Earticle

초록

영어

As digital transformation accelerates in the defense industry, firms’ ability to manage and leverage data has become a critical organizational capability. However, systematic approaches to diagnosing data capabilities in defense firms remain limited. This study proposes a 4D framework encompassing data quality, standardization, governance, and utilization. We apply an integrated AHP–SMART method to assess the relative importance and maturity of these dimensions. Survey data were collected from practitioners in firms within the Changwon Defense Innovation Cluster. The results indicate that data governance and standardization are perceived as more important than data quality and utilization. Most firms were found to be at the integration stage (Level 4) of data capability maturity, although meaningful differences were identified across firms, particularly in advanced data utilization. This study contributes a structured diagnostic framework and an empirical assessment approach and offers practical implications for promoting data-driven digital transformation in the defense industry.

목차

Abstract
1. 서론
1.1 연구의 배경과 필요성
1.2 연구의 목적
2. 이론적 기초 및 환경분석
2.1 디지털 전환과 데이터 역량평가 확산
2.2 방산혁신클러스터의 정책적 배경
2.3 국방 분야 데이터 기반 전환 환경
3. 연구방법
3.1 4D 데이터 역량 프레임워크
3.2 연구모형 설계
3.3 AHP 모형 구성요소의 조작적 정의
3.4 설문지 설계 및 자료수집 방법
4. 실증분석
4.1 AHP 가중치 분석 결과
4.2 SMART 평가 결과
4.3 데이터 역량 종합지수 산출
4.4 데이터 역량 성숙도 수준 분석
5. 결론 및 시사점
5.1 연구 결과 요약
5.2 정책적‧실무적 시사점
5.3 연구의 한계 및 향후 연구
[References]

키워드

저자

• 하준수 [ Ha Junsu | 육군 군수사령부 군수기반품질관리처 주무관, 경상국립대학교 대학원 경영정보학과 박사과정 ] 제1저자
• 정대율 [ Jeong Dae-Yul | 경상국립대학교 경영대학 경영정보학과 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