Knowledge Management System Essay

Knowledge management was defined as the turning of information into actionable knowledge which can be accessed by people who can apply it. Robbins (2003) gives a time perspective in his definition of knowledge management. He mentions as part of knowledge management the distribution of the right information to the right people at the right time. Lytras et al (2002) gives a definition of knowledge management which emphasises the purpose of knowledge management. In the definition creation of new capabilities, enablement for superior performance, encouraging innovation and enhancement of customer value were mentioned. For the purpose of this study the researcher summarised knowledge management as the intentional process of coordinating people, technology and systems to optimise creation and sharing of intellectual

The superior capabilities of knowledge management systems provide an opportunity for the business to engage the most effective components and recognize the importance of communication to make informed, accurate decisions (McGrath, 2001). This system can organize the company’s knowledge resources, knowledge obtaining, organizing, and applying to make a sound routine the will enforce effectiveness (Niu, 2008). The dynamic function of knowledge management to create, capture, and apply knowledge to achieve an organization’s objective will allow them to be more profitable and successful (Zucker, 1986). In addition to increasing profits, the system can be also used to reduce costs and enhance research and development (DeTienne & Jackson, 2001). With all of these advantages, it would be wasteful for a company to not employ knowledge management. As seen in the Discovery Communications, Inc. example, the company can attribute their new productivity levels and increase in ease of securing documents to the knowledge management system that put into place by Carefree Technology. Like Discovery Communications, Inc., knowledge management is so popular today because companies can collect, process and share knowledge to ignite employees ' creativity which in turn will make the business grow. Wenhong and Jianhua (2009) explained the core of knowledge management is to convert company’s knowledge resources into an increased company

While Knowledge Management (KM) is important in any business however, there is no real agreed upon definition. KM is a concept that includes the

The problem for this dissertation study test the challenges associated with creating, capturing and sharing knowledge. Doda (2017) describes this method as knowledge management. This method uses a critical goal of improving learning and performance in an organizational framework. Knowledge management as theory and a model was improved by Dalkir in 2005 (Atieh & Somayeh, 2017).

Knowledge is described as an essential part of Knowledge Management. Baloh, Desouza, and Paquette (2011) saythat without having knowledge to manage, there would be no knowledge management.

With the benefit of hindsight, it is apparent that in the knowledge era, creating and leveraging knowledge is the business of business. By all available measures, the stock market is already providing handsome rewards to companies that successfully leverage their knowledge--a phenomenon that will almost surely grow in significance as knowledge-based organizations increase in size and number. A number of firms are anticipating this and looking to knowledge management to enhance, measure, and manage the knowledge of their employees and organizations more effectively.

Knowledge Management can make a significant difference between ongoing or successful ventures of any organization in a world of accelerating change. Knowledge Management provides the ability to connect and cooperate complex ideas efficiently and can be beneficial even to expand when using strategic alliances. To make Knowledge Management work in an

Call, D. (2005). Knowledge management - not rocket science. Journal of Knowledge Management. (April) p.19-30. [Online]. Available from: http://www.emeraldinsight.com.ezproxy.staffs.ac.uk/doi/abs/10.1108/13673270510590191 [Accessed: 20 November 2016].

A report has been written describing the knowledge management systems and reviewed based on various aspects which was used to determine whether or not the system considered could be used for managing knowledge. It was through researching journals, articles and other reliable sources from the internet this review was written which led to me finding out more on the topic of knowledge management which has considerably increased my understanding of the topic

The objective of this report is to make a comparison between two different approaches of knowledge management. The comparison will be talked about after applying the two approaches in the case study. This case study analyses the results of applying a new technology- Wiki based KMS on 6

Knowledge management often involves isolating and planning intellectual assets within an organization, producing new knowledge for competitive advantages within the organization, making vast amounts of corporate information accessible. Knowledge management can be hard to interpret or explain. How would a nurse or doctor define “health care” succinctly? How would a CEO explain “management”? Each of these areas is very complex, with many sub-areas of specialization. This in turn leads to the question “What is Knowledge Management Strategy & Metrics”?

"Knowledge management is the set of practices aimed at discovering and harnessing an organization 's intellectual resources. It 's about finding, unlocking, sharing, and altogether capitalizing on the most precious resources of an organization: people 's expertise, skills, wisdom, and relationships. Knowledge managers find these human assets, help people collaborate and learn, help people generate new ideas, and harness those ideas into successful innovations" (Bateman, 2004, p.8-9). One of the most important factors of change in management is the growing need for good, new ideas. Knowledge management is an approach that allows people to produce change. It 's bringing people together and collecting ideas from

Knowledge Management (KM) is described as a systematic process of sharing, reusing and managing the knowledge only when it is made available and recorded (Jashapara, 2005). This helps an organization to gain insight and understanding for own experience (Remus, 2012). Most of the KM activities

Knowledge management is critical to organizations. According to Gregory R. Wenig, knowledge management is consists of activities from its own experience and from the experience of others, and on the judicious application of that knowledge to fulfill the mission of the organization. In my point of view, I think that knowledge management is performed by organization to appropriately handle, distribute, and transfer assets of knowledge, experience, and ideas from individual

Knowledge Management as per NASA can also be defined as getting the right information at the right time without delay while helping people create knowledge and share and act upon information in ways that will measurably improve the performance of NASA and its partners. A DSS has been defined as an interactive and adaptable computer-based information system that supports non-structured management problems. Information systems have been linked with Knowledge Management systems to help in making more informed and scientific decisions. Knowledge Management can be described as a practice of capturing tacit knowledge and converting it into explicit knowledge through filtering, storing, retrieving and disseminating the same. Decision support through knowledge management emanates from intelligent DSS (primarily based on artificial intelligence and expert systems), and knowledge management and organizational learning. Knowledge management based DSS evolved from the study of intelligent DSSs, which was founded as an enhancement of personal DSSs through integration of theories from artificial intelligence and expert systems. Data warehouse is usually a driver and an important component for a Data-driven DSS. It is a copy of transaction data specifically structured for query and analysis and a component to store data for a Data-driven DSS. Vast amount of data is stored in databases and other semi-structured sources. They are then extracted from these homogeneous or heterogeneous