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JTAER
Special Issues
Emerging Technologies and Innovations in Electronic Commerce
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Emerging Technologies and Innovations in Electronic Commerce

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 746

Special Issue Editors

Prof. Dr. Ruiliang Yan

E-Mail Website
Guest Editor
Department of Management, Marketing, & Management Science, East Texas A&M University, Commerce, TX 75428, USA
Interests: business strategies; analytical-empirical analysis; marketing–SCM interface
Dr. Zhi Pei

E-Mail Website
Guest Editor
Department of Management & Marketing Soules College of Business, the University of Texas at Tyler, Tyler, TX 75799, USA
Interests: marketing strategies; retailing; digital marketing

Special Issue Information

Dear Colleagues,

Innovations in emerging technologies (ETs), such as artificial intelligence (AI), blockchain, cloud computing, data analytics, autonomous systems, and robotics, are driving the rapid advancement of electronic commerce. These technologies are transforming business operations, reshaping consumer experiences, and redefining competition within e-commerce ecosystems.

Despite receiving increasing academic and practical attention, there remains a gap in understanding how ETs interact and integrate within e-commerce, their interdependencies, and their collective influence on business models, platform governance, and customer engagement.

Thus, this Special Issue aims to explore the transformative role of ETs in shaping the future of electronic commerce. It focuses on the opportunities and challenges these technologies present in improving operational efficiency, enabling new forms of value co-creation and collaboration, and fostering sustainable and responsible e-commerce practices. We especially encourage interdisciplinary research that bridges technology, business, policy, and societal perspectives. Both empirical and theoretical contributions are welcome.

Prof. Dr. Ruiliang Yan
Dr. Zhi Pei
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. Both theoretical modeling and empirical data analysis research articles are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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 (AI)
  • machine learning (ML)
  • blockchain
  • cloud computing
  • big data analytics
  • chatbots
  • augmented reality (AR) and virtual reality (VR)
  • internet of things (IoT)
  • robotics
  • social commerce and livestream shopping

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

Published Papers (1 paper)

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40 pages, 4482 KB  
Article
From Connectivity to Commerce: A Multi-Technique Investigation of E-Commerce Drivers in Italy’s Regional Landscape
by Angelo Leogrande, Carlo Drago, Alberto Costantiello and Massimo Arnone
J. Theor. Appl. Electron. Commer. Res. 2026, 21(5), 137; https://doi.org/10.3390/jtaer21050137 - 28 Apr 2026
Viewed by 260
Abstract
The research examines regional disparities in the diffusion of e-commerce among enterprises employing at least 10 people in Italy, using an integrated analytical framework that blends econometric modeling, machine learning, and network analysis. Instrumental Variable (IV) panel models overcome endogeneity arising from digital [...] Read more.
The research examines regional disparities in the diffusion of e-commerce among enterprises employing at least 10 people in Italy, using an integrated analytical framework that blends econometric modeling, machine learning, and network analysis. Instrumental Variable (IV) panel models overcome endogeneity arising from digital infrastructure, socioeconomic factors, and online business activity, with geographic slope as a suitable instrument for broadband penetration. Machine learning models—regularized regressions, random forests, and boosting—augment causal inference by registering nonlinear effects and sorting variable salience. The results, in all cases, emphasize internet use, household digital connectivity, and the prevalence of remote work as the most important predictors of the diffusion of e-commerce. Cluster analysis identifies regional digital profiles that distinguish northern-central regions from southern-insular regions, characterizing persistently distinct digital divides. The network analysis, in turn, identifies digital inclusion variables—such as internet penetration and ICT infrastructure—that occupy central positions within the entirety of the economic and technological interdependencies’ regime. Innovation and income levels, while practiced, hold peripheral positions, indicating that digital capacity, rather than economic affluence in the singular, drives online business participation. Italy’s case can particularly illustrate this beyond its national borders. Being a high-income economy with significant regional disparities, it reproduces challenges common elsewhere in the world, among which the cases of Spain, Germany, the USA, the Republic of Korea, and Japan come to mind, where regional disparities inhibit inclusive digital development. The Italian case presents, then, a transferable model for the diffusion of digital tools, the reduction in regional disparities, and the encouragement of economic integration. By synthesizing the causal, predictive, and systemic methodologies, the study offers a theoretical and practical response to digital transformation across diverse terrains. Full article
(This article belongs to the Special Issue Emerging Technologies and Innovations in Electronic Commerce)
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