Enhancing Workplace Safety Culture in the Telecom Industry: A Data Driven Approach Using Deep Learning Models

Authors

  • Prince Kumar,Nausherwan Raunaque

Keywords:

Workplace Safety, Telecom Industry, Safety Culture, Convolutional Neural Network, Support Vector Machine, Predictive Modelling, Employee Perceptions, Data-Driven Approach, Safety Training, Risk Management

Abstract

This research investigates the workplace safety culture within the telecommunications industry, with a focus on the Patna and Muzaffarpur districts of India. As the industry experiences rapid growth, ensuring employee safety during high-risk activities such as infrastructure maintenance and field operations becomes increasingly critical. This study employs a mixed-methods approach, utilizing both qualitative and quantitative data collected from employee questionnaires to assess current safety practices and perceptions.

References

Smith, J., & White, R. (2018). "Safety culture in remote work environments: Case studies in the telecom sector." Journal of Safety Research, 67, 104-112.

Jones, L. (2017). "Leadership and safety culture: A study of the telecommunications industry." International Journal of Occupational Safety and Ergonomics, 23(4), 415-423.

Patel, R., Kumar, N., & Malik, S. (2019). "Impact of comprehensive safety training on telecom industry accident rates." Safety Science, 118, 78-84.

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Published

2023-12-05

How to Cite

Prince Kumar,Nausherwan Raunaque. (2023). Enhancing Workplace Safety Culture in the Telecom Industry: A Data Driven Approach Using Deep Learning Models . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1015–1037. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2078

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Section

Articles