Search (4 results, page 1 of 1)

0.007546128 = product of:
  0.037730638 = sum of:
    0.037730638 = product of:
      0.075461276 = sum of:
        0.075461276 = weight(_text_:management in 4237) [ClassicSimilarity], result of:
          0.075461276 = score(doc=4237,freq=16.0), product of:
            0.14328322 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.042509552 = queryNorm
            0.5266582 = fieldWeight in 4237, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4237)
      0.5 = coord(1/2)
  0.2 = coord(1/5)

Abstract

Knowledge management is a discipline that has rapidly gained attention from both practitioners and academics over the last decade. However, the number of simulation games designed for knowledge management education has been limited. This is largely due to the emerging nature of knowledge management, whose domain the established gaming and simulation community has yet to enter. For this reason, the value and relevance of knowledge management simulation games is highlighted in this article by detailing the design and implementation of a simulation game entitled The Chief Knowledge Officer (CKO). The study was intended to meet two objectives: (a) to provide a template for designing knowledge management simulation games, and (b) to determine the effectiveness of CKO through a pretest-posttest research design. An empirical study which involved 32 final-year Business Studies students reading an elective module entitled Knowledge Management Systems in an institute of higher education in Singapore was conducted. The findings confirmed that CKO was a viable and effective instructional tool for imparting knowledge to the participants. In addition, the scores obtained from CKO had a moderating effect an the participants' attitude towards the subject matter.

Footnote

Teil eines Themenschwerpunktes: Knowledge Management in Asia

0.005545249 = product of:
  0.027726246 = sum of:
    0.027726246 = product of:
      0.055452492 = sum of:
        0.055452492 = weight(_text_:management in 573) [ClassicSimilarity], result of:
          0.055452492 = score(doc=573,freq=6.0), product of:
            0.14328322 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.042509552 = queryNorm
            0.38701317 = fieldWeight in 573, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046875 = fieldNorm(doc=573)
      0.5 = coord(1/2)
  0.2 = coord(1/5)

Abstract

This study compares the preparation and response efforts to Katrina and Rita through a knowledge management (KM) perspective. To achieve this objective, a theoretical KM framework is developed to examine the KM processes that underpin disaster management activities. The framework is then used to identify different dimensions along which the two disasters can be compared. The data, totaling some 500 documents, were drawn from a wide variety of news, congressional, and Internet sources. The findings show that the nonchalance towards the disaster's imminence, grossly inadequate preparations, and the chaotic responses seen in Katrina stood in stark contrast to the colossal scale of precautionary measures and response operations primed for Rita. The article concludes by highlighting three KM implications for managing large-scale natural disasters.

0.004621041 = product of:
  0.023105204 = sum of:
    0.023105204 = product of:
      0.04621041 = sum of:
        0.04621041 = weight(_text_:management in 144) [ClassicSimilarity], result of:
          0.04621041 = score(doc=144,freq=6.0), product of:
            0.14328322 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.042509552 = queryNorm
            0.32251096 = fieldWeight in 144, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.0390625 = fieldNorm(doc=144)
      0.5 = coord(1/2)
  0.2 = coord(1/5)

Abstract

In contrast to many recent large-scale catastrophic events, such as the Turkish earthquake in 1999, the 9/11 attack in New York in 2001, the Bali Bombing in 2002, and the Asian Tsunami in 2004, the initial rescue effort towards Hurricane Katrina in the U.S. in 2005 had been sluggish. Even as Congress has promised to convene a formal inquiry into the response to Katrina, this article offers another perspective by analyzing the delayed response through the lens of knowledge management (KM). A KM framework situated in the context of disaster management is developed to study three distinct but overlapping KM processes, namely, knowledge creation, knowledge transfer, and knowledge reuse. Drawing from a total of more than 400 documents - including local, national, and foreign news articles, newswires, congressional reports, and television interview transcripts, as well as Internet resources such as wikipedia and blogs - 14 major delay causes in Katrina are presented. The extent to which the delay causes were a result of the lapses in KM processes within and across the government agencies are discussed.

0.003201551 = product of:
  0.016007755 = sum of:
    0.016007755 = product of:
      0.03201551 = sum of:
        0.03201551 = weight(_text_:management in 2389) [ClassicSimilarity], result of:
          0.03201551 = score(doc=2389,freq=2.0), product of:
            0.14328322 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.042509552 = queryNorm
            0.22344214 = fieldWeight in 2389, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046875 = fieldNorm(doc=2389)
      0.5 = coord(1/2)
  0.2 = coord(1/5)

Abstract

This article analyzes the collaboration trends, authorship and keywords of all research articles published in the Journal of American Society for Information Science and Technology (JASIST). Comparing the articles between two 10-year periods, namely, 1988-1997 and 1998-2007, the three-fold objectives are to analyze the shifts in (a) authors' collaboration trends (b) top authors, their affiliations as well as the pattern of coauthorship among them, and (c) top keywords and the subdisciplines from which they emerge. The findings reveal a distinct tendency towards collaboration among authors, with external collaborations becoming more prevalent. Top authors have grown in diversity from those being affiliated predominantly with library/information-related departments to include those from information systems management, information technology, businesss, and the humanities. Amid heterogeneous clusters of collaboration among top authors, strongly connected cross-disciplinary coauthor pairs have become more prevalent. Correspondingly, the distribution of top keywords' occurrences that leans heavily on core information science has shifted towards other subdisciplines such as information technology and sociobehavioral science.