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.

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 increasing digitalisation of economies has highlighted the importance of digital transformation and its role in enabling businesses to be innovative and maintain a competitive edge (Kraus, 2021). This transformation, fuelled by rapid advancements in areas such as artificial intelligence, cloud computing, big data analytics, blockchain technology, and the Internet of Things (IoT), profoundly alters how businesses operate, interact with customers, and deliver value. At the organisational level, it has been argued that firms must find ways to innovate with these technologies by devising strategies that embrace the implications of digital transformation and drive better operational performance (Hess et al.,2016). The need to adapt and innovate applies to private firms, and public organisations as they attempt to improve service delivery and operational efficiency.

On the other hand, embracing digital transformation has been anything but straightforward. According to the literature, organisations undertaking the digital transformation journey face complexities and many challenges. These include legacy systems, the intricate complexities of integrating new technologies (Bharadwaj et al., 2013), and internal resistance to change from employees accustomed to established processes (La Torre et al., 2022). Furthermore, studies have revealed that there are significant skill gaps and difficulties in attracting and retaining the necessary talent to execute digital transformation strategies (Matt et al., 2015). Organisations also struggle with the ongoing difficulty of effectively aligning business and IT strategies, fostering a cohesive vision and roadmap for successful digital transformation (Omol, 2024). Consequently, research into digital transformation has garnered increasing attention, encompassing a wide range of topics, from specific technological implementations to broader strategic and organisational change. While existing research has undoubtedly broadened our understanding of certain facets of digital transformation, a holistic and comprehensive picture of its true nature and far-reaching implications remains elusive (Vial, 2019).

The goal of this workshop is to provide a vital interdisciplinary platform where researchers, practitioners, and industry experts can converge to discuss the latest trends, explore emerging opportunities, and address the multifaceted challenges in digital transformation.

Participants will engage in interactive knowledge-sharing sessions, analyse real-world case studies of both successful and unsuccessful digital transformation initiatives, and collaboratively develop practical strategies for overcoming key barriers to successful implementation. A core objective of the workshop is to foster stronger collaboration between academia and industry, encouraging the development of actionable frameworks and solutions that effectively bridge the gap between research and practical application in real-world settings.

Workshop chairs and organizers

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

Link to the workshop’s homepage: TBA

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: TBA

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.

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.

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