CfP: BUSTECH 2026 || April 19 - 23, 2026 - Lisbon, Portugal

INVITATION:

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- BUSTECH 2026, The Sixteenth International Conference on Business Intelligence and Technology

BUSTECH 2026 is scheduled to be April 19 - 23, 2026 in Lisbon, Portugal under the ComputationWorld 2026 umbrella.

The submission deadline is January 24, 2026.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.

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============== BUSTECH 2026 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


BUSTECH 2026, The Sixteenth International Conference on Business Intelligence and Technology

General page: https://www.iaria.org/conferences2026/BUSTECH26.html

Submission page: https://www.iaria.org/conferences2026/SubmitBUSTECH26.html


Event schedule: April 19 - 23, 2026


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]


Submission deadline: January 24, 2026


Extended versions of selected papers will be published in IARIA Journals: https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html


BUSTECH 2026 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2026/CfPBUSTECH26.html

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BUSTECH 2026 Tracks (topics and submission details: see CfP on the site)

Trends in business & technology

BPM and Intelligence; Crowdsourcing; Open source intelligence; Partitioning confidential resources; Hybrid Clouds Challengies; Cooling on workload management; Scale enterprise computing; Data processing in encrypted domains; Security-intelligent lifecycle management; Portability of SOA applications; Multi-tenant SaaS Applications; Big Data workflows; Data Fusion as an Enterprise Service (DFaaES); Cost models for SDN and 5G technologies; Business processes for Internet of Things (IoT); Business processes for Internet of Drons (IoD); Business Big Data analytics; Business models for Mobile environments and Smart cities; Central data centers and nano data centers; Smart factories and Industry 4.0; Compliance on the organizational factors; MapReduce for Geo-distributed Big Data; Many-objective optimization; Virtualized Datacenters; Information, knowledge, and semantic visualization

Planning and Budgeting under Agentic Frameworks

Advanced planning in multicloud and big data environments; Agentic frameworks for strategic and operational planning; Dynamic budget optimization through multi-agent collaboration; AI-assisted scenario planning and resource allocation; Negotiation models among autonomous business agents; Cost–benefit reasoning and explainable financial decisions; Adaptive forecasting using large language and planning models; Daily liquidity forecast using generative AI; Reinforcement-learning mechanisms for budget control; Effective and efficient financial planning processes in agent supported environments; Human-in-the-loop oversight in agentic financial systems; Risk management and resilience in agent-driven economies Auditing, accountability, and traceability of autonomous decisions in front of laws and acts.

Emerging Shape of Corporations

From hierarchy to networks: digitally supported organizational models, Continuous learning and upskilling for AI-augmented roles; Digital mentors and personalized workforce development; Collaborative intelligence: humans, agents, and digital twins; Adaptive leadership in data-driven enterprises; Opportunities and challenges in evolving from standard reporting to augmented analytics; Agent supported storytelling in company steering; Trust, transparency, and culture in algorithmic workplaces; New performance metrics in hybrid human–AI teams; Governance frameworks for digital-centric corporations; Redesigning value chains through agentic ecosystems; Knowledge management in a human-agentic symbiosys; Corporate resilience and innovation in accelerated learning environment. Ethical considerations in modern Business Intelligence, data driven and agent-driven companies; The return on investment of AI-assisted business decision models.

Cloud-oriented business/technical trends

Cloud adoption factors; Business transformation based on cloud services; Economical semi-cloudification; Cloud application technologies; Power consumption in Mobile Cloud computing; Cloud quality assessment; Auditability and Security in Cloud-based services; Legacy application in clouds; Protecting business processes on the cloud; Cross-layers in Cloud Workflows; Multiple data stores cloud applications; Integration and orchestration for deployment of cloud applications

BPM and Intelligence

Intelligent information systems; Rule-based business intelligence; Intelligent decisions; Business rules and ontology; Business process intelligence; Business process automation; Workflow management; Process mining; Vocabulary rules semantics; Web Intelligence; Business computational intelligence; Decision Support Systems; Web 2.0/3.0 in business intelligence (Web warehousing, integration, mining, intelligence); Applying security in BPM

Crowdsourcing

Crowdsourcing software models; Crowdsourcing theory development and designs; Crowdsourcing business models; Crowdsourcing ethics; Maintenance of crowdsourcing-based products; Innovations and open source; Data mining for crowdsourcing; Enterprise resource planning; Business to Business; Crowdsourcing-based Web technologies

Open source intelligence

Competitive intelligence; Web-based communities; User-generated content; Public data; Satellite observance; Professional and academic events; Open scientific libraries; Internet tools and resources for OSINT (Open source intelligence)

Integration and Interoperability

Empirical business research; Enterprise integration; Enterprise interoperability; Evolutionary business process; Real-time business intelligence;

Modeling and Simulation

Business process modeling and management; Business for micro, small and large enterprises; Business transactions for large-scale data; Structured and semi-structured processes; Semantics in business modeling; Multidimensional modeling and queries; Business performance management; Business process optimization; Business process simulation; Business process analysis and design; Collaborative, participative, and interactive modeling (CPI Modeling); Modeling methods and languages

Technology-oriented business solutions

Data warehouse evolution; Mobile business; Cloud-based business; Service-oriented business; Warehousing stream and sensor data; Health and remote medicine; Business-driven IT management; Data warehousing and industry applications (ERP, CRM, etc.); Business-driven Service Level Management; Business-driven dynamic provisioning; Business-driven inventory management; Business continuity management;

Business infrastructure and tools

Hierarchical and non-hierarchical business models; Project management; Business process and project management tools; Operational flexibility-agility; Online Analytical Processing (OLAP) ; Context-aware business process management

Features of business/technology development

Traceability and compliance; Business dynamics; Trust and security; Performance and scalability; Data quality and cleansing; Empirical evaluation of business processes; Reuse in business process management; Data warehousing consistency and quality; Usability and accessibility for business intelligence applications


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BUSTECH 2026 Committee: https://www.iaria.org/conferences2026/ComBUSTECH26.html


IARIA Ambassadors

Steve Chan, Decision Engineering Analysis Laboratory, USA
Dirceu Cavendish, Kyushu Institute of Technology, Japan
Monika Maria Moehring, Study Centre for Blind and Disabled Students, Technische Hochschule Mittelhessen, Gie en Germany
Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Lasse Berntzen, University of South-Eastern Norway, Norway
Les Sztandera, Thomas Jefferson University, Philadelphia, USA
Andreas Rausch, TU Clausthal, Clausthal-Zellerfeld, Germany
Timothy Phan, NASA, Jet Propulsion Laboratory, USA
Manuela Vieira, CTS/ISEL/IPL, Portugal
Luigi Lavazza, Universit dell'Insubria - Varese, Italy