Triple Helix最新文献

Technology Transfer (TT) process is complex and influenced by numerous factors. Associated with this context, the recent and growing Digital Transformation has impacted practically all sectors, through disruptive technologies such as the Internet of Things (IoT), 5G and 6G networks, Industry 4.0, Digital Agriculture, and Artificial Intelligence, among others. Thus, the present study intends to investigate the characteristics of TT processes involving digital solutions generated by Public Research Institutes, seeking to identify the factors that interfere in this process. A literature review was carried out regarding the factors that influence a TT process focused on digital technologies produced by Public Research Institutes, followed by the systematization of the findings and the proposition of a theoretical model. Thus, this study seeks to contribute to the understanding of the critical factors for the TT processes associated with digital innovation.

This article explores the complexities of intangible knowledge transfer in university- industry collaborations, offering a comprehensive view of the current landscape and its future direction. Using a bibliometric and systematic literature review of 1496 articles and 20 selected studies, the research identifies key trends and patterns. Despite differences between academic and practical domains, the study finds that informal networking and personal interactions facilitate mutually beneficial partnerships, regardless of industry type, firm size, or academic specialization. The paper highlights the crucial role of intangible knowledge transfer platforms in fostering effective collaborations and advocates for streamlined protocols to enhance knowledge exchange between academia and businesses. Introducing the Unity Index, the paper provides a novel tool to analyze key authors and relationships between variables, offering new insights and opportunities for future research. This study emphasizes the critical importance of intangible knowledge transfer in university-industry relationships, addressing gaps often overlooked in traditional analyses.

Economic policies have largely tried to impact the development of innovations from the supply side. However, demand-side policies have received more attention in recent years. Science and Technology (S&T) parks have traditionally been a supply-side innovation policy instrument and have not always been successful in achieving their goals. This study conducts two surveys and constructs two S&T park management models based on the survey results. One survey includes 64 Iranian S&T park experts and managers and the other survey includes 31 S&T park experts from 17 countries. These models conform to the third generation of S&T parks. In terms of innovation policy, they are leaning towards demand-oriented policies and are expected to be more effective than supply-oriented models. The results showed that ownership, funding sources, incentives for tenants and linkages of S&T parks should move from supply-side models to demand-side models.

The paper dates back to the period when the author became acquainted with Loet Leydesdorff and is mainly devoted to the research that the author had the opportunity to conduct together with Loet. Major research topics include the development of the Triple Helix model and the dynamic model of inter-social communication, which appear to be closely interrelated. The full consequences of his work are yet to be realized. I also present a vision of possible applications and future extensions of Loet’s work.

Academic, government, and industry researchers have attempted to build some theoretical and empirical ways to understanding how to innovate and interact in data- driven contexts in recent years. However, it does not appear to go above and beyond our expectations in terms of offering fresh views and resources to investigate this trend in terms of measurement. In this brief study, I show how Dimensions.ai, a new academic big data resource, can be used to assess knowledge-based innovation processes in emerging and transitional countries like Vietnam. This article investigates creativity and collaboration in Ho Chi Minh City using a “n-tuple helix” framework based on Loet Leydesdorff’s sociological theory of communication. From a social network standpoint, I argued that a city’s innovation system is inextricably linked to its position in intercity and global co-authorship networks. This shows how the helix model and applications can be utilized to discover a data-driven society.

This paper is an in memoriam tribute to the distinguished scholar Loet Leydesdorff written by some of his academic collaborators, including the editors of the Triple Helix journal and representatives of the Triple Helix Association. The paper revisits Loet Leydesdorff’s seminal contributions and legacy in innovation studies, particularly his work on the Triple Helix model and the measurement of Triple Helix synergies. Additionally, we highlight that Loet was not only a prolific author and outstanding scholar but also a humble person who played a crucial role in the community formed around Triple Helix ideas. The paper also serves as the editorial for the special issue of Triple Helix journal, titled “Legacy of Leydesdorff and the Triple Helix”.

Cities evolve rapidly while providing both opportunities and posing challenges. To cope with the emerging behaviours of cities, contextual innovations and development are essential. Driving innovations through the learning of contextual knowledge in cities is crucial. In this study, we explore relevant studies to identify the frameworks for human-centric innovations in cities that consider learning from within and/or across cities. We analyse how learning in cities has been addressed in those studies and find that even though some aspects of learning in cities have been studied, a comprehensive framework for how cities can learn as an innovation ecosystem is missing. Based on the findings of a scoping review and insights from the theories of the Triple, Quadruple and Quintuple helices of innovation, we present a high-level conceptual model for cities as innovation ecosystems. The model is aimed to support sustainable human-centric development through the understanding of city learning through multilevel interactions and feedback.

This article is a reflection on the enormous debt that I owe Loet for his kindness, generosity and intellectual mentorship. This is over a period of some twenty years. Loet also became part of the Centre for Innovation Management Research (CIMR) at Birkbeck, University of London. In one of our final articles together, Loet drew the different stands of his work together by exploring synergies in scholarship of members of CIMR.