Search Results (78)

This study examines the added value of territorial cooperation within the LEADER approach, a key pillar of the EU’s rural development policy. Both interterritorial and transnational cooperation projects empower Local Action Groups (LAGs) to tackle common challenges through innovative and community-driven strategies. Drawing on over 3000 projects since 1994, LEADER cooperation has proven its ability to deliver tangible results—such as joint publications, pilot projects, and shared digital platforms—alongside intangible benefits like knowledge exchange, improved governance, and stronger social capital. By facilitating experiential learning and inter-organizational collaboration, cooperation enables stakeholders to work across territorial boundaries and build networks that respond to both national and transnational development issues. The interaction among diverse actors often fosters innovative responses to local and regional problems. Using a mixed-methods approach, including case studies of Italian LAGs, this research analyses the dynamics, challenges, and impacts of cooperation, with a focus on learning processes, capacity building, and long-term sustainability. Therefore, this study focuses not only on project outcomes but also on the processes and learning dynamics that generate added value through cooperation. The findings highlight how territorial cooperation promotes inclusivity, fosters cross-border dialogue, and supports the development of context-specific solutions, ultimately enhancing rural resilience and innovation. In conclusion, LEADER cooperation contributes to a more effective, participatory, and sustainable model of rural development, offering valuable insights for the broader EU cohesion policy. Full article

This study proposes a computational framework that transforms eye-tracking analysis from statistical description to cognitive structure modeling, aiming to reveal the organizational features embedded in the viewing process. Using the designers’ observation of a traditional Chinese landscape painting as an example, the study draws on the goal-oriented nature of design thinking to suggest that such visual exploration may exhibit latent structural tendencies, reflected in patterns of fixation and transition. Rather than focusing on traditional fixation hotspots, our four-dimensional framework (Region, Relation, Weight, Time) treats viewing behavior as structured cognitive networks. To operationalize this framework, we developed a data-driven computational approach that integrates fixation coordinate transformation, K-means clustering, extremum point detection, and linear interpolation. These techniques identify regions of concentrated visual attention and define their spatial boundaries, allowing for the modeling of inter-regional relationships and cognitive organization among visual areas. An adaptive buffer zone method is further employed to quantify the strength of connections between regions and to delineate potential visual nodes and transition pathways. Three design-trained participants were invited to observe the same painting while performing a think-aloud task, with one participant selected for the detailed demonstration of the analytical process. The framework’s applicability across different viewers was validated through consistent structural patterns observed across all three participants, while simultaneously revealing individual differences in their visual exploration strategies. These findings demonstrate that the proposed framework provides a replicable and generalizable method for systematically analyzing viewing behavior across individuals, enabling rapid identification of both common patterns and individual differences in visual exploration. This approach opens new possibilities for discovering structural organization within visual exploration data and analyzing goal-directed viewing behaviors. Although this study focuses on method demonstration, it proposes a preliminary hypothesis that designers’ gaze structures are significantly more clustered and hierarchically organized than those of novices, providing a foundation for future confirmatory testing. Full article

Automated document processing and circulation systems face critical challenges in achieving reliable retrieval accuracy and robust classification performance, particularly in security-critical organizational environments. Traditional approaches suffer from fundamental limitations, including fixed fusion strategies in hybrid retrieval systems, inability to model inter-document relationships in classification tasks, and lack of confidence estimation for result reliability. This paper introduces AttenFlow, a novel context-aware architecture that revolutionizes document management through two core technical innovations. First, we propose the retriever consensus confidence fusion (RCCF) method, which addresses the limitations of conventional hybrid retrieval approaches by introducing consensus-based fusion strategies that dynamically adapt to retriever agreement levels while providing confidence estimates for results. RCCF measures the consensus between different retrievers through sophisticated ranking and scoring consistency metrics, enabling adaptive weight assignment that amplifies high-consensus results while adopting conservative approaches for uncertain cases. Second, we develop adversarial mutual-attention hybrid-dimensional graph attention network (AM-HDGAT) for text, which transforms document classification by modeling inter-document relationships through graph structures while integrating high-dimensional semantic features and low-dimensional statistical features through mutual-attention mechanisms. The approach incorporates adversarial training to enhance robustness against potential security threats, making it particularly suitable for critical document processing applications. Comprehensive experimental evaluation across multiple benchmark datasets demonstrates the substantial effectiveness of our innovations. RCCF achieves improvements of up to 16.9% in retrieval performance metrics compared to traditional fusion methods while providing reliable confidence estimates. AM-HDGAT for text demonstrates superior classification performance with an average F1-score improvement of 2.23% compared to state-of-the-art methods, maintaining 82.4% performance retention under adversarial attack scenarios. Real-world deployment validation shows a 34.5% reduction in manual processing time and 95.7% user satisfaction scores, establishing AttenFlow as a significant advancement in intelligent document management technology. Full article

