1. Introduction This report looks at the use of Knowledge Management (KM) and Innovation as a strategy in an organisation and how organisations have adopted the concept and principles behind the Knowledge Management theory and implementing them into the organisation to measure the successful delivery of the strategy. KM is a discipline that promotes an integrated approach for identification, capture, retrieval, distribution, sharing, use and reuse of information and knowledge assets. Through this discipline, staff, processes and technologies will be aligned to drive the realisable value and benefits of the information provided and knowledge assets and contribute to the organisational efficiency, effectiveness and innovation. Despite the continuing interest among researchers and practitioners on KM, however, KM still remains a mystic to senior executives in an organisation filled with obscure terminologies and often, treated as a marginal periphery. One of the earliest pioneers of KM back in 1991 was Ikujiro Nonaka, whom argued that the superior performance of Japanese companies in the past can be attributed to their ability to transform, transfer and re-use tacit knowledge from one individual to another individual within the firm. However, in order to argue there are two types of knowledge: explicit and tacit. The idea of transforming tacit knowledge into explicit knowledge through a designation process became expeditiously popular over the past few years. With the
According to Davenport et al (1998), Knowledge Management is concerned with exploitation and development of knowledge asset of the organization with a view of the objective of the organization. Knowledge can be managed by explicit, documented knowledge, tacit and subjective knowledge. It also associated with knowledge creation as well as knowledge sharing. Thus, requires systems for creation and maintenance of knowledge repositories to cultivate and to aid knowledge sharing. Organizations that succeed in knowledge management are likely to view knowledge as an asset and to develop organization culture which support knowledge creation and knowledge sharing. Jennifer Rowley (1999) describes the implementation of knowledge management has the importance consequences for structure and culture of the organization, and the roles of managers as well as workers. We can say that knowledge management implementation is crucial as it will lead an organization to be at competitive advantages. There are two types of knowledge mainly explicit knowledge and tacit knowledge. Different people convey their knowledge differently. The philosopher Polanyi (1967) described tacit knowledge as knowing more than we can tell, or knowing how to do something without thinking about it, like ride a bicycle. Tacit knowledge is automatic, requires little or no time or thought and helps to determine how organizations make decision and influence the behavior of their member (Liebowitz and Beckman, 1998). Sternberg (1997) states that tacit knowledge is technical or cognitive as it made up of mental models, values, beliefs, perceptions, insights and assumptions. Technical tacit knowledge demonstrated when people master particular knowledge or skills whereas cognitive tacit knowledge include implicit mental models and perceptions that are ingrained they are taken for granted. Tacit knowledge basically is the “know-how” based on practice, experience and seldom expressed
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).
KM is the set of procedures that tries to transform an organization's current practices of knowledge processing is known as Knowledge Management. It improves both the practice of knowledge processing and its outcomes in a significant manner.
Knowledge can refer to a theoretical or practical understanding of a subject. It can be tacit (as with practical skill or expertise) or explicit (as with the theoretical understanding of a subject); it can be more or less formal or systematic. Botha et al (2008) pointed out that tacit and explicit knowledge should be seen as a spectrum rather than as definitive points. Therefore, in practice, all knowledge is a mixture of tacit and explicit elements rather than being one or the other. The most important distinction within KM is between explicit and tacit knowledge. The overload of data is making knowledge management increasingly more important as it facilitates decision-making capabilities; builds learning organizations by making learning routine, and stimulates cultural change and innovation.
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”?
A technologic approach to Knowledge Management has a much higher initial cost, is inherently more scalable, and can handle a much greater transaction volume than an unassisted knowledge worker. Technology in support of Knowledge Management isn’t necessary or even optimal in every instance. Technologies supportive of Knowledge Management can be applied successfully to organizations of any size; extensive investments in technology are generally practical only in medium-size to large companies. Perhaps the most significant way technology enables the KM process is that it can provide virtual meeting space for communities of practice.
Abstract - knowledge management is a discipline that seeks to improve the performance of individuals and organizations by maintaining and influencing the present and future value of knowledge resources. It is an amalgamation of plentiful endeavors and fields of study. This paper provides a framework for distinguishing the various tools like methods, practices and technologies available to knowledge management practitioners. It includes a summary of a number of key terms and concepts, illustrates the framework, imparting examples of how to use it and searching a variety of prospective areas.
"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
Organisational learning can be seen as the goal of knowledge management and may be obtained by good knowledge management strategies and processes. By motivating the creation, dissemination and application of knowledge, KM initiatives pay off by helping the organization embed knowledge into organisational processes so that it can continuously improve its practices and behaviours and pursue the achievement of its goals.
Knowledge management has become a heated research topic in the past decades. As one of the earliest scholars dedicated in the study of KM, Wiig (1997) proposed that the objectives of KM is “to maximize an enterprise’s knowledge-related effectiveness and returns from knowledge assets” through “systematic, explicit and deliberate building, renewal and application of knowledge” (p. 2). Taking up a more process-oriented approach, Rastogi (2000) suggested that KM is “a systematic and integrative process of coordinating organization-wide activities of acquiring, creating, storing, sharing, diffusing, developing, and deploying knowledge by individuals and groups in pursuit of major organizational goals”.
The purpose of this project is to review Knowledge Management with aim of finding out how small and Medium Enterprises stand to benefit from Knowledge Management being adopted as a strategy and propose a viable framework for implementation of the knowledge management by SME’s in Kenya.
KM is defined as the set of organized and regimented actions that can be taken to attain the maximum value from the knowledge available to it by an organization. A proper combination of organizational, social and
KM is defined as the set of organized and regimented actions that can be taken to attain the maximum value from the knowledge available to it by an organization. A proper combination of organizational, social and administration motivation along with exploitation of apposite technology is required by knowledge management. Gathering, classify, store and spread all knowledge which the organization needs to both develop and progress is the idea of KM. To leverage and reuse knowledge resources that previously supply in the organization. As a result people will create best practices rather than reinvent the wheel KM deals with two types of knowledge, tacit and explicit as reported by Huergo (2006) and Jennex (2005).
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