Knowledge-based management systems for the police force

Conference paper

Olarinoye, O., Seeam, P., Bellekens, X. and Seeam, A. 2016. Knowledge-based management systems for the police force. 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech). Balaclava, Mauritius 03 - 06 Aug 2016 IEEE. pp. 214-217 https://doi.org/10.1109/EmergiTech.2016.7737341
TypeConference paper
TitleKnowledge-based management systems for the police force
AuthorsOlarinoye, O., Seeam, P., Bellekens, X. and Seeam, A.
Abstract

Knowledge-Based Management Systems enable new ways to process and analyse knowledge to gain better insights to solve a problem and aid in decision making. In the police force such systems provide a solution for enhancing operations and improving client administration in terms of knowledge management. The main objectives of every police officer is to ensure the security of life and property, promote lawfulness, and avert and distinguish wrongdoing. The administration of knowledge and information is an essential part of policing, and the police ought to be proactive in directing both explicit and implicit knowledge, whilst adding to their abilities in knowledge sharing. In this paper the potential for a knowledge based system for the Mauritius police was analysed, and recommendations were also made, based on requirements captured from interviews with several long standing officers, and surveying of previous works in the area.

Middlesex University ThemeCreativity, Culture & Enterprise
Conference2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)
Page range214-217
Proceedings Title2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)
ISBN
Electronic9781509007066
Paperback9781509007073
PublisherIEEE
Publication dates
Online10 Nov 2016
Print06 Aug 2016
Publication process dates
Deposited28 Sep 2022
Accepted01 Jul 2016
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/EmergiTech.2016.7737341
LanguageEnglish
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