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Qualitative and Critical Research in Information Systems and Human
Computer Interaction explores the history and adoption of
qualitative and critical research in Information Systems (IS) and
contrasts it with the growth of similar methods/theories in Human
Computer Interaction (HCI) and, to a lesser, extent Computer
Supported Collaborative Work (CSCW). The supposition behind the
comparison was that the areas overlap in subject matter and would
overlap in methods and authors. However, marked differences were
observed in the structure of publications, conferences, and on
social media that led to questions about the extent to which the
fields shared a common framework. The authors find that the history
of each discipline reflects institutional factors that affected the
respective timelines for the use of these approaches. This leads
them to consider a sociological epistemic framework, which explains
the differences quite well. It also supports characterizations of
the culture of IS made by members, as having open paradigm and high
collegiality, described as an adhocracy. The authors propose that
qualitative and critical research developed interdependently in IS.
Aside from institutional factors, a further difference in uptake of
methods and critical framework comes from the US/Europe divide in
research traditions and the political/epistemic climates affecting
research in the respective regions. Research from beyond the
transatlantic traditions postdates the developments covered here
but is touched on at the end of the monograph. The primary goal of
Qualitative and Critical Research in Information Systems and Human
Computer Interaction is to better understand the ways the IS
research community differentiates itself into diverse
constituencies, and how these constituencies interact in the
field's complex processes of knowledge creation and dissemination.
Another goal is to create cross-disciplinary discussion and build
on related work in the fields. This is important in the era of
platforms with global reach, and the concurrent development of
powerful AI and analytics capabilities that both intrude on daily
life and try to emulate human intelligence.
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