Developing a B2C Web-based Ontology Survey system and Business Model Construction

نویسندگان

  • Chao-Hung Yu
  • Fang-Ming Hsu
چکیده

This study proposes a Delphi web-based ontology survey system, which is designed based on the method for obtaining independent forecasts from an expert panel over two or more rounds, with summaries of the anonymous forecasts provided after each round. The platform makes ontology creation more convenient. Recently, there have appeared many studies on webbased survey research, but only a few studies focus on B2C web-based ontology survey. We notice that different B2C web-based surveys offer different kinds of business models. This study focuses on studying the business model of B2C web-based ontology survey to learn how they are doing business. We also study and analyze the criteria of business owners to select a B2C web-based ontology survey, and hope this information will be helpful to such business owners. Finally, we also make recommendations to the business owner in charge.

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تاریخ انتشار 2008