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Journal of Computational Social Dynamics

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Published

2023-04-06

Issue

Vol. 8 No. 2 (2023): Journal of Computational Social Dynamics-2nd-Q

Section

Articles

How to Cite

Gonzalez, M., & Rabbi, F. (2023). Evaluating the Impact of Big Data Analytics on Personalized E-commerce Shopping Experiences and Customer Retention Strategies. Journal of Computational Social Dynamics, 8(2), 13–25. Retrieved from https://vectoral.org/index.php/JCSD/article/view/31

Evaluating the Impact of Big Data Analytics on Personalized E-commerce Shopping Experiences and Customer Retention Strategies

Maria Gonzalez

Department of Marketing Research, University of Berat, Albania

Fazle Rabbi

Keywords: Big Data Analytics, e-commerce, personalization, customer retention, data-driven strategies, customer satisfaction, quantitative research, data analysis

Abstract

This study aims to evaluate the impact of Big Data Analytics on personalized e-commerce shopping experiences and customer retention strategies. In the ever-evolving e-commerce landscape, personalization has become a crucial factor for businesses to enhance customer satisfaction and loyalty. Big Data Analytics, with its ability to analyze vast amounts of data, offers the potential to drive personalized shopping experiences and optimize customer retention strategies. To investigate this phenomenon, a comprehensive literature review was conducted, revealing gaps in understanding the precise influence of Big Data Analytics on these aspects. The research design involves a quantitative approach, utilizing surveys and data analysis techniques to gather insights from e-commerce customers and businesses. Statistical tests, including regression analysis and correlation, will be employed to analyze the collected data and examine the relationship between Big Data Analytics implementation, personalized shopping experiences, and customer retention. Ethical considerations, including informed consent and data privacy, will be strictly adhered to throughout the research process. The anticipated findings of this study will provide valuable insights into the role of Big Data Analytics in shaping e-commerce strategies and enhancing customer experiences. It is expected that the results will contribute to a deeper understanding of how businesses can leverage data-driven approaches to strengthen customer relationships, thereby benefiting both e-commerce enterprises and consumers.

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.