A Study on the Derivation of Utilization Intention Factors of AI Vision Open API

  • Jang H.-H.; 
  • Choi Y.-H.; 
  • Vo T.-T.-T.; 
  • Gim G.-Y.
Citations

SCOPUS

3

초록

The classification of open source used at domestic and abroad is divided into hardware and software. This classification is simply limited to the physical and local distinction, people know that it cannot be operated or utilized independently. In the past, there have been many open source activities against commercial software, however, in recent years, activities in the field that commercial software cannot cover become active rather than developing software corresponding to commercial software. Accordingly, there has been the opinion that as the number of users has dramatically increased, open source software would be more practical than commercial software, and thus open source software took the lead in the application of new technology. Currently, various commercial software developers introduce open source concepts to develop softwares that are easy for many users to access, there are many presentations aligned with new advanced technology, and the government supports much for open source development and introduction. However, in introducing open source software with new technology by groups or organizations, various considerations such as technological, financial, periodical, and environmental factors should be taken, and those factors have not been studied, thus research is necessary at this time. © 2019 IEEE.

키워드

AHP; AI; Open Source Software; TOE model; Vision Open API; Application programs; Artificial intelligence; Environmental technology; Information dissemination; Open systems; Advanced technology; Commercial software; Environmental factors; Government supports; Hardware and software; Open API; Open source development; Open sources; Open source software
제목
A Study on the Derivation of Utilization Intention Factors of AI Vision Open API
저자
Jang H.-H.; Choi Y.-H.; Vo T.-T.-T.; Gim G.-Y.
DOI
10.1109/SNPD.2019.8935748
발행일
2019-07
유형
Conference Paper
저널명
Proceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019
페이지
331 ~ 339