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An Optimizing Business Process: A Comprehensive Analysis of Amazon Inc.’s Information Architecture

Author

Listed:
  • Mujiba Shaima

    (Monroe College, USA)

  • Estak Ahmed

    (Monroe College, USA)

  • Md Nasir Uddin Rana

    (Monroe College, USA)

  • Md Tanvir Islam

    (Monroe College, USA)

Abstract

This analysis studies Amazon Inc.’s information system design in detail using context, use cases, test cases, class, and sequence diagrams. Our research aims to improve business processes by better understanding the system’s interactions, functionality, and data structure. The representation of data structure and entity relationships in class diagrams provides insights into the system’s component organization. Sequence diagrams also provide a clear picture of the sequential interactions between system elements, showing potential bottlenecks and optimization opportunities. It provides unique insights into Amazon’s approaches to keeping a competitive edge in the e-commerce industry, and it may be used as a resource for firms looking to improve their own information systems and procedures.

Suggested Citation

  • Mujiba Shaima & Estak Ahmed & Md Nasir Uddin Rana & Md Tanvir Islam, 2024. "An Optimizing Business Process: A Comprehensive Analysis of Amazon Inc.’s Information Architecture," European Journal of Engineering and Technology Research, European Open Science, vol. 9(1), pages 47-58, January.
    • Handle: RePEc:epw:ejeng0:v:9:y:2024:i:1:id:63097
    DOI: 10.24018/ejeng.2024.9.1.3097
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