2nd International Workshop on Digital Technologies for Smart and Sustainable Buildings (DTSSB 2026)

Nowadays, digital technologies are transforming buildings into smart socio-technical systems in which Internet of Things (IoT) infrastructures continuously generate large volumes of data, enabling innovative approaches such as Digital Twins, Virtual and Extended Reality, Process Mining, and Artificial Intelligence to support facility management, energy optimization, safety, and strategic decision-making.

From a business informatics perspective, smart buildings raise critical research questions related to enterprise modeling, semantic interoperability, process management, and decision support. Detailed data generated by IoT devices requires abstraction mechanisms in order to be transformed into actionable knowledge. Semantic and data-driven approaches can convert heterogeneous event data into interpretable behavioral models, enabling behavioral analysis, performance assessment, and optimization.

The DTSSB workshop aims to foster a community of researchers and practitioners, stimulating discussion on methods, approaches, and digital technologies that facilitate the design, integration, operation, and governance of innovative smart buildings. Conceptual, technical, application-oriented, and case-study contributions are all within the scope of the workshop.

The main topics include, but are not limited to:

• Digital Twins in Business Information Systems for Smart Buildings
• Enterprise modeling for Smart Buildings
• Information systems architectures for Smart Buildings
• Interoperability between BIM, IoT, Digital Twins, and facility management systems
• Semantic data models and ontologies for Smart Buildings
• Knowledge Graphs for integrated building information management
• Data governance, privacy, and security in Smart Building platforms
• Process mining for operational and behavioral analysis in smart environments
• Event log abstraction from IoT data for process intelligence
• Business process optimization in Smart Building management
• Hybrid AI approaches for Smart Buildings
• Explainable AI for Smart Buildings
• AI-driven predictive maintenance and energy optimization
• Data analytics and business intelligence for Smart Building ecosystems
• Virtual and Extended Reality and immersive analytics
• Human-centric and socio-technical perspectives in Smart Buildings
• Organizational and business models for Digital Twin adoption
• Sustainability and energy efficiency analytics in Smart Buildings
• Building operation optimization
• Assessment of building energy, occupancy, and indoor comfort
• Case studies and industrial applications

Workshop chairs and organizers

• Dr. Massimo Callisto De Donato – University of Camerino, Italy
• Dr. Emanuele Laurenzi – FHNW, Switzerland
• Dr. Sebastiano Maltese – SUPSI, Switzerland
• Dr. Lorenzo Rossi – University of Camerino, Italy

Link to the workshop’s homepage: https://pros.unicam.it/dtssb/

2nd Workshop on Challenges and Opportunities in Digital Transformation (CODiT)

The accelerating digitisation of global economies has established Digital Transformation (DT) as a critical imperative for organisational innovation and sustained competitive advantage. Driven by rapid advancements in Artificial Intelligence (AI), cloud computing, big data analytics, blockchain, and the Internet of Things (IoT), DT fundamentally reconfigures operational models, stakeholder engagement, and value proposition delivery. At the organisational level, scholars argue that firms must move beyond mere adoption, instead devising robust strategies that navigate the complex implications of DT to enhance operational performance. This necessity for adaptation transcends sectors, encompassing both private enterprises and public-sector organisations striving for superior service delivery and efficiency.

Despite its potential, the execution of DT remains fraught with complexity. Extant literature suggests that organisations frequently encounter significant impediments, ranging from the constraints of legacy systems and the technical intricacies of system integration to deep-seated internal resistance to change. Furthermore, persistent skills gaps and the challenges of talent retention continue to undermine the execution of strategic digital initiatives. While research into these facets has proliferated, a cohesive, holistic understanding of the systemic nature and long-term implications of DT remains elusive.

CODiT 2026 provides a vital interdisciplinary forum for researchers, practitioners, and industry experts to interrogate emerging trends, explore untapped opportunities, and address the multifaceted barriers to digital maturity. Through interactive knowledge-sharing, the analysis of empirical case studies, and collaborative strategy development, the workshop seeks to bridge the gap between theoretical frameworks and industrial applications.

