In general, the intelligence community operates as a community of shared practice, where all of the members of the network share common functions and areas of expertise, and where the effective pooling of resources could yield to more effective as well as more efficient results (Goldsmith & Kettl 2009). Determining the most effective governance structure for the intelligence community necessitates taking this community structure into account (Goldsmith & Kettl 2009). Other considerations that influence effective network governance include the specific functions and desired outputs of this network and the level of trust that exists between the various network nodes, the size of the network, the clarity and consensus of the goals that the network is working towards, and the nature of the tasks necessary to reach these stated goals (Provan & Kenis...
The more formal and rigid a network gets, the harder it becomes to get things done within that organization; the hierarchy and certain trust issues that exist in the intelligence community could prove difficult in establishing greater network governance. With proper foundational research, however, effective governance can be achieved.
Network Security: Past, Present and Future The work of Curtin (2007) states that a network is defined as "any set of interlinking lines resembling a net, a network of roads -- an interconnected system, a network of alliances." Quite simply a computer network is a system of computers that are interconnected. There are seven layers of communication types identified by the International Standards Organization (ISO) Open Systems Interconnect (OSI) Reference Model
police adopted intelligence-Led policing? What are the problems associated with its implementations? Over time, policing methods have advanced, with the most recent strategy in improving response time of police being intelligence-led policing (or ILP). ILP is still in its initial developmental stages, is still not wholly understood, and has not yet been adopted by all agencies (Taylor, Kowalyk and Boba 2007). Studying police managers' views and attitudes can help recognize
Business Intelligence What SAP didn't tell you about creating and using business intelligence, and why Creating value through the use of information systems to gain critical insights into how a business is functioning, meeting the needs of customers or not, coordinating with suppliers and managing costs is one of the greatest values of Business intelligence (BI) systems. Intuitively, BI and analytics are seen as a means to significantly reduce risk while increasing
Transformative Artificial Intelligence and Digital Government Innovation for Public Sector Performance Management1.1 Background of the Research1.1.1 Overview of the ProblemTransformative artificial intelligence (AI) and digital government innovations are increasingly becoming central to enhancing public sector performance management across the globe (Newman et al., 2022). This shift towards digitalization relies on the potential of AI to streamline processes, act with transparency, and increase engagement between citizens and government institutions (Latupeirissa et
Metrics, Implementation, and Enforcement (Security Governance) How can you determine whether there has been a malware outbreak? The threat situation today has become more dangerous than in the past. Security and safety threats have been increasing in an alarming rate; there are more than 70,000 brand new bits of malware recognized daily. Well-funded cybercriminals have been currently making advanced malware that has been made to bypass present security options by launching prior
AI and Autonomous Vehicles in the Transportation IndustryAbstractThe integration of Artificial Intelligence (AI) and autonomous vehicles (AVs) within the transportation industry has the potential to improve safety for passengers, improve operational efficiency for transporters, and improve sustainability for all stakeholders. This paper provides an exploratory review of recent developments in AI-driven autonomy in transport systems. It looks specifically at applications such as traffic optimization, last-mile delivery, and smart infrastructure. It
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