In today’s urban environment, disasters are not isolated events but part of continuous, complex processes that threaten both sustainable urban development and effective emergency management. Traditional emergency management practices are hindered by departmental silos and fragmented information exchanges, which often lead to conflicting interests, unclear responsibilities, ineffective tools, and imprecise task divisions. In response, our study repositions emergency management within the broader context of sustainable urban development by emphasizing resource optimization, strengthened inter-agency coordination, and strategic decision support to achieve UN Sustainable Development Goal 11. Based on observations from 31 departments in Dongtai City, we identified key contradictions within the current activity system. Guided by activity theory, we designed the Cross-Organizational Emergency Intelligence System (COEIS), which synchronizes real-time data across agencies via a novel information exchange mechanism. Implementation in a real-world setting and evaluation using grounded theory demonstrated that the COEIS enhances collaborative efficiency and decision support capabilities, thereby improving inter-organizational resilience. This study makes both theoretical and practical contributions by integrating the DSRM, activity theory, and grounded theory, offering a replicable pathway for transforming fragmented crisis management infrastructures into sustainable and resilient networks aligned with urban development strategies. Full article

Identifying the structural characteristics of a collaboration network that influence firms’ exploratory and exploitative innovation performance can help these firms enhance the output of innovation achievements and their core competitiveness. Based on 14,790 issued patents of 281 firms in the artificial intelligence industry in China, this study explores the complex nonlinear relationship between the structural characteristics of inter-organizational collaboration networks and firms’ exploratory and exploitative innovation performance by using clustering algorithms and classifications based on information entropy or the Gini index. The results indicate the following: (1) The four characteristics of degree centrality, closeness centrality, the local clustering coefficient, and structural holes affect the exploratory and exploitative innovation performance of firms. (2) In different firm clusters, there are different characteristic combinations that provide firms with various development strategies to improve this performance. (3) There are different paths that firms can take to improve this performance, which should be comprehensively considered along with the development goals of firms. Full article

In the field of firms’ technological innovation, a large body of research has emphasized the roles of interlocking directors and the associated board networks in which they are embedded. By integrating the process perspective of absorptive capacity theory with stakeholder network theory, this study investigates the influence of board networks on firms’ technological innovation output, with particular attention given to the moderating effects of shareholder networks and CEO networks. The theoretical hypotheses suggest that degree centrality within board networks positively influences firms’ technological innovation output, and that this positive effect is weakened by degree centrality within both shareholder networks and CEO networks. While board networks facilitate information acquisition for technological innovation, shareholder networks and CEO networks may serve as substitutes. Furthermore, they may shape the motivations of shareholders and CEOs, potentially hindering the exploitation of information acquired through board networks. Using longitudinal data on Chinese A-share listed companies from 2005 to 2023, we construct three distinct types of interorganizational networks and annually measure firms’ degree centralities within each network type. Employing fixed-effects panel models, this study empirically verifies the proposed hypotheses. Practically, the findings offer important implications for firms seeking to align interorganizational networks with their technological innovation management strategies. We recommend that future research further explore the roles of diverse stakeholder networks in interorganizational contexts to enhance the understanding of how interactions across multilayer networks affect firms’ technological innovation output. Full article

Business sustainability emerges as a cornerstone for balancing economic growth, environmental preservation, and social well-being, establishing itself as a global priority. However, this approach still faces significant challenges among micro, small, and medium-sized enterprises (MSMEs), particularly in emerging regions such as Ciudad Victoria, Tamaulipas, Mexico. This study examines how business networks facilitate the adoption of sustainable practices through knowledge transfer and inter-organizational collaboration, emphasizing the influence of sociological factors and social interactions. Using a qualitative approach that combines semi-structured interviews and social network analysis with UCINET software version 6.776, an active network of 54 companies is analyzed. The results highlight central nodes with high betweenness centrality, underscoring their role as catalysts in disseminating sustainable practices. A significant correlation is also identified between types of business interactions and the implementation of these practices, emphasizing the strategic value of cooperation in fostering responsible behaviors. This study helps bridge the theoretical gap regarding sustainability in MSMEs and offers practical implications for designing policies that enhance business collaboration for sustainable development. Ultimately, it underscores the importance of understanding business interaction dynamics and their implications for driving sustainable transformation in regional contexts. Full article