The workshop is designed to facilitate rigorous discourse and actionable outcomes centred on four primary pillars:

• Critical Inquiry into Emerging Trends: Critically assessing the trajectory of disruptive technologies and the evolving challenges of the digital landscape.
• Empirical Knowledge Sharing: Analysing real-world case studies to extract lessons from both successful implementations and strategic failures.
• Strategic Framework Development: Collaboratively formulating practical, scalable strategies to surmount organisational and technical barriers.
• Industry-Academia Synthesis: Strengthening the nexus between scholarly research and industrial practice to foster the development of actionable, evidence-based solutions.

Workshop chairs and organizers

• Dr. Björn Johansson – Linköping University, Sweden
• Dr. Gideon Mekonnen Jonathan – Stockholm University, Sweden

Link to the workshop’s homepage: https://codit2026.dsv.su.se

11th Workshop on Managed Complexity (ManComp 2026)

Managing complexity has a long tradition for algorithms and general problems. However, it is also an important issue in the Business Informatics domain. Here, the complexity of different systems and systems of systems has to be managed. While complexity is usually associated with large-scale systems, managing complexity remains important even for small systems operating in complex environments. Nowadays, informatics requires handling complexity at different levels and configurations of social, physical, enterprise, software, and hardware systems.

The workshop is planned to focus on approaches and methods for managing complexity in the domain of applied informatics, including the interplay between systems and ecosystems of various sizes and substances. Its purpose is to share and transfer knowledge on the identification, representation, control, and reduction of complexity, as well as to exploit synergies in the development of innovative strategies, approaches, and methods for handling complexity.

The purpose of the workshop is to bring together researchers and practitioners to discuss theoretical approaches or real-life case studies featuring success and/or failure stories in managing complexity. It welcomes seeking and discussing answers to such complexity management questions as:

• How is complexity divided?

• What kinds of models are to be specified?

• What is the role of system architecture in complexity handling?

• How is the human recognized in the loop?

• What kind of rules are to be applied?

• In which way do patterns help?

• Which notations or ontologies are useful in complexity handling?

• How is knowledge reused?

• How is knowledge propagated?

• and many others.

Based on these discussions, we expect to deepen the understanding of strategies, approaches, and methods in managing complexity in enterprise and software engineering. A cross-pollination of experiences in both domains is assumed.

Workshop chairs and organizers

• Prof. Dr. Marite Kirikova – Riga Technical University, Latvia
• Prof. Dr. Peter Forbrig – University of Rostock, Germany
• Prof. Dr. Charles Møller – Aarhus University, Denmark

Link to the workshop’s homepage: Website not available

3rd Workshop on Domain-Specific Modeling Methods and Tools – Exchange of Experience and Knowledge of OMiLAB Nodes (OMILAB-KNOW)

OMiLAB-KNOW is a recurring workshop series focused on domain-specific conceptual modeling methods and tools in the context of Business Informatics Research. Building on previous editions, it continues the OMiLAB mission of advancing model-driven value creation through openness, interdisciplinarity, as well as community-based collaboration and knowledge exchange. The primary goal of the workshop series is to stimulate discussion on the requirements, design decisions, tooling, utilization, and evaluation of artifacts related to domain-specific conceptual modeling, as showcased by the various areas covered within publications from the network. The broader objectives aim to facilitate the realization of model-driven support through open frameworks and interdisciplinary innovation across various domains.

It is expected that workshop contributions report on experiences and achievements from the global OMiLAB Network of Nodes and the extended Community of Practice that utilize the underlying, distributed Digital Innovation Environment. Such experience can also encompass results and lessons learned from recent research and innovation projects, as well as domain-specific experimental results, targeting innovative solution design using model-based approaches and beyond.

While the workshop is initiated by the OMiLAB community, it also welcomes participation from researchers and educators not yet involved in the network. In particular, anyone active in relevant fields such as domain-specific modeling, innovation infrastructures and processes, enterprise modeling, knowledge engineering, and interdisciplinary knowledge management, with an interest in the value of model-driven system design, is invited to contribute. This approach opens up the opportunity for exchanging ideas with other modeling-centric communities to account for the diverse views on modeling challenges and best practices. Consistent with ongoing research projects and previous workshop editions, the scope of OMiLAB-KNOW extends to the integration of conceptual modeling into education, professional training, and related teaching experiences. Moreover, recent developments highlight the need for considering Digital Wellbeing in the context of conceptual modeling. This novel field explores how model-driven approaches, tools, and collaborative practices can be designed to enhance cognitive, social, and digital wellbeing for individuals and communities engaged in conceptual modeling.

