<?xml version="1.0" encoding="UTF-8"?>
<article_metadata generated_at="2026-06-09T09:48:47+00:00">
  <journal>
    <title>International Journal of Business and Economic Development</title>
    <acronym>IJBED</acronym>
    <issn_print>2051-848X</issn_print>
    <issn_online>2051-8498</issn_online>
    <doi_prefix>https://doi.org/10.24052/IJBED/</doi_prefix>
  </journal>
  <article>
    <id>133</id>
    <title>Rank reversal phenomenon in cross-efficiency evaluation of data envelopment analysis</title>
    <abstract>This paper presents that the rank reversal occurs in other popular MCDM approach as well, cross-efficiency evaluation of data envelopment analysis (DEA), which has been alternative method for ranking decision making units (DMU) in the data envelopment analysis (DEA). This paper also attempts to illustrate that the proposed least common multiple (LCM) approach successfully addresses these rank reversal problems in decision support systems area.</abstract>
    <doi></doi>
    <url>https://ijbed.org/details&amp;cid=133</url>
    <pdf_url>https://ijbed.org/cdn/article_file/content_35835_17-03-27-10-37-58.pdf</pdf_url>
    <volume>Volume 05</volume>
    <issue>Issue 1</issue>
    <issue_id>13</issue_id>
    <issue_published_month>2017-03-01</issue_published_month>
    <published_date>2017-03-27</published_date>
    <online_first_status>no</online_first_status>
    <online_first_date></online_first_date>
    <history>
      <received></received>
      <revised></revised>
      <accepted></accepted>
    </history>
    <keywords>
      <keyword>Multiple Criteria Decision Making (MCDM)</keyword>
      <keyword>Cross-efficiency Data Envelopment Analysis (DEA)</keyword>
      <keyword>Rank reversal</keyword>
      <keyword>and Least Common Multiple (LCM)</keyword>
    </keywords>
    <declarations>
      <funding></funding>
      <conflict_of_interest></conflict_of_interest>
      <data_availability></data_availability>
      <author_contributions></author_contributions>
    </declarations>
    <publication_notice>
      <type>none</type>
      <text></text>
    </publication_notice>
    <metrics>
      <views>5485</views>
      <downloads>15</downloads>
      <citations>0</citations>
    </metrics>
    <authors>
      <author>
        <name>Yong B. Shin</name>
        <organization>Francis Marion University, South Carolina</organization>
        <country></country>
      </author>
    </authors>
    <supplementary_materials/>
  </article>
</article_metadata>
