We cordially extend an invitation for paper submissions to the 26th International Conference on Electronic Commerce (ICEC 2025), taking place in Tianjin, China from June 6-8, 2025, in collaboration with Nankai University.

   ICEC, a globally acclaimed academic conference since 1998, focuses on the intersection of information technology and management in e-commerce, having been previously hosted in various countries including China, South Korea, Austria, the United States, Netherlands, Singapore, and the United Kingdom.

   The guiding theme for ICEC 2025 is “Transforming E-Commerce with AI: Navigating Innovation, Personalization, and Ethical Challenges”. We warmly welcome submissions of original research papers offering fresh insights concerning the theory, design, development, evaluation, and applications in e-commerce. Both research-in-progress papers (as extended abstracts) and completed papers that offer innovative and early-stage research inspirations are appreciated. For conference updates, visit: https://www.tjhongcheng.com/icec2025/120.html

SUGGESTED TOPICS (not limited)

·Technological innovation in E-Commerce: Explore how technologies innovation are transforming the e-commerce industry through advancements such as intelligent artificial (AI), intelligent search engines, dynamic pricing algorithms and chatbot, and virtual try-on experiences. Dive into these technologies transformative role in optimizing supply chains, enhancing inventory management, revolutionizing logistics for growth and innovation in the industry.

·Digital Marketing and Social Commerce: Examine how social media platforms enhance consumer engagement and drive sales by integrating shopping features directly into their interfaces. Analyze the impact of influencer marketing and user-generated content in fostering trust and shaping purchasing decisions.

·Supply Chain and Logistics Management: Explore strategies to improve supply chain efficiency through real-time tracking, automated warehousing, and inventory forecasting. Focus on last-mile delivery innovations like drones and autonomous vehicles to meet consumer demands for fast and reliable shipping. Highlight the importance of sustainable logistics in reducing costs and environmental impact.

·Business Models and Platform Ecosystems: Analyze innovative business models such as subscription services and direct-to-consumer strategies, which provide novel approaches for engaging with customers. Examine the competitive dynamics and collaborative opportunities among platforms, and emphasize the development of creative ecosystems that effectively balance customer satisfaction with sustainable profitability.

·Personalization and Customer Experience with AI: Examine how AI customizes shopping experiences to enhance customer satisfaction and build stronger customer relationships. It emphasizes AI’s ability to enhance customer satisfaction, fosters loyalty, and builds stronger relationships by delivering tailored, user-centric interactions. By transforming traditional shopping into seamless and intuitive experiences, AI boosts engagement and fosters stronger connections with customers.

·AI and Consumer Behavior in E-Commerce: Explore how AI analyzes consumer data to identify behavioral patterns and predict shopping preferences. It focuses on understanding the motivations driving purchasing decisions and highlights how AI delivers actionable insights, enabling businesses to adapt effectively to evolving market dynamics.

·Payment Systems and Financial Technology (FinTech): Explore the role of digital wallets, mobile payments, and blockchain in creating secure and seamless transactions. Study the adoption of cryptocurrencies in e-commerce and their potential impact. Highlight how FinTech innovations address fraud and enhance trust in online transactions.

·Sustainability and Green E-Commerce: Research eco-friendly practices such as green packaging, sustainable logistics, and energy-efficient operations. Explore consumer preferences for environmentally conscious businesses and how these influence buying behavior. Study the role of e-commerce in promoting the circular economy.

·Ethical Implications in AI for E-Commerce: Discuss the ethical challenges of using AI in e-commerce, including algorithmic bias, inclusivity, the ethics of personalized targeting, data privacy, security, and the spread of misinformation in user-generated content and reviews. It highlights the necessity of transparency in AI decision-making to build consumer trust and promote responsible and ethical AI practices.

·Future Trends for E-Commerce: Speculate on future trends and disruptive innovations in AI, such as its integration with the metaverse, advancements in conversational AI, and immersive shopping technologies. Evaluate the potential societal impacts, regulatory challenges, and transformative possibilities that AI brings to the future of commerce.

