Nuno Almeida

This study examines the importance of integrating collaborative ecosystem theory into the broadband transdisciplinary approach of Engineering Asset Management (EAM). The authors seek to contribute to moving beyond traditional organization-centric EAM approaches toward systemic, multi-actor value co-creation models. This systematic review aims to investigate existing work on value co-creation across different areas and assess whether these works can be transposed to EAM. To achieve this, a structured, systematic literature review was conducted in accordance with PRISMA guidelines, using Scopus and Web of Science as information sources. The search combined the keywords “collaborative,” “ecosystem,” “value co-creation,” and “model,” resulting in 72 peer-reviewed articles. Bibliometric analysis was performed using EndNote (version 2025.2), Excel (version 16.110.2), and VOSviewer (version JAVA 1.0), complemented by thematic analysis structured around the three research questions. The results reveal a significant increase in publications after 2021, the predominance of ecosystem and value co-creation concepts, and the existence of fragmented conceptual, governance, and analytical models. The findings confirm a persistent gap that needs to be addressed to properly integrate collaborative ecosystems and enable value co-creation in EAM, providing a structured foundation for developing an integrated ecosystem-based asset management framework in this space. By conducting a structured, systematic literature review and synthesizing conceptual, governance, and analytical models, this research consolidates fragmented knowledge and proposes an integrative perspective that positions value co-creation, multi stakeholder governance, and digital enablement as central mechanisms for enhancing ecosystem performance and sustainability in asset-intensive environments.

Market volatility and resource constraints pose significant resilience challenges to small and medium-sized enterprises (SMEs). Although AI-agent automation, agile marketing, and customer relationship management (CRM) offer powerful individual solutions, their synergistic impact on SME resilience remains critically underexplored. This review bridges this gap by proposing an integrated, AI-driven resilience framework designed to enhance the adaptive capacity of smaller firms. Through a systematic analysis of 35 peer-reviewed articles, our study explicitly maps AI-agent automation, agile marketing, and CRM to the dynamic capabilities of sensing, seizing, and reconfiguring, clarifying the causal pathways to SME resilience. The framework defines key inputs (e.g., multi-channel customer data), processes (e.g., iterative sprints), and outputs (e.g., enhanced market responsiveness). We identify APIs and SaaS platforms as the critical technological backbone for implementation. The central finding is that this integrated model empowers SMEs to build dynamic resilience and achieve competitive parity through data-driven, automated workflows. Actionable recommendations include adopting API-first strategies, investing in workforce training, and prioritizing data security.

This paper presents an adaptation and application of the Risk-Informed Asset-Centric (RIACT) process to analyze the resilience of a portion of Hydro-Québec's electric power grid against extreme ice storm risks, when supplying the densely populated Greater Montreal area, one of the power system’s major load centers. The key aspect consists in avoiding widespread or major blackouts and maintaining the functional performance of the area’s critical and essential services. The study identifies critical risks and asset exposures, analyzes potential solutions. The evaluation is aimed at deploying, on an urban grid, measures based on the PERA resilience stages: i) Preparation; ii) Endurance (Absorption); iii) Recovery; and iv) Adaptation. The proposed PERA plan aims to provide insights in implementing effective preventive measures while emphasizing the importance of monitoring, communication, and reporting throughout the process. By integrating resilience and asset management practices, this approach provides a simplified framework for managing risks associated with extreme weather events, ensuring the continuity of essential services.