Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge.

Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.

E-commerce is a multi-disciplinary area, which should be developed in co-operation with existing fields such as Information Systems and Technology; Computing and Informatics; Marketing, Finance and Supply Chain Management; Business Strategy and Management; Artificial Intelligence/Machine Learning; Data Science and Business Data Analytics; Public Policy; and Legal Studies. We will solicit papers on current technologies from these areas, as well as publish papers on completely new topics. We also seek proposals for special issues on new topics in e-commerce that will create new directions for research.

Electronic Commerce Research and Applications is inviting submission of articles, including but not limited to the following topics:Agent-based commerce; electronic auctions; e-business models; B2C and B2B EC; consumer behavior; customer relationship management and data mining; recommender systems; Internet search engines and Web mining; big data analytics; social media and commerce analytics; responsible and trustworthy artificial intelligence; pricing and marketing; digital economy and digital transformation; e-government, public policy and digital divide issues; electronic payment systems; sharing economy; (IT and e-services; exchanges and electronic marketplaces;) e-commerce in supply chain and inventory management; legal issues in e-commerce; (industry studies and case analysis;) economic and management science modeling; organizational and theory-building research; empirical studies of e-commerce problems; behavioral studies of e-commerce issues; protocols, technology and process standards for e-commerce; (transformation of industries;) security and trust; credit card and smart card applications; mobile-commerce and ubiquitous computing; inter-organizational systems in e-commerce; emerging technologies and technological innovation.

Special Issue on AI Integration in e-Business: Exploring Trends, Challenges, and Prospects
截稿日期: 2025-08-31

This special issue aims to curate an open call for original research examining the practical applications of AI in e-Business, with a focus on real-world challenges and strategic considerations.

Guest editors:

Dr. Manlu Liu - Rochester Institute of Technology, USA
Dr. Zhe Shan - Miami University, USA
Dr. Ali Tosyali - Rochester Institute of Technology, USA
Dr. Nichalin Summerfield - University of Massachusetts Lowell, USA

Special issue information:

The proposed special issue, titled "AI Integration in e-Business: Exploring Trends, Challenges, and Prospects," aims to curate an open call for original research examining the practical applications of AI in e-Business, with a focus on real-world challenges and strategic considerations. Unlike previous special issues such as "AIGC-based Business Innovation and Theoretical Exploration" and "Digital Nudging in E-Commerce," which focused primarily on theoretical explorations and consumer behavior, this special issue will address a broader spectrum of AI applications in e-Business. We invite research that investigates AI’s role in optimizing operations, enhancing compliance measures, and supporting policy decisions across e-Business sectors. Potential topics include AI-enabled customer experience personalization, supply chain optimization, operational eƯiciencies, and compliance automation, each oƯering unique insights into the transformative role of AI in diverse business areas.

 Additionally, this issue seeks to highlight the ethical, policy, and social implications of AI in e-Business, distinguishing it as a forum for understanding AI's strategic impact on long-term business objectives and industry practices. Research in this area could explore AI-driven decision-making frameworks that enhance transparency and trustworthiness, methods to safeguard customer data privacy while maintaining AI innovation, and the development of policies that foster responsible AI deployment. Topics of interest include the challenges businesses face when integrating AI in regulated environments, methods for maintaining ethical standards amidst AI-driven automation, and strategies for managing AI’s social impact. Furthermore, we encourage submissions that delve into the ethical dilemmas of AI-powered personalization, such as balancing customer engagement with privacy rights and addressing algorithmic biases that may affect diverse user groups. By exploring these deeper aspects, this special issue aims to provide

comprehensive guidance on leveraging AI not only for immediate benefits but also for sustainable, responsible growth in the e-Business sector.

Research topics may include, but are not limited to:

    Digital Transformation and AI Integration
    Artificial Intelligence-Enabled Business Applications
    Social, Ethical, Policy, and Privacy Issues in e-Business
    Mobile Business and AI Applications
    Innovative AI-Powered e-Business Models for Crisis Management
    AI-Enhanced Digital Product Design and Customer Experience
    The Ethical and Social Implications of Generative AI for e-Business
    Implementing AI for Fraud Detection and Prevention
    Exploring the Broader Ethical and Social Impacts of AI in e-Business
    Technology Applications in Revolutionizing Financial Reporting and Analysis
    Leveraging AI for Sustainable Business Practices