    Selected papers from ICEC 2025 may be invited to contribute to special issues (https://www.icec.net/icec2025/specialissues) of journals such as Information and Management (SCI/SSCI, Elsevier), Data Science and Management (Scopus, Elsevier), and Nankai Business Review International. Presentation at ICEC2025 not only promises a significant publication channel, but also an opportunity to garner constructive feedback and potential collaborators for ongoing research.

PAPER SUBMISSION GUIDELINES

· Submitted papers must contain original work not previously published, or currently under review elsewhere.

· Submissions will be processed through EasyChair: 
https://easychair.org/conferences/?conf=icec2025

· All papers must be written in English. A full paper should not exceed 8 pages, including figures and references. A short paper (research-in-progress or extended abstract) is limited within 3 pages. Only full papers will be considered for the invitation to special issues and as candidates for the best paper award. All papers including workshop papers must be submitted through the EasyChair conference submission system.
[Submission Template]

IMPORTANT DATES

· Deadline for paper submission: March 30, 2025

· Notification of acceptance: April 10, 2025

· Deadline for final camera-ready version of accepted papers: April 30, 2025

· Conference Dates: June 6-8, 2025

CONFERENCE ORGANIZERS

· International Center for Electronic Commerce (https://icec.net)

· Nankai University Tianjin, China

· Korea Intelligent Information Systems Society

 HONORARY CHAIRS

· Jae Kyu Lee(jklee@kaist.ac.kr), Professor, Chair Professor of Xi'an Jiaotong University and Professor Emeritus of KAIST

· Changhong Bai(nkbai@nankai.edu.cn), Professor, Dean, Business School, Nankai University

· Gyoo Gun Lim(gglim@hanyang.ac.kr), President, ICEC Center, Professor & Dean, Hanyang University

· Jung Seung Lee(leebahk@gmail.com), President-Elect of Korea Intelligent Information Systems Society (2025), Professor, HoSEo University

CONFERENCE CHAIRS   

· Yongjian Li(liyongjian@nankai.edu.cn), Professor, Business School, Nankai University

· Hyung Yong Lee(leemit@hansung.ac.kr), Professor, Hansung University, President-Elect KIISS (2026)

PROGRAM CHAIRS

· Kai Li(likai@nankai.edu.cn), Professor, Associate Dean, Business School, Nankai University

· Gene Moo Lee(gene.lee@sauder.ubc.ca), Professor, University of British Columbia

· Alvin Leung(alvincml@gmail.com), Professor, City University of Hong Kong

· Sung Byung Yang(sbyang@khu.ac.kr), Professor, Business School, Kyunghee University

· 

ORGANIZING CHAIRS

· Yi Wu (yiwu@tju.edu.cn), Associate Professor, College of Management and Economics, Tianjin University

· Xiaofei Zhang (xiaofei.zhang2008@gmail.com), Professor, School of Management, Harbin Institute of Technology

· Mengli Yu (mengliyu@nankai.edu.cn), Assistant Professor, School of Journalism and Communication, Nankai University

· Jumin Lee(juminlee@khcu.ac.kr), Professor, Kyunghee Cyber University

· Sai Liang (liangsai@nankai.edu.cn), Associate Professor, College of Tourism and Service Management, Nankai University

·  Jian Mou (jian.mou@pusan.ac.kr), Professor, Business School, Pusan National University

SPECIAL ISSUE CHAIRS AND GUEST EDITORS

· Taeho Hong(taeho.hong@gmail.com), President KIISS (2024), Professor, Pusan National University

Information & Management：Bright Internet through Secure and Responsible Artificial Intelligence (http://brightinternet.org/special-issues)

· Alvin Leung(alvincml@gmail.com), Professor, City University of Hong Kong

· Gene Moo Lee(gene.lee@sauder.ubc.ca), Professor, University of British Columbia

