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  <titleInfo>
    <nonSort>The </nonSort>
    <title>analytic hierarchy process</title>
    <subTitle>a case study of technological choice in the Korean machinery industry</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Nam, In-suk</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tang, John C.S.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tabucanon, Mario T.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Bae, Zong-Tae</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Government of Federal Republic of  Germany</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1990</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>127 p.</extent>
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  <abstract>The purpose of this study is to apply the Analytic Hierarchy Process (AHP)  to technological choice particularly in the Korean Machinery Industry.  A model is developed which considers the evaluation of various combined  factors depending on the level. National-goal-oriented factors such as import  substitution, export, employment, productivity, technology self-reliance and untapped  growth potentials are influenced by sectoral development. On the other hand,  factors such as technology and marl&lt;et need, adaptability, linkage effect, technology  acquisition and technology leadership are evaluated for the technological choice  priorities.  Data were collected from 39 experts coming from both Korean public and private  sectors through a structured questionnaire via individual interviews supplemented  by group discussion. Arithmetic mean (average) method is employed to make a  consensus from group opinions on the importance ratio of criteria and factors.  The findings are presented including both the relative importance (weight)  and ranlcing of each alternative, considering both public and private sectors. Both  groups indicate that the machine tools industry is the most important sector in  the sector development model, while in the choice of technological model, design  and engineering technology ls the most important. The sensitivity analysis examines  about criteria and various consensus methods.  It is shown that the analysis can provided useful guidelines for industrial  policy planning in developing countries. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1990</note>
  <subject authority="lcsh">
    <topic>Technology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machinery industry</topic>
    <topic>Korea</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. IE-90-16</title>
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      <namePart>Asian Institute of Technology.</namePart>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B18508</identifier>
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