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  <doi_batch_id>aspg-1-1483-1792176651</doi_batch_id>
  <timestamp>20261016185051</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <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>2022</year>
    </publication_date>
    <journal_volume>
     <volume>8</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Internet of Things risks, benefits, challenges in industrial application: Survey</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ahmed</given_name>
      <surname>Abdelmonem</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Shimaa S.</given_name>
      <surname>Mohamed</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The Internet of Things (IoT) is a crucial and rapidly developing technology that is employed in a wide variety of essential real-life apps, including those in which it may be used to enhance decision making. However, the presence of a number of potential sources of uncertainty inside the IoT infrastructure might influence decision makers to take decisions that are not suitable. In the work that is being presented here, the primary emphasis is placed on the development of a risk-based decision-making methodology for the Internet of Things (IoT), with the goal of efficiently managing uncertainties and incorporating prior domain knowledge into the decision-making process. The creation of the framework is based on a systematic literature analysis that examines the risks and reasons of ambiguity in decision-making systems related to the internet of things (IoT). IoT risk contains many and conflicting criteria so, the concept of multi-criteria decision making is introduced to overcome this problem. The purpose of this article is to provide the comprehension survey of the decision making based on IoT risk evaluation.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>47</first_page>
     <last_page>59</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1483</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/AJBOR.080105</doi>
     <resource>https://americaspg.com/journal/1/article/1483</resource>
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       <resource mime_type="application/pdf">https://americaspg.com/storage/11674392102.pdf</resource>
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