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Research on the maturity of big data management capability of intelligent manufacturing enterprise

Author

Listed:
  • Jing Ge
  • Feng Wang
  • Hongxia Sun
  • Liuliu Fu
  • Mingwei Sun

Abstract

From the perspective of intelligent manufacturing, combined with cyber‐physical system, big data, Internet of things, cloud computing, industrial transformation and value chain concepts, this paper studies digital manufacturing, also called intelligent manufacturing. Intelligent manufacturing is explored from the perspective of the supply chain and industry chain. In this paper, other topics in the integrated big data‐driven intelligent manufacturing is also discussed.

Suggested Citation

  • Jing Ge & Feng Wang & Hongxia Sun & Liuliu Fu & Mingwei Sun, 2020. "Research on the maturity of big data management capability of intelligent manufacturing enterprise," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 646-662, July.
    • Handle: RePEc:bla:srbeha:v:37:y:2020:i:4:p:646-662
    DOI: 10.1002/sres.2707
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    References listed on IDEAS

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    1. Yang Lu, 2019. "Artificial intelligence: a survey on evolution, models, applications and future trends," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-29, January.
    2. Ebony Carter & Patrick Adam & Deon Tsakis & Stephanie Shaw & Richard Watson & Peter Ryan, 2020. "Enhancing pedestrian mobility in Smart Cities using Big Data," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 173-188, April.
    3. Yue Kang & Zhao Cai & Chee-Wee Tan & Qian Huang & Hefu Liu, 2020. "Natural language processing (NLP) in management research: A literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 139-172, April.
    4. Shifeng Fang & Lida Xu & Yunqiang Zhu & Yongqiang Liu & Zhihui Liu & Huan Pei & Jianwu Yan & Huifang Zhang, 2015. "An integrated information system for snowmelt flood early-warning based on internet of things," Information Systems Frontiers, Springer, vol. 17(2), pages 321-335, April.
    5. Michael Haenlein & Andreas Kaplan & Chee-Wee Tan & Pengzhu Zhang, 2019. "Artificial intelligence (AI) and management analytics," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 341-343, October.
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    Cited by:

    1. Li Da Xu, 2020. "Industry 4.0—Frontiers of fourth industrial revolution," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 531-534, July.
    2. Rui Ding, 2022. "Enterprise Intelligent Audit Model by Using Deep Learning Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1335-1354, April.

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