Data Science and Management：

· Shan Liu (shanliu@xjtu.edu.cn), Professor, Xi’an Jiaotong University

Nankai Business Review International

· Yi Wu (yiwu@tju.edu.cn), Associate Professor, College of Management and Economics, Tianjin University

· Xiaofei Zhang (xiaofei.zhang2008@gmail.com), Professor, School of Management, Harbin Institute of Technology

· Mengli Yu (mengliyu@nankai.edu.cn), Assistant Professor, School of Journalism and Communication, Nankai University

· Sai Liang (liangsai@nankai.edu.cn), Associate Professor, College of Tourism and Service Management, Nankai University

PROGRAM COMMITTEE

· Donghyuk Shin(dhs@kaist.ac.kr), Associate Professor, KAIST

· Dongwon Lee(dongwon@ust.hk), Associate Professor, HKUST

· Myunghwan Lee(myunghwanlee@cuhk.edu.hk), Assistant Professor, Chinese University of Hong Kong

· Wooje Cho(woojecho@snu.ac.kr), Associate Professor, Seoul National University

· Jiyong Park(jiyong.park@uga.edu), Assistant Professor, University of Georgia

· Yoonseok Son(yson@nd.edu), Assistant Professor, University of Notre Dame

· Miyeon Jung(miyeon.jung@unlv.edu), Assistant Professor, University of Nevada Las Vegas

· Hyeokkoo Eric Kwon(eric.kwon@ntu.edu.sg), Assistant Professor, Nanyang Technological University

· Martin Kang(martin.kang@lmu.edu), Assistant Professor, Loyola Marymount University

· Pan Li(pan.li@scheller.gatech.edu), Assistant Professor, Georgia Institute of Technology

· Guohou Shan(g.shan@northeastern.edu), Assistant Professor, Northeastern University

· Yifan Yu(Yifan.Yu@mccombs.utexas.edu), Assistant Professor, University of Texas at Austin

· Wilson Li(wilson.li@deakin.edu.au), Lecturer, Deakin University

· Amanda Chu(amandachu@eduhk.hk), Assistant Professor, The Education University of Hong Kong

· Anik Mukherjee(anik.mukherjee@iimcal.ac.in), Assistant Professor, Indian Institute of Management, Calcutta

· Tianjian Zhang(tzhang@csudh.edu), Assistant Professor, California State University, Dominguez Hills

· Thi Tran(ttran9@binghamton.edu), Assistant Professor, Binghamton University

· Hong Joo Lee(hongjoo@catholic.ac.kr), Catholic University

· OhByung Kwon(obkwon@khu.ac.kr), Kyunghee University

· Jae Won Choi(jaewonchoi@sch.ac.kr), Soonchunhyang University

· JongWook  Choi, Mark Any

· Lou Liguo(alexlou87@hotmail.com), Ningbo University of Technology

· Ju Young Kang(jykang@ajou.ac.kr), Ajou University

· Sung Bum Park(parksb@hoseo.edu ), HoSeo University

· Jung Hun Lee(jhoonlee@yonsei.ac.kr), Yonsei University

· Younghoon Chang(younghoonchang@bit.edu.cn),  Beijing Institute of Technology

· Dong Yeon Kim(dykim88@hanyang.ac.kr), Hanyang University

· Daegon Cho(daegon.cho@yonsei.ac.kr), Yonsei University

· SeungIk Baek(sbaek@hanyang.ac.kr), Hanyang University

· HyunChul Ahn(hcahn@kookmin.ac.kr),  Kookmin University

· Namkyu Kim(ngkim@kookmin.ac.kr),  Kookmin University

· Yu DeungSeung(yudengsheng@outlook.com), Wenzhou University of Techonology

· Jun Seok Hong(junehong@kyonggi.ac.kr),  Kyonggi University

· Mou Jian(jian.mou@pusan.ac.kr), Pusan National University

· Spring H. Han(han.hyunjeong.8r@kyoto-u.ac.jp ), Kyoto University

· Hyejung Lee (hlee@rs.tus.ac.jp), Tokyo University of Science

· Chulmo Koo(heltmetgu@khu.ac.kr),  Kyung Hee University

· Sohyeong Kim(sohkim@stanford.edu),  Stanford University

· One-Ki Lee(leeo@vcu.edu),  Virginia Commonwealth University

· Yun Joo Park(yjpark@seoultech.ac.kr),  Seoul University of Science and Technology

