Title: The Classification and Potential of Business Archetypes by Using Open Data
Authors: Run Duan (Guangdong University of Technology), Tetsuo Noda (Shimane University)
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 this paper is to summarize the business archetypes of using Open Data to establish whether this expectation holds true, and to classify Open Data business archetypes into 7 types to predict their commercial potential.
Download: This contribution is part of the OpenSym 2019 proceedings and is available as a PDF file.