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Application of cloud computing technology in optimal design of decision support system under mass communication theory

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  • Xiaozhu Yang

    (Zhejiang A&F University)

Abstract

Under the promotion of the Supply-side Structural Reform, meanwhile, with the continuous development and maturity of emerging technologies such as big data technology and cloud computing technology, the publishing industry has further transformed, upgraded and integrated. In this context, cloud computing technology is employed to build and optimize the decision support system (DSS) from the perspective of mass communication theory. Besides, the topic selection DSS and the demonstration work in the publishing house of the electronic industry are evaluated and analyzed by the model to achieve the digitalization and visualization of topic selection planning, so that the communication information flow can break the barriers and realize the closed loop. Therefore, the research outcome promotes the optimization and upgrading of the production mode and publishing process of the publishing industry, strengthens the competitiveness and influence of book publishing, and provides academic support for the topic selection of the publishing industry, making positive contributions to the publishing industry in the new era.

Suggested Citation

  • Xiaozhu Yang, 2022. "Application of cloud computing technology in optimal design of decision support system under mass communication theory," 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. 13(3), pages 1177-1185, December.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01571-4
    DOI: 10.1007/s13198-021-01571-4
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    References listed on IDEAS

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    1. Caiado, Rodrigo Goyannes Gusmão & Scavarda, Luiz Felipe & Gavião, Luiz Octávio & Ivson, Paulo & Nascimento, Daniel Luiz de Mattos & Garza-Reyes, Jose Arturo, 2021. "A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Som Sekhar Bhattacharyya & Debojit Maitra & Subhamay Deb, 2021. "Study of Adoption and Absorption of Emerging Technologies for Smart Supply Chain Management: A Dynamic Capabilities Perspective," International Journal of Applied Logistics (IJAL), IGI Global, vol. 11(2), pages 14-54, July.
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