How Do Clusters Drive Firm Performance in the Regional Innovation System? A Causal Complexity Analysis in Chinese Strategic Emerging Industries

Zhao, Liangjie; Yan, Liang; Tu, Ho Phi

doi:10.3390/systems11050229

Cited by 4 publications

(1 citation statement)

References 135 publications

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“…Clusters are highlighted as a type of inter-organizational network that contributes to regional development and competitiveness (Franco and Esteves 2020). Clusters can be defined as interconnected entities (composed of different types of stakeholders) that cooperate among themselves, creating competitive advantages and developing environments that promote innovativeness (Zhao et al 2023;Owen-Smith and Powell 2004;Whittington et al 2009). In this context, inter-stakeholder knowledge exchanges arise as an alternative, filling the firm's knowledge gaps and helping to innovate and enter new markets (Porter 1990;Anicet Bittencourt et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Drivers for Clustering and Inter-Project Collaboration—A Case of Horizon Europe Projects

Benissa,

Patil

2024

Administrative Sciences

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This paper investigates the drivers and dynamics of clustering and inter-project collaboration within the framework of the Horizon Europe and Horizon 2020 projects. Leveraging a survey-based approach, we examine key themes surrounding the perception of clustering, the willingness to share information under legal confidentiality, and motivations for engaging with partners from different projects. The survey instrument, implemented via Microsoft Forms, was distributed among the consortia of eight EU projects participating in the SOLID4B cluster. Notably, the questionnaire was meticulously crafted based on an in-depth analysis of the SOLID4B case and comprehensive discussions with project coordinators and communication and dissemination managers from all participating projects. These discussions aimed to establish a clear roadmap for the cluster, ensuring the questionnaire’s relevance and usefulness for all participants. Data analysis was conducted within the same platform, facilitating efficient data processing and visualization. Our findings reveal that a significant majority of respondents (48 out of 55) perceive clustering as a valuable asset, indicative of a positive shift in perspectives. Challenges related to confidentiality were addressed through nuanced insights, with respondents demonstrating a willingness to share routine best practices, significant breakthroughs, and deliverables within a legally protected framework. Furthermore, a robust majority (40 out of 55) expressed a keen interest in collaborative endeavors, underscoring a collective drive to extend activities beyond individual project boundaries. The study highlights the importance of clustering with other projects in maximizing the impact of the Horizon program, extending stakeholder networks, and sharing knowledge and achievements in research and innovation. These insights contribute to a deeper understanding of the motivations and challenges surrounding clustering and collaboration within the Horizon Europe and Horizon 2020 projects. Ultimately, the findings pave the way for informed strategies aimed at fostering a dynamic and interconnected research community.

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Section: Introductionmentioning

confidence: 99%

Drivers for Clustering and Inter-Project Collaboration—A Case of Horizon Europe Projects

Benissa,

Patil

2024

Administrative Sciences

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The cluster analysis in the aluminium industry with K-means method: an application for Bahrain

Al Qahtani,

P. Sankar

2024

Cogent Business & Management

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Microelement Integration Drives Smart Manufacturing: A Mixed Method Study

Li,

Gong,

et al. 2024

Systems

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Smart manufacturing is an important initiative to promote the transformation and upgrading of industries and the high-quality development of the economy. However, the current situation of digitalized smart transformation in manufacturing enterprises is not optimistic, which is primarily attributed to the ambiguity surrounding the pathways. This study is based on the technology-organization-environment-individual (TOE-I) analytical framework; it selects 20 case studies of advanced manufacturing enterprises; and employs case studies and necessary condition fuzzy set qualitative comparative research methods (NCA and fsQCA) to investigate the pathways through which technology, organization, the environment, and individual microelements synergistically drive smart manufacturing from a configurational perspective. The study reveals that digital technology breakthroughs, digital infrastructure, digital talent, digital sharing, organizational resilience, organizational culture, and the entrepreneurial spirit are the core influencing factors in advancing smart manufacturing for manufacturing enterprises, and four implementation paths driven by smart manufacturing are analyzed. Among them, digital technology breakthroughs and digital infrastructure have a potential substitutive relationship in the “technology + talent” empowerment organizational model. Organizational resilience, organizational culture, and the entrepreneurial spirit are important safeguards for successful advancements in smart manufacturing. In contrast, digital infrastructure plays a more indirect, supporting role. Accordingly, this paper provides theoretical reference and practical guidance.

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How Do Clusters Drive Firm Performance in the Regional Innovation System? A Causal Complexity Analysis in Chinese Strategic Emerging Industries

Cited by 4 publications

References 135 publications

Drivers for Clustering and Inter-Project Collaboration—A Case of Horizon Europe Projects

Drivers for Clustering and Inter-Project Collaboration—A Case of Horizon Europe Projects

The cluster analysis in the aluminium industry with K-means method: an application for Bahrain

Microelement Integration Drives Smart Manufacturing: A Mixed Method Study

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