The identification and engagement of stakeholders is a challenge whose outcomes have a strong impact on a project’s success. This is even more relevant when the project concerns the introduction of sustainable technologies; these technologies are often less competitive on the market than traditional ones, both in terms of development complexity and production costs. This paper presents a stakeholder identification and mapping procedure, based on an Interest x Influence model, that emphasizes a quantitative methodological approach. The method has been applied on publicly available online data to identify and map potential stakeholders of a European research project aiming at creating a new biomass-derived biofuel. A semi-supervised procedure, built by combining computational text analysis and social network analysis techniques, has been used to calculate Interest and Influence scores for each potential stakeholder toward the project. The results show that stakeholders can be ranked on both dimensions and mapped on a bi-dimensional space according to their level of Interest and Influence. Within projects aiming at developing technologies for sustainability in which a wide range of stakeholders are involved at a transnational level, this stakeholder mapping technique provides a useful tool that can be adopted even with little knowledge on specific fields of application. A further asset of this approach lies in the possibility of profiling stakeholders on the basis of their Interest in the target project: this allows us to know the contents of a stakeholder (or stakeholders category) Interest, and therefore to have useful information for addressing the targeted stakeholder by means of a content design which is based on specific content categories, substantiating the stakeholder(s) Interest in the specific project.

The Internet facilitates connections between a range of Dutch actors with a stake in the energy transition, including governments, environmental organizations, media outlets and corporations. These connections tease a hyperlink network affecting public access to information on energy transition issues. Despite its societal relevance, however, the characteristics of this network remain understudied. The main goals of this study are to shed some light on the topological characteristics of the Dutch energy transition hyperlink network and reveal the main topics discussed in the network. To do so, we longitudinally collected data from the interactions between key Dutch actors with a stake in the energy transition. Then, these data were analyzed by employing a mixed-method approach, social network analysis and topic modeling. The results of the social network analyses reveal the existence of a sparse network in which few private companies and associations emerge as the most authoritative actors and brokers. Furthermore, our analyses show substantial differences among the communication agendas of the organizations of the Dutch energy transition hyperlink network; while public institutions focus on global, national and local policy issues, private companies, associations and NGOs pay much more attention to employment issues.

The Green Intellectual Capital (GIC) is a key competitive factor for European firms and an opportunity for EU sustainable development programs. Yet, existing research has not investigated the GIC of European small and medium enterprises (SMEs) in the energy sector. This is surprising given that they represent a pillar for European economies and their transition goals. A reason for this gap might be that SMEs do not usually adopt formal disclosure practices required by traditional GIC measurement methods. This study presents a network‐based GIC measurement framework that embeds NLP techniques for analyzing online disclosed information of European SMEs from the energy sector. GIC is subsequently represented as a Knowledge Graph and measured as the extent of firms' knowledge integration. The results confirmed that the proposed GIC measure positively relates to the organizational dimensions of environmental consciousness, innovation capability, and economic performance. These findings open new opportunities for GIC research in digital contexts, thereby enabling investigation of factors fostering SMEs' performances and their contribution to the broader goal of sustainable development.

Prolonged environmental threats expose communities to recurring hazard cues and uncertainty, yet psychological consequences and resources involved in adaptation remain underexplored. This study examined psychological outcomes, personal and social resources, and their co-occurrence among inhabitants exposed to bradyseism in Campi Flegrei, southern Italy. Fifty-two semi-structured interviews were conducted with inhabitants of the Campi Flegrei area. Eighteen were recruited without reference to a specific stakeholder role, whereas 34 were recruited based on their institutional, professional, or community roles. Narratives were examined through theory-driven thematic analysis. Six psychological outcomes were considered, including five distress-related negative psychological outcomes (i.e., anxiety, post-traumatic symptoms, depression, sleep disturbances, and suicidal ideation) and one adaptive psychological outcome (i.e., post-traumatic growth). Distress was classified using literature-derived categories, while the Social-psychological Antecedents to Resilience for Adaptation (SARA) classified resources by locus, specificity, and availability. Anxiety-related experiences were most frequent, followed by post-traumatic stress-related experiences, depression-related experiences, and sleep disturbances; post-traumatic growth was rare, and no segments related to suicidal ideation were identified. Risk perception, experience, acceptance, cognitive reappraisal, and place attachment were frequently identified as available resources in narratives involving distress, whereas information emerged predominantly as unavailable and available social support was identified only once in the corpus. These resources co-occurred with manifestations of distress without revealing a consistent protective pattern. The findings document the coexistence of resources and distress without establishing the direction of their relationships or a protective role. Future research should clarify resource–distress directionality and examine whether perceived agency explains why some resource constellations coexist with persistent distress, whereas others are associated with more adaptive responses under prolonged environmental threat.