The Evolution of Innovation Networks and Spin-off Entrepreneurship: The Case of RAD

Frenkel, Amnon; Israel, Emil; Maital, Shlomo

doi:10.1080/09654313.2014.998171

Cited by 10 publications

(4 citation statements)

References 65 publications

(75 reference statements)

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“…They provide knowledge about new technologies, but also on markets, legal and financial aspects even if seldom startuppers get their ideas form their academic environment (Rubin et al , 2015). According to Frenkel et al (2015), an ecosystem including diverse technologies encourages the creation of startups. In order to effectively exchange knowledge, both formal and informal relations among the actors in the ecosystems are important (Padilla-Melendez et al , 2013).…”

Section: Resultsmentioning

confidence: 99%

Startups and open innovation: a review of the literature

Spender

Corvello

Grimaldi

et al. 2017

EJIM

303

217

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Purpose Startup companies represent a powerful engine of open innovation (OI) processes. The purpose of this paper is to represent a first step in building a map of the state-of-the-art knowledge of the “startups in an OI context” phenomenon. Through the selection and analysis of relevant literature, this study aims at deepening our understanding of the theme and at providing directions for future research. Design/methodology/approach By using an explicit method for the review (Pittaway et al., 2004) the authors selected a set of papers, which cover the knowledge domain object of this study. In total, 41 articles about “startups and OI” have been selected and the full papers have been analysed. Findings The analysed literature has been synthesized in seven sub-topics, which have been evaluated as the most relevant in explaining the phenomenon of startups in relation to OI. Implications for research, for managers and for policy makers conclude the paper. Practical implications The review produced valuable knowledge for both managers and policy decision-makers. The paper allows a better understanding of the role of startups in OI processes. This improved understanding can help managers of large firms as well as policy makers involved in OI in making their decisions. Besides, implications of OI strategies for startup managers have been singled-out. Originality/value Startup companies are intrinsically open organizations, necessarily engaged in innovation processes. Research at the intersection between the themes of OI and startups is gaining momentum. This review of the literature represents the first attempt to organize the scientific knowledge related to the intersection between the startups and OI phenomena systematically.

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Section: Resultsmentioning

confidence: 99%

Startups and open innovation: a review of the literature

Spender

Corvello

Grimaldi

et al. 2017

EJIM

303

217

View full text Add to dashboard Cite

show abstract

“…What is different in the Spokane cluster compared to the Marshallian/Italian type district is that there is no substantial trade within the district. Another aspect mentioned by several authors such as Sölvell (2009); Boschma (2014) and Furlan and Grandinetti (2014) and sometimes identified with the Marshallian district is that of spin-off firms which is seen as a primary mechanism underlying clustering (Klepper, 2010;Cusmano et al, 2015;Frenkel et al, 2015). So far spin-offs have not (yet) occurred in the Spokane cluster.…”

Section: Collaborativementioning

confidence: 98%

“…One means of innovation is connected with the already mentioned concept of spin-off firms (Frenkel et al, 2015) and entrepreneurship (Kim, 2015). Innovation is also connected with knowledge spillover from universities (see for example the development of the Boston area biotechnology cluster in Owen-Smith and Powell, 2006) and more generally for technology-based industries (Mowery and Ziedonis, 2014).…”

Section: Innovationmentioning

confidence: 99%

Early stage cluster development: a manufacturers-led approach in the aircraft industry

