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  <doi_batch_id>aspg-1-1703-1791417756</doi_batch_id>
  <timestamp>20261008000236</timestamp>
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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>2023</year>
    </publication_date>
    <journal_volume>
     <volume>10</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Business Process Management and Process Mining Technologies: The progress of a discipline</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Samah Ibrahim</given_name>
      <surname>Abdelaal</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Sharkia, Zagazig, 44519, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>A wide variety of approaches, strategies, and tools for designing, implementing, managing, and analyzing functional business processes have emerged from studies in business process management (BPM). It is the goal of the emerging topic of research known as &quot;process mining&quot; (PM) to improve the analysis of business process models by gleaning actionable insights from massive quantities of event logs. The purpose of this study is to research business process management and process mining by surveying the state-of-the-art methods and tools in each area and highlighting the most recent developments. This study concludes with a discussion of BPM and PM, in which PM acts as a bridge between BPM and data science to enhance business processes (BPs).</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>53</first_page>
     <last_page>65</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1703</item_number>
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     <doi>10.54216/AJBOR.100105</doi>
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