[AISWorld] AMCIS 2014 CFP - Research Methods Track

[Kerry Ward]

20th Americas
Conference on Information Systems (AMCIS), Savanna Georgia, August 7-10, 2014 (http://amcis2014.aisnet.org)
 
Research Methods Track (http://amcis2014.aisnet.org/index.php/track-list/77-amcis-2014/115) 
and Set-Theoretical Methods: Qualitative Comparative Analysis (QCA) for IS
Research mini-track
 
Track Co-Chairs:
 
Chris
Street,  University of Regina, chris.street at uregina.ca
Kerry
Ward, University of Nebraska – Omaha, kwward at unomaha.edu
 
We invite submissions for the
Research Methods Track and Set-Theoretical Methods mini track at the 20th Americas Conference on Information Systems (AMCIS) to be held in Savanna
Georgia on August 7-10, 2014.  While the track is open to a wide range of
submission we encourage submissions that focus on the processes and procedures
by which new knowledge to the information systems field is discovered and
created.  This includes examples of the innovative application of
methodological techniques as well as discourse and description of particular
methodological improvements.
 
Important
Dates:
 
January
5, 2014 – Manuscript submission opens
March
1, 2014 – Submission Deadline
April
4, 2014 – Author Notification
April
18, 2014 – Revision Deadline
April
25, 2014 – Camera Ready Submission Deadline
 
Possible submission topics
include, but are not limited to:
 
	* Use of multiple methods in coordinated research streams or a single study
	* Examinations of problems that have been historically viewed through particular approaches, such as experiments or surveys, but are being re-envisioned using other techniques
	* Best, contingent, or recommended approaches to specific qualitative methods or quantitative methods
	* What IS research has learned from the recently developed methods used in reference disciplines and what IS can contribute to these and other disciplines 
	* The role of theory
	* Ethical considerations in research methods
	* Use of software tools for data analysis, and related strategies
	* Techniques for big data analysis
	* Methodological and ethical considerations for the creation, sharing and reuse of large datasets from data available in the public domain.
 
 
Kerry W. Ward, CPA, MBA, PHD
Associate Professor
Peter Kiewit Institute
University of Nebraska – Omaha
402-554-3369
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