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Call for Papers: HICSS-52 in beautiful Maui, HI!
Minitrack: Knowing What We Know: Theory, Meta-analysis and Review
(Organizational Systems and Technology track)
8-11 January, 2019
Grand Wailea Maui
http://hicss.hawaii.edu<http://hicss.hawaii.edu/>
Minitrack Chairs: Dirk Hovorka and Kai Larsen
The "Knowing What We Know: Theory and Review" mini-track invites
submissions that pursue approaches, methods and conceptual papers
which will advance the IS field ability to "know what it knows".
Our ability to understand, integrate and synthesize the
exponentially growing body of scientific literature in the social
sciences is hampered by both structural and social problems. These
include a lack of standardization for concepts and constructs
across the fields and a lack of infrastructure and powerful search
and integration tools which would enable researchers to perform
meta-theorization. The aim of this mini-track is to engage the
disciplinary infrastructures other fields have successfully
progressed (e.g. metaBUS, the Human Behavior Project, Medline and
the Biological Science Database) that will enable IS to better
know what we know.
Research over the last decades has emphasized theory development
in IS and other social and behavioral science disciplines. The
resulting proliferation of theories and constructs has numerous
redundancies, which can be revealed through review,
meta-theorization/meta-analysis and interrogation of the theory
discourse. Theory ontologies would benefit the disciplines by
identifying what we can now research given what we already know.
Theory synthesis or integration will inform social and behavioral
sciences research with a better understanding of fundamental
theories, help organize our theories to be accessible to practice,
and increase our understanding of the philosophical commitments
represented in their contextualization and use.
The scope of the papers for the mini-track is quite broad,
including for example, the development of theory ontologies,
approaches to theory integration, and meta-analytic/review
approaches to building cumulative theory. We also welcome
approaches to the local contextualization of theory where insight
is gained into valuable distinctions.
Toward these ends, topics of interest in this mini-track include:
1. Approaches to theory meta-analysis, integration or aggregation
of social and behavioral science theories;
2. The theoretical ties between different disciplines (e.g.
healthcare and IS, and sustainability science and IS, energy
informatics), or parallel the trends in theorizing the same
phenomenon;
3. Research on ontologies, taxonomies, frameworks, and
categorizations of constructs and variables used in system science
theories;
4. Conceptual papers on an Social Science Infrastructure that
would support social sciences
5. Techniques for the extraction of constructs and relationships
from published papers
6. The use of natural language processing, data mining, and
predictive analytics to better understand and interrogate
theories;
7. Discussion of the roles of theories used to explain, approaches
used to predict (e.g. neural nets and big data), and of theories
of understanding;
8. Exploration of the dependencies of constructs and variables;
9. Exploration of the boundaries of theory "domains."
This mini-track also has an associated ISWorld website devoted to
theories used in IS research
(
http://istheory.byu.edu/wiki/Main_Page) - which won the 2005
AISWorldNet Challenge Award for the best website based on
AISWorldNet user voting. We intend to uphold this high standard
and advance the website further by increasing the synergy between
mini-track outcomes and website content.
For further conference details, schedules and submission
guidelines please see:
http://www.hicss.org/
HICSS Author Guidelines:
http://hicss.hawaii.edu/tracks-and-minitracks/authors/
We hope to see you in Hawaii in January 2019!
Mini-track Co-Chairs:
Dirk S. Hovorka
Associate Professor
University of Sydney Business School
University of Sydney
New South Wales, AU
dirk.hovorka@sydney.edu.au<mailto:dirk.hovorka@sydney.edu.au>
Kai R. Larsen
Associate Professor
Leeds School of Business
University of Colorado
Boulder, Colorado
kai.larsen@colorado.edu<mailto:kai.larsen@colorado.edu>
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