Abstract:
Thailand 4.0 policy focuses on supporting a creation of Innovation-Driven Entrepreneurship (IDE) to create innovative products. It is aimed to raise the countrys competitiveness, increase employment rate, and generate high income. At present, a government has various supports for innovative businesses at different levels. However, these supports have not efficiently matched to the recipients in practice and led to a high economic risk. That was attributable to a lack of ability to effectively distinguish a potential innovative business from a broad general business. This research studies and analyzes several factors that indicate IDE business features, in order to create a system to separate a high-potential IDE business group out of a NON-IDE. The IDE business features in various dimensions can be obtained from literature reviews and in-depth interviews with government policy agencies, innovation funding agencies, and successful IDE entrepreneurs. These set of business features which commonly indicate the innovation businesses, the startups and the SMEs were then priority sorted and combined as a set of survey questionnaires with 30 indicating factors in 4 dimensions. A survey from 17 IDE businesses and 14 NON-IDE businesses were collected for a statistical analysis. It should be noted that average scores of the indicating factors were observed to successfully differentiate the IDE group out of the NON-IDE in each comparative dimensions. The results were then plotted as IDE mapping database to use as a tool for evaluating the features of businesses or entrepreneurs who are applying for funding. Five business applicants were tested with the survey questionnaires in 4 dimensions of business features, and then compared to the IDE mapping database. Identification results of these 5 applicant profiles were satisfactorily correct according to the IDE and NON-IDE classification. Therefore, the IDE identifying system can be developed as a web application, which can be used tool to support a consideration process for the innovation funds by government agencies.