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; Marketing, Finance and Supply Chain Management; Business Strategy and Management; Public Policy; Computer Science and Telecommunications; 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 in the following fields:

Agent-based commerce; electronic auctions; e-business models; B2C and B2B EC; consumer behaviour; customer relationship management and data mining; pricing and marketing; digital economy; e-government, public policy and digital divide issues; electronic payment systems; 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 modelling; organizational and theory-building research; empirical studies of e-commerce problems; behavioral studies of e-commerce issues; recommender systems; 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.

We also encourage Methodological studies: these should be complete and ready for implementation, rather than papers that propose new frameworks.

Special Issue on AIGC-based Business Innovation and Theoretical Exploration
Submission Date: 2023-12-31

This special issue calls for original high-quality papers that address broad areas of e-commerce challenges and issues in the electronic commerce industry concerning AIGC to provide technical, managerial, and policy implications.

Guest editors:

Kai Li
Nankai University, China
likai@nankai.edu.cn 

Yang Li
Shandong Normal University, China
cnjnly@sdnu.edu.cn
 
Jingjun David Xu
City University of Hong Kong, Hong Kong SAR, China
davidxu@cityu.edu.hk  

Special Issue on Explainability, Robustness and Fairness for User-centric Intelligent Systems
Submission Date: 2024-03-01

This special issue invites submissions featuring original research related to designing approaches related to topics of explainability, robustness and fairness issues for user-centric intelligent systems.

Guest editors:
Yong Ge, The University of Arizona
Hongke Zhao, Tianjin University College of Management and Economics
Hao Zhong, ESCP Business School

Special issue information:
This special issue focuses on three important issues for user-centric intelligent systems: explainability, robustness, and fairness. Firstly, as most algorithms work as black-box processes, explainability is essential for gaining trust, and turning predictions into actions. Secondly, these systems are quite vulnerable to attacks and distribution shifts. Robustness is vital for making trustworthy decisions. Lat but not least. As algorithmic predictions are used in many sensitive environments, how to ensure that these decisions are fair and do not discriminating certain groups or individuals?This special issue invites submissions featuring original research related to designing approaches related to topics of explainability, robustness and fairness issues for user-centric intelligent systems. Special areas of interests include, but not limited to:
1. Studies of designing explainable models or interactive visual analytics systems, natural language explanations, or conversational algorithms for user-centric intelligent systems.2. Studies of vulnerability and unstableness in intelligent systems, designing robust and stable algorithms to tackle various attacks or under non-stationary testing scenarios.3. Discovering unfairness in intelligent systems, designing fairness metrics, and developing fairness-aware models for decision making.4. Novel data-driven application scenarios for explainable, robust and fair decision making, and related issues for socially responsible users-centric intelligent systems, such as privacy preserving for users, causal reasoning for data-driven applications.

Manuscript submission information:
Submission Portal will be open from 01-Sep-23, to 01-Mar-24