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
Type | Conference paper |
---|---|
Title | Knowledge-based management systems for the police force |
Authors | Olarinoye, 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 Theme | Creativity, Culture & Enterprise |
Conference | 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) |
Page range | 214-217 |
Proceedings Title | 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) |
ISBN | |
Electronic | 9781509007066 |
Paperback | 9781509007073 |
Publisher | IEEE |
Publication dates | |
Online | 10 Nov 2016 |
06 Aug 2016 | |
Publication process dates | |
Deposited | 28 Sep 2022 |
Accepted | 01 Jul 2016 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/EmergiTech.2016.7737341 |
Language | English |
https://repository.mdx.ac.uk/item/8q03z
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