Earticle

초록

영어

As project environments become more complex and uncertain, the usefulness of deep learning-based schedule forecasting depends not only on algorithms but also on how project data are managed and processed. Drawing on organizational information processing theory, this study examines the associations among project data management competency, information processing quality, project characteristics, and schedule forecasting accuracy. PLS-SEM was applied to 283 survey responses from project practitioners and managers; model learning quality and project state representation were analyzed using a subsample of 127 respondents with experience in deep learning-based forecasting systems. The survey outcome represents respondents’ perceived forecasting accuracy, not error metrics calculated from their projects. The results show that data quality management, data operations management maturity, and data richness and diversity are positively associated with perceived forecasting accuracy, partly through information processing quality. Project complexity and uncertainty strengthen selected relationships, whereas the moderating role of project management methodology is limited. Separately, exploratory LSTM experiments using RCPLIB and DSLIB report objective performance through MAE and RMSE and provide supplementary evidence that forecasting errors vary with data conditions. The findings distinguish perceived from objective accuracy and suggest that data management competency and information processing capability are important conditions for AI-enabled project schedule forecasting.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 딥러닝 기반 프로젝트 일정 예측
2.2 프로젝트 데이터 관리 역량
2.3 정보처리 품질
2.4 프로젝트 특성
2.5 본 연구와 선행연구와의 차이점
3. 연구모형 및 가설 설정
3.1 연구모형의 설정
3.2 연구가설의 설정
3.3 연구설계 및 분석방법
4. 실증분석 내용 및 결과
4.1 표본의 특성
4.2 타당성 및 신뢰성 검증
4.3 가설검증 결과
4.4 객관 데이터 기반 예측 성능 분석
5. 결론
5.1 연구결과의 요약
5.2 학문적 시사점
5.3 실무적 시사점
5.4 정책적 시사점
5.5 연구의 한계 및 연구방향
References

키워드

저자

• 이재광 [ Jae Kwang Lee | 캐롤라인대학교 경영학과 박사과정 ] 제1저자
• 강신봉 [ Sinbong Kang | 캐롤라인대학교 경영학과 교수 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  프로젝트경영연구 [Project Management Review]

• 간기

  반년간

• eISSN

  2799-3434

• 수록기간

  2021~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658