· Mye Sohn(myesohn@skku.edu),  Sungkyunkwan University

· Youngseok Bang(yb@yonsei.ac.kr),  Yonsei University

· Kyung Jin Cha(kjcha7@hanyang.ac.kr ), Hanyang University

· Woo Jun Kim(wkim@yonsei.ac.kr ),  Yonsei University

· Sang-Hyeak Yoon(yoonsh@koreatech.ac.kr), KoreaTECH

· Zhaohua Deng(zh-deng@hust.edu. cn), Huazhong University of Science and Technology

· Baojun Gao(gaobj@whu.edu.cn), Wuhan University

· Guoyin Jiang(jiangguoyin@uestc.edu.cn), University of Electronic Science and Technology of China

· Xing Zhang(zhangxing1981@126.com), Wuhan Textile University

· Xiaoxiao Liu(xiaoxiaoliu@xjtu.edu.cn), Xi'an Jiaotong University

· Xiang Gong(xianggong@nwpu.edu.cn), Northwestern Polytechnical University

· Wei Zhao(wei.zhao@xjtu.edu.cn), Xi'an Jiaotong University

· Yang Liu(liuyang.alison@xjtu.edu.cn), Xi'an Jiaotong University

· Quan Xiao(xiaoquan@foxmail.com), Jiangxi University of Finance and Economics

· Yongqing Yang(yyq.name@aliyun.com ), Shandong Technology and Business University

· Hongyi Mao(mao@mail.gufe.edu.cn), Guizhou University of Finance and Economics

· Ligang Cui(cligang@126.com), Chongqing Jiaotong University

· Tailai Wu(wutailai@hust.edu.cn), Huazhong University of Science and Technology

· Xiaosong Wu(xiaosongw@outlook.com), Beijing Normal University

· Yujuan Zheng( zhengyujuan@xidian.edu.cn ), Xidian University

· Hao Wang(wangh_1996@outlook.com), Central China Normal University

· Kezhen Wei(kezhenw001@swufe.edu.cn), Southwestern University of Finance and Economics

· Guangsen Si(guangsensi@163.com), Zhengzhou University

· Feng Liu(liufeng@sdu.edu.cn), Shandong University

· Chao Fang(fangchao@xjtu.edu.cn), Xi'an Jiaotong University

· Le Wang(wangle@xjtu.edu.cn), Xi'an Jiaotong University

· Zhaojin Li(lizhaojin0722@xjtu.edu.cn), Xi'an Jiaotong University

· Lin Wang(wanglin982@163.com), Huazhong University of Science and Technology

· Jin Li(jinlimis@xjtu.edu.cn), Xi'an Jiaotong University

· Hui Li, College of Tourism and Service Management, Nankai University

· Sai Liang, College of Tourism and Service Management, Nankai University

· Caiyan Gong, School of Economics and Management, Harbin Engineering University

· Yang Qian, School of Management, Hefei University of Technology

· Kun Yuan, School of Management, Hefei University of Technology

· Xinxin Guo, School of Management, Jiangsu University

· Yuanchun Jiang, School of Management, Hefei University of Technology

· Yezheng Liu, School of Management, Hefei University of Technology

· Ziqiong Zhang,  School of Economics and Management, Harbin Institute of Technology

· Shaohui Wu, School of Economics and Management, Harbin Institute of Technology

· Dapeng Pan, Research Center of Cyber Science and Technology, Hangzhou Innovation Institute, Beihang University

· Zhao Cai, Nottingham University Business School China, University of Nottingham Ningbo China

