Enterprise Architecture (EA) plays a critical role in delivering information products such as process models, governance frameworks, and reference architectures. For these information products to be effective, they must help stakeholders within an organization to perform their work more effectively—for example, when analyzing organizational structures, introducing new tools, or aligning business and IT operations. Therefore, these information products must be designed with the stakeholders’ needs and practices in mind. This paper presents a systematic literature review focusing on research that evaluates EA and considers stakeholders, their relationships, and their practices. As the foundation for this review, we apply the Work-Oriented Approach (WOA), which structures descriptions of stakeholders, their relationships, practices, use and co-use of information products, and examines how information products are integrated into these practices. The literature review reveals several challenges. A key issue is uneven stakeholder participation in evaluations, with EA experts and IT personnel dominating, while other stakeholders are often underrepresented. Furthermore, stakeholders’ relationships and work practices are frequently poorly defined, making assessing how EA provides tangible organizational benefits difficult. To address these issues, we propose using WOA to improve and shift the focus of EA evaluations towards the work practices most affected by EA. This will ensure that the evaluations are more comprehensive and grounded in the real-world practices of the stakeholders.

The scientific literature related to business ecosystems is growing. However, the major part of this literature is devoted to so-called Digital Business Ecosystems (DBE) that are largely related to only the networking part of the business ecosystems, i.e., exchange of values among their participants. Other parts related to the work of a participating enterprise, as well as its suppliers and regulators, are often left outside. In this work, we take a different approach, namely, to model an ecosystem that exists around a specific enterprise. The work is based on the concepts transferred to business from biological cybernetics, such as structural coupling and autopoiesis. In this work, the Fractal Enterprise Model (FEM) is used for modeling business ecosystems. The goal is to suggest some patterns expressed in the modeling language that can help an enterprise build a model of the ecosystem of which the enterprise is in focus.

Enterprise Resource Planning (ERP) systems integrate organizational processes and shared data structures, making them an essential topic in information systems education. Yet, teaching ERP differs from classical computer science education: student learning is often driven less by programming and more by system configuration, master data design, and reasoning about end-to-end business processes in a large standard system. This paper presents our reflections on three ERP courses at Stockholm University. We describe the course progression from the first course on introductory ERP use, to technical perspectives, to the third course on project-based ERP system tailoring. We relate our course design to established ERP education research and report observations from multiple course iterations, including the benefits and limitations of recurring threshold ERP concepts that impede student progress, the flipped classroom delivery model, challenges in teaching ERP-related tasks that rely on prior knowledge, and emerging issues in examinations.

The International Conference on Perspectives in Business Informatics Research (BIR) is dedicated to business informatics, business information systems and information systems engineering. It aims to support knowledge exchange between experienced and junior researchers, practitioners and industry professionals by considering both fundamental research and application-driven studies.

The 24th BIR conference, hosted by Riga Technical University, focuses on the theme “Bridging knowledge, process, and systems for responsible digital transformation” It explores how integrating knowledge management, process modeling, and information systems—with AI and smart technologies—can drive innovation and efficiency while ensuring ethical, sustainable, and inclusive practices. The conference traditionally attracts co-located workshops which encourage exchanging ideas and foster collaboration on topics related to business information systems.

Individuals suffering from long-term cognitive impairments following COVID-19 engage in a wide range of activities throughout their cognitive rehabilitation journey. This journey may include diagnostic assessments, therapeutic interventions, administrative coordination, and self-managed rehabilitation tasks. To effectively support and enhance such multifaceted rehabilitation processes, a digiphysical approach – which integrates digital and physical components – offers a promising solution. This article presents a process-oriented prototype based on the digiphysical approach, designed to bridge clinical and administrative tasks while combining digital and physical interventions. The article also reports findings from an initial evaluation of the prototype conducted with key rehabilitation professionals as respondents. Furthermore, five reusable solution patterns for implementing digiphysical rehabilitation are presented. These patterns are intended to be applicable not only in the studied context but also to support other care providers and organizations aiming to develop or enhance digiphysical rehabilitation services.

Complex Systems Informatics and Modeling Quarterly (CSIMQ) continues to serve as a forum for high-quality research at the intersection of informatics, modeling, and the study of complex socio-technical systems. This issue brings together seven contributions that reflect the breadth and depth of current research in these fields. The issue opens with two articles that explore advanced modeling and data-driven analysis within complex economic and organizational environments. The next two articles shift the focus toward the digital transformation of public services and the organizational capabilities needed to manage such change. The rest three articles address organizational transformation, IS integration challenges, and regulatory compliance in increasingly complex digital ecosystems. Together, the articles in this issue reflect the journal’s commitment to advancing knowledge on the modelling, governance, and transformation of complex systems. They showcase how researchers combine conceptual rigor, empirical investigation, and methodological innovation to address contemporary challenges in digital transformation, public-sector innovation, organizational alignment, and cybersecurity governance.

Custom CRISPR screens are powerful tools for rapid, hypothesis-driven discovery, but their design is often complex and time-consuming. Green Listed v2.0 simplifies this process with an intuitive workflow for designing custom CRISPR spacer libraries and supports downstream analysis for all users, irrespective of their computational experience. The web application features a user-friendly graphical interface freely accessible at https://greenlisted.cmm.se. Version 2.0 includes significant upgrades to the original 2016 version that were implemented based on user feedback. This includes a new gene synonym tool, expanded library options, optimized output lists, performance improvements, and linked scripts for the rational design of custom CRISPR screen gene sets.

The vast and growing web of rules and regulations that govern modern organisations is increasingly difficult to comprehend and manage. One technique for understanding and managing rules among stakeholders is enterprise modelling of organisational rules. However, rule models are usually flat, lacking hierarchical structure that allows for effective abstraction and reduced complexity. The aim of this paper is to examine the different aspects of hierarchy among organisational rules. A model pattern is proposed, based on the main constructs rule description, norm hierarchy, scope, and citation. The model pattern is demonstrated by instantiating it in a concrete case, the European Union’s General Data Protection Regulation (GDPR), using Wikibase Cloud to structure the data and Kumu.io to visualise it.

Rules and regulations grow into complex webs that are difficult even for experts to overview and comprehend. Particularly in cross-organisational collaborations in heavily regulated practices, e.g. health information exchange, rules and actors may form multilevel, adaptive, organisational rule systems. One potential way to analyse these complex structures is by utilising enterprise modelling and visualisations. This paper proposes a conceptual model for the description of rules in multilevel adaptive collaborations. The model is demonstrated with a case of collaboration for health data exchange, representing how actors at different levels adapt their rules according to their goals and how these goals must be balanced against the goals of the collaboration.