Given these considerations, submission types may span various research stages, from novel findings to practical experience reports and position papers. Therefore, both empirical experimentation insights and design-oriented research are welcome. Specifically, we encourage young researchers to share their findings and work-in-progress results.

Relevant topics (but not limited to)

• Domain-specific modeling languages for business informatics
• Integration of domain-specific modeling with Artificial Intelligence
• Model-driven approaches for low-code and no-code engineering
• Requirements engineering, design, and evaluation of conceptual modeling methods
• Engineering, deployment, and lifecycle management of modeling methods
• Enterprise and ecosystem modeling, including enterprise architecture
• Modeling tools, platforms, and extensibility (e.g., plugins, frameworks)
• Transformations from conceptual models to knowledge graphs, digital twins, and other artifacts
• Model-driven engineering and value creation through model-based artifacts
• Applications, use cases, and experience reports demonstrating model value
• Empirical research on modeling practices, quality, and effectiveness
• Educational approaches, teaching cases, and training in conceptual modeling
• Wellbeing-aware conceptual modeling, including cognitive load and digital wellbeing
• Human-centered and socio-technical perspectives on model-driven systems and collaboration
• Communities of practice, collaborative modeling, and knowledge exchange ecosystems

Workshop chairs and organizers

• Prof. Evangelia Kavakli – University of the Aegean, Greece
• Dr. Wilfrid Utz – OMiLAB NPO, Germany

Link to the workshop’s homepage: https://bir2026-ws.omilab.org

16th Workshop on Business and IT Alignment (BITA 2026)

Today, there is an obvious demand for continuous improvement and alignment in enterprises, but unfortunately, many organizations don’t have the proper instruments (methods, tools, patterns, best practices, etc.) to achieve this. Enterprise modeling, enterprise architecture, and business process management are three areas within the business informatics tradition that aim to improve business practices and business-IT alignment (BITA). Recent developments in artificial intelligence, digitalization, and digital transformation have brought new dimensions to BITA, making it an important issue in relation to digital business models, smart products, and smart business ecosystems. A continuous challenge for BITA is to move beyond a narrow focus on a single tradition or technology. There is a need to address multidimensional (multidisciplinary) aspects of the enterprise to create alignment between business and IT. This workshop aims to bring together people interested in BITA. We invite researchers and practitioners from both industry and academia to submit original results of their completed or ongoing projects.

This workshop aims to bring together people who have an interest in BITA. We invite researchers and practitioners from both industry and academia to submit original results of their completed or ongoing projects. We encourage to a broad understanding of possible approaches and solutions for BITA. Specific focus is on practices of business and IT alignment, i.e. we have encouraged submission of case study and experiences papers.

Workshop Topics

• Artificial intelligence techniques and solutions supporting BITA
• Business and IT alignment and circular economy
• Business and IT alignment and smart enterprises
• Best practice business and IT alignment case studies
• Business and IT alignment in small and medium sized enterprises
• Business and IT alignment discovery, change and improvement – methodologies and best practices
• Business and IT alignment and cybersecurity
• Business and IT alignment and digital product passport
• Business and IT alignment and digital transformation
• Business and IT alignment and smart connected products
• Business and IT alignment through BPM
• Business value of business and IT alignment
• Challenges in business and IT alignment
• Critical success factors and associated KPIs´ for alignment initiatives
• Design thinking in business and alignment
• Enterprise architecture management (EAM) for business and IT alignment
• Enterprise modelling as a tool for business and IT alignment
• Experience reports and case studies
• Human aspects of business and IT alignment; organizational staffing and structure, change management and leadership strategies
• Integration of human expertise and Intelligent Information Systems for BITA
• IT governance as a mean for alignment
• Metrics associated with the alignment life cycle, re-design, implementation, management and improvement
• Organisational implementations of various levels of business and IT alignment approaches
• Practices of business and IT alignment

Workshop chairs and organizers

• Ulf Seigerroth – Jönköping University, School of Engineering, Sweden
• Kurt Sandkuhl – Rostock University, Institute of Computer Science, Germany

Link to the workshop’s homepage: https://www.wirtschaftsinformatik.uni-rostock.de/forschung/veranstaltungen/selbst-organisierte-workshops/bita-2026