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  <title>Data-Driven E-commerce Techniques and Challenges in the Era of the Fourth Industrial Revolution</title>
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  <namePart>Norian Joma H</namePart>
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  <place>
   <placeTerm type="text">Semarang</placeTerm>
   <publisher>Universitas Negeri Semarang</publisher>
   <dateIssued>2020</dateIssued>
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  <languageTerm type="code">e</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <extent>hlm : 291-302</extent>
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  <title>Scientific Journal of Informatics</title>
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<note>&#13;
Abstract&#13;
&#13;
The E-commerce industry has a significant role in the national and international economy. E-commerce is vital in the implementation of the fourth industrial revolution, where information and communication technologies are tools in creating digital channels of trade. Understanding e-commerce is essential for it is development. The objective of this paper is to explore the popular techniques and data sources of e-commerce in addition to the current challenges that face e-commerce in the last five years. We used a literature review as a method for this research.Â  According to the literature, sales records are the most popular data source used in the research community for e-commerce analytics, then followed by big data and social media. Besides, detecting and predicting customer behavior is the most used technique in e-commerce research followed by personalized recommendations. Also, we reported the main three challenges that face researchers in the field of e-commerce currently: First, e-commerce Security and privacy is a major concern for consumers and industries. Second, understanding the collected data from e-commerce systems and how to create business value from it efficiently. Third, providing personalized offers with the most appropriate items, still a difficult task.&#13;
</note>
<note type="statement of responsibility"></note>
<subject authority="">
 <topic>Informatika</topic>
</subject>
<classification>SJI</classification>
<identifier type="isbn">24077658</identifier>
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