The Effect of Big Data Analytics on Predictive Policing Through Crisis Management: A Proposed Framework

International Journal of Business Society, Vol. 8, Issue 5
Ibrahim Abdulla Mohammad Aldallal AlkhazrajiDr. Mohd Yamani bin Yahya
Big data Analyticspredictive policingcrisis managementA proposed framework
PDFRegular IssueDOI: 10.30566/ijo-bs/2024.05.128
8Volume
5Issue

Abstract

Crisis’s have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process, and analyze big data), our ability to respond to crisis is at an inflection point. There is great optimism that big data tools can be leveraged to process large amounts of crisis-related data to provide an insight into the fast-changing situation and help drive an effective disaster response and predictive policing. Predictive analytics and artificial intelligence are applied widely across law enforcement agencies and the criminal justice system. Understanding how the “big data analytics” discourse is operationalized as a series of technical fixes that rely on the production of indeterminacies allows for a more nuanced critique of predictive policing. This paper introduces the effect of big data analytics on predictive policing through crisis management.

References

[1]

Abdul Samee, M., and Tayyibah, A. (2010). Strategic management in crisis management. Jordan: Dar Jalis Al- Zaman for Publishing and Distribution.

[2]

Agrawal, A., and Choudhary, A. (2016). Perspective: materials informatics and big data: realization of the fourth paradigm of science in materials science. Appl Mater 4(5).

[3]

Alexander, B., and Marion, O. (2020). Data Analytics and Algorithms in Policing in England and Wales: Towards A New Policy Framework. Royal United Services Institute.

[4]

Alkatheeri, Y., Ameen, A., Isaac, O., Nusari, M., Duraisamy, B. and Khalifa, G. (2019). The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organizations. In 978-981-13-9364-8_18.

[5]

AL-Ma’aitah, M. A. (2020). Utilizing of big data and predictive analytics capability in crisis management. J. Comput. Sci, 16(3) , 295 -304.

[6]

Almazrooei, K. K. F. K., bin Othman, M. F., and Siam, M. R. (2021). Influencing of collaboration and communication with community besides interaction of government intervention to improve the police innovative services in Dubai. International Journal of Entrepreneurship, 25, 1-13.

[7]

Alosani, M. S., Yusoff, R. Z., Al -Ansi, A. A., and Al -Dhaafri, H. S. (2020). The mediating role of innovation culture on the relationship between Six Sigma and organisational performance in Dubai police force. International Journal of Lean Six Sigma.

[8]

Alshamsi, S., Isaac, O. (2019). The effects of intellectual capital on organizational innovation within Abu Dhabi police in UAE. International Journal on Emerging Technologies, 10(1), 50-58.

[9]

Amira, A. (2019). Dubai records 99.5% drop in unresolved, disturbing crimes. Khaleej Times (Wed 6 Mar 2019).

[10]

Aruni, Yasmin. (2018). Big Data Analytics in Law Enforcement Case Study: LASER Predictive Policing Program in Los Angeles.

Article Information

Article Details
Volume & IssueVol. 8, Iss. 5
Publication DateMay 31, 2024
Authors
Ibrahim Abdulla Mohammad Aldallal Alkhazraji
Dr. Mohd Yamani bin Yahya
DOI
10.30566/ijo-bs/2024.05.128
PDF Download
The Effect of Big Data Analytics on Predictive Policing Through Crisis Management: A Proposed Framework | International Journal of Business Society