scholarly journals The Role of Proximity Dimensions in Facilitating University-Industry Collaboration in Peripheral Regions: Insights from a Comparative Case Study in Northern Norway

2018 ◽  
Vol 9 (0) ◽  
pp. 312
Author(s):  
Trond Nilsen ◽  
Thomas Andre Lauvås

It is commonly argued in the literature on regional innovation that regions must continuously develop new economic activities to compensate for economic decline. If a region manages to diversify from an existing path, it can sustain long-term economic development. One of the measures taken to increase these types of opportunities and to avoid lock-in is to stimulate a closer relationship and collaboration between universities and industry partners. However, we know little about the formation and investigation of successful university-industry relationships in regions outside metropolitan areas. This paper seeks to fill this research gap by investigating how different dimensions of cognitive, organizational, social and geographical proximity facilitate or hinder innovation processes in collaborations between industry and universities in peripheral regions. We find that social proximity, combined with high organizational proximity, overcomes the barriers presented by low geographical proximity. Social proximity compensates for thin regional structures with few high-tech firms, a lack of knowledge producers and a weak support system. An important policy implication is that stimulating collaboration within areas of expertise possessed by university and industry partners create potential for innovation.

Author(s):  
Marcia Villasana

This chapter introduces the case of the northern state of Nuevo Leon, Mexico, where particularly after 2003 the state government began implementing actions aimed at developing high-technology clusters in the region around strategic knowledge areas, biotechnology being one of them. In this context, the chapter presents findings from an empirical investigation on the interactions between academia and industry, focusing on the university biotechnology researcher’s viewpoint. The author hopes to contribute to not only to the growing body of empirical literature on how relevant actors within a regional innovation system engage in working relationships particularly with high-technology industries, but to inform policymakers for the better design of instruments aimed at strengthening university-industry interactions.


2021 ◽  
Author(s):  
Utku Ali Riza Alpaydin

Firms and universities interact with each other despite several barriers hindering their collaboration, such as distances in their worldviews, organizational structures and cognitive capabilities. This suggests that these distances can be bridged in some instances and proximity between the actors may help in the formation of university-industry collaborations (UICs). Proximity, being a multidimensional concept – including geographical and a variety of non-geographical dimensions such as cognitive, organizational, institutional and social – plays a bridging role between the two worlds of academia and industry and facilitates the formation of university-industry linkages. UIC, as well, represents an umbrella term that covers many different types of channels and refers to a broad range of activities as well as outputs of the interactions. Moreover, firms are driven by a variety of different motivations that influence their decision to engage in UICs, which adds to the comprehensiveness of UIC concept. This thesis, thus, examines UICs from the proximity perspective and aims to increase the understanding of proximity in UICs. It analyses the role, importance and influence of proximities with regards to UICs, which differ greatly in terms of their contents, outputs and motivations. Proximity, through its geographical and non-geographical dimensions, helps in the formation of collaborations between firms and universities. Yet, the influence and importance of different forms of proximity depend heavily on the UIC channels in question and the initial motivation of the firm to interact with universities. Additionally, while proximity dimensions influence UIC outputs generated, the collaboration process might also have an impact on changing the proximity between actors. Despite the overall acknowledgement of the multidimensional character of the proximity concept, it is generally assumed that geographical proximity is a strong facilitator of interactions between academia and industry. However, several UIC activities, such as co-publishing, can be geographically dispersed since the collaboration of actors over large distances is possible. In addition, multinational enterprises (MNEs) present a rather unique configuration for the analysis of the importance of geographical proximity in UICs owing to their distributed organizational structures across different geographical locations. This dissertation, hence, examines the importance of geographical proximity for MNE’s collaboration with universities. Through a case study of copublication partnerships in the MNE-university setting, the findings demonstrate that the propensity to collaborate with regional vs. nonregional universities varies by the location of subsidiaries. While this may be caused by the differences in the influence of geographical proximity for different subunits within an MNE, it may well be due to some other factors which lead to different outcomes for the geography of UICs. This suggests a need for the inclusion of non-geographical dimensions of proximity in order to explain better the influence of proximity dimensions in UICs alongside the geographical dimension. Previous studies have seldom taken into consideration the multidimensionality of the proximity concept of and UICs. They rather limited their scope of analysis by covering a limited number of proximity dimensions and UIC channels. This implies that most of the prior studies falls short of providing a thorough analysis of proximity dimensions in UICs. Therefore, following the proximity framework suggested by Boschma (2005), this dissertation presents a novel and comprehensive model that examines the significance of different proximity dimensions across UIC processes. With a quantitative methodology applied via the econometric examination of a survey conducted with 1201 firms, the empirical results highlight the variation in the significance of proximities by UIC channels and outputs. The findings indicate that cognitive proximity and institutional proximity have greater importance for knowledge exploration UICs, while geographical proximity matters less for this type of collaborations. For UICs oriented towards knowledge exploitation, social proximity is more important, whereas organizational proximity matters less for advice-seeking collaborations. There is a growing interest in the dynamic aspect of proximity, implying that interaction processes increase the proximity levels between the actors and proximities co-evolve during interaction processes since they are interrelated and interdependent (Balland et al., 2015; Broekel, 2015). However, the dynamics of proximity have not been examined extensively in UIC context. In this dissertation, this aspect has been addressed by looking at the outputs of UIC processes from the perspective of learning effects represented by non-geographical dimensions of proximity as intangible outputs. Drawing on the use of survey data, the results indicate a close relationship between the formalization of interactions and tangible outputs – such as patents – as well as the contribution of interaction processes in the development of non-geographical proximity regardless of the UIC types. Additionally, the motivations of firms in engaging in UICs vary across firms, and this has implications for who they choose to collaborate with. Different motivations may affect whether the firms collaborate with the university partners located either in proximity or at a distance. Similarly, the existence of non-geographical proximities may affect the spatiality of UICs, suggesting an interplay between geographical and nongeographical aspects of proximity. Yet, these two factors – motivations and non-geographical proximities – have not been examined within the scope of a single study. This dissertation, however, investigates whether and how firm motivations and non-geographical dimensions of proximity affect the geographical aspect of interactions between firms and universities. The results illustrate that UICs motivated by the need for capacity development and relying on cognitive proximity are less sensitive to distance, while geographical proximity matter more for firms intending to create societal impact and building their collaboration on institutional and social proximity.


