ISSN: 1526-6133 (Online) 1938-9027 (Print) Journal of Electronic Commerce Research (JECR) is a quarterly peer-reviewed (double blind) journal with both paper and electronic publication. It provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to electronic commerce theories and applications. The journal focuses on electronic commerce including their theoretical foundations, infrastructure, and enabling technologies.

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Special Issue on Development of AGI in e-commerce
Submission Date: 2024-11-20

Introduction

Artificial intelligence (AI) is an important integral part of e-commerce. The use of AI in various
forms of AI-powered tools (e.g., chatbots, smart search, personalized product recommendations,
and demand forecasting) provides extensive benefits by increasing efficiency, automating processes,
and boosting profits (Ge et al., 2021; Luo et al., 2019; Tong et al., 2021). With the launch of ChatGPT,
we have witnessed the huge potential of Artificial General Intelligence (AGI) triggering
transformative changes in the e-commerce industry (Dwivedi et al., 2023). E-commerce giants
including Taobao, JD, and Amazon are deploying AGI applications to enhance consumer
experiences. For instance, Amazon has deployed AGI to summarize all the online reviews of a
product to present all the product quality information together, thereby helping consumers make a
faster purchase decision. With the support of AGI, Taobao and JD have employed digital live
streamers to promote products. Moreover, the newest introduced Sora system can generate realistic
and imaginative scenes from text instructions, which may revolutionize the content creation
ecosystem in the e-commerce industry.

Undoubtedly, AGI has injected vitality into e-commerce. The application and development of AGI
in e-commerce have attracted considerable attention from academic communities and practitioners.
On the one hand, AGI allows e-commerce businesses to improve their profitability and effectiveness.
It has automated many processes of e-commerce businesses, including personalized marketing
campaigns and recommendations. On the other hand, the application of AGI in e-commerce also
yields negative consequences related to trust, responsibility, fairness, discrimination, privacy, ethics,
and unemployment.

This special issue calls for the various research perspectives and the latest trends of AGI in e-
commerce. This special issue is interested in novel and thought-provoking contributions about the
impact of AGI on the e-commerce industry across all levels and domains. We welcome extensive
research on related issues without any constraints in terms of theory, method, or context. Topics that
are of interest to this special issue include, but are not limited to:

- Future trends of AGI development in e-commerce
- Case studies on the application of AGI in e-commerce
- Digital humans in e-commerce
- Impact of AGI on consumer behavior
- Impact of AGI on sale performance
- AGI-powered agents' adoption and acceptance in e-commerce
- Innovative applications and new methods of AGI in e-commerce
- Dark side of AGI in e-commerce
- Social and ethical governance of AGI
- Application of AGI in logistics operations
- Impact of AGI on consumer decisions
- Human-AGI collaboration
- Impact of AGI on employee performance
- Bias, discrimination, and fairness in AGI systems
- Transparency and explainability of AGI
- Trust and accountability of AGI
- Privacy and data breaches relevant to the usage of AGI
- Strategies for responding to AGI
- Technical design for AGI deployment

Guest Editors:
• Xusen Cheng, Renmin University of China, China, (email: xusen.cheng@ruc.edu.cn)
• Jian Mou, Pusan National University, South Korea (email: jian.mou@pusan.ac.kr)
• Yonggui Wang, Zhejiang Gongshang University, China, (ygwang@zjsu.edu.cn)
• Alex Zarifis, University of Southampton, UK, (a.zarifis@soton.ac.uk)

Submission Instructions:
All papers should be submitted as a WORD document (in Microsoft Word format) to
xusen.cheng@ruc.edu.cn and carbon copy to the Editor-in-chief, Professor M.Y. Kiang (e-mail:
Melody.Kiang@csulb.edu). Authors should follow the submission guidelines at
http://www.jecr.org/node/324 when preparing the submission. All papers will undergo the journal’s
standard double-blind review processes.

Important dates:
Open submission: 05/07/2024
Submission due: 20/11/2024

References
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M.,
Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S.,
Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R.
(2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities,
challenges and implications of generative conversational AI for research, practice and
policy. International Journal of Information Management, 71, 102642.
https://doi.org/10.1016/j.ijinfomgt.2023.102642
Ge, R., Zheng, Z. (Eric), Tian, X., & Liao, L. (2021). Human–Robot Interaction: When Investors
Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending. Information Systems
Research, 32(3), 774–785. https://doi.org/10.1287/isre.2021.1009
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. Humans: The Impact of
Artificial Intelligence Chatbot Disclosure on Customer Purchases. Marketing Science,
38(6), 937–947. https://doi.org/10.1287/mksc.2019.1192
Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback:
Deployment versus disclosure effects on employee performance. Strategic Management
Journal, 42(9), 1600–1631. https://doi.org/10.1002/smj.3322