Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지

A Necessity of Measurement Customer Satisfaction to NSO Products for Enhancing Quality

  • Published : 2005.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Nowaday, statistical data with coherence, accuracy and timeliness are necessary to government, company and research center for decision making or research. In other words, the importance of statistical data quality is steadily increasing. Thus, in this paper, we suggest necessity of measuring customer satisfaction with NSO products for enhancing quality. And we construct measurement scale for measuring customer satisfaction based on the statistical quality indicators. Also we advise use of structural equation model in relation analysis for statistic quality elevation.

Keywords

References

  1. 품질경영론 김연성
  2. 조사연구 v.5 no.2 통계품질향상을 위한 평가지표 개발 류제복;유정빈;김선웅
  3. 응용통계연구 v.17 no.3 통계작성기관의 통계품질관리를 위한 가이드라인 연구 박성현;박진우
  4. 6시그마 혁신전략 박성현;이명주;정목용
  5. 경영논총 v.39 no.1 통계기관과 총체적 품질경영(TQM) 성삼경
  6. 경영품질론 안영진
  7. National Statistics Quality Reviews 영국통계청
  8. 통계연구 v.6 no.1 바람직한 통계 품질평가 방향 이동명
  9. 품질혁신 v.2 no.1 AMOS를 이용한 은행 고객 만족지수 측정 이용구
  10. 응용통계연구 v.17 no.3 정보통신산업 통계품질 향상을 위한 이용자 만족도 조사 장인상;문태희;손소영
  11. 한국데이터정보과학회지 v.16 no.2 구조방정식모형을 이용한 인터넷뱅킹 이용고객 만족도 측정 최경호
  12. 2004년 통계이용실태 및 수요조사 결과보고서 통계청
  13. International Conference on Quality in Official Statistics Measuring customer satisfaction in the public sector Cassel, C.
  14. FCSM research conference Delivering and measuring data quality in UK National Statistics Haworth, M.F.;Martin, J.
  15. International Conference on Quality in Official Statistics Measuring customer satisfaction with Census Bureau products Kavaliunas, J.
  16. Journal of Retailing v.64 no.Spring SERVQUAL : A Multi-Item Scale for Measuring Cfustomer Perceptions of Service Quality Parasuraman, A.;Zeithaml, V.A.;Berry, L.L.
  17. Statistics Canada Quality Guidelines Statistics Canada
  18. International Conference on Quality in Official Statistics Effective use of data quality indicators Warren, J.