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  <Article>
    <Journal>
      <PublisherName>ijesm</PublisherName>
      <JournalTitle>International Journal of Engineering, Science and</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 1, Issue 1</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>December 2012</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Engineering, Science and Mathematics</ArticleType>
      <ArticleTitle>THE STUDY OF AMOUNT OF PREDICTING HUMAN__ampersandsignnbsp;__ampersandsignnbsp;RESOURCES DEVELOPMENT, THROUGH KNOWLEDGE__ampersandsignnbsp;__ampersandsignnbsp;MANAGEMENT VALUE CHAIN</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>1</FirstPage>
      <LastPage>9</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Maryam Beigi Rizi*          Badri Shahtalebi*</FirstName>
          <LastName/>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Present research has analyzed the amount of predicting human resources development, through__ampersandsignnbsp;__ampersandsignnbsp;knowledge __ampersandsignnbsp; management __ampersandsignnbsp; value __ampersandsignnbsp; chain __ampersandsignnbsp; (creation, __ampersandsignnbsp; storage, __ampersandsignnbsp; distribution, __ampersandsignnbsp; application). __ampersandsignnbsp;All __ampersandsignnbsp; of __ampersandsignnbsp; the__ampersandsignnbsp; __ampersandsignnbsp;employees __ampersandsignnbsp; of __ampersandsignnbsp; a __ampersandsignnbsp; big __ampersandsignnbsp;Iranian __ampersandsignnbsp;Steel __ampersandsignnbsp; Industry __ampersandsignnbsp; Company __ampersandsignnbsp; took __ampersandsignnbsp; part __ampersandsignnbsp; in __ampersandsignnbsp; the __ampersandsignnbsp; survey. __ampersandsignnbsp; 232 __ampersandsignnbsp; people __ampersandsignnbsp; were__ampersandsignnbsp;__ampersandsignnbsp;chosen by using systematic sampling method and the sample size formula. To collect data, two__ampersandsignnbsp;__ampersandsignnbsp;researcher-made __ampersandsignnbsp; questionnaires __ampersandsignnbsp; of __ampersandsignnbsp; knowledge __ampersandsignnbsp; management __ampersandsignnbsp; and __ampersandsignnbsp; human __ampersandsignnbsp; resources __ampersandsignnbsp; development__ampersandsignnbsp;__ampersandsignnbsp;have __ampersandsignnbsp;been __ampersandsignnbsp; used. __ampersandsignnbsp; Also __ampersandsignnbsp; content __ampersandsignnbsp; validity __ampersandsignnbsp;and __ampersandsignnbsp; face __ampersandsignnbsp;validity __ampersandsignnbsp;of __ampersandsignnbsp; questionnaires __ampersandsignnbsp; in __ampersandsignnbsp; this __ampersandsignnbsp; research __ampersandsignnbsp; were __ampersandsignnbsp;__ampersandsignnbsp;confirmed __ampersandsignnbsp;by __ampersandsignnbsp;experts. __ampersandsignnbsp;The __ampersandsignnbsp;validity __ampersandsignnbsp;of __ampersandsignnbsp;both __ampersandsignnbsp;questionnaires __ampersandsignnbsp;was __ampersandsignnbsp;estimated __ampersandsignnbsp;by __ampersandsignnbsp;using __ampersandsignnbsp;Cronbach__ampersandsignrsquo;s__ampersandsignnbsp;alpha __ampersandsignnbsp;coefficient __ampersandsignnbsp;(__ampersandsignalpha;) __ampersandsignnbsp;which __ampersandsignnbsp;equals __ampersandsignnbsp;to __ampersandsignnbsp;0.87 __ampersandsignnbsp;in __ampersandsignnbsp;knowledge __ampersandsignnbsp;management __ampersandsignnbsp;and __ampersandsignnbsp;0.83 __ampersandsignnbsp;in __ampersandsignnbsp;human__ampersandsignnbsp;resources __ampersandsignnbsp; development. __ampersandsignnbsp; Analysis __ampersandsignnbsp; of __ampersandsignnbsp; the __ampersandsignnbsp; data __ampersandsignnbsp; is __ampersandsignnbsp; done __ampersandsignnbsp; by __ampersandsignnbsp; using __ampersandsignnbsp; inferential __ampersandsignnbsp; statistics __ampersandsignnbsp; (including__ampersandsignnbsp;Pearson r, analysis of variance test and multiple regressions). The result has shown that among the__ampersandsignnbsp;__ampersandsignnbsp;variables __ampersandsignnbsp; of __ampersandsignnbsp;knowledge __ampersandsignnbsp;management, __ampersandsignnbsp; __ampersandsignnbsp; three __ampersandsignnbsp;variables __ampersandsignnbsp;(creation, __ampersandsignnbsp;storage __ampersandsignnbsp; and __ampersandsignnbsp;application) __ampersandsignnbsp; can__ampersandsignnbsp;__ampersandsignnbsp;predict human resources development.__ampersandsignnbsp;</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Knowledge management value chain, Human resources development, Knowledge          creation, Knowledge storage, Knowledge distribution, Knowledge application</Keywords>
      <URLs>
        <Abstract>https://ijesm.co.in/ubijournal-v1copy/journals/abstract.php?article_id=2853&amp;title=THE STUDY OF AMOUNT OF PREDICTING HUMAN__ampersandsignnbsp;__ampersandsignnbsp;RESOURCES DEVELOPMENT, THROUGH KNOWLEDGE__ampersandsignnbsp;__ampersandsignnbsp;MANAGEMENT VALUE CHAIN</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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