BIS (Business Information Systems) is a renowned international conference focusing on the development, implementation, application, and improvement of computer systems for business.

BIS 2026 will be the 26th event in a series of international conferences: https://bisconf.org/2026/previous-bis/

Since its inception, BIS has been recognized by scientists and business practitioners as a premier forum for sharing and discussing cutting-edge research and practical advances in business information systems.

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💡 From Hype to Impact: Turning AI into Real Business Value

Artificial intelligence has evolved from a promising frontier into a core driver of business strategy and innovation. Yet, many organizations struggle to turn AI experiments into measurable business results. The BIS 2026 theme — “From Hype to Impact: Turning AI into Real Business Value” — reflects this essential transformation.

Businesses today are not short of AI opportunities; they are challenged by how to translate them into growth, efficiency, and competitiveness. The focus is shifting from fascination with AI’s potential to execution and impact. True success comes from embedding AI in processes, decision-making, and products — aligning technology with strategy, redesigning operations, and fostering a data-driven culture.

As AI technologies — from generative models and predictive analytics to autonomous systems — continue to mature, organizations must navigate issues of data quality, ethics, and readiness. The journey from hype to impact requires balancing innovation with practical implementation and sustainability, especially as AI costs often exceed immediate returns.

BIS 2026 invites researchers, practitioners, and innovators to explore how AI can deliver real business value — not merely as a disruptive tool, but as a foundation for meaningful transformation in the digital economy.

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🧩 Topics of Interest

💻 Artificial Intelligence

• AI methods and tools
• Data mining, machine learning, deep learning
• Cognitive computing in business
• Responsible AI and bias mitigation
• Process automation (RPA)
• AI-driven software development

🗣️ Large Language Models

• Credibility of information
• Misinformation and disinformation detection
• Generative AI for text creation
• Customer service and chatbots
• Emotion recognition and sentiment analysis

🌐 Knowledge Graphs

• Knowledge representation and reasoning
• Knowledge graphs and LLM synergy
• Knowledge-intensive enterprise support
• Data quality and curation
• Linked data, open data
• Semantic web applications

🎥 Multimodal Models

• Audio and vision models
• Image classification, object detection, segmentation
• Video analysis
• Deepfake detection

📊 Big Data and Data Science

• Data science for business systems
• Business intelligence
• Big data analytics and streaming analytics
• Standards and models for smart data
• Data integration from web sources

⚙️ Digital Transformation

• Integration of digital technologies in business
• Green transformation and sustainability (ESG)
• Digital twins in manufacturing
• Blockchain for business processes
• IoT-driven operational efficiency
• Process management and process mining

🌍 Modern Society

• Corporate social responsibility (CSR)
• Propaganda and fake news
• Social media and privacy
• Human-AI interaction
• Digital cultures

🏙️ Applications, Evaluations, and Experiences

• Smart cities and infrastructures
• Digital administration
• Ethics in business information systems
• Industry-specific applications
• ICT project management

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📝 Submission Guidelines

BIS 2026 proceedings will be published in the Lecture Notes in Business Information Processing (LNBIP) series by Springer Nature.

Information for authors - Springer LNCS/LNBIP guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

• All papers must use the official Springer templates: LaTeX (https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238648/data/v8) or MS Word (https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238706/data/v5)
• Maximum length: 12 pages (including abstract and references)
• Papers must represent original, unpublished work free from plagiarism
• Submissions are not blinded
• Authors must follow Springer’s AI and generative image policies: https://www.springer.com/gp/editorial-policies/artificial-intelligence--ai-/25428500
• Submission system: https://bisconf.org/2026/call-for-papers/

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🏛️ Conference Venue

• Prague University of Economics and Business
• Website: https://www.vse.cz/english

BIS 2026 will be held in person only (no remote participation).

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📅 Important Dates

• Paper submission deadline: January 15, 2026
• Notification of acceptance: March 4, 2026
• Camera-ready submission: March 25, 2026
• Conference dates: June 10–12, 2026

More information can be found on the BIS 2026 website: https://bisconf.org/2026