· Meng Chen, School of Management, University of Science and Technology of China

· Mengli Yu, School of Journalism and Communication, Nankai University

· Haiyang Feng, College of Management and Economics, Tianjin University

· Nan Yuan, School of Management Science and Engineering, Tianjin University of Finance and Economics

· Zhongtao Hu, School of Economics and Management, Hebei University of Technology

· Ling Zhao, School of Management, Huazhong University of Science & Technology

· Xin Fu, School of Management, Xiamen University

· Fanbo Meng, School of Business, Jiangnan University

· Shuqing Chen, School of Medicine and Health, Harbin Institute of Technology

· Xiumei Ma, School of Public Administration, Sichuan University

· Xiaochao Wei, School of Economics, Wuhan University of Technology

· Jiang Wu, School of Information Management, Wuhan University

· Chaocheng He, School of Information Management, Wuhan University

· Xusen Cheng, School of Information, Renmin University of China

· Jian Mou, School of Business, Pusan National University

· Alex Zarifis, Southampton Business School, University of Southampton

CONFERENCE LOCATION

· Business School, Nankai University 
(https://bs.nankai.edu.cn/en/)
Address: 121 Baidi Road, Tianjin, 300071, China

Conference Secretariat

· Xinyao Yu(ICEC2025@163.com), Nankai Business School

· Jae Ik Ahn(contact@icec.net), ICEC Center

Waived Copyright of ICEC Conference Proceedings

· All submitted papers will be blindly reviewed by peers to decide the acceptance, and the accepted papers must be presented according to its scheduled sessions. The best papers will be selected and awarded, and qualified papers will be invited to the special issues of companion journals of the year.

ICEC certifies the presentations of accepted papers through its proceedings webpage, but does not hold the copyright so that authors can submit their presented papers to journals without any conflict with the publication in the proceedings.

 HONORARY CHAIRS

·Jae Kyu Lee(jklee@kaist.ac.kr), Professor, Chair Professor of Xi'an Jiaotong University and Professor Emeritus of KAIST

·Changhong Bai(nkbai@nankai.edu.cn), Professor, Dean, Business School, Nankai University

·Gyoo Gun Lim(gglim@hanyang.ac.kr), President, ICEC Center, Professor & Dean, Hanyang University

·Jung Seung Lee(leebahk@gmail.com), President-Elect of Korea Intelligent Information Systems Society (2025), Professor, HoSEo University

CONFERENCE CHAIRS   

·Yongjian Li(liyongjian@nankai.edu.cn), Professor, Business School, Nankai University

·Hyung Yong Lee(leemit@hansung.ac.kr), Professor, Hansung University, President-Elect KIISS (2026)

PROGRAM CHAIRS

·Kai Li(likai@nankai.edu.cn), Professor, Associate Dean, Business School, Nankai University

·Gene Moo Lee(gene.lee@sauder.ubc.ca), Professor, University of British Columbia

·Alvin Leung(alvincml@gmail.com), Professor, City University of Hong Kong

·Sung Byung Yang(sbyang@khu.ac.kr), Professor, Business School, Kyunghee University

ORGANIZING CHAIRS

·Yi Wu (yiwu@tju.edu.cn), Associate Professor, College of Management and Economics, Tianjin University

·Xiaofei Zhang (xiaofei.zhang2008@gmail.com), Professor, School of Management, Harbin Institute of Technology

·Mengli Yu (mengliyu@nankai.edu.cn), Assistant Professor, School of Journalism and Communication, Nankai University

·Jumin Lee(juminlee@khcu.ac.kr), Professor, Kyunghee Cyber University

·Sai Liang (liangsai@nankai.edu.cn), Associate Professor, College of Tourism and Service Management, Nankai University

· Jian Mou (jian.mou@pusan.ac.kr), Professor, Business School, Pusan National University

SPECIAL ISSUE CHAIRS AND GUEST EDITORS

·Taeho Hong(taeho.hong@gmail.com), President KIISS (2024), Professor, Pusan National University

Information & Management: Bright Internet through Secure and Responsible Artificial Intelligence (http://brightinternet.org/special-issues)

