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Research on the impact of big data capability on logistics enterprise performance

첫 페이지 보기
  • 발행기관
    국제문화기술진흥원 바로가기
  • 간행물
    International Journal of Advanced Culture Technology(IJACT) KCI 등재 바로가기
  • 통권
    Volume 13 Number 1 (2025.03)바로가기
  • 페이지
    pp.144-152
  • 저자
    Zhu Yao, Yu JiaYin, Kim DongJoo
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A465911

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원문정보

초록

영어
Currently, with the rapid advancement of big data technology, the era of digital economy for logistics enterprises is swiftly approaching. To more accurately identify the factors influencing the development of logistics enterprises in the context of big data, this paper employs the literature research method to review relevant research literature and draws on existing research findings to construct a research model that examines the relationships among big data capabilities, enterprise logistics capabilities, and enterprise performance. Initially, descriptive statistical analysis was conducted on survey data collected from 257 logistics enterprises. Subsequently, reliability and validity tests of the questionnaire were performed, followed by mediation effect tests to empirically validate the theoretical hypotheses. The research results indicate that big data capabilities have a positive impact on the performance of logistics enterprises, big data capabilities positively affect the logistics capabilities of enterprises, and logistics capabilities positively influence the performance of logistics enterprises. Furthermore, logistics capabilities play a mediating role in the impact of big data capabilities on logistics enterprise performance. This study can provide significant practical assistance in helping logistics enterprises enhance their competitive advantage and promote reform and development. Its academic significance lies in breaking through the boundaries of traditional theories, constructing a new framework for the co-evolution of technology-organization-environment, and laying a methodological foundation for subsequent research.

목차

Abstract
1. INTRODUCTION
2. LITERATURE REVIEW AND RESEARCH HYPOTHESIS
2.1 Big data capability
2.2 Logistics Capability
2.3 Research on the relationship between big data capability and logistics capability
2.4 Research on the relationship between logistics capability and enterprise performance
2.5 Research on the relationship between big data capability and logistics enterprise performance
3. RESEARCH METHOD
3.1 Literature research method
3.2 Data collection
3.3 Questionnaire test
4. EMPIRICAL RESULTS AND ANALYSIS
5. CONCLUSION
REFERENCE

키워드

big data capability; Enterprise logistics capability; Logistics enterprise performance

저자

  • Zhu Yao [ Woosuk Univ., Korea ] Corresponding Author
  • Yu JiaYin [ Woosuk Univ., Korea ]
  • Kim DongJoo [ Woosuk Univ., Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
  • 설립연도
    2009
  • 분야
    공학>공학일반
  • 소개
    본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.

간행물

  • 간행물명
    International Journal of Advanced Culture Technology(IJACT)
  • 간기
    계간
  • pISSN
    2288-7202
  • eISSN
    2288-7318
  • 수록기간
    2013~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

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