Preview (as of Oct. 2025), final track description planned for Dec. 2025
Preview: Artificial intelligence (AI) as a ‘general purpose technology’ is crucial to current social development. From a business informatics perspective, the question arises as to whether AI in socio-technical systems should be viewed not only as a technology, but also in terms of how it will influence the tasks and position of humans in the application of technology in a business context.
Preview: The General Track invites high-quality research papers and short papers on topics that may not align specifically with other conference tracks. It is designed to attract unique, novel submissions and to provide authors with greater flexibility, particularly in terms of epistemological, ontological, and methodological perspectives. We particularly welcome forward-looking topics and novel methodological approaches that challenge existing assumptions and advance the community. We recommend that you check other track descriptions before submitting to ensure the best possible fit for your paper. In addition, the General Track allows track chairs from other tracks to submit their own or their students’ manuscripts.
Preview: The term digital transformation in the last ten years has had an impact in very different ways. Whereas the wider public uses it interchangeably with other concepts, e.g., digitalization, the research community has tried to further specify and differentiate between digitalization, digital strategies and digital transformation. This track focuses on the current situation in particular with regard to the understanding and connotation of the terms.
Preview: The growing availability and diversity of data is fundamentally changing not only businesses, but also our society. Increasingly powerful technologies make it possible to collect, store, and analyze huge amounts of data in real time. Whether AI-driven logistics systems that optimize supply chains, predictive maintenance in Industry 4.0, or personalized recommendations in e-commerce, data-based applications are increasingly shaping the reality of business and society. At the same time, data-driven systems influence our daily lives, from digital health applications to smart cities, where urban living spaces are designed more efficiently. Companies face the particular challenge of analyzing and controlling complex and dynamic operational processes in a data-driven manner. Different data sources, often with heterogeneous formats and qualities, make it difficult to obtain a uniform view of business processes. In addition, there are high requirements for the integration, interpretation, and use of data in order to create added value.
Preview: This track is dedicated to exploring the topic of digital education and highlights the influence of digitalization on both companies and educational institutions such as universities, schools, and other educational institutions. In particular, it examines how digital technologies, such as artificial intelligence (AI), influence the design of teaching and learning processes—with a special focus on embedding them in the socio-technical system or teaching and learning arrangement. artificial intelligence (AI), influence the design of teaching and learning processes – whereby particular consideration should always be given to their integration into the socio-technical system or teaching and learning arrangement, ranging from blended learning solutions and flipped classroom concepts to fully digital teaching and learning concepts such as MOOCs. New technologies such as the metaverse, augmented reality, and mobile learning solutions for work processes also offer additional potential for digital learning and expand the possibilities of digital education and its research.
Preview: While economic issues surrounding trust, security, and privacy were until recently dominated by decades-old encryption techniques or data collection, particularly by platform operators, several technologies have been developed in recent years that not only enable new applications but are already finding worldwide use. These include distributed ledger technologies (DLT, blockchain), but also AI applications that are both a challenge and a solution at the same time. For companies, the question arises as to how these new technologies can and must be integrated and managed within the company. With the increasing use of data for AI applications, data protection and privacy must also be viewed differently.
Preview: Digital markets and digital platform ecosystems are becoming increasingly important. Many of the world's most valuable companies (such as Uber, Airbnb, Google, Facebook) have committed themselves to this business model. Similarly, numerous established supply chain models are evolving into multi-sided platforms that are changing the competitive dynamics in many industries. We are seeing an increasing number of digitized and data-based marketplaces and platforms replacing traditional intermediaries and existing value creation structures. This affects both the B2C and B2B sectors.
Preview: The increasing pervasiveness of digital technologies into our private and professional lives has created invaluable opportunities to improve our lives in many ways, from housing and cities to healthcare, education, employment, entertainment, security, public participation, and transportation. But with great influence comes a high degree of responsibility. We have all recognized that digital technologies have brought about significant and irreversible changes in our individual and collective behavior, in our institutions and organizations, and in our society and the environment. These changes are neither clearly positive nor negative.