·Alvin Leung(alvincml@gmail.com), Professor, City University of Hong Kong

·Gene Moo Lee(gene.lee@sauder.ubc.ca), Professor, University of British Columbia

Data Science and Management:

·Shan Liu (shanliu@xjtu.edu.cn), Professor, Xi’an Jiaotong University

Nankai Business Review International

·Yi Wu (yiwu@tju.edu.cn), Associate Professor, College of Management and Economics, Tianjin University

·Xiaofei Zhang (xiaofei.zhang2008@gmail.com), Professor, School of Management, Harbin Institute of Technology

·Mengli Yu (mengliyu@nankai.edu.cn), Assistant Professor, School of Journalism and Communication, Nankai University

·Sai Liang (liangsai@nankai.edu.cn), Associate Professor, College of Tourism and Service Management, Nankai University

Conference Secretariat

·Xinyao Yu(ICEC2025@163.com), Nankai Business School

·Jae Ik Ahn(contact@icec.net), ICEC Center

Special Session on: Harnessing AI for Data Marketplace Innovation in E-commerce Space

Session Description: 

Data is now considered a key production asset, paralleling the traditional elements of land, labor, and capital. In the era of digital economy, data not only serves as a foundational resource but also generates substantial value for organizations and individuals who possess the expertise to exploit it. However, despite its importance, the ability to unlock data’s true value remains limited by challenges in its collection, integration, sharing, discovery, and trading. In this context, new business models and data marketplaces (liking e-commerce platforms) have emerged to address these issues. Artificial intelligence (AI) serves as a powerful tool for facilitating more efficient and effective data exchanges. This session explores the transformative potential of AI in shaping data marketplaces in the e-commerce space. The session invites researchers to submit technical papers, position papers, and other research papers. Submissions are encouraged on, but not limited to, the following topics:

s Commerce platform designs for data marketplaces

s AI techniques for constructing high-quality datasets

s Data splitting and aggregation methods in data transactions

s Machine learning model-based data valuation and pricing for data marketplaces

s Data supply-demand matching mechanism including searching and recommendation methods

s Risk perception and identification methods in the data transaction process.

s Privacy detection and protection methods in the data transaction process

s Revenue-sharing methods in data marketplaces

Session Chairs:

Yang Qian, School of Management, Hefei University of Technology

Kun Yuan, School of Management, Hefei University of Technology

Xinxin Guo, School of Management, Jiangsu University

Yuanchun Jiang, School of Management, Hefei University of Technology

Yezheng Liu, School of Management, Hefei University of Technology

Special Session on:  AIGC in E-Commerce Marketing

Session Description:  

Explore how AIGC is reshaping e-commerce marketing by transforming content creation, distribution models, and customer engagement. This session focuses on the following key areas:

s Brand Storytelling: Analyze how AIGC-generated personalized content helps brands create unique identities and forge emotional connections with consumers.

s Consumer Social Interactions: Examine the role of AIGC in enhancing social media advertising, user-generated content interactions, and community building.

s Dynamic Marketing: Investigate how AIGC enables rapid responses to market demands, including real-time personalized recommendations, dynamic pricing, and multi-channel marketing.

s Optimizing Marketing Process Efficiency: Highlight how AIGC-driven content automation and data analytics improve decision-making efficiency, reduce marketing costs, and optimize resource allocation.

This session provides insights into how AIGC drives innovation in e-commerce marketing strategies and transforms the customer experience.

Session Chairs：

Ziqiong Zhang,  School of Economics and Management, Harbin Institute of Technology

Shaohui Wu, School of Economics and Management, Harbin Institute of Technology

Dapeng Pan, Research Center of Cyber Science and Technology, Hangzhou Innovation Institute, Beihang University

Special Session on: Digital Technologies for Operational Excellence and Innovation

Session Description: 

In a rapidly evolving digital landscape, digital technology serves as the backbone for achieving operational excellence and driving innovation in the realm of electronic commerce. This special session delves into the transformative role of advanced digital technologies, including but not limited to automation, data analytics, IoT, and blockchain, in reshaping e-commerce operations. The focus is on enhancing operational efficiency, improving customer experiences, and fostering process innovation. By exploring these themes, the session aims to provide insights into how e-commerce entities can leverage technology to streamline their operations and maintain a competitive edge.

