Exploring Factors Influencing the Amazon Best-Selling Books Selection Process from 2009 to 2019

Authors

  • Fatbardha Maloku Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Besnik Maloku Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author

DOI:

https://doi.org/10.47363/JEAST/2024(6)266

Keywords:

Amazon, Process

Abstract

This research paper investigates the "Amazon Best-Selling Books" dataset, focusing on the methodology behind selecting top-selling books on the Amazon platform and employing analytical techniques to uncover key marketing factors. The study centers on evaluating consumer reviews and ratings collected from Amazon.com. It outlines the analysis methodology and discusses encountered challenges. Findings from the review analysis contribute to a discussion on influential factors in the Amazon book market, aiming to guide strategies for enhancing annual revenue from book sales at Amazon.

Author Biographies

  • Fatbardha Maloku, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Fatbardha Maloku, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA.

  • Besnik Maloku, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

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Published

2024-08-05

Issue

Vol. 6 No. 8 (2024): Volume 6 Issue 8

Section

Articles