Preview: Human-computer interaction (HCI) and social computing are interdisciplinary fields of research that deal with the analysis and design of human interactions with and through information and communication technologies (ICT). The aim is to positively influence usability and user experience, thereby increasing productivity, quality of life, and the well-being of users. With the rapidly developing potential of interactive technologies, sensor technology, intelligent real-time data processing, and the almost universal presence of IT in all areas of life, new challenges and opportunities are emerging for HCI and social computing research in the field of business informatics.
Preview: Digital technologies and IT systems are now a fundamental component of many products, services, processes, structures, and business models. Consequently, corporate competitiveness and digital responsibility are inextricably linked to the successful management of IT and digital innovations. IT is increasingly required to play a strategic role in actively shaping the company's value creation. To this end, the IT function not only deals with the requirements of the company's customers, employees, and partners, but also develops, evaluates, and introduces digital innovations and considers the transformation of the organization. For example, the business and IT sides of the organization need to be increasingly integrated in terms of control, structure, and process organization. The ecosystem of innovation partners and IT service providers must be increasingly involved in strategy development and implementation. And last but not least, digital skills and competencies must be developed and promoted throughout the company.
Previews: Business process management (BPM) has established itself as a cross-disciplinary management tool. By using BPM methods and tools, companies aim to identify, evaluate, design, implement, manage, and monitor business processes in order to effectively and efficiently provide added value to internal and external customers. BPM encompasses various areas such as the (re)design of business processes, process mining, robotic process automation, and predictive and prescriptive process control. In many of these areas, the use of artificial intelligence (AI) is currently being considered. The aim of this track is to discuss the various facets of GPM from a management and technology perspective and to identify how GPM can be further developed to address current challenges at the individual, organizational, and societal levels. We welcome contributions from all methodological directions that shed light on a broad spectrum of BPM research from both an organizational/social and a technical perspective.
Preview: Global challenges such as climate change, increasing social inequality, and security are increasingly being addressed through the use of digital technologies. Digitalization opens up opportunities to strengthen social values and has the potential to address these challenges, but it also poses an enormous challenge for key players such as local administrations. A lack of resources and skills is a growing problem, as are ethical issues. In this context, smart cities are becoming particularly important, as demonstrated by the EU mission for climate-neutral and smart cities. The shift towards smart, connected cities goes beyond the mere digitalization of services and aims to create more efficient, environmentally friendly, and socially inclusive cities. This development is also intensifying the debate about the potential and applications, but also the limitations, of digital trends such as data-driven governance, blockchain, and AI in the public sector.
Preview: Digital twins enable digital representation to map physical, social, and economic systems and their behavior with the aid of simulation models. Data can be transmitted synchronously or asynchronously, reflecting the current state of the systems. At the same time, changes in and to the systems can be simulated in the digital twin in order to evaluate the effects before actual implementation.
Preview: The constant rise of AI applications also influences the way how people collaborate and organizations interact with the environment. In addition, society is constantly impacted by these changes - for the better or the worse. In this track, we focus on the social aspects of AI in various ways.
Preview: The design, development, engineering, and management of services and software systems are subject to constant change. In practice, many approaches have become established that are suitable for different contexts. But in this area, too, the use of artificial intelligence (AI) has brought about and will continue to bring about changes. Different perspectives and phases also require different approaches and speeds that go beyond the currently prevailing idea of agile approaches.
Preview: Information systems are now playing a key role in the digital transformation of healthcare practices, organizations, and industries. However, their design, implementation, and operation are subject to very specific situational conditions. This track examines these conditions with a focus on transformation in the healthcare sector.
Preview: Research results in this discipline are often directly related to cooperation with companies, but at the same time they also offer solutions for companies. This track focuses on industry and production and related sectors, which have undergone significant change in recent years. In terms of relevance, the focus is on research results that examine digital transformation in companies, but also investigate the use of AI in companies.
The aim of this track is to involve students with their own research results in WI2026. The track is primarily aimed at master's level students who would like to present the results of an academic paper (bachelor's or master's thesis, project work) to a specialist audience. Students from all fields of business informatics and related disciplines are invited to submit high-quality papers. Students who do not submit a paper are also welcome to attend the presentations and participate in the Student Track's supporting program.