<?xml version="1.0" encoding="UTF-8"?>
<article_metadata generated_at="2026-09-05T02:28:03+00:00">
  <journal>
    <title>Journal of Business and Retail Management Research</title>
    <acronym>JBRMR</acronym>
    <issn_print></issn_print>
    <issn_online>2056-6271</issn_online>
    <doi_prefix>https://doi.org/10.24052/JBRMR/</doi_prefix>
  </journal>
  <article>
    <id>597</id>
    <title>Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach</title>
    <abstract>This article looks at the influence of automation and artificial intelligence (AI) on unemployment in the United Kingdom from a management standpoint. The study seeks to determine the extent to which automation and AI contribute to unemployment and how management methods can offset these consequences. This research is now in its basic phases, with a full literature evaluation and initial data gathering underway. Early findings indicate considerable sectoral disparities in the impact of automation and AI on employment. This work in progress describes the research objectives, suggested methodology, and expected contributions to academic debate and practical management techniques.</abstract>
    <doi></doi>
    <url>https://jbrmr.com/details&amp;cid=597</url>
    <pdf_url>https://jbrmr.com/cdn/article_file/2024-11-02-12-41-52-PM.pdf</pdf_url>
    <volume>Volume 19</volume>
    <issue>Issue 01</issue>
    <issue_id>55</issue_id>
    <issue_published_month>2024-10-01</issue_published_month>
    <published_date>2024-11-02</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>Automation</keyword>
      <keyword>Artificial Intelligence</keyword>
      <keyword>Unemployment</keyword>
      <keyword>Management Strategies</keyword>
      <keyword>Workforce Planning</keyword>
      <keyword>Continuous Learning</keyword>
      <keyword>Policy Interventions</keyword>
      <keyword>Economic Development</keyword>
      <keyword>United Kingdom</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>1321657</views>
      <downloads>164</downloads>
      <citations>0</citations>
    </metrics>
    <authors>
      <author>
        <name>Policy Dapo Baderinwa</name>
        <organization>Department of Business and Management, University of Bolton, UK</organization>
        <country></country>
      </author>
    </authors>
    <supplementary_materials/>
  </article>
</article_metadata>
