Preprint Open Access

Knowledge Management Archipelago

Daniel Ari Friedman; Richard J. Cordes


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Knowledge Management</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Information Management</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Bibliometrics</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Library Science</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Intellectual Capital Management</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Command and Control Systems</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">SCADA</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Data Fusion</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Information Fusion</subfield>
  </datafield>
  <controlfield tag="005">20210627014822.0</controlfield>
  <controlfield tag="001">5034809</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Atlantic Council GeoTech Center</subfield>
    <subfield code="0">(orcid)0000-0002-9913-7159</subfield>
    <subfield code="a">Richard J. Cordes</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1029707</subfield>
    <subfield code="z">md5:1b1b9a19f0c7c7f40b3cb279f4ec464b</subfield>
    <subfield code="u">https://zenodo.org/record/5034809/files/KnowledgeManagementArchipelago_1_0.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2021-06-26</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:5034809</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">University of California, Davis, Department of Entomology</subfield>
    <subfield code="0">(orcid)0000-0001-6232-9096</subfield>
    <subfield code="a">Daniel Ari Friedman</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Knowledge Management Archipelago</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The theory and practice of knowledge management shares concerns and approaches with a number of other areas of research, some of which preceded its formalization as a field. In the age of the internet, the challenges that the field of knowledge management addresses, such as the difficulty of synthesizing, interpreting, and managing large streams of information, are no longer confined to professional disciplines and are present in everyday life. The commonality and timelessness of these concerns presents a potential problem for the field of knowledge management that, ironically, the field itself often seeks to address: the creation of silos, sometimes referred to as &amp;ldquo;islands&amp;rdquo;, in the knowledge base. The purpose of this paper is to present an exploratory bibliometric analysis of the various areas of research which share concerns, approach, and scope in common with knowledge management. Search-strings associated with selected areas of research were used to query Google Scholar in various combinations in search of co-occurrence, results were quantified and visualized. The results show variable couplings and differential prevalence of keywords, and serve as a starting point for targeted analyses and next steps.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.5034808</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.5034809</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">preprint</subfield>
  </datafield>
</record>
83
56
views
downloads
All versions This version
Views 8383
Downloads 5656
Data volume 57.7 MB57.7 MB
Unique views 7373
Unique downloads 5151

Share

Cite as