Design and Implementation of an IIoT Driven Information System: A Case Study
Shivam Gupta (),
Sachin Modgil (),
Bharat Bhushan (),
Uthayasankar Sivarajah () and
Santanu Banerjee ()
Additional contact information
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
Information Systems Frontiers, 2025, vol. 27, issue 2, No 8, 523-537
Abstract:
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.
Keywords: Information systems; Architecture; IIoT; Industry 4.0; Decision support; Digital transformation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10796-023-10451-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:27:y:2025:i:2:d:10.1007_s10796-023-10451-0
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796
DOI: 10.1007/s10796-023-10451-0
Access Statistics for this article
Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao
More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().