<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>KMAN Publication Inc.</PublisherName>
      <JournalTitle>AI and Tech in Behavioral and Social Sciences</JournalTitle>
      <Issn></Issn>
      <Volume>3</Volume>
      <Issue>Serial Number 11</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>07</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Unraveling the Dynamics of Consumer Buying Behavior and the Role of Artificial Intelligence</ArticleTitle>
    <VernacularTitle>Unraveling the Dynamics of Consumer Buying Behavior and the Role of Artificial Intelligence</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>12</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.aitech.3.3.2</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <Abstract>&lt;p&gt;Consumer buying behavior involves the process of selecting, purchasing, and utilizing goods and services based on individual needs and desires. This behavior is influenced by various factors and can manifest in diverse ways. Despite the extensive research conducted in this field, there remains a gap in the literature concerning a comprehensive survey that covers a broad spectrum of studies and categorizes them into distinct domains. Addressing this gap, our study endeavors to provide a comprehensive overview by surveying and categorizing studies on impulse buying, panic buying, and hoarding. Additionally, we explore the impact of artificial intelligence (AI), customer satisfaction and loyalty, as well as green purchase behavior. Through this endeavor, we aim to offer valuable insights into the multifaceted nature of consumer behavior, thereby contributing to a deeper understanding of the subject and informing future research and practical applications in the field of marketing and consumer studies.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Artificial intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Consumer buying behavior</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> Impulse buying</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> Panic buying</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Hoarding</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ustomer satisfaction</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Green purchase</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journals.kmanpub.com/index.php/aitechbesosci/article/download/3211/5366</ArchiveCopySource>
  </Article>
</ArticleSet>
