Enhancing Police Effectiveness in Punjab: Integrating Training and Capacity Building Initiatives for Sustainable Impact
Year: 2025
Type: article
Study design: Observational Study
Abstract: Effective policing is a cornerstone of law and order, playing a vital role in maintaining public safety, social stability, and upholding justice. In Punjab, Pakistan, law enforcement agencies face numerous challenges that impede their operational effectiveness. This empirical study examines the police role in Punjab, integrating data-driven insights into training programs and capacity-building initiatives. Using a mixed-methods approach, this research combines quantitative survey analysis of police officers from various ranks with qualitative interviews. The findings identify key operational challenges, including inadequate training, resource constraints, weak accountability mechanisms, and public mistrust, which hinder law enforcement efficiency. The results indicate that evidence-based training enhances opportunities for police development, and robust community engagement programs are essential for improving law enforcement efficiency. Notably, 65% of officers received formal training in the past two years, but 30% found it ineffective, highlighting gaps in curriculum design and practical implementation. Furthermore, only 15% of officers consistently apply research-based strategies, emphasizing the need to integrate predictive analytics and modern investigative techniques into routine policing. This study concludes with policy recommendations, advocating for the modernization of training programs, integration of empirical research, and adoption of technology-driven policing solutions to enhance police effectiveness, accountability, and public trust.
Authors: Muhammad Aslam Sager, Muhammad Arshad, Takeel Ahmed, Syed Sajid Abbas, Muhammad Saeed Khan
Institutions: University of the Punjab, Minhaj University Lahore
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411185367
