DEVELOPING AN IT BASED SAFETY PERFORMANCE INDEX MEASUREMENT TOOL FOR MEASURING SAFETY CULTURE OF A COMPANY - A CASE STUDY TATA STEEL

  • Unique Paper ID: 193515
  • Volume: 12
  • Issue: 10
  • PageNo: 717-725
  • Abstract:
  • Safety culture is increasingly acknowledged as a pivotal determinant of organisational performance and sustainability, particularly within high-risk industries such as steel manufacturing. Traditional methods for measuring safety culture often rely on manual observations, periodic audits, and subjective assessments, which may not fully reflect real-time performance or underlying behavioural drivers. This research article explores the design and development of an IT-based Safety Performance Index (SPI) measurement tool tailored for steel manufacturing environments, using Tata Steel as a case study. The study proposes a comprehensive framework that integrates digital data collection, analytics, visualization, and predictive scoring to monitor, assess, and improve safety culture. By leveraging real-time data streams and advanced analytics, the proposed tool enhances decision-making, drives continuous safety improvement, and aligns organizational behaviors with strategic safety goals. Key findings demonstrate that the IT-based tool enables more accurate, dynamic, and actionable insights compared to conventional safety measurement approaches. The research contributes a practical model for industries aiming to advance safety culture through digital transformation.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{193515,
        author = {AGAM KUMAR and Dr Ritika Moolchandani and Dr Rajeev Kumar Sinha},
        title = {DEVELOPING AN IT BASED SAFETY PERFORMANCE INDEX MEASUREMENT TOOL FOR MEASURING SAFETY CULTURE OF A COMPANY - A CASE STUDY TATA STEEL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {717-725},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193515},
        abstract = {Safety culture is increasingly acknowledged as a pivotal determinant of organisational performance and sustainability, particularly within high-risk industries such as steel manufacturing. Traditional methods for measuring safety culture often rely on manual observations, periodic audits, and subjective assessments, which may not fully reflect real-time performance or underlying behavioural drivers. This research article explores the design and development of an IT-based Safety Performance Index (SPI) measurement tool tailored for steel manufacturing environments, using Tata Steel as a case study. The study proposes a comprehensive framework that integrates digital data collection, analytics, visualization, and predictive scoring to monitor, assess, and improve safety culture. By leveraging real-time data streams and advanced analytics, the proposed tool enhances decision-making, drives continuous safety improvement, and aligns organizational behaviors with strategic safety goals. Key findings demonstrate that the IT-based tool enables more accurate, dynamic, and actionable insights compared to conventional safety measurement approaches. The research contributes a practical model for industries aiming to advance safety culture through digital transformation.},
        keywords = {Safety Culture, IT-based measurement tool, Safety Performance Index, Tata Steel, digital analytics, occupational safety.},
        month = {March},
        }

Cite This Article

KUMAR, A., & Moolchandani, D. R., & Sinha, D. R. K. (2026). DEVELOPING AN IT BASED SAFETY PERFORMANCE INDEX MEASUREMENT TOOL FOR MEASURING SAFETY CULTURE OF A COMPANY - A CASE STUDY TATA STEEL. International Journal of Innovative Research in Technology (IJIRT), 12(10), 717–725.

Related Articles