Title: The Classification, Challenge and Potential of Business Models by Using Open Data
Authors: Tetsuo Noda:Shimane University; Hiroki Fukushiro:Shimane University;
Akio Yoshida:Jawaharlal Nehru University; Shane Coughlan:Opendawn
Abstract: Public data collected or possessed by administrative agencies and subsequently released as Open Data is expected to bring about positive economic effects. The purpose of our research is to estimate economic effects provided by the utilization of Open Data in business industries. To prepare a statistical analysis survey for business industries we would classify Open Data business model case studies. In this paper we have classified existing Open Data business cases into business models to facilitate statistical analysis regarding effectiveness and growth potential. This approach allows us to extract the challenges and possibilities of each Open Data business model within certain parameters.
Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.