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
Día de Entrega: 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

Special Issue on Emerging Technology and Innovation in Q-Commerce
Día de Entrega: 2025-12-31

Utilizing Emerging Technologies and Innovations to Address Q-Commerce Opportunities and Challenges.

Guest editors:

Shahryar Sorooshian, PhD 
University of Gothenburg, Sweden; shahryar.sorooshian@gu.se 

Navidreza Ahadi, PhD
University of Derby, UK; n.ahadi@derby.ac.uk

Pouria Liravi, PhD
University of Derby, UK; p.liravi@derby.ac.uk

Elizabeth L. Jackson, PhD
Curtin University, Australia; elizabeth.jackson@curtin.edu.au

Georgia Ayfantopoulou, PhD
Hellenic Institute of Transport, Greece; gea@certh.gr

Special issue information:

Q-commerce (Quick Commerce) has emerged as a transformational retailing model in the e-commerce ecosystem, promising ultra-fast delivery to meet the growing demand for speed and convenience (Gund and Daniel, 2024). This digital retailing model depends on a supporting supply chain to deliver products within a stringent timeframe of minutes (Harter et al., 2024; Paché, 2022). However, customers’ time-sensitive consumption needs places significant challenges and pressure on operations and logistics networks. To bring in and satisfy demand, technological innovation, thorough preparation, optimized operations, and strong supply chain management must be established. Business processes such as marketing, supply chain and operations management, and financial management rely heavily on advanced problem-solving to succeed in this complex environment.

To ensure customer satisfaction, which is an important differentiator in Q-commerce, organizations must implement educated strategies that predict, understand, and address customers’ needs. Q-commerce, despite being a niche sector, is well positioned to generate demand exponentially (Singh, 2023). With the expansion of the Q-commerce market, investigating the potential of innovation and problem-solving approaches to address investigating emerging technologies such as autonomous delivery solutions, artificial intelligence (AI) and smarter platforms, and real-time data analytics becomes critical for improving service quality, increasing customer loyalty, and maintaining competitive advantages. Thus, this special issue aims to advance Q-commerce with a focused exploration of innovative tools, strategies, and frameworks.

This special issue seeks contributions that specifically target critical Q-commerce challenges, opportunities, and emerging topics. We encourage submissions to highlight how technological innovations, strategic decision-making, and data-driven frameworks can solve existing problems and enhance both operational efficiency and customer satisfaction. Submissions should provide policy, managerial or technical implications for real-world applications, or offer novel models that integrate frontier methods. Topics of interest include, but are not limited to, the following: 

    Q-Commerce business model innovations
    Customer-centric strategies and operations
    Decision-making and analytics applications in Q-commerce
    Supply chain issues, logistics and delivery
    Inventory and fulfilment optimization
    Dark store expansions and micro-fulfilment strategies
    Marketing, promotions, and demand management
    Artificial Intelligence support for Q-commerce
    Robotics, autonomous vehicles, and drone-based last-mile deliveries
    Customer service strategies
    Digitalization, data privacy, and cybersecurity in Q-commerce
    Risk Management in Q-Commerce
    Sustainability in Q-Commerce
    Pricing and financial concerns
    Operational performance and Resilience
    Regulatory and ethical considerations for emerging Q-commerce models

Manuscript submission information:
Editorial Manager URL 
https://www.editorialmanager.com/ECRA/default.aspx
Short Special Issue Name
VSI: Emerging Technology and Innovation in Q-Commerce

References:

Gund, H. P., & Daniel, J. (2024). Q-commerce or E-commerce? A systematic state of the art on comparative last-mile logistics greenhouse gas emissions literature review. International Journal of Industrial Engineering and Operations Management, 6(3), 185-207.

Harter, A., Stich, L., & Spann, M. (2024). The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Journal of Service Research, 10946705241236961.

Paché, G. (2022). The impact of logistics on product assortment policy: An illustration with Q-Commerce. Journal of Supply Chain Management: Research and Practice, 16(2), 1-10.

Singh, J. (2023). Zomato: quick commerce on the menu. Emerald Emerging Markets Case Studies, 13(2), 1-28.