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ICIM 2027: International Conference on Information Management

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Submission Date:
2026-10-30 Due in 79 days
Notification Date:
2026-12-10
Conference Date:
2027-03-19
Location:
Cambridge, UK
Years:
Viewed: 30021   Tracked: 5   Attend: 4

Call For Papers

ICIM 2027 (International Conference on Information Management) is an academic conference held in Cambridge, UK on 2027-03-19. The paper submission deadline is 2026-10-30. Acceptance notifications are sent on 2026-12-10.

Topics of particular interest for submissions include the following areas. We warmly welcome your contributions.: Session 1: Information Management & Systems Business strategies and information systems Management information systems Information systems planning and management Adoption of information technology in organizations Human factors and human-AI collaboration in information systems Knowledge management LLM-powered and AI-agent enabled information systems Generative AI for business and management System analysis and design methods Database design and data engineering Distributed information systems and cloud/edge computing Software for business and management Decision support systems Information quality and strategies IT and IS innovation Digital business Quantum information and quantum strategies Computational intelligence Responsible and explainable AI in IS AI governance, compliance and risk management Algorithmic fairness and bias mitigation Session 2: Information Systems and Technology Tourism management Business Administration Business Policies and Strategies Economics Entrepreneurship Financial and Banking Health Care Administration Responsible AI in human resources Digital well-being and employee mental health Hybrid work models and IS challenges International Business Management and Organization Behavior Management Education Managerial Consultation Operations Management Organizational Development and Change Non-Profit Sector Management Social Issues in Management Technology and Innovation Digital transformation Sustainable information systems and green IT Twin transition (digital + green) Session 3: E-Business Engineering and Management Innovation management E-Commerce Platforms & Models E-commerce applications Generative AI in e-commerce LLM-driven personalization and recommendation systems Management and Engineering of IT-Enabled Services Requirement Analysis and Modeling of E-Business Systems Dependability and Performance of E-Business Systems Business Performance Management Data and Knowledge Engineering for E-Business Mobile and Pervasive Commerce Security, Privacy in E-Commerce Service Oriented Computing for E-Business Blockchain applications and smart contracts Metaverse technology for e-business Session 4: Marketing Intelligence & Digital Marketing Social media marketing Digital marketing Internet marketing Marketing decisions Marketing analytics Generative AI in marketing (AI-generated content, personalized copywriting) Artificial intelligence in marketing Marketing intelligence Marketing information management & systems Marketing decision support systems Customer analytics and predictive modeling Session 5: Green marketing & Sustainable Business Green marketing Sustainable business Business innovation Sustainability & innovation Digital sustainability Sustainable information systems ESG data management and reporting Green AI and energy-efficient computing Session 6: Human Resources Information & Human Resources management ICT & Human Resources AI in human resources Responsible AI in HR (fairness, privacy, ethics) People analytics and workforce planning Digital recruitment strategies Hybrid work and remote workforce management Employee digital experience (EDX) Talent management platforms Session 7: Metaverse stream Metaverse strategies & frameworks Metaverse for business, management and industries Metaverse analytics Metaverse success examples and case studies Virtual and augmented reality in business Digital twins for enterprise operations Session 8: Emerging Technologies Large language models and information systems AI agents and multi-agent systems Digital twins and AI integration Cyber-physical systems (CPS) Internet of Things (IoT) data analytics Edge computing and fog computing Quantum computing for information management Responsible AI and trustworthy AI AI governance and compliance
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