Systems Approaches in E-Commerce and Business Intelligence: Innovations and Applications

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: 28 February 2026 | Viewed by 1245

Special Issue Editors


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Guest Editor
Department of International Trade, College of Social Sciences, Konkuk University, Seoul 05029, Republic of Korea
Interests: business development; business management; business analysis; innovation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Business and Public Management & Institute for Sustainability Studies, Wenzhou-Kean University, Wenzhou 325000, China
Interests: Sino–US trade; sustainable development; AI’s effect on businesses
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will explore how e-commerce firms of all sizes are leveraging recent and significant advances in technology to enhance their competitive advantages in the highly competitive global e-commerce marketplace.

In the face of an increasingly competitive global market place, e-commerce firms are under pressure to find innovative solutions to create a competitive advantage. Recent and significant advances in technological development have resulted in viable options for firms to innovate and to build and operate more efficient and effective operational and supply chain systems. Some recent technological advances include the expanded connectivity provided by satellite-based solutions and the increased throughput of 6G. Other advances include big data analytics, cloud-storage-based solutions for data and application, and advanced chips with increased processing power. However, much of the current innovation is a result of recent advances in AI in its various forms such as ChatGPT, DeepSeek, Blockchain, etc.

This Special Issue is a call for papers focused on the systematic application of recently advanced technology as drivers of innovation and development in the ever-expanding and increasingly competitive global e-commerce marketplace.

Preference will be given to empirical studies focused on the application of innovative systems that are based on recent technological advances. High-quality reviews and qualitative research will also be carefully considered. Unique perspectives are also welcome.

Dr. Jong-min Kim
Dr. Rob Kim Marjerison
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • e-commerce
  • AI Systems
  • innovation
  • recent technological advances
  • competitive advantage
  • systems approaches

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Published Papers (2 papers)

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Research

21 pages, 523 KB  
Article
From Pathology to Purchase: Compulsive Short Video Use and Socio-Technical Moderation in E-Commerce
by Rob Kim Marjerison, Jin Young Jun and Jong Min Kim
Systems 2025, 13(12), 1106; https://doi.org/10.3390/systems13121106 - 8 Dec 2025
Abstract
Short-video platforms such as TikTok, Douyin, and Instagram Reels have transformed digital consumption into an immersive, algorithmically mediated commerce ecosystem. This study examines how compulsive short video use (CSV), a maladaptive pattern linked to diminished self-regulation, shapes purchase intention (PI). Drawing on compulsive [...] Read more.
Short-video platforms such as TikTok, Douyin, and Instagram Reels have transformed digital consumption into an immersive, algorithmically mediated commerce ecosystem. This study examines how compulsive short video use (CSV), a maladaptive pattern linked to diminished self-regulation, shapes purchase intention (PI). Drawing on compulsive consumption theory, dual-process perspectives, and socio-technical systems theory (STST), we estimate a structural equation model using survey data from 542 active short-video users. The results show that CSV exerts a strong and consistent positive effect on PI, indicating that compulsive engagement functions as a commercially consequential psychological state. This relationship is contingent on socio-technical conditions: technical support and platform familiarity substantially amplify the CSV–PI pathway, social belonging provides weaker but positive reinforcement, and social interaction attenuates the effect by redirecting attention away from transactional cues. These findings position CSV as both a form of digital pathology and a commercially activating mechanism within socio-technical environments. The study also offers guidance for platform managers seeking to balance monetization with ethical responsibility in short-video commerce ecosystems. Full article
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27 pages, 908 KB  
Article
From IoT Adoption to Innovation: Unpacking the Mediating Mechanisms of Supply Chain Integration and Agility
by Farhan Khan, Kashif Ullah Khan and Fouzia Atlas
Systems 2025, 13(11), 993; https://doi.org/10.3390/systems13110993 - 6 Nov 2025
Viewed by 779
Abstract
This study investigates innovation performance through the lens of the Internet of Things (IoT) and in the context of supply chain globalization. For theoretical support this study employs dynamic capabilities theory; however, data analysis was performed using SPSS. Results demonstrate that IoT capabilities [...] Read more.
This study investigates innovation performance through the lens of the Internet of Things (IoT) and in the context of supply chain globalization. For theoretical support this study employs dynamic capabilities theory; however, data analysis was performed using SPSS. Results demonstrate that IoT capabilities (i.e., smart environmental creation, data processing) have both direct and indirect relations with innovation performance. Perceived business force (competition and policies) and environmental uncertainty are both moderating variables in the proposed research framework, whereas supply chain integration and supply chain agility are demonstrated to be positive mediators between IoT and innovation performance. These results extend the application of dynamic capability theory in the context of the digital supply chain and offer actionable insights for managers seeking to leverage IoT capabilities to drive innovation under uncertain business environments. Full article
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