Steenhuis

Kiefer

2016

Competitiveness Review

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Purpose – The purpose of this study is to explore the early stage of development of a cluster. The literature on early stage of cluster development shows that there are often random effects such as an entrepreneur and spin-off companies, and in this study, a coordinated approach for cluster development is described. Design/methodology/approach – A single exploratory case study approach is followed. The aerospace cluster in the Spokane region, State of Washington, is described. Data from a variety of sources are triangulated to enhance the credibility of the case study findings. Findings – It was found that although there are many types of collaborations occurring in the region, which involve policy and government organizations, the main driver of the early-stage cluster development is manufacturers-led coordinating mechanism. Individual manufacturers are too small to be successful in the aerospace industry, and they are collaborating to present a united “front” to out-of-the-region customers. Once customers place an order, then within this coordinating mechanism, the work is divided among different manufacturers. Research limitations/implications – The research has two main limitations. First, it is a single case study, and therefore, the results may not be generalizable. Second, the cluster is in an early stage of development, so it is not (yet) clear whether this manufacturers-led coordinated approach will have long-term success. Practical implications – The studies offer potential for cluster development that go beyond relying on a single entrepreneur or on mostly government- or policy-driven initiatives. Instead, this is an approach that can be used by industry to lift the overall competitiveness of their region. Social implications – This cluster development approach offers potential for economic development of smaller regions which mainly consist of small- and medium-sized companies without endowment benefits or a large local customer base. Originality/value – This study adds to the existing knowledge on clusters and cluster types. The identified cluster approach does not fit with the main types of clusters that have been identified in the literature. The companies involved are mainly small- to medium-sized companies, but by coordinating their capabilities, they are able to present core capabilities in a much more attractive manner to customers. This cluster development approach is not driven by or achieved through advantages in innovation, vertical or horizontal supply chain competition and advantages, creation of spin-off firms, or a regional demand base as customers are located outside the region. It deviates in terms of the types of companies involved and, mostly, in a sense that it acts as one unit to customers who are located outside the region.

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“…There is a common belief that social and cognitive proximity intersections help actors to maintain the business relationships facilitating knowledge exchange (Frenkel et al, 2015). Actors with SP usually have better exchange for ideas and technological information, closer communication, and enhanced trust in social relations facilitate the identification and transfer of high-quality information which further increased their cognitive proximity while providing the common knowledge base that is necessary for cooperation (Breschi and Lissoni, 2005).…”

Section: The Interaction Effect Of Social Proximity and Cognitive Pro...mentioning

confidence: 99%

Understanding the Joint Impacts of Cognitive, Social, and Geographic Proximities on the Performance of Innovation Collaboration Between Knowledge-Intensive Business Services and the Manufacturing Industry: Empirical Evidence From China

et al. 2022

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Most previous empirical studies just addressed the influence of geographical proximity on interactive learning regarding the collaboration between knowledge-intensive business service (KIBS) and manufacturing industries. Drawing upon the social cognitive and knowledge-based perspective, this study bridged the research gaps by investigating the joint effects of geographical proximity and two representative non-geographic-proximities (i.e., cognitive proximity and social proximity) in fostering manufacturing firms’ innovation performance. In terms of the empirical analysis, we applied a research sample that involves the data of various manufacturing industries in 260 cities of China from 2003 to 2014 to test the corresponding hypotheses. Additionally, the Spatial Durbin Model (SDM) was adopted and the research findings showed that: (i) the geographic and social proximity significantly promote the knowledge transfer from KIBS to manufacturing firms, which further improves the innovation performance of the latter. However, the effect of cognitive proximity presents insignificant; (ii) the interactive effect of geographic and social proximity was positively associated with the innovation collaboration between KIBS and manufacturing firms; (iii) although the individual effect of cognitive proximity was insignificant, when it interacted with geographic or social proximity, the joint effects were proved to promote the innovation performance of manufacturing firms. This study extends our understanding pertaining to the influencing mechanism of proximity for KIBS and the innovation process. The findings proved that geographic and social proximity are two imperative facilitators of knowledge-creating collaboration, highlighting their indispensable role in moderating and mediating the knowledge transfer of KIBS as well as the innovation performance of manufacturing firms. Notably, cognitive proximity is contingent upon geographic and social proximity on its positive effects on the innovation performance for KIBS and their clients’ collaboration.

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The Evolution of Innovation Networks and Spin-off Entrepreneurship: The Case of RAD

Cited by 10 publications

References 65 publications

Startups and open innovation: a review of the literature

Startups and open innovation: a review of the literature

Early stage cluster development: a manufacturers-led approach in the aircraft industry

Understanding the Joint Impacts of Cognitive, Social, and Geographic Proximities on the Performance of Innovation Collaboration Between Knowledge-Intensive Business Services and the Manufacturing Industry: Empirical Evidence From China

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