The Influence of Technical, Social and Structural Factors on the Effective use of Information in a Policing Environment pp65-76
Throughout the world, police services are increasingly adopting a proactive, intelligence‑led approach to crime management. These services operate within environments characterized by firm hierarchy, the command and control paradigm and high social sensitivity. The implementation of strategies for the exploitation of knowledge and information within such environments reveals particular insights into organizational knowledge management. Understanding these issues may be of great value, particularly as despite the commitment to intelligence led policing, the outcomes to date have not met expectations. This paper proposes that social and political issues have the ability to influence knowledge management strategy by drawing upon Pan and Scarbrough's socio‑technical model to show the progression of the intelligence‑led policing philosophy over the past decade.
Due to an evolution of business models compatible with networked economy, office — environments of this age need effective support for collaboration among office workers. This article demonstrates that existing Extended Office Systems (EOS) are not specifically designed to maintain awareness and knowledge‑sharing requirements of the collaborating actors of many of today's networked office environments. Using an awareness framework for sharing of contextual knowledge in collaborative business processes, this article provides general design directives for a Collaboration‑ Aware EOS (CAEOS) system that facilitates sharing of the contextual knowledge among office workers in networked offices. In order to assess its effectiveness, this framework is applied to a network management case study with the aim of identifying the awareness requirements of the actors within that process. The results confirm effectiveness of the framework. The components of the framework, that is the process model and the awareness model, are then used as analytical tools as input to the design of CAEOS for achieving its collaborating goals. It is suggested that the process model component of the framework to constitute foundation for the knowledge‑base component of the CAEOS, whereas the awareness model of the framework to constitute foundation for the inference engine of the CAEOS'.
Keywords: awareness, extended office systems, EOS, collaboration support systems, knowledge sharing, knowledge representation, groupware, business intelligence
Business intelligence (BI) is a managerial concept and tool that is used to help organisations to manage busi‑ness information and to make effective decisions. Measurement of BI is generally considered an important issue but at the same time it is considered difficult to carry out in practice. There is also a lack of research on the topic. The paper describes the current knowledge regarding the measurement of BI and makes a contribution on the currently small amount of empirical knowledge on the topic. The research is implemented by means of a literature review and action research.
Volume 4 Issue 1 / Jan 2006 pp1‑90
Keywords: Active learning, Africa, Business intelligence, Case study, Cognitive diversity, CommonKADS], Communication, Complexity, Complexity representation , Complexity theory, Complexity thinking, Cross-functional teams, e-Commerce, Enterprise semantic web, First order reflection, Group dynamics, Human capital, Intellectual capital, Knowledge acquisition, Knowledge acquisition, Knowledge capital, Knowledge cooperation, Knowledge co-production, Knowledge creation, Knowledge flows, Knowledge learning, Knowledge sharing, Knowledge transfer, Knowledge transfer cycle, Lightweight ontologies, Organisational practices, Performance measurement, Predictive maintenance, Relational capital, Second order reflection, Semantic information retrieval, Semantic interoperability, Social networks, Social Software, Software development, Structural capital, Tourism, Value creation, Weblog, Wiki