[AISWorld] AMCIS 2014 CFP: Set-Theoretic Methods: Qualitative Comparative Analysis (QCA) for IS Research

YoungKi Park ykpark8 at gmail.com
Sat Feb 1 16:29:30 EST 2014


CALL FOR PAPERS



Americas Conference on Information Systems (AMCIS), Savanah, Georgia, USA
August 7-10, 2014.



Track: Research Methods (
http://amcis2014.aisnet.org/index.php/track-list/77-amcis-2014/115 )



Minitrack Title: Set-Theoretic Methods: Qualitative Comparative Analysis
(QCA) for IS Research





*DESCRIPTION*

In recent times, information and digital technologies have become tightly
interconnected with organizational and environmental elements. This
'fusion' has created a complex system that often exhibits nonlinear,
discontinuous
change such that a small adjustment in one element can trigger drastic
changes in other elements, and eventually the whole system can change
radically and stabilize at a new equilibrium. Given such complex dynamics, the
role of information technology can be determined by other elements of the
whole system and thus can be better understood if it is viewed as a part of
the holistic system instead of as a separate independent variable.



Although traditional correlation-based methods have tremendously
contributed to the success of IS research, it becomes much difficult for
such methods alone to completely explain the complex digital phenomena.
Recently, set-theoretic configurational methods such as qualitative
comparative analysis (QCA) get increasing attention as an alternative and/or
complementary way to build a holistic configurational theory. QCA developed
by Charles Ragin (1987) integrates the strengths of both case-oriented
qualitative methods and variable-oriented quantitative methods and it is
well suited to investigating the holistic aspects of complex phenomena.





*SUGGESTED TOPICS BUT NOT LIMITED TO:*

We encourage authors to submit both conceptual and empirical papers that
discuss how set-theoretic methods are different from and complementary to
traditional methods in building or testing IS theories; show empirical
applications of QCA to IS research topics; build novel IS theories in
digital settings.

  - Empirical studies that applies set-theoretic QCA methods

  - Theory building and/or testing with set-theoretic QCA methods

  - Methodological comparison of QCA with traditional methods

  - Benefits of using QCA in the IS research areas

  - Limitations and challenges of set-theoretic QCA methods in applying to
IS research

  - Investigating the holistic aspects of complex systems with
set-theoretic methods

  - Building novel IS theories with QCA

  - Revealing new aspects of extant IS theories with QCA

  - IT impact on organizational performance - synergetic, complementary,
equifinal effects

  - Multifaceted, inconsistent roles of digital technologies such as
enabling vs. inhibiting roles

  - Multiple design solutions for new IT systems depending on
organizational idiosyncratic context

  - Enterprise architecture design with QCA

  - Social network analysis with QCA

  - Investigating the complex dynamics of new IT systems development with
QCA

  - Small, medium, and large N case QCA studies

  - QCA studies for multiple levels - individual, team/group, organization,
industry, country, population, field



This minitrack will foster discussion about how QCA can help researchers
build novel, richer theories in the IS research field. We encourage authors
to submit both conceptual and empirical papers from diverse areas which
apply QCA to IT-related topics in IS, management, sociology, strategy,
marketing, economics, operations, supply chains, accounting, and finance,
to name a few.





*INSTRCUTIONS FOR AUTHORS:*



Submission:

http://mc.manuscriptcentral.com/amcis2014
For more information visit:  http://amcis2014.aisnet.org


Important Dates:
Deadline for paper submissions: March 1, 2014
Notification of acceptance: April 4, 2014
Revisions due: April 18, 2014
Final copy due: April 25, 2014



Minitrack Co-Chairs:



YoungKi Park

ypark1 at uakron.edu

University of Akron



Nilesh Saraf

nsaraf at sfu.ca

Simon Fraser University
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