Key topics include but are not limited to:

s Integration of automation and robotics for operational efficiency in e-commerce supply chains

s The role of data analytics in enhancing customer engagement and personalization

s Leveraging IoT for real-time inventory management and logistics optimization

s Blockchain applications for secure and transparent transaction processing

s Strategies for fostering technological innovation in product and service offerings

s Case studies of successful technology adoption leading to operational excellence

This session is ideal for researchers, practitioners, and industry leaders who are interested in exploring the intersection of technology and operational strategy within the e-commerce sector. We are calling for empirical studies applying quantitative or qualitative methods to examine digital technologies in e-commerce operations. Participants will gain valuable knowledge on cutting-edge technologies driving the future of commerce.

Session Chairs：

Zhao Cai, Nottingham University Business School China, University of Nottingham Ningbo China

Meng Chen, School of Management, University of Science and Technology of China

Mengli Yu, School of Journalism and Communication, Nankai University

Special Session on: The Impact of AIGC on Market Dynamics

Session Description: 

As Artificial Intelligence Generated Content (AIGC) rapidly evolves, it profoundly influences stakeholder behavior, competitive strategies, pricing models, and overall market dynamics. This session explores how AIGC transforms content creation, distribution, and consumption by investigating behavioral modeling, competitive strategies, pricing optimization, empirical market impacts, and the design of human-machine collaboration mechanisms.

We invite submissions that examine the following themes:

s Behavioral Modeling of AIGC Stakeholders: Investigate how content creators, consumers, and platforms make strategic decisions to maximize engagement, quality, and relevance of AI-generated content.

s Competitive Strategies in AIGC Creation and Distribution: Analyze how brands, AI tools, and creators compete or collaborate in content differentiation, imitation, and pricing across varied market structures.

s Pricing and Revenue Optimization: Explore dynamic pricing strategies, including auction models, signaling games, and bargaining models, to determine optimal pricing based on consumer willingness to pay and content scarcity in AIGC markets.

s Empirical Analysis of AIGC Adoption and Market Impact: Conduct empirical studies to assess how the adoption of AIGC affects market dynamics, consumer behavior, and platform performance. Utilize large datasets and statistical methods to evaluate the real-world implications of AIGC implementation.

s Designing Effective Human-Machine Collaboration in AIGC Creation: Examine how the design of collaboration mechanisms between humans and AI systems in content creation influences market dynamics, including competition, innovation, consumer preferences, and market structure.

Session Chairs：

Haiyang Feng, College of Management and Economics, Tianjin University

Nan Yuan, School of Management Science and Engineering, Tianjin University of Finance and Economics

Zhongtao Hu, School of Economics and Management, Hebei University of Technology

Special Session on: GenAI Enabled Innovation in Electronic Commerce

Session Description:  

The rapid advancement of GenAI technologies is reshaping the landscape of e-commerce, driving innovation across all aspects of e-commerce. Various innovations including business model innovation, service innovation, product innovation and operation model innovation are enabled by GenAI in e-commerce. For example, Mattel is employing GenAI technology to produce images for toy design and promotional objectives, while Amazon employs generative AI algorithms to deliver exquisitely personalized product recommendations. Although many GenAI enabled innovations emerge, the internal mechanisms that how GenAI enables such innovations and their effectiveness are still not clear. Challenges are encountering by e-commerce participants when they utilize GenAI to innovate. Besides, many of the innovations are not sustainable and bring little benefits to e-commerce participants. Therefore, this track will explore how GenAI drive sustainable and effective innovation for e-commerce. Key topics include but are not limited to: GenAI enabled product/service innovation and consumer behavior, design and use of GenAI in e-commerce; GenAI enabled innovation in live-streaming e-commerce; performance of GenAI enabled innovation; Human-AI collaborations in e-commerce; ethical issues of GenAI enabled innovation in e-commerce.

