Calls for Papers (special): Journal of Organizational and End User Computing (JOEUC)


Special Issue On: AI-powered E-Commerce Management and Optimization

Submission Due Date
9/30/2020

Guest Editors
Chia-Huei Wu, Minghsin University of Science and Technology, Taiwan
Lianyong Qi, Qufu Normal University, China
Yuan Yuan, Michigan State University, USA
Kaijian Xia, Changshu Affiliated Hospital of Soochow University, China

Introduction
In the past decades, E-Commerce has played an increasingly important role in people’s daily activities including work, entertainment and life. Benefiting from the economic and convenient advantages of E-Commerce, people can easily browse, buy and comment on their interested products or services through various online shopping platforms such as Amazon and Taobao. On one hand, E-Commerce helps users to save shopping costs and improve shopping experience; on the other hand, it has also been generating an unprecedented volume of online browse/order/comment data which create a main source of big data. How to manage and make full use of the big E-Commerce data in an efficient, economical and privacy-preserving manner is still a fundamental challenge.

Recently, machine learning powered Artificial Intelligence (AI) has emerged as one of the key technologies to realize intelligent data management and business optimization. Therefore, AI has provided a promising way to bridge the main roles of E-Commerce including producers, vendors, consumers and online shopping platforms, as well as their surrounding businesses (e.g., packaging and shipping). However, the adaptation of AI-based methods is highly demanded to achieve their full potentials in the management and optimization of E-Commerce. How to utilize AI technology to minimize the gap between low E-Commerce service quality and high user experience expectation is still an open problem that needs intensive study.

Objective
In this special issue, we look for significant theories, experience and algorithms in tackling new issues that challenge AI-powered E-Commerce Management and Optimization

Recommended Topics
• Intelligent supply chain management in E-Commerce
• AI-based recommender algorithms in E-Commerce
• Smart data collection, processing and integration in E-Commerce
• Cross-platform collaborative decisions in E-Commerce
• Intelligent big data management in E-Commerce
• Security, privacy and trust in E-Commerce
• AI-powered user profile building in E-Commerce
• People-cyber-physical interactions in E-Commerce
• Automatic packaging and intelligent shipping in E-Commerce
• E-Commerce business process optimization based on AI
• Economic, laws and principles for E-Commerce

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on AI-powered E-Commerce Management and Optimization on or before 30 September 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Chia-Huei Wu
Guest Editor
Journal of Organizational and End User Computing
E-mail: chiahuei530@gmail.com