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BIS 2027 : 27th International Conference on Business Information Systems

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Conference Series : Business Information Systems
 
Link: https://bisconf.org/2027
 
When Jun 23, 2027 - Jun 25, 2027
Where Poznań, Poland
Submission Deadline Jan 10, 2027
Notification Due Mar 5, 2027
Final Version Due Mar 24, 2027
Categories    artificial intelligence   business intelligence   human-ai collaboration   information systems
 

Call For Papers

The 27th International Conference on Business Information Systems (BIS 2027) invites researchers, academics, and practitioners to submit original research contributions addressing emerging challenges and innovations in business information systems.

As artificial intelligence becomes deeply integrated into organizations, the focus is shifting from simply adopting AI technologies to effectively orchestrating collaboration between humans and intelligent agents.

BIS 2027 explores how organizations can design, implement, govern intelligent business information systems that combine human expertise with AI capabilities.

The conference provides an international forum for exchanging research findings, innovative approaches, and practical experiences in the development, application, and improvement of information systems for business.

🔬 TOPICS OF INTEREST

BIS 2027 welcomes original research contributions addressing, but not limited to, the following topics:

🤖 Artificial Intelligence
• Enterprise copilots
• Foundation and large language models
• Responsible AI and bias mitigation
• AI governance
• Trust, acceptance and adoption of AI systems

🧠 Agentic Information Systems
• AI agents and multi-agent systems
• Reasoning and planning
• Tool use and function calling
• Agent orchestration and coordination
• Agent governance and control
• No-code, low-code, harness engineering

🤝 Human-AI Collaboration and Augmented Work
• Human-AI teaming
• Hybrid intelligence systems
• Task allocation between humans and AI agents
• AI-assisted decision making
• Measuring productivity and value of human-AI collaboration
• Collaborative intelligence

🔗 Knowledge Representation
• AI in knowledge work
• Knowledge graphs and LLM synergy
• GraphRAG
• Neuro-symbolic AI
• Knowledge-grounded agents
• Quality of data and data curation

🗄️ AI-ready Enterprise Data Platforms
• Data infrastructure for AI systems
• Enterprise memory
• Data science for business systems and applications
• Data spaces
• Standards, data models, and business models for smart data

⚙️ Intelligent Business Process Management
• AI-enhanced BPM
• Adaptive and autonomous business processes
• Process knowledge representation
• Process mining and generative AI
• Workflow synthesis and optimization
• Orchestration of AI services and tools
• Process digital twins

🏢 Enterprise Architecture and Governance
• AI-enabled enterprise architecture
• Enterprise transformation
• Governance of intelligent information systems
• Organizational capabilities for AI adoption

🌐 Digital Twins and World Models
• World models for business systems
• Simulation-based decision support
• Predictive enterprise modelling
• Digital twins for process optimization
• Cyber-physical business systems

👁️ Multimodal Models
• Multimodal retrieval
• Multimodal reasoning
• Visual grounding
• Multimodal enterprise assistants
• Deepfake and asset management
• Document understanding and enterprise content processing

🌱 Societal Implications of AI
• Green transformation and sustainability (ESG)
• Corporate social responsibility (CSR)
• Misinformation and disinformation
• Media and information integrity
• Privacy and digital rights
• Digital cultures

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📚 PUBLICATION

Accepted papers will be published by Springer Nature in the Lecture Notes in Business Information Processing (LNBIP) series.

The proceedings will be available through SpringerLink.

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📝 SUBMISSION GUIDELINES

Authors are invited to submit original research papers that have not been previously published or presented elsewhere.

• Maximum paper length: 12 pages, including abstract and references.
• Papers must follow the Springer LNBIP formatting guidelines.
• Submissions do not need to be anonymized.
• Papers must comply with Springer Nature's policies on AI-generated content.

Submission system (EasyChair): https://easychair.org/conferences/?conf=bis2027

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📅 IMPORTANT DATES

• Workshop and event proposals: December 15, 2026
• Paper submission deadline: January 10, 2027
• Notification of acceptance: March 5, 2027
• Camera-ready submission: March 24, 2027
• Conference dates: June 23–25, 2027

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📍 VENUE

Poznań University of Economics and Business

Poznań, Poland 🇵🇱

BIS 2027 will be organized as an in-person conference. Remote participation will not be supported.

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🔗 MORE INFORMATION

Conference website: https://bisconf.org/2027/

Full Call for Papers: https://bisconf.org/2027/call-for-papers/

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