Enhancing Fire Licensing Services Through Outsourcing: A Structural Equation Modeling Analysis Of Delhi Fire Services

Abstract

The current study is an investigation into the outsourcing of fire licensing services in context to the Delhi Fire Services framework using structural equation modeling (SEM) and partial least squares (PLS) methodologies. The research answers three key questions: the reasons behind the choice to outsource licensing, implications for timeliness of service delivery, and stakeholders' perspectives. Based on data collected from different retailers, fire service officials, outsource providers, and end-users, the study aims at understanding the benefits and challenges of an outsourced approach. The main specific findings are that cost efficiency, improved service delivery, and accountability all affect the decision whether to outsource. The findings will help policymakers and fire service administrators devise better operational strategies for improving public safety in Delhi. Additionally, emerging technologies such as machine learning-driven application processing and blockchain-based secure record management can further enhance the efficiency and reliability of outsourced fire licensing services.