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

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.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-06-02
DOI
https://doi.org/10.64252/fts6a593
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Atul Garg, Prof Amarjeet Kaur, Priyanka Kumari
International Journal of Environmental Sciences
Facility Location and Emergency Management
article

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

Atul Garg, Prof Amarjeet Kaur, Priyanka Kumari
article en

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.

International Journal of Environmental SciencesVol. 11(7s)
Openalex Percentile: Top 82%
Facility Location and Emergency Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Fire Licensing Services Through Outsourcing: A Structural Equation Modeling Analysis Of Delhi Fire Services — Atul Garg, Prof Amarjeet Kaur, et al. · International Journal of Environmental Sciences (2025) | TGRS Research Map | TGRS