This paper critically reviews the convergence between Business Ecosystem Theory and Social Network Theory in sustainability studies. While both frameworks view organizations as part of larger, interconnected systems, they can be differentiated by six key dimensions: unit of analysis, focus, decomposability, types of relationships, market segment, and worldview. To better reflect real-world phenomena, this paper argues for a new stream of theoretical convergence that is practical, reliable, generalizable, and reproducible. Specifically, it proposes shifting from interorganizational networks to interfunctional networks, offering a clearer theoretical framework, reducing strategic bias and complexity, enhancing stability over time, and providing a more objective foundation for diversification strategies. This is illustrated through a case study of Tesla Inc., built from secondary data, which serves as an example of the emergence of a new strategic construct named the Business Ecosystem Footprint. This construct could assist managers in understanding where their organization stands within the network of functions, guiding them in making informed decisions about resource allocation and diversification aimed at supporting financial goals as well as sustainability and decarbonization objectives. The article concludes by suggesting potential research agendas, such as automating ecosystem mapping, exploring constraints of the new construct, and testing hypotheses related to firm performance. Full article

This study explores the dynamics of international strategic learning alliances through the lens of game theory, incorporating complexity and cooperative game theories to develop a model of organizational evolution. Using simulations and network resources, we examine 1200 cases to assess the costs and benefits of inter-organizational cooperation, with a focus on mutual payoffs and strategic decision-making. Our research addresses key gaps in the literature by analyzing how game-theoretic structures impact the success of alliances, providing actionable insights for firms aiming to enhance strategic partnerships. The findings offer valuable guidance for international partners involved in learning alliances, emphasizing the importance of aligning institutional responses with perceived risks and opportunities. By identifying the motivations and success factors behind strategic alliances, organizations can better formulate optimal strategies for collaboration. This paper contributes to the discourse on inter-firm cooperation by highlighting the complexities of strategic learning alliances and offering new perspectives for future research. Full article

This article discusses current challenges in the field of global health and the World Health Organization’s (WHO) strategies to address them. It highlights the importance of measuring the health impacts of global recession and globalization and the need for human-centered approaches to sustainable development. Emphasis is placed on commitment to health equity and the use of strategic partnerships for health at global, national, and local levels. Improving the health and well-being of populations, as well as public health equity, are core principles of the 2030 Agenda for the Sustainable Development Goals (SDGs). These principles are expressed in SDG 3, which promotes universal access to health services and systems and recognizes global health as a basic human right. It highlights the importance of strategic partnerships to combat emerging health crises, improve public health indices, and address the burden of chronic disease. These partnerships are contemplated in SDG 17 and are manifested in different modalities, such as network governance, cross-sector collaboration, public–private partnership, and social participation. This diversity of alliances has played an important role in scaling up and strengthening universal health systems around the world, including in Latin America and the Caribbean. The text concludes by presenting the essential characteristics of these inter-organizational and inter-institutional alliances in the field of global health. Full article

Collaboration in interorganizational networks requires specific governance choices to align participants with collective goals. However, these choices often fail to mitigate conflicts and may catalyze tensions that lead to disaffiliation. This study investigates four critical tensions identified in existing literature: (1) efficiency versus inclusion in decision-making; (2) flexibility versus stability; (3) internal versus external legitimacy; and (4) unity versus diversity. Through a case study of a credit union that disaffiliated from a cooperative network, we explore how these tensions manifest and their repercussions on both the network’s functionality and the behavior of its members. Our findings reveal that such governance tensions can be harmful both to the network and to the participating organizations. Tensions between unity and diversity, stability and flexibility, and external and internal legitimacy can compromise the effectiveness of the network and even hinder participating organizations in conducting their business. In extreme situations, these tensions contribute to the strategic decision to disaffiliate. This research extends theoretical understanding by delineating the specific impact of governance tensions on exit decisions within interorganizational networks. Full article

Prefabricated construction (PC) is considered to be a low-carbon construction method. Implementing prefabricated construction projects (PCPs) requires multiple industry organizations to participate and collaborate. As different PCPs are initiated and implemented, industry organizations will gradually gather into a complex and evolving collaborative network at the industry level based on specific collaboration relationships with different project backgrounds. The evolution of the collaborative network is related to how industry organizations interact with each other, and how PC-related knowledge and innovation has spread among organizations in the long term. However, the laws of network evolution and the micro effects that drive network evolution are still unknown. This study analyzes 236 prefabricated construction projects (PCPs) in Shanghai during 2015–2023, using the stochastic actor-oriented models (SAOM) method to explore how the macro structure of project-based inter-organizational collaborative networks for prefabricated construction (PC) technology implementation evolves over time, and how micro effects jointly support the evolution of the networks. The macro-level descriptive analysis of the network indicates that the collaborative network has become increasingly dense over time and continues to show a core–peripheral structure, with a small number of super-connected organizations. The micro-level SAOM analysis further reveals that the evolution of the collaborative network structure is driven by structure-based preferential attachment and geographic proximity effects, as well as attribute-based ownership similarity effect. This exploratory effort applies a network dynamics model to investigate the micro mechanism of the evolution of inter-organizational collaboration. The research results provide theoretical guidance and decision-making references for PC industry organizations to develop efficient network action strategies. In addition, it can help industry managers to formulate appropriate network management strategies. Full article

