[논문]건설프로젝트 성과에 영향을 미치는 ABC 성공요인 분석

신영수; 조진호; 김병수

doi:10.6106/kjcem.2022.23.3.056

[국내논문] 건설프로젝트 성과에 영향을 미치는 ABC 성공요인 분석
Analysis of ABC Success Factors Affecting Construction Project Performance 원문보기

한국건설관리학회논문집 = Korean journal of construction engineering and management, v.23 no.3, 2022년, pp.56 - 65

신영수 (경북대학교 법학전문대학원) , 조진호 (경북대학교 지능형건설자동화연구센터) , 김병수 (경북대학교 토목공학과)

초록
AI-Helper

본 연구는 활동기반 재무관리기법인 ABC의 성공요인과 관련한 사례연구를 통해 건설프로젝트에 적용 가능한 요인을 추출한 다음 ABC의 성공요인이 프로젝트성과에 미치는 영향력을 파악하고, 커뮤니케이션의 조절효과를 분석하여 ABC의 핵심 성공요인을 밝혀내고자 하였다. 설문조사 방법은 델파이 기법을 활용하여 온라인 설문방식으로 진행하였다. 통계 분석방법은 SPSS Statistic 20으로 빈도분석과 요인분석을 수행하고 SmartPLS 2.0으로 가설검증을 수행하였다. 분석결과, 품질 이니셔티브와의 연계가 프로젝트성과에 미치는 ABC의 성공요인뿐 아니라 커뮤니케이션 조절효과에도 영향을 미치는 것으로 나타났다. ABC 성공을 위해서는 품질 이니셔티브와의 연계와 커뮤니케이션이 가장 중요한 핵심 성공요인임을 확인할 수 있었다. 본 연구의 결과를 바탕으로 ABC와 품질경영을 잘 연계시킨다면 프로젝트의 성과를 향상하는데 효과를 볼 수 있을 것으로 기대한다.

Abstract ▼ AI-Helper

This study tried to identify the key success factors of ABC by identifying the influence of ABC's success factors on project performance and analyzing the moderating effect of communication. For this purpose, factors applicable to construction projects were extracted through case studies related to the success factors of ABC, an activity-based financial management technique. The survey method was conducted as an online survey method using the Delphi method. For statistical analysis, frequency analysis and factor analysis were performed with SPSS Statistic 20, and hypothesis testing was performed with SmartPLS 2.0. As a result of the analysis, it was found that linkage with quality initiatives affects not only ABC's success factors on project performance, but also communication moderation effects. It was confirmed that linkage and communication with quality initiatives are the most important key success factors for ABC's success. Based on the results of this study, it is expected that if ABC and quality management are well linked, it will be effective in improving project performance.

주제어

표/그림 (10)

그림 Fig. 1. ABC System Research Model
표 Table 1. Sample status
표 Table 2. Operational Definition of Variable
표 Table 4. Demographic profile of the respondents (n=87)
표 Table 3. Composition of questionnaire
표 Table 5. Item loadings and AVE
표 Table 6. Correlation coefficient matrix and roots of the AVEs (shown as diagonal elements)
표 Table 7. Goodness of fit analysis
표 Table 8. Results of hypothesis testing
표 Table 9. Result of moderation test of Communication in the LQI and PP relationship

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