-------- Weitergeleitete Nachricht --------
Betreff: [AISWorld] CFP: AMCIS Mini-track on Social Media Analytics
Datum: Thu, 7 Jan 2016 14:21:13 +0000
Von: Nevo, Dorit <nevod@rpi.edu>
An: aisworld@lists.aisnet.org <aisworld@lists.aisnet.org>


Call for Paper: AMCIS Mini-track ­ Social Media Analytics

As social media becomes a standard communication and collaboration
platform, large amounts of data are generated and publicly available on
various platforms such as Twitter, Facebook, blogs, wikis and more. As
with other forms of big data a key question to address is how this data
can be used to learn about individual and social behaviors, how
predictions can be made on various indicators based on social media data,
and how can we apply these data to impact platform design and
organizational performance. For this mini track on social media analytics
we are interested in high quality empirical and conceptual work that
addresses these and other related questions.

 
SUGGESTED TOPICS
- Sources of data in social media
- Data extraction approaches for social media data
- Methods and applications of text analytics
- Organizational impact of social media analytics
- Applications of social media analytics

 
SUBMISSION PROCESS:
Full paper submissions must be made electronically through the AMCIS
on-line submission system (https://mc.manuscriptcentral.com/amcis2016).
Papers can be submitted beginning on January 4, 2016. Additional
information can be found on the conference Website:
http://amcis2016.aisnet.org/

 
IMPORTANT DATES:
Submission Deadlines: March 2, 2016
Final Decisions: May 1, 2016

 
MINITRACK CHAIRS: 
Dorit Nevo, Lally School of Management, Rensselaer Polytechnic Institute,
nevod@rpi.edu
Yingda Lu, Lally School of Management, Rensselaer Polytechnic Institute,
luy6@rpi.edu
Lucy Yan, Kelley School of Business, Indiana University,
yanlucy@indiana.edu

__
Dorit Nevo
Associate Professor, Information Systems
Lally School of Management
Rensselaer Polytechnic Institute
110 8th Street, Pittsburgh Building
Troy, New York, 12180
518.276.2230; nevod@rpi.edu



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