IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i1d10.1007_s13198-021-01461-9.html
   My bibliography  Save this article

Risk management of project information system operation and maintenance based on Cloud Computing

Author

Listed:
  • Qunying Mao

    (Xinxiang University)

Abstract

In this experiment, according to the actual situation and content of the project information system operation and maintenance project, combined with the systematic research of relevant literature, the paper proposes to combine the coupling matrix method with the expert survey method to identify the risk factors in the operation and maintenance of engineering project information system. According to the results of risk factors identification, the risk evaluation system is established, and the corresponding risk matrix is constructed, and the risk organization structure is established to complete the risk control. The results show that the top three factors of occupation risk occurrence probability are spare parts arrival and damage (95%), cloud platform data backup and archiving (91%), change control process (90%); the top three factors of occupation risk value are cloud platform data backup and archiving (86.45%), spare parts and arrival (84.55%), change control process (83.70%); the above results show that the operation and maintenance risk of project information system Management should focus on spare parts arrival and damage, cloud platform data backup and archiving, change control process, and other risk factors in high-risk areas. At the same time, the risk management and control measures should be targeted, and the measures taken are different according to the degree of risk; the establishment of the project information system operation and maintenance risk management organization based on the management team structure is conducive to the operation and maintenance risk management.

Suggested Citation

  • Qunying Mao, 2023. "Risk management of project information system operation and maintenance based on Cloud Computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 176-187, February.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-021-01461-9
    DOI: 10.1007/s13198-021-01461-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01461-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01461-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shikha Gupta & Anil K. Saini, 2017. "Modeling Trust Based Risk Management in Cloud Adoption using Fuzzy Inference System," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 8(1), pages 52-60, January.
    2. Masky Mackita & Soo-Young Shin & Tae-Young Choe, 2019. "ERMOCTAVE: A Risk Management Framework for IT Systems Which Adopt Cloud Computing," Future Internet, MDPI, vol. 11(9), pages 1-21, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paniti Netinant & Nattapat Saengsuwan & Meennapa Rukhiran & Sorapak Pukdesree, 2023. "Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability," Sustainability, MDPI, vol. 15(20), pages 1-28, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-021-01461-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.