Knowledge Management: First of all we will define Knowledge, Knowledge is the combination of data information and data, to which is added experience, skills and expert opinion, to result in a valuable asset which can be used to aid decision making. Knowledge may be explicit and or tacit individual and or collective.
According to Lynch (2011), knowledge is known as a resource of the organization which has to be analyzed. The exploration of knowledge, helped in the creation of new knowledge, which opens up new opportunities for the organization. Knowledge does not only include data and information. It includes recorded information messages and discrete, observable facts about events that occur in an organization.
The position of knowledge management traffic cop is key to the rate at which an organization is able to learn. A single repository for the assembly and deployment of tools and applications is critical to the success of a KM program. Levinson also warns that KM is not just about a web portal, collaborative data base, or other electronic tools. It’s about Social Network Analysis (SNA) – how does knowledge thread its way through an organization, and does everyone speak the same language. Social Network Analysis is a diagnostic method for collecting and analyzing data about the patterns of relationships among people in groups. Applied to knowledge management, SNA can identify patterns of interaction in an enterprise, including its properties, such as the average number of links between people in an organization, the number and qualities of subgroups, information bottlenecks and knowledge brokers. SNA provides a view into the network of relationships that gives knowledge managers leverage to:
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. Agent-based modeling is a new analytical method for the social sciences, but one that is quickly becoming popular. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use
A knowledge is defined as a valuable intangible resource that need to be managed properly in order for an organization to gain advantage over their competitors, Birkinshaw and Sheehan (2002); Zyngier (2006). Knowledge transfer emphasized as “the movement of knowledge within the organization, it is a distinct experience not a gradual process of dissemination, and depends on the characteristics of everyone involve”, Szulanski (1996).
The concepts of knowledge and management have been around for a while. However, the combination of “knowledge management” is quite contemporary (Alvesson, 2001). It is widely accepted that knowledge is the most valuable resources in the modern organizations. Therefore, the sharing of knowledge in organizations is regarded as a significant way of making knowledge play a greater role in organizations. As a result, the capabilities to capture knowledge and manage knowledge have gained a great amount of attention gradually (Geiger, 2012). Accordingly, the occurrence of modern communication technologies, such as internet, intranet, e-mail and the world-wide web, allows for real-time interaction despite the physical distance, laying the foundation for the rapid development of KM (Hanson, 1999).
Knowledge management defines the current use of the terms and identifies the core concept of managing knowledge in an organization (Atwood, 2009). The goal of Knowledge Management (KM) initiative is to improve the collective intelligence, or collective mind of the organizations and the resulting systematic coordination of knowledge ensures that the organization meets the customers’ needs (Quinn 1992, as cited in Maier 2004). According to the case study Langley Files, the company analyzed is the Central Intelligence Agency (CIA). The
In multi agent systems, there are four basic elements that collaborate to build the design of the system. The first element is agents, which composes of group of autonomous agents that are considered the first and main part of the internal structure of the MAS design (Manzoni, 2009). Those agents are different in their numbers, method of response, smartness, dealing with problems, and internal architecture in general. Since agents are necessary to interact and cooperate with each other to find a solution for common tasks or uncommon tasks as well, by communicating via special messages that can arrive at any time. Hence, every one of these agents must be based on particular information in regarding of its actions and making decisions (Wooldrige, 2009).
Knowledge management (KM) is the name given to the set of systematic and regimented actions that an organization can take to attain the maximum value from the knowledge available to it. Effective knowledge management normally requires a proper amalgamation of organizational, social, and managerial initiatives along with exploitation of apposite technology.
Knowledge management has been developed in priority and increased popularity as a research topic from the era of 20Th century. There was enough term for many organizations to introduce KM methods and KM systems. Computing and information systems of an organization are used as a base for implementing knowledge based management systems.KM features mainly on knowledge development, inquisition, refinement, utilization and storage. Knowledge management systems commonly involve the use of databases in the current 21st century and many challenges involve directly related, mixed activities that pursue laws of life and social sciences that affirm science with engineering. The models of knowledge management
Knowledge management and information is the process of capturing, developing, sharing, and effectively using organizational knowledge.It refers to a multi-disciplinary approach to achieving organizational objectives by making the best use of knowledge. It includes the fields of business administration, information systems, management, library, and information sciences. Other fields may contribute to research, including information and media, computer science, public health, and public policy. Many large companies, public institutions, and non-profit organizations have resources dedicated to its efforts, often as a part of their business strategy, information technology, or human resource management departments.Several consulting companies provide advice regarding knowledge management to these organizations.
A multi-agent based system is a powerful modeling technique for simulating individual interactions in a dynamic system and is distinctive in its ability to simulate situations with unpredictable behavior
“Knowledge sharing means transfer, dissemination, and exchange of knowledge, experience, skills, and valuable information from one individual to other members within an organization”.
CE.2.2.4. At the initial stage, I asked my team to give their opinions about the tasks and also what were their technical strengths. I needed to know this to ensure we allocated tasks appropriately in order to finish the task on time. After several discussion for ideas contribution