Staff View: Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study

Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study

Objective: The study seeks to develop an integrated framework for enhancing risk management and crisis management in policing through the utilization of big data analytics, using the Dubai police force as a case study. Theoretical Framework: This research is grounded in the intersection of big dat...

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Main Authors:	Mohammed Amin Albastaki, Ahmad Aqil, Manap, Norpadzlihatun
Format:	Article
Language:	English
Published:	RGSA 2024
Subjects:	HV Social pathology. Social and public welfare
Online Access:	http://eprints.uthm.edu.my/12399/1/J17862_fc337282ea1d474d7283f4c8cc3593c3.pdf http://eprints.uthm.edu.my/12399/ https://doi.org/10.24857/rgsa.v18n2-120
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id	my.uthm.eprints.12399
record_format	eprints
spelling	my.uthm.eprints.123992025-02-21T08:04:52Z http://eprints.uthm.edu.my/12399/ Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study Mohammed Amin Albastaki, Ahmad Aqil Manap, Norpadzlihatun HV Social pathology. Social and public welfare Objective: The study seeks to develop an integrated framework for enhancing risk management and crisis management in policing through the utilization of big data analytics, using the Dubai police force as a case study. Theoretical Framework: This research is grounded in the intersection of big data analytics and risk management within the field of policing, focusing on how data-driven approaches can innovate and improve security crisis management. Method: Data for the study was collected via questionnaires distributed to 450 police officers across all departments in Dubai. The analysis was conducted using AMOS software within a Structural Equation Modeling framework to assess the impact of big data analytics on police risk and crisis management. Results and Discussion: The results indicate that big data analytics significantly enhances risk management and crisis management in policing. It was found that police risk management serves as a mediating factor between big data analytics and security crisis management. These findings suggest that the application of big data can substantially improve knowledge and operational performance in police organizations. Research Implications: The study emphasizes the crucial role of big data analytics in revolutionizing police risk and crisis management processes. It highlights the potential for these technologies to provide substantial improvements in the efficiency and effectiveness of police operations. Originality/Value: This research is valuable as it provides empirical evidence of the benefits of big data analytics in the context of policing. It offers practical guidelines to police departments, particularly within the UAE, on leveraging big data to enhance their operational performance in managing risks and crises. The study contributes to the broader understanding of integrating advanced data analytics into public safety and emergency response strategies. RGSA 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12399/1/J17862_fc337282ea1d474d7283f4c8cc3593c3.pdf Mohammed Amin Albastaki, Ahmad Aqil and Manap, Norpadzlihatun (2024) Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study. Interinstitutional Scientific Committee, 18 (2). pp. 1-36. https://doi.org/10.24857/rgsa.v18n2-120
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	HV Social pathology. Social and public welfare
spellingShingle	HV Social pathology. Social and public welfare Mohammed Amin Albastaki, Ahmad Aqil Manap, Norpadzlihatun Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
description	Objective: The study seeks to develop an integrated framework for enhancing risk management and crisis management in policing through the utilization of big data analytics, using the Dubai police force as a case study. Theoretical Framework: This research is grounded in the intersection of big data analytics and risk management within the field of policing, focusing on how data-driven approaches can innovate and improve security crisis management. Method: Data for the study was collected via questionnaires distributed to 450 police officers across all departments in Dubai. The analysis was conducted using AMOS software within a Structural Equation Modeling framework to assess the impact of big data analytics on police risk and crisis management. Results and Discussion: The results indicate that big data analytics significantly enhances risk management and crisis management in policing. It was found that police risk management serves as a mediating factor between big data analytics and security crisis management. These findings suggest that the application of big data can substantially improve knowledge and operational performance in police organizations. Research Implications: The study emphasizes the crucial role of big data analytics in revolutionizing police risk and crisis management processes. It highlights the potential for these technologies to provide substantial improvements in the efficiency and effectiveness of police operations. Originality/Value: This research is valuable as it provides empirical evidence of the benefits of big data analytics in the context of policing. It offers practical guidelines to police departments, particularly within the UAE, on leveraging big data to enhance their operational performance in managing risks and crises. The study contributes to the broader understanding of integrating advanced data analytics into public safety and emergency response strategies.
format	Article
author	Mohammed Amin Albastaki, Ahmad Aqil Manap, Norpadzlihatun
author_facet	Mohammed Amin Albastaki, Ahmad Aqil Manap, Norpadzlihatun
author_sort	Mohammed Amin Albastaki, Ahmad Aqil
title	Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
title_short	Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
title_full	Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
title_fullStr	Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
title_full_unstemmed	Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study
title_sort	developing an integrated framework for risk management in policing: crisis management using big data analytics as a case study
publisher	RGSA
publishDate	2024
url	http://eprints.uthm.edu.my/12399/1/J17862_fc337282ea1d474d7283f4c8cc3593c3.pdf http://eprints.uthm.edu.my/12399/ https://doi.org/10.24857/rgsa.v18n2-120
_version_	1825163110945652736
score	13.239859

Developing An Integrated Framework For Risk Management In Policing: Crisis Management Using Big Data Analytics As A Case Study

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