IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id929.html

Legacy System Modernization: Strategic Imperatives and Transformation Metrics in Digital Evolution

Author

Listed:
  • Sasidhar Reddy Somula

Abstract

Legacy system modernization has emerged as a critical imperative in today's digital transformation landscape, presenting organizations with complex challenges that span technical, operational, and human dimensions. This article examines the multifaceted aspects of legacy modernization, focusing on strategic approaches, performance considerations, and implementation methodologies. The article explores how organizations can effectively balance the preservation of critical system reliability with the introduction of modern capabilities such as cloud computing, artificial intelligence, and advanced analytics. Through analysis of European public administration cases and industry research, this article investigates the interplay between technical architecture, user experience, change management, and value delivery. The article demonstrates that successful modernization initiatives require a carefully orchestrated approach that combines phased implementation strategies, comprehensive stakeholder management, and innovative technology integration. This article provides insights into effective modernization frameworks, highlighting the importance of balancing immediate operational needs with long-term strategic objectives while maintaining system stability throughout the transformation journey.

Suggested Citation

  • Sasidhar Reddy Somula, 2025. "Legacy System Modernization: Strategic Imperatives and Transformation Metrics in Digital Evolution," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 2597-2606, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:929
    DOI: 10.32628/CSEIT251112278
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112278
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT251112278
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT251112278/CSEIT251112278
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT251112278?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jbh:ijsrcs:v11:y2025:i1:id:929. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.