WISE 2014

The Workshop on Information Systems Economics (WISE) is the premier invitational research forum for the discussion of information systems issues through the lens of economics. We expect researchers at WISE 2014 to bring forth their cutting-edge research that address salient business and societal level questions at the intersections of big-data, business analytics, social media, mobile marketing, wearable technologies, digitization of social processes and the power of the crowds. These newer IT enabled phenomenon have wide ranging impacts for consumers, firms, industries, markets and societies, making this a fascinating time to be a WISE researcher. WISE researchers use state-of-the-art methodologies ranging from, but not limited to, analytical modeling, to reduced form and structural econometric modeling approaches, and to randomized field experiments to improve our understanding of a rapidly changing, hyper-connected and digitized world.

We welcome new and interesting research on topics ranging from, but not limited to:
  • Business value of IT
  • IT, productivity and organizational complements
  • Economic value of enterprise IT
  • Societal value of IT
  • The role of social media within enterprises
  • Social media marketing
  • Omni-channel marketing and digital attribution
  • Peer influence
  • Viral marketing and incentive schemes
  • Mobile - penetration, societal benefit, and user generated content
  • Mobile marketing and contextual frictions
  • Location and geography in IS of economics
  • Electronic markets and online auctions
  • Digitization of social processes such as dating and friendship
  • Fundamental constructs of human behavior from the online social graph
  • Digital goods related issues from pricing to bundling to versioning
  • Digital piracy and IP protection
  • Human capital issues and economics of IT labor
  • Open innovation, crowdfunding and crowdsourcing
  • Outsourcing and offshoring of IT and IT enabled services (BPO)
  • Antitrust and intellectual property rights in IT
  • Platform competition, standards and two sided networks
  • IT in healthcare
  • Network externalities in digital products and services
  • Methodological advances in identifying causal linkages
  • Predictive modeling in economics of IS
  • Machine learning in economics of IS

The above mentioned issues could be analyzed using analytical, empirical, experimental, computational or a combination of these methodolgies.

Ravi Bapna (University of Minnesota), Ramnath Chellappa (Emory University), Anindya Ghose (New York University), Jui Ramaprasad (McGill University), Sarah Rice (Texas A&M University)

 arrow Important Dates
Submissions accepted:
Wednesday, July 23, 2014
Submission deadline:
Monday September 15, 2014
Notice of acceptance:
Saturday November 1, 2014
Online early registration opens:
Wednesday October 15, 2014
Drafts due for discussion:
Wednesday November 26, 2014
Online Early registration closes:
Monday  November 17, 2014
Online Regular registration opens:
Monday  November 18, 2014
Online Regular registration closes:
Monday December 1, 2014
Online Late Registration opens:
Tuesday December 2, 2014
Onsite Registration is online only:
Wednesday December 17, 2014