IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v27y2025i2d10.1007_s10796-023-10451-0.html
   My bibliography  Save this article

Design and Implementation of an IIoT Driven Information System: A Case Study

Author

Listed:
  • Shivam Gupta

    (NEOMA Business School)

  • Sachin Modgil

    (International Management Institute Kolkata)

  • Bharat Bhushan

    (Tata Metaliks Limited)

  • Uthayasankar Sivarajah

    (University of Bradford)

  • Santanu Banerjee

    (Tata Metaliks Limited)

Abstract

Information systems are critical for companies since they offer quick and easy access to complex and significant data in a structured manner to make informed and effective business decisions. Hence, the objective of this study is to conceptualize and implement an innovative information system in the case study organization. The study identified the requirements for Organizing Vision Theory (OVT) and developed architecture based on Organizational Information Processing Theory (OIPT). This architecture is designed and developed using the Industrial Internet of Things (IIoT) to support a self-organizing vision and enhanced information processing. The study’s contribution lies in developing and executing an integrative architecture of IIoT-driven information systems from the lenses of OVT and OIPT. Further, this study contributes by mapping OVT elements (such as transparency, continuity, and coherence) and OIPT elements (information processing needs and capabilities) to drive value and knowledge through a robust architecture of IIoT-driven information systems. The study also highlights the contribution of IIoT-based information systems to a new knowledge system, facilitating better decision-making by professionals.

Suggested Citation

  • Shivam Gupta & Sachin Modgil & Bharat Bhushan & Uthayasankar Sivarajah & Santanu Banerjee, 2025. "Design and Implementation of an IIoT Driven Information System: A Case Study," Information Systems Frontiers, Springer, vol. 27(2), pages 523-537, April.
    • Handle: RePEc:spr:infosf:v:27:y:2025:i:2:d:10.1007_s10796-023-10451-0
    DOI: 10.1007/s10796-023-10451-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-023-10451-0
    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/s10796-023-10451-0?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.

    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:infosf:v:27:y:2025:i:2:d:10.1007_s10796-023-10451-0. 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: 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.