We invite original research articles that examine how AI-induced uncertainties are reshaping the landscape of e-business—spanning consumers, firms, industries, and governments—and addressing both strategic and technical dimensions. For instance, submissions may explore shifting consumer behavior under algorithmic influence, personalized marketing amid data volatility, and the implications of AI for customer experience and satisfaction in uncertain environments. For businesses, articles could investigate how firms are integrating AI into supply chains, navigating dynamic decision-making under data ambiguity, and maintaining operational resilience. Industry-oriented studies might delve into the role of AI in driving innovation, transforming competitive dynamics, and enabling or disrupting sector-specific transformations. Government-related topics may include policy responses to AI disruptions, evolving regulatory frameworks, and the ethical deployment of AI in public services. We also welcome research that critically examines how AI-driven strategies align with principles of corporate social responsibility, ethical governance, and stakeholder accountability.

We encourage submissions that offer theoretical advancements, empirical insights, and practical implications for understanding how e-business evolves in an age of intelligent systems and strategic uncertainty.

Research topics may include, but are not limited to: 

• AI Transformation for E-business

• Artificial Intelligence Enabled Business Applications 

• Social, Ethical, Policy, and Privacy Issues Related to e-Business 

• Resilient e-Business Models amid Uncertainty

• Mobile Business and Applications 

• Innovative e-Business Models for Crisis Management 

• Corporate Social Responsibility in e-Business  

• Digital Product Design 

• The Ethical and Social Implications of AI for e-Business 

• Enhancing Customer Experience Through AI 

• Implementing AI for Fraud Detection and Prevention 

• Technology Applications in Revolutionizing Financial Reporting and Analysis 

• Sustainable Business through Intelligent Technologies

Submission Guidelines: 

All papers must be submitted online via EasyChair 

(https://easychair.org/conferences/?conf=web2025), and will undergo a double-blind review process. We solicit both completed research and research-in-progress submissions. Complete research papers should be no more than 12 pages in length, including abstract, figures, tables, and references. Research in-progress papers should not exceed 7 pages, inclusive of all content. 

All texts (excluding the title and section headings) must be in 12-point Times New Roman font. The paper must be single-spaced with 1-inch margins on all sides. Accepted file formats are PDF and Microsoft Word. The first page of the paper should include the title and the abstract. Please do not disclose any author information in the manuscript. At least one author of each accepted paper must register for WeB 2025 in order to present their work at the workshop. 

Post-conference Publication: 

With the authors’ consent, accepted conference papers will be published as a Lecture Notes in Business Information Processing (LNBIP) by Springer. 

Papers accepted to WeB 2025 will have the opportunity to be invited for publication in a special issue of a leading academic journal. The detailed information will be available soon.