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IoT Modeling for Digital Enterprises and Decision Analysis: A Descriptive Presentation

Author

Listed:
  • Madalina Cuc

    (“Mihai Viteazul” National Information Academy, Romania)

  • Anca Gabriela Petrescu

    (Valahia University of Targoviste, Romania)

Abstract

Shaping IoT for digital enterprises involves integrating smart devices into business processes to achieve operational efficiencies and drive innovation. The importance of IoT modeling in enterprise decision-making cannot be overstated as it enables companies to identify potential problems, optimize processes, and make informed decisions based on data-driven insights. This paper provides a descriptive overview of IoT modeling for digital enterprises and how decision analysis can be improved by using data generated by IoT.

Suggested Citation

  • Madalina Cuc & Anca Gabriela Petrescu, 2024. "IoT Modeling for Digital Enterprises and Decision Analysis: A Descriptive Presentation," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 15(1), pages 1-8, January.
    • Handle: RePEc:igg:jide00:v:15:y:2024:i:1:p:1-8
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    References listed on IDEAS

    as
    1. Larson, Deanne & Chang, Victor, 2016. "A review and future direction of agile, business intelligence, analytics and data science," International Journal of Information Management, Elsevier, vol. 36(5), pages 700-710.
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