Session Chairs:

Ling Zhao, School of Management, Huazhong University of Science & Technology

Yongqing Yang, Shandong Technology and Business University

Xin Fu, School of Management, Xiamen University

Tailai Wu, School of Medicine and Health Management, Huazhong University of Science & Technology

Special Session on: Digital Healthcare Marketplace

Session Description: 

As the digital healthcare industry evolves, e-commerce platforms are playing a pivotal role in bridging the gap between patients, healthcare providers, and wellness product vendors. This session explores how these platforms are reshaping healthcare accessibility, affordability, and patient engagement, while also delving into the transformative impact of technologies like AI, telemedicine, and wearables. These innovations are not only enhancing service delivery but also personalizing healthcare and improving patient outcomes.

We invite submissions that examine the following themes:

s The role of online health platforms in enhancing healthcare access and affordability for diverse patient populations.

s The integration of AI, telemedicine, and wearable technologies in personalizing healthcare and optimizing patient outcomes.

s The challenges associated with data fusion and governance in the digital healthcare ecosystem.

s Technology empowerment and its potential to revolutionize healthcare delivery models.

s Human-machine collaboration in intelligent health management and its effectiveness in improving care delivery.

s Ethical considerations surrounding the use of AI and advanced technologies in healthcare, including privacy, equity, and accountability.

Session Chairs: 

Fanbo Meng, School of Business, Jiangnan University

Shuqing Chen, School of Medicine and Health, Harbin Institute of Technology

Xiumei Ma, School of Public Administration, Sichuan University

Special Session on: AI-Generated Content in E-Commerce: Driving Innovation and Shaping the Future Marketplace

Session Description: 

As AI-generated content (AIGC) gains prominence, its transformative potential in e-commerce continues to expand. This session focuses on how AIGC is reshaping consumer behavior, redefining business models, and unlocking new opportunities for innovation in the digital marketplace.

We welcome submissions that explore the multifaceted role of AIGC in e-commerce, addressing both theoretical insights and practical applications. Topics of interest include:

s Advancements in AIGC-driven marketing strategies and brand storytelling.

s The role of AIGC in fostering immersive and personalized shopping experiences.

s New paradigms for product innovation and co-creation with AI.

s The economic, social, and regulatory impacts of AIGC in e-commerce.

s Emerging trends in AIGC adoption across diverse industries.

Session Chairs: 

Xiaochao Wei, School of Economics, Wuhan University of Technology

Guoyin Jiang, School of Public Administration, University of Electronic Science and Technology of China

Jiang Wu, School of Information Management, Wuhan University

Chaocheng He, School of Information Management, Wuhan University

Special Session on: AIGC and E-commerce Platforms Governance

Session Description:

The extensive application of Artificial Intelligence-Generated Content (AIGC) across e-commerce platforms brings significant conveniences to both consumers and merchants. However, it also generates a series of challenges. For instance, some consumers exhibit resistance and stereotypical biases towards AIGC. Additionally, AIGC itself faces issues such as low-quality information. This session, focusing from the viewpoint of e-commerce platforms, investigates the mechanisms by which consumers on e-commerce platforms develop attitudes towards various forms of AIGC. The objective is to aid platforms in optimizing their use of AIGC and refining their governance strategies. Key topics include but are not limited to: consumer attitudes and perceptions towards AIGC on e-commerce platforms, consumer online engagement based on AIGC, detection of misinformation in AIGC, the impact of platform AIGC applications strategies on consumer experiences, and platform governance strategies for AIGC.

Session Chairs:

Hui Li, College of Tourism and Service Management, Nankai University

Sai Liang, College of Tourism and Service Management, Nankai University

Caiyan Gong, School of Economics and Management, Harbin Engineering University