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.

This research note explores the future research agenda for Capability-Based Management (CBM) and the capability concept, building on discussions from the International Workshop on the Foundations and Applications of Capabilities in Enterprises, Transformations, and ESG Initiatives (FACETE). The note identifies two primary subdomains for advancement: establishing a harmonized foundation for the Capability and Capability Map concepts, and refining CBM practices. Key topics include developing dynamic, context-aware definitions and models; formalizing relationships; and improving the discovery, identification, and scalability of capabilities. Additionally, the note emphasizes the importance of clarifying capability ownership within complex organizational ecosystems. By addressing these areas, the research note calls for academics to conduct research that can enhance both the theoretical underpinnings and practical applications of CBM, fostering greater clarity and efficacy in strategy formulation and implementation, and managing the operational configuration of an organization.

Critical infrastructure (CI) faces a growing threat of cyber-attacks as digitalization expands across industries, necessitating robust cyber-security measures. This study focuses on the challenges of securing CI in Luxembourg, exploring both regulatory and organizational aspects. Semi-structured interviews with chief information security officers (CISOs) within Luxembourg’s CI sectors were conducted to gather insights. Thematic analysis revealed six key challenge themes: Regulatory Compliance, Industry Landscape and Adaptation, Resource Management, External Collaboration and Support, IT Infrastructure Management, and Operational Governance. The findings underscore the need for a comprehensive, multi-faceted approach involving international regulation alignment, streamlined reporting, enhanced national cyber-security support, government initiatives, and ongoing harmonization efforts across nations to address cyber-security challenges in critical infrastructure effectively.

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.

Digital transformation promises strategic and operational benefits for organisations regardless of size, sector, or industry. However, its antecedents and value realisation mechanisms are highly context-dependent, influenced by factors within and beyond an organisation. While the focus of prior digital transformation studies seems to be on for-profit and relatively well in public organisations, the challenges for

non-profit organisations (NPOs) remain under-investigated. Based on a systematic literature review and a case study in one Swedish NPO, this study reveals digital transformation barriers within NPOs. The barriers identified through thematic analysis encompass internal and external

environmental factors grounded in recent digital transformation frameworks. The study contributes to the literature on digital transformation

specific to NPOs. Practitioners can also use these insights to inform the development of robust strategies and the effective implementation of their digital transformation initiatives.

Digital transformation (DT) is a fundamental change process that integrates digital technologies into an organization, altering its operations and value proposition. Organizational culture can significantly impact digital transformation. This paper explores the influence of organizational culture on digital transformation by identifying the cultural values that influence digital transformation and how they support a successful digital transformation. This research conducts a systematic literature review (SLR) to critically evaluate previous studies on the influence of organizational culture values on digital transformation. Using a comprehensive search strategy and rigorous selection process, the SLR identified twelve relevant studies. The findings are twenty-three organizational culture values influencing digital transformation. Moreover, the study provides how these cultural values can support a successful digital transformation if aligned with adaptive culture elements. Furthermore, the identified organizational culture values are categorized into the four organizational culture types of the Competing Value Framework, providing a high-level overview of how these values might map to different organizational culture types. The study suggests that these organizational culture values can foster resilience and agility and drive a successful digital transformation. Despite limitations, the research underscores the critical role of organizational culture values for a successful digital transformation and proposes future research directions.

The use of emerging digital technologies in the healthcare industry has been one of the developments embraced by most national governments and regional bodies, including the European Commission. Long-term plans were drafted to guide the industry-wide adoption of such technologies, including electronic healthcare management systems and applications like telesurgery. These plans recognise the daunting nature of digital transformation and the overwhelming organisational changes needed to realise the anticipated benefits. Unfortunately, in 2020, the outbreak of COVID-19 brought unprecedented urgency to rapidly adopt digital technologies, disrupting routines and existing work processes. This phenomenology study, based on data collected through interviews with nurses and medical doctors, aims to show how this forced digital transformation turned out and which lessons could be taken. The findings indicate that the most significant of the changes, from physical consultations to telemedicine, was embraced readily by patients, while it was viewed unfavourably by some of the healthcare providers. However, the attitude of healthcare providers towards the use of digital technologies has improved since the pandemic. On the other hand, the rapid adoption of digital technologies has also revealed challenges that need to be overcome to realise the full benefits of the transformation. Among others, these challenges include competent workforce shortages and resistance to change.

The increasing digital transformation in public organisations has facilitated smooth and bidirectional communication with stakeholders, enhancing the dissemination and reception of critical health information. However, emerging digital technologies have also exacerbated the spread of misinformation. Researchers and practitioners recognise misinformation as an obstacle undermining public health work during the pandemic, particularly in countries with fragile healthcare infrastructures. This study examines socio-cultural factors influencing health misinformation in Ethiopia and Liberia during the COVID-19 pandemic. Using an online survey of 211 experts and the PLS-SEM analysis technique, we found that mistrust in institutions, cultural beliefs, community dynamics, and language barriers significantly contribute to the spread of misinformation. Furthermore, health literacy was found to mitigate the impact of misinformation, except in instances involving language barriers. The findings provide insights for developing contextually relevant strategies to combat misinformation in developing countries with fragile healthcare systems.

Health care is a complex domain containing large amounts of data, including clinical and administrative data. Furthermore, the domain includes advanced decision-making utilising the collected data. Various IT systems based on AI technologies, such as machine learning, have been promoted as a way to improve both the quality and efficiency of health care. So far, the focus has been on supporting quite narrow and data-intensive activities carried out by a single actor, such as interpreting X-ray images and performing triage. However, providing health care for a single patient can involve a comprehensive process with numerous actors, ranging from home care and primary care to specialist care. In this paper, we examine how existing AI solutions can support a complex care process involving several collaborating actors. We base the examination on a health care case from Swedish elderly care. The case is used to identify multiple problem areas, which are then compared to existing AI solutions

Patients with long-term cognitive impairments following COVID-19 face significant challenges in their rehabilitation, which involves essential therapeutic procedures, administrative tasks, diagnostic tests, and self-assessments. "Digiphysical" methods, combining digital and physical healthcare interventions, offer promising solutions to enhance these rehabilitation processes. In this paper, we present a newly developed digital rehabilitation prototype based on the digiphysical approach. The prototype is designed to integrate digital and physical interventions, streamline clinical and administrative tasks, support the entire rehabilitation process, and facilitate self-directed rehabilitation. It addresses the rehabilitation needs from both the patients' and the rehabilitation personnel's perspectives. In this paper, we present the results of an initial evaluation of the prototype conducted with key rehabilitation professionals.