Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
11.7
4.6
Journals
JTAER
Special Issues
AI-Based Disruption, Innovations, and New Business Models in E-Commerce: Empirical...
share announcement

AI-Based Disruption, Innovations, and New Business Models in E-Commerce: Empirical Research, Case Studies and Current Trends

A special issue of Journal of Theoretical and Applied Electronic Commerce Research (ISSN 0718-1876).

Deadline for manuscript submissions: 28 February 2026 | Viewed by 3162

Special Issue Editors

Prof. Dr. Stephan Böhm

E-Mail Website
Guest Editor
Telecommunications and Mobile Media, RheinMain University of Applied Sciences, CAEBUS Center of Advanced E-Business Studies, Wiesbaden, Germany
Interests: innovation management and marketing; media & AI, technology acceptance; up-front user research; prototyping; mobile HCI and UX
Special Issues, Collections and Topics in MDPI journals
Dr. Sid Suntrayuth

E-Mail Website
Guest Editor
International College, National Institute of Development Administration, Bangkok 10224, Thailand
Interests: public administration; policy implementation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Müge Klein

E-Mail Website
Guest Editor
Faculty of Economic and Administrative Sciences, Business Administration, Turkish-German University, Istanbul, Turkey
Interests: digital transformation; digital leadership; remote working; AI-disruption in business; digital marketing; process management
Prof. Dr. Ela Sibel Bayrak Meydanoğlu

E-Mail Website
Guest Editor
Faculty of Economic and Administrative Sciences, Business Administration, Turkish-German University, Istanbul, Turkey
Interests: digital marketing; AI and marketing; digital transformation; e-business; augmented reality applications in marketing; sustainable marketing

Special Issue Information

Dear Colleagues,

We are pleased to announce a call for papers for an upcoming Special Issue focusing on the transformative role of artificial intelligence (AI) in the evolving landscape of electronic and mobile commerce. As AI technologies continue to advance, they are fundamentally reshaping e-commerce by enabling personalized experiences, intelligent automation, and innovative business models.

This Special Issue welcomes original research and conceptual papers that explore the impact of AI on digital commerce, with an emphasis on cutting-edge applications and strategic implications. We particularly encourage submissions addressing, but not limited to, the following topics:

  • AI-driven personalization and recommendation systems;
  • Conversational AI and intelligent chatbots in customer engagement;
  • AI-based predictive analytics and consumer behavior insights;
  • AI-enabled dynamic pricing and revenue optimization;
  • Novel AI-based business models and digital innovations in e-commerce;
  • AI for sustainable and ethical e-commerce practices.

There are two ways to participate in this JTAER Special Issue:

  1. Authors can directly submit through the MDPI submission platform for the regular fee.
  2. Authors could also participate in the 9th International Workshop on Entrepreneurship, Electronic, and Mobile Business, taking place in Istanbul, Turkey (October 9–10, 2025) to qualify for a discount. Selected papers from the IWEMB workshop will be invited to submit to this JTAER Special Issue and receive a 50% discount when accepted by JTAER for publication. Please visit the IWEMB website for information on participation and workshop deadlines (https://iwemb.org/).

Prof. Dr. Stephan Böhm
Dr. Sid Suntrayuth
Prof. Dr. Müge Klein
Prof. Dr. Ela Sibel Bayrak Meydanoğlu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Theoretical and Applied Electronic Commerce Research is an international peer-reviewed open access quarterly 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 1400 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

  • artificial intelligence
  • e-commerce
  • business models
  • digital disruption
  • innovation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 4784 KB  
Article
Brand Image of Beijing’s Time-Honored Restaurants: An Analysis Through Large Language Model-Driven Review Mining
by Xiaohang Li, Aihua Zhou, Bin Meng and Ruize Wang
J. Theor. Appl. Electron. Commer. Res. 2025, 20(4), 300; https://doi.org/10.3390/jtaer20040300 - 2 Nov 2025
Viewed by 1116
Abstract
Understanding consumer perceptions of brand image is vital for the sustainable development of China Time-honored Brands, which combine cultural heritage with commercial value. This study aims to systematically analyze the brand image of Beijing’s time-honored restaurants by developing a large language model (LLM)-driven [...] Read more.
Understanding consumer perceptions of brand image is vital for the sustainable development of China Time-honored Brands, which combine cultural heritage with commercial value. This study aims to systematically analyze the brand image of Beijing’s time-honored restaurants by developing a large language model (LLM)-driven framework that advances beyond the limits of traditional text mining in semantic depth and adaptability. Using Dianping reviews from 2016 to 2022, we apply the Qwen3-32B model to map consumer feedback onto a Functional–Experiential–Symbolic (F–E–S) framework. Sentiment quantification and clustering analysis are employed to generate brand image profiles and identify common brand types, while topic modeling is used to uncover the specific consumer concerns shaping these perceptions. The results reveal a dual structure: the symbolic dimension, rooted in cultural heritage, is consistently high and stable, whereas the functional and experiential dimensions, associated with daily operations, are relatively low and highly volatile. Clustering further distinguishes two significantly different categories: comprehensive performers and heritage struggler brands. The key difference lies in whether brands can transform symbolic capital derived from historical legacy into positive consumer experiences through excellent operational performance. By integrating dynamic and structural perspectives, this study advances brand image research and provides data-driven insights to guide the targeted management and modernization of heritage brands. Full article
(This article belongs to the Special Issue AI-Based Disruption, Innovations, and New Business Models in E-Commerce: Empirical Research, Case Studies and Current Trends)
►▼ Show Figures

Figure 1

24 pages, 1228 KB  
Article
The Impact of Artificial Intelligence Service Competency Among Korean Citizens on Digital Utilization Outcomes in the Context of Digital Trade Expansion: The Mediating Role of E-Commerce
by Hyuk Kwon
J. Theor. Appl. Electron. Commer. Res. 2025, 20(4), 292; https://doi.org/10.3390/jtaer20040292 - 1 Nov 2025
Viewed by 592
Abstract
This study empirically examines the impact of artificial intelligence (AI) service competency on digital economic activities, digital social participation, and daily life satisfaction. It also investigates the mediating role of e-commerce utilization in these relationships. The ultimate aim is to provide practical implications [...] Read more.
This study empirically examines the impact of artificial intelligence (AI) service competency on digital economic activities, digital social participation, and daily life satisfaction. It also investigates the mediating role of e-commerce utilization in these relationships. The ultimate aim is to provide practical implications for enhancing citizens’ quality of life and promote their active participation in the digital society. This study employed data from 7001 respondents drawn from the 2023 Digital Information Gap Survey. The analysis was conducted using SPSS 29.0 and structural equation modeling (SEM) to examine the structural relationships between variables. The results revealed that perceived usefulness of AI technology had a significant positive effect on digital economic activities, while digital information competency positively influenced both digital economic activities and daily life satisfaction. In contrast, attitude toward AI technology did not have a significant effect on digital economic activities and even showed a negative association with digital social participation. Furthermore, digital information competency demonstrated a significant indirect effect on the overall digital outcomes through the mediating role of the level of e-commerce utilization. This study applies an integrated theoretical framework combining the Theory of Reasoned Action (TRA) and the Unified Theory of Acceptance and Use of Technology (UTAUT). It goes beyond theoretical interpretation by delivering practical implications that offer academic and policy value, particularly for developing policy strategies such as reducing the digital divide. Full article
(This article belongs to the Special Issue AI-Based Disruption, Innovations, and New Business Models in E-Commerce: Empirical Research, Case Studies and Current Trends)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop