지능형 빅데이터 기반 상권정보시스템의 사용의도에 영향을 미치는 요인에 관한 연구

초록

In order to prepare for the coming post-COVID Era, the government is expected to focus its various resources on policies to support start-ups. Accordingly, there is a high possibility that the demand for commercial information providing services, which is the most important key to the success of a start-up, will gradually increase. This study tried to analyze the factors affecting the intention to use the Big Data-based Commercial Information System, which has been in operation since 2006. To analyze the factors, hypotheses were established by applying the Information System Success Model and the UTAUT Model, and a survey was conducted targeting consultants who performed consulting for pre-entrepreneurs and start-ups to verify the hypothesis. As a result, it was verified that the Information System Success Model and social influence of the UTAUT Model affected performance expectancy and effort expectancy, which are mediating variables. It was also verified that performance expectancy and facilitating condition affect intention to use.

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