2019 ◽  
Vol 33 (2) ◽  
pp. 83-95 ◽  
Author(s):  
Henry Etzkowitz

A boundary-spanning regional innovation model of permeability among university, industry and government is abstracted from Boston, Silicon Valley and Research Triangle and used to assess Newcastle Science City. Early history may provide a better guide for aspiring regions than abstracting elements from the contemporary Silicon Valley ecosystem with its multiple interactive technology and business paradigms. Inducing permeability in academic boundaries is a first step to creating an entrepreneurial university, the motive force of the most successful regional innovation clusters. After a high-tech cluster is achieved, the generative source of its firms is often forgotten, their origins obscured by highly visible artefacts and symbols, like science parks or branding. The increasing dependence of Silicon Valley on external sources of human capital and innovation is a potential Achilles heel, if competitive regions achieve ‘stickiness’ and retain their assets. Paradoxically, Silicon Valley is both unique and replicable.


2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.


2009 ◽  
Vol 84 (3) ◽  
pp. 649-667 ◽  
Author(s):  
Irene Ramos-Vielba ◽  
Manuel Fernández-Esquinas ◽  
Elena Espinosa-de-los-Monteros

Author(s):  
Nataliya Kravchenko ◽  
Almira Yusupova ◽  
Svetlana Kuznetsova

The paper discusses possibilities and directions for bridging the gaps between academic research and business by reducing barriers and strengthening incentives for the development of partnership interactions between participants of the regional innovation ecosystem. Many researchers from developed and developing countries focus on the problems of interaction between universities and companies in order to find ways to increase academic research effectiveness and make the results relevant to the business sector’s real demand. Development of partnership relations is known to be a factor which accelerates creation and dissemination of innovations. Improvement of such relationship favours academic researchers’ possibilities, educational programs adjustment, and regional economy development. Basing on international experience review, the paper determines the main tendencies and perspectives of research – business cooperation as well as key directions of partnership cooperation support. The empirical part of the paper deals with the results of original pilot survey which uses data from a number of research, educational organizations and high tech companies from Novosibirsk region. The aim of the survey was to analyze success factors and main obstacles for sustainable research – business cooperation. Qualitative methods including case studies, interviews, and surveys were used within the research. It is shown that, although all representatives of science and business recognize the need to develop partnership relationships, differences in motivations and conflicting goals of participants still remain. Besides well known barriers (lack of financial and other resources, personnel etc.) some other factors turned to be important. Low level of confidence and negative cooperation experience impede cooperation development. Personal issues and previous successful experience help to develop and improve partnerships. Such cases could be found. State support (especially at the regional level) is quite necessary; it is not limited to financial instruments. Support of communications which helps to increase the level of confidence and to decrease “attrition costs” of cooperation is also of great importance


Author(s):  
Leyla Ayvarovna Gamidullaeva ◽  
Vardan Mkrttchian ◽  
Alexey Finogeev

The chapter discusses the creation of a mechanism for ensuring reliable and secure interaction among participants in regional innovation systems based on the establishment of smart contracts in the blockchain. The technology allows to reduce the possibility of fraud by dishonest participants, as well as to exclude the need for a third party by transferring its functions to a smart contract. This is important for ensuring confidential and transparent relations between participants in innovative projects, as well as with interested subjects of social and economic activities in the regions. The Ethereum blockchain platform was chosen to create smart contracts. On its basis, there were developed components to perform transactions in contracting, creating, and implementing innovations, transferring intellectual property rights, using rights and licenses for innovation, etc. The main component of the system is a distributed transaction register with digital copies of innovation objects.


2019 ◽  
Vol 57 (2) ◽  
pp. 343-361 ◽  
Author(s):  
Manuela Presutti ◽  
Cristina Boari ◽  
Antonio Majocchi ◽  
Xavier Molina‐morales

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