Active Special Issues 2026
The papers from Active Special Issues that receive the submission of papers. Some of them are invited from the previous ICEC Conference such as ICEC 2023. ECR, ECRA (Electronic Commerce Research and Applications) and DSM with ICEC 2023 belong to this category.
ICEC 2026
Electronic Commerce Research and Applications (ECRA)
Special Issue of ECRA (ICEC 2023)
AIGC-based Business Innovation and Theoretical Exploration
Aims & Scope
AI-generated content (AIGC) is machine-made text based on human search queries. For e-commerce businesses, AIGC not only makes advertisements to attract customers efficiently but also provides personalized interfaces immediately. The growing development of AIGC represented by ChatGPT has attracted widespread discussion in the industry and academia. Although AIGC offers benefits, such as quick turnaround, cost-effectiveness, better SEO, and no writer’s block, we also face the challenges brought by applying AI to generated content, including concerns of plagiarism, potential devaluation, inconsistent quality, and human vetting requirements.
This special issue calls for original high-quality papers that address broad areas of ecommerce challenges and issues in the electronic commerce industry concerning AIGC to provide technical, managerial, and policy implications. Topics of interest include, but are not limited to the following:
- The Adoption and Application of AIGC in E-Commerce
- Personalized Content Generation
- AI-Powered Customer Support
- Consumer Responses to AIGC Ads in E-Commerce
- AI for Social Commerce
- AI-Driven Visual Content Generation
- AI for Sentiment Analysis in E-Commerce
- The Risks Control and Management of AIGC in E-Commerce
- AI-Driven Fraud Detection and Prevention
- Ethical and Legal Implications of AIGC in E-Commerce
Important Dates
- Submission system opens: Sep 1, 2023
- Paper Submission Deadline: Dec 31, 2023
- First review decisions: Mar 31, 2024
- Revised manuscripts due: Jun 30, 2024
- Acceptance decisions: Sep 30, 2024
Submission Guidelines
All papers should be submitted via ECRA’s submission system at https://www.editorialmanager.com/ecra/. Authors should select the "VSI: AIGC" tab when they reach the "Article Type" step in the submission process. Authors should follow Elsevier’s manuscript format, which can be found on the journal’s homepage at https://www.journals.elsevier.com/electronic-commerce-research-and-applications/. The publication of Special Issue papers occurs as soon as possible after their completion using a method called ‘Article-Based Publication’ (ABP). This ensures the rapid publication of individual papers. Our experience suggests that acceptance occurs between 6 to 12 months after a paper’s initial submission, and if it is accepted, it will reach publication in just a month. Authors are encouraged to submit their papers as early as possible to accelerate the review process. For further enquiries, please contact the Guest Editor.
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
Electronic Commerce Research (ECR)
Special Issue of ECR (ICEC 2023)
Emerging Advances in Deep Learning and Computer Vision for Visual Data Search and Mining in E-commerce
Scope
Today, e-commerce is gaining momentum on a worldwide scale. Some of the most critical factors contributing to the growth of the e-commerce sector are the availability of multiple online platforms with a vast number of products, affordable prices, and ease of use for consumers. Thus, many businesses worldwide are now selling their products online through e-commerce websites. Computer vision techniques and deep learning have become valuable tools for visual search and mining within ecommerce. These new techniques use computer vision and deep learning to identify and classify objects in images and videos. Although deep-learning-based learning and computer vision for visual data search and mining in E-commerce is an emerging concept, the demand for visual data search and mining in E-commerce is rising significantly.
Visual data search and mining in E-commerce have a significant role in improving the customer experience of utilizing e-commerce services. Deep learning and computer vision have opened a new vista in visual data search and mining in E-commerce. The dramatic advancement of deep learning and computer vision technologies provides a new possibility for building intelligent systems that can automatically perform the task of searching relevant images or items from massive visual data sets. This special issue provides a platform for researchers, students, engineers, and developers interested in applying deep learning and computer vision in E-commerce. Scope of the special issue include the following:
- Visual data search and data mining in E-commerce with deep learning and computer vision
- Real-time applications of deep learning and computer vision for E-commerce applications
- Challenges and opportunities of deep learning big data analytics in E-commerce
- Deep understanding assisted visual data mining for E-commerce
- Efficient ways of customer trend prediction in E-commerce with deep knowledge and computer vision
- Innovative use cases of deep expertise and computer vision in E-commerce
- Personalized product recommendation in E-commerce application with deep learning and computer vision
- Next digital frontier in E-commerce with deep learning and computer vision technologies
- Computer vision applications in E-commerce with big data analytics
- Visual data mining with deep learning for customized advertisement management and digital marketing in E-commerce
- Enhancing sales and productivity in E-commerce with deep knowledge and computer vision
- Visual data mining for user trend prediction and customer analysis
Submission Deadlines
- The Special Issue Submission Deadline is November 10, 2023
Guest Editors
Dr. Hammam Alshazly
Assistant Professor, Department of Computer Science, Faculty of Computers and Information, South Valley University, Qena 83523, Egypt
Email: ha.alshazly@svu.edu.eg, hammam.alshazly@gmail.com
ResearchGate: https://www.researchgate.net/profile/Hammam-Alshazly
Data Science and Management (DSM)
Special Issue of Data Science and Management (ICEC 2023)
AI-powered E-Commerce and Information Management
Submission Instruction
Manuscripts are recommended to submit to ICEC 2024 submission systems first. Then, accepted manuscripts will be selected and invited to revise to submit via the fast-track submissions system of Data Science and Management (https://www.editorialmanager.com/dsm/default2.aspx). The submission schedule of revised papers and new voluntary and invited submission are:
- Submission Deadline: 31st July, 2024.
- Notification of first round reviews and acceptance: 30th September, 2024.
- Revised manuscripts due: 30th November, 2024.
- Notification of second round reviews and acceptance: 15th January 2025.
- Final manuscript due: 28th February, 2025
- Last date for final acceptance: 15th April, 2025