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A Study on the Measurement of Service Quality of Construction Technology Digital Library System

건설기술 디지털도서관시스템의 서비스 품질 측정에 관한 연구

  • Jeong, Seong-Yun (Department of Future Technology and Convergence Research, Korea Institute of Civil Engineering and Building Technology)
  • 정성윤 (한국건설기술연구원 미래융합연구본부)
  • Received : 2018.10.23
  • Accepted : 2018.12.07
  • Published : 2018.12.31

Abstract

This study designed a research model to improve the service quality of a Construction Technology Digital Library System (CODIL), which is operated to enhance the technical competitiveness of construction and engineering companies. SERVQUAL, LibQUAL+, and DigiQUALTM are models for measuring the library service quality. This study examined the factors used in SERVQUAL, LibQUAL+, and DigiQUALTM to objectively select the measurement factors used in the research model. This study selected the factors that reflect the characteristics of CODIL among the factors investigated. Next, this study was conducted with a sample of CODIL members. The correlations between the independent variables and a dependent variable were analyzed, and the factors and influence of CODIL on the user satisfaction were examined. These results can be used as useful data to improve the service of digital libraries in other specialized fields.

한국건설기술연구원은 건설 및 엔지니어링업체의 기술경쟁력을 높이기 위해 건설기술 디지털도서관시스템(CODIL)을 운영하고 있고, CODIL의 이용자 만족도를 높이기 위한 일환으로서 매년 설문조사를 실시하였다. 하지만, 설문조사를 통해 얻은 만족도 점수를 가지고서 단순히 이용자 만족도의 수준을 설명하였기 때문에 만족도 개선을 위한 전략을 수립하는데 부족함이 있어 이용자의 만족도를 객관적으로 측정할 수 있는 새로운 연구모형이 필요하였다. CODIL의 서비스 품질 측정에 적합한 연구모형을 설계하기 위해 도서관의 서비스 품질과 관련한 SERVQUAL, LibQUAL+, DigiQUALTM에서 사용한 항목들을 조사하여 조사된 항목들 중 CODIL의 특성을 반영할 수 있는 항목들을 선정하였다. 다음으로, CODIL 회원을 표본으로 한 설문조사 결과를 가지고서 독립변수들과 종속변수 간의 상관관계를 측정하였고, 이용자 만족도에 영향을 미치는 유의한 측정 항목들과 영향력을 분석하였다. 본 연구결과는 다른 전문 분야에서의 디지털 도서관의 서비스 품질을 개선하는데 유용한 기초자료로 활용할 수 있을 것으로 사료된다. 추가적인 연구로는 CODIL의 서비스 측정에 사용된 측정항목들과 응답자의 인구통계학적 특성간의 상관관계의 통계량을 계산하여 유의한 독립변수들이 이용자 만족도에 미치는 영향정도를 분석할 필요가 있다.

Keywords

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Fig. 1. Hierarchical structure of service quality decision factors

Table 1. Demographic characteristics of respondents

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Table 2. Survey results on quality of provided documents

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Table 3. Survey results on quality of document usage

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Table 4. Survey results on quality of CODIL system

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Table 5. The result of multiple regression analysis for research hypothesis 1

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Table 6. The result of multiple regression analysis for research hypothesis 2

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Table 7. The result of multiple regression analysis for research hypothesis 3

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