Cedar Falls, IA, September 2, 2010 -- Call for Papers Journal of Decision Systems (JDS) at http://jds.revuesonline.com/ for a Special issue on “Decision Making in Web 2.0 and Social Media Environments”. The submission deadline is January 15, 2011. The Guest Editors are Gloria Phillips-Wren, Loyola University Maryland, and Dan Power, University of Northern Iowa.

Web 2.0 technologies allow a rich mix of media, interconnected streams of social conversation between users, and one-on-one interaction between the user and the technology delivering the message. These characteristics can influence a decision maker by, for example, enabling interaction with others, presenting diverse points of view, or providing personalized messages that consumers respond to more favourably than generalized ones (cf., Tam and Ho, 2006; Adomavicius and Tuzhilin, 2005). Social theories can provide an understanding of virtual customer environments that allow them to be tailored to a desired customer response (cf., Nambisan and Baron, 2010), while knowledge management and business intelligence are enablers to utilizing information from social media (cf., Picariello and Sansone, 2008).

This special issue of the Journal of Decision Systems (JDS) seeks research that is focused on the influence of Web 2.0 and social media environments on decision making. JDS publishes original research in English and French which extends or consolidates scientific knowledge related to decision systems for researchers and practitioners who design, implement and evaluate computer-based decision systems. Papers on decision theory, computer science, artificial intelligence and operations research are appropriate as directly related to actual decision situations. Case studies that demonstrate research insights are welcome.

Keywords that might indicate a paper in alignment with the theme of the special issue include but are not limited to:

• Decision models in virtual environments

• Theory of decision making in Web 2.0 environments

• Virtual teams and decision making

• Interfaces for social media

• Personalization

• Multicriteria decision making in Web 2.0

• Knowledge Management in social media

• Collaborative decision making in social media

• Online customer forums

• Consumer response to negative feedback

• Influence of user-generated content on decision making

• Co-creation of value

• Effect of viral marketing

• Evaluation of Web 2.0 technologyv Review and submission instructions

Each paper will be reviewed, and accepted or rejected based on its own merit and subject appropriateness by using a double-blind, peer-reviewed process. All papers must be original, of high quality, and of approximately 12-15 pages in length at the publication stage. Papers must not have been previously published or under consideration for publication elsewhere. We plan to select about 6-7 high quality papers for this special issue. The number of figures, tables, and equations should be included within the text for readability.

Full papers should be emailed to Gloria Phillips-Wren (gwren@loyola.edu) or Dan Power (Daniel.Power@DSSResources.COM) no later than January 15th 2011. Acknowledgement will be sent upon receipt.

Submissions should be in either MS Word or PDF (with names of authors removed). Accepted papers will need to comply with the required publication style and material for JDS. Authors should consult the Instructions for Authors section at http://jds.revuesonline.com/

Deadlines

Paper submission for review: January 15th 2011

Review results: March 15, 2011

Revised paper submission: April 15, 2011

Final acceptance: May 15, 2011

Manuscript delivery to the publisher: June 30, 2011

Inquiries should be sent to the special issue editors Gloria Phillips-Wren (gwren@loyola.edu) or Dan Power (Daniel.Power@DSSResources.COM) .

References

Adomavicius, G. and Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48 (10), October, 83-90.

Nambisan, S. and Baron, R. (2010). Different roles, different strokes: Organizing virtual customer environments to promote two types of customer contributions. Organization Science, 21(2), 554-572.

Picariello, A. and Sansone, C. (2008). A web usage mining algorithm for web personalization. Intelligent Decision Technologies International Journal, 2 (4), 219-230.

Tam, K. and Ho, S. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. MIS Quarterly, 30 (4), 865-890.