The paper explores the key strategic tensions in the development of organizational ecosystems as well as the applied responses. It presents a conceptual overview of the key tension areas faced by the coordinators of complex inter-organizational systems and the results of empirical case studies conducted in knowledge-intensive industrial clusters in Lithuania (in the fields of high-technologies, information and communications technology, medical innovations and wellness products, cinema and game industries, machinery production and tourism). The research presented in the paper identifies eight strategic tensions faced by the leaders responsible for the development of organizational ecosystems: (1) focused interventionism vs. self-organization; (2) hierarchy-based structures vs. network-based (eco)systems; (3) under-connectedness vs. over-connectedness; (4) central rules vs. emerging metanorms; (5) short-term vs. long-term orientation; (6) focus on elements vs. relationships in the system; (7) big wins vs. small wins; and (8) exploitation vs. exploration. Case studies and expert interviews with the coordinators of different industrial clusters revealed the diversity of adopted approaches. The more mature the social and industrial context of the industrial cluster is, the less pronounced are the strategic tensions, and there is less need for focused interventions. In cases where such interventions are needed, the leaders of ecosystems adopt one of the following approaches: (1) take a position on one of the extremes by seeking to leverage the situation; (2) adopt a trade-off approach by seeking a point of balance; (3) capitalize on both extremes at the same time. The adopted approach may vary from one strategic tension to another within the same organizational ecosystem. Full article

The objective of this paper is to assess the potential roles of blockchain technology in enhancing quality, safety, and sustainability throughout the production and distribution of food and beverage products. To achieve this, a multiple case study approach has been selected as the primary research methodology. This article underscores the transformative impact of blockchain implementation on inter-organizational transactions, reducing uncertainty among supply chain participants and fostering more equitable interdependence among partners in the value chain. These developments have the potential to bolster quality, safety, and sustainability within the food and beverage industry. The article also explores strategies for enhancing blockchain’s influence on interfirm governance structures within the food and beverage sector. It delves into the possibilities of broadening participation by increasing the number and variety of participants in blockchain networks. It investigates how the synergy between blockchain technology and other emerging technologies can further optimize their impact on reducing interfirm governance structures. Also addressed in the paper is the potential for blockchain-based solutions to enhance distributive fairness within the food and beverage industry, offering marginalized groups, such as small-holder farmers, greater opportunities for integration into the global economy. Special emphasis is placed on blockchain’s capacity to enhance interfirm governance in this industry by reducing uncertainty among supply chain participants and creating more symmetrical dependencies among them. The article also posits that by fostering entrepreneurial prospects for marginalized communities and promoting distributive fairness, blockchain technology can contribute to socially responsible actions. Overall, this study extends theories and concepts from information and communications technologies’ (ICTs) effects on agency, boundaries, and uncertainty in the context of organizational and inter-organizational dynamics. Full article

Collaborative innovation projects (CIPs) are a typical type of inter-organizational collaboration project to deliver innovative results, in which diverse and dynamic collaborative relationships exist among stakeholders. The project’s success depends on appropriate governance mechanisms to coordinate the relationship between stakeholders. Contractual governance and relational governance both play an important role in successful project delivery. Existing research on the static evaluation method of project governance has obvious contradictions with the dynamic characteristics of stakeholder collaboration relationships during the innovation process. In response, this study proposes a dynamic evaluation method of CIP governance that uses stakeholder networks as the evaluation object, thus filling in gaps in the literature on CIP governance and contributing to the development of governance theory. A project of the Industry Technology Research Institute (ITRI) was chosen as a case study to evaluate the effectiveness of the procedure. The results show that contractual governance and relational governance both have a strong impact on stakeholder collaboration in the whole stage of CIPs. The governance effect is determined by the changeable contractual and relational governance structure, not just the stakeholder’s power of the general understanding. The findings have implications for the governance of CIPs and mainstream project governance research. Full article