메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Devid Kumar Basyal (Incheon National University) Jin-Wan Seo (Incheon National University)
저널정보
한국외국어대학교 인도연구소 남아시아연구 남아시아연구 제24권 제3호
발행연도
2018.11
수록면
43 - 85 (43page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
People’s trust in government has remained an issue of core concern throughout the world. Performance of public agencies fundamentally determines the perception of citizens ’ satisfaction to those agencies which ultimately results in people’s trust in government(s). Majority of the academic works on this relationship often discuss it as ‘ performance-satisfactiontrust’ model. For this purpose, a theoretical framework linking E-government innovation to the perceived reduction of red tape, citizens’ satisfaction and trust in government, is developed and main hypotheses have been empirically tested against the data collected for the purpose. In a performance-satisfactiontrust model, this study contributes to the field of literature by adding the mediating role of perceived reduction of red tape between E-government innovation and citizens’ satisfaction. The study incorporates survey data collected from taxpayers who are users of Integrated Tax System (ITS) under Inland Revenue Department (IRD), Nepal. The study employs a structural equation path model considering major latent constructs. The study indicates that use of online tax system (here E-government innovation) helps to perceived reduction of red tape which in turn results in satisfaction in citizens. Ironically, citizens show less trust in Inland Revenue Department and its employees. Hence, the study recommends the Government of Nepal be more serious and adopt special strategies to improve its accountability reflecting its credibility among the citizens.

목차

〈Abstract〉
Ⅰ. Introduction
Ⅱ. Theoretical Discussion, Conceptual Model, and Hypotheses Development
Ⅲ. Research Methods
Ⅳ. Data Analysis and Findings
Ⅴ. Discussion
Ⅵ. Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-309-000330404