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  <doi_batch_id>aspg-1-4524-1792176548</doi_batch_id>
  <timestamp>20261016184908</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>American Journal of Business and Operations Research</full_title>
    <abbrev_title>AJBOR</abbrev_title>
    <issn media_type="print">2770-0216</issn>
    <issn media_type="electronic">2692-2967</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2027</year>
    </publication_date>
    <journal_volume>
     <volume>15</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Temporal Validation of Case-Mix-Aware Credit-Card Complaint Response Analytics</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Irina V.</given_name>
      <surname>Pustokhina</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, Moscow 117997, Russia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Denis A.</given_name>
      <surname>Pustokhin</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Logistics, State University of Management, Moscow 109542, Russia</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Complaint dashboards often pool unlike cases and report an overall resolution rate. For a financial-services operations team, that average can conceal which issues account for redress workload and whether a triage signal remains useful on later cases. We analyze 75,988 publicly reported U.S. credit-card complaints received in 2024. The outcome is the company’s recorded “closed with monetary relief” category, not a verified payment amount or customer satisfaction. Intake issue, sub-issue, submission channel, and company identify a transparent logistic screening model trained on January–September records and evaluated on October–December records. Report-related issues comprise 31.9%of complaints but have a 0.63% monetary-relief rate, compared with 19.16% for other issues. An exact shift-share decomposition attributes 1.81 of the 2.64 percentage points of decline from the first to fourth quarter to changing issue mix. Issue alone achieves an out-of-time area under the receiver operating characteristic curve (AUC) of 0.819; adding sub-issue and channel raises it to 0.831. A cross-company specification reaches 0.873 (95% bootstrap interval 0.867–0.878) and captures 39.4% of recorded monetary-relief responses in its highest-scoring tenth of holdout cases. The company term captures institutional and routing differences, so that result does not measure issuer quality or the gain attainable within a single firm. Case-mix-aware reporting and temporal validation support staffing review queues without automating redress decisions.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2027</year>
    </publication_date>
    <pages>
     <first_page>21</first_page>
     <last_page>26</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4524</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/AJBOR.150104</doi>
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