Published: 2025-04-01

Mapping Research on the Use of Algorithms in Commerce: A Bibliometric Analysis Based on Scopus

DOI: 10.35870/jtik.v9i2.3441

Ahmad Bilal Almagribi, Fikky Ardianto, Anas Taufan, Domy Kristomo
  • Ahmad Bilal Almagribi: Universitas Teknologi Digital Indonesia ,
  • Fikky Ardianto: Universitas Teknologi Digital Indonesia ,
  • Anas Taufan: Universitas Teknologi Digital Indonesia ,
  • Domy Kristomo: Universitas Teknologi Digital Indonesia ,

Abstract

Algorithms had garnered widespread attention across various scientific disciplines, including the commercial sector. According to data from Scopus, over 600 documents exploring the application of algorithms in commerce were identified. However, no comprehensive bibliometric analysis had been conducted to deeply examine the implementation of algorithms within this sector. This research aimed to fill this gap by analyzing the contributions of authors, affiliations, countries, and journals within the literature on commercial algorithms. Employing bibliometric methods on 645 Scopus-indexed documents, this study revealed that 2022 marked the peak of publications with 112 documents, indicating significant growth in this area. Li, Y. from Wuhan College, China, was recognized as the most productive author. Additionally, several universities in China were noted as the most productive affiliations. The ACM International Conference Proceeding Series was the most prolific source on this topic. The study also identified Computer Science, Engineering, and Mathematics as the most popular subject areas. These results indicate a need for further research into aspects such as data privacy, User Experience (UX), Dynamic Pricing Algorithms, and blockchain technology to enhance efficiency and security in commercial applications. This research paves the way for a broader understanding of algorithm utilization in commerce and provides recommendations for future studies.

Keywords

Algorithms ; Commerce ; Bibliometric Analysis ; Scopus ; VOSviewer

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 2 (2025)

  • Section: Computer & Communication Science

  • Published: April 1, 2025

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.