[논문]핀테크 지급결제 서비스 사용중단의도 영향요인 연구: Y대학 재학생을 중심으로

장은진; 황신해; 김정군

doi:10.14400/jdc.2022.20.3.117

핀테크 지급결제 서비스 사용중단의도 영향요인 연구: Y대학 재학생을 중심으로
The Study on the Factors Affecting Discontinuance Intention of FinTech Payment Service: Focusing on Y University Students 원문보기

디지털융복합연구 = Journal of digital convergence, v.20 no.3, 2022년, pp.117 - 129

장은진 (영남대학교 경영학과) , 황신해 (영남대학교 경영학과) , 김정군 (영남대학교 경영학과)

초록
AI-Helper

본 연구는 가치기반수용모형을 기반으로 핀테크 지급결제 서비스 사용자의 사용중단의도에 영향을 미치는 요인을 실증 검증하였다. 디지털 기기에 익숙하고 지급결제 서비스에 대한 거부감이 없고 서비스 접근성이 높은 20대 대학생을 대상으로 설문을 진행하였다. SPSS와 SmartPLS를 이용하여 총 148부의 설문지를 분석한 결과, 핀테크 지급결제 서비스 사용자의 사용중단에 영향을 미치는 요인으로 지각된 혜택, 복잡성, 보안에 대한 우려가 유의한 영향을 보였다. 이 중 지각된 혜택이 가장 큰 영향을 보였다. 본 연구결과를 바탕으로 핀테크 제공 기업들은 사용자와의 장기적인 관계 유지를 위한 노력으로 지속적인 혜택 제공, 다양한 사용 가능성 확보를 위한 시스템 개선, 보안에 대한 사용자의 부정적 인식 감소를 위한 서비스 환경을 구축할 수 있을 것이다. 최근 고령층의 서비스 사용이 증가하면서 향후 연구에서는 다양한 연령층을 대상으로 확대할 필요성이 있다.

Abstract ▼ AI-Helper

In the perspective of value-based adoption mode, this study empirically examined the factors that affect the intention of users of Fintech payment services to stop using them. A survey of college students who are familiar with digital devices, have no objection to payment and settlement services, and have high service access. A total of 148 questionnaires were analyzed using SPSS and SmartPLS. The study results show that perceived benefits, complexity, and security concerns are significant factors influencing the discontinue intention of Fintech payment services. Among them, the perceived benefit showed the most significant influence. Based on the results of this study, Fintech providers will be able to build a service environment to provide continuous benefits for maintaining long-term relationships with users, improve systems to secure various uses, and reduce users' negative perceptions of security. Recently, the use of services by the elderly has increased, so it is necessary to expand the scope of this study to target various age groups in future research.

주제어

표/그림 (10)

그림 Fig. 1. Reason for using Fintech payment service
표 Table 1. Previous studies on Fintech
표 Table 2. Previous studies on Value-based adoption model
그림 Fig. 2. Research model
표 Table 3. Confirmatory factor analysis results and measurement item characteristics
표 Table 4. Respondents characteristics
그림 Fig. 3. Summary of data analysis results
표 Table 5. Confirmatory factor analysis results and measurement item characteristics
표 Table 6. Correlations between latent constructs
표 Table 7. Model path analysis

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저자의 다른 논문 :

표제어: PCR

동의어: Packet Collision Rate

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