공공데이터 품질 요인이 공공데이터 개방정책의 신뢰에 미치는 영향에 관한 연구

Abstract

This article aims to identify the quality factors of public data which have increased as a public issue; analyze the impact of users satisfaction in the perspective of Technology Acceptance Model(TAM), and investigate the effect of service satisfaction on the government's open policy of public data. This study is consistent with Total Data Quality Management(TDQM) of MIT, it focuses on three main qualities except Contextual Data Quality(CDQ) and includes seven independent variables : accuracy, reliability, fairness for Intrinsic Data Quality(IDQ), accessibility, security for Accessibility Data Quality(ADQ), Consistent representation and understandability for Representational Data Quality(RDQ). Basing on TAM, the research model was conducted to examine which factors affect to perceived usefulness, perceived ease of use, service satisfaction and how service satisfaction affects to the government’s open policy of public data. The results showed that accuracy, fairness, understandability affect both perceived ease of use and perceived usefulness; while reliability, consistent representation, security, and accessibility affect only perceived ease of use. This article found that the influence of perceived ease of use on perceived usefulness and the influence of these two causes on service satisfaction in the perspective of TAM were significant and it was consistent with prior studies. The service satisfaction when using public data leads to the reliability of public data open policy. As an initial study on unstructured public data open policy, this article offered quality factors that pubic data providers should consider and also present the operation plan of public data open policy in the future.