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판별시스템 중심의 지능형공공서비스 성공에 영향을 미치는 요인 연구: 정보시스템성공모형을 중심으로

A Study on the Factors Affecting the Success of Intelligent Public Service: Information System Success Model Perspective

  • 김정연 (경희대학교 빅데이터응용학과) ;
  • 이경수 (경희대학교 빅데이터응용학과) ;
  • 권오병 (경희대학교 경영학과)
  • 투고 : 2023.02.20
  • 심사 : 2023.03.27
  • 발행 : 2023.03.31

초록

Purpose With Intelligent public service (IPS), it is possible to automate the quality of civil affairs, provide customized services for citizens, and provide timely public services. However, empirical studies on factors for the successful use of IPS are still insufficient. Hence, the purpose of this study is to empirically analyze the factors that affect the success of IPS with classification function. ISSM (Information System Success Model) is considered as the underlying research model, and how the algorithm quality, data quality, and environmental quality of the discrimination system affect the relationship between utilization intentions is analyzed. Design/methodology/approach In this study, a survey was conducted targeting users using IPS. After giving them a preliminary explanation of the intelligent public service centered on the discrimination system, they briefly experienced two types of IPS currently being used in the public sector. Structural model analysis was conducted using Smart-PLS 4.0 with a total of 415 valid samples. Findings First, it was confirmed that algorithm quality and data quality had a significant positive (+) effect on information quality and system quality. Second, it was confirmed that information quality, system quality, and environmental quality had a positive (+) effect on the use of IPS. Thirdly, it was confirmed that the use of IPS had a positive (+) effect on the net profit for the use of IPS. In addition, the moderating effect of the degree of knowledge on AI, the perceived accuracy of discriminative experience and IPS, and the user was analyzed. The results suggest that ISSM and TOE framework can expand the understanding of the success of IPS.

키워드

과제정보

이 논문 또는 저서는 2020년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2020S1A3A2A02093277)

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