Search (3 results, page 1 of 1)

0.0016959244 = product of:
  0.0033918489 = sum of:
    0.0033918489 = product of:
      0.0067836978 = sum of:
        0.0067836978 = weight(_text_:a in 3832) [ClassicSimilarity], result of:
          0.0067836978 = score(doc=3832,freq=12.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.15602624 = fieldWeight in 3832, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3832)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Knowledge management (KM) is defined as a deliberate and systematic coordination of an organization's people, technology, processes, and organizational structure in order to add value through reuse and innovation. There is a lack of consensus on clearly defining KM partly due to the multidisciplinary origins of the concept, ranging from organizational science, to cognitive science, to library and information science. Core management concepts include the notion of difficult-to-articulate tacit knowledge, documented tangible or explicit knowledge, organizational learning as encapsulated in the form of best practices (successes) and lessons learned (failures), and preservation of this content in an organizational memory system. The knowledge processing life cycle then consists of creating new knowledge, capturing existing knowledge, contributing knowledge for reuse by others, documenting knowledge, reconstructing, refining, and sharing knowledge as well as continually evaluating the value of each knowledge resource in order to decide whether to keep it in circulation or to retire it from "active duty." The Nonaka and Takeuchi knowledge spiral model is used to illustrate how knowledge is transformed from one form to the other. A brief historical overview of KM is presented to show the evolution from a management fad to a scholarly discipline of study and research. Finally, the emerging roles for information professionals in this field are briefly described, outlining some of the key roles such as Chief Knowledge Officer, knowledge manager, content editor, and knowledge journalist.

Type

a

0.0016616598 = product of:
  0.0033233196 = sum of:
    0.0033233196 = product of:
      0.006646639 = sum of:
        0.006646639 = weight(_text_:a in 3830) [ClassicSimilarity], result of:
          0.006646639 = score(doc=3830,freq=8.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.15287387 = fieldWeight in 3830, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=3830)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The first widely adopted knowledge management (KM) model was the knowledge spiral model, which described how tacit (difficult to articulate) knowledge and explicit (coded or documented) knowledge can be transformed in an organization. While still in use, the original knowledge spiral model has been extended, modified, and subsumed by alternative KM models. The rationale was that a more holistic approach to KM has become necessary as the complex, subjective, and dynamic nature of knowledge became more and more of an issue. Cultural and contextual influences further increased the complexity involved in KM and these factors had to also be taken into account in a model or framework that could situate and explain the key KM concepts and processes. The KM models presented in this entry all attempt to address KM in a holistic and comprehensive manner.

Type

a

0.0015481601 = product of:
  0.0030963202 = sum of:
    0.0030963202 = product of:
      0.0061926404 = sum of:
        0.0061926404 = weight(_text_:a in 4579) [ClassicSimilarity], result of:
          0.0061926404 = score(doc=4579,freq=10.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.14243183 = fieldWeight in 4579, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4579)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

A new, thoroughly updated edition of a comprehensive overview of knowledge management (KM), covering theoretical foundations, the KM process, tools, and professions. The ability to manage knowledge has become increasingly important in today's knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization's knowledge base. This textbook and professional reference offers a comprehensive overview of the field. Drawing on ideas, tools, and techniques from such disciplines as sociology, cognitive science, organizational behavior, and information science, it describes KM theory and practice at the individual, community, and organizational levels. Chapters cover such topics as tacit and explicit knowledge, theoretical modeling of KM, the KM cycle from knowledge capture to knowledge use, KM tools, KM assessment, and KM professionals.