Unravelling the effects of Science Parks on the innovation performance of NTBFs

Ramı́rez-Alesón, Marisa; Olmos, Marta Fernández

doi:10.1007/s10961-017-9559-y

Cited by 30 publications

(30 citation statements)

References 71 publications

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“…Such knowledge sharing has been demonstrated to increase innovation performance of firms (Soto-Acosta et al 2017). Thus, innovation performance is considered in the context of product or service differentiation to the market (e.g., Ramírez-Alesón and Fernández-Olmos 2017;Soto-Acosta et al 2017). Nevertheless, patents are also indicators of product differentiation and NTBFs that need to strengthen their innovation performance and resources for this will need to collaborate with others.…”

Section: Innovation Performance With Respect To Ntbfsmentioning

confidence: 99%

“…Science parks and incubator networks further enhance access to resources, such as external financing, that is important for patent development (Löfsten and Lindelöf 2003;Ferguson and Olofsson 2004;Aaboen 2009). Thus, localization close to such networks has been important for NTBFs (Löfsten and Lindelöf 2002;Vásquez-Urriago et al 2016;Ramírez-Alesón and Fernández-Olmos 2017).…”

Section: Innovation Performance With Respect To Ntbfsmentioning

confidence: 99%

“…NTBFs often access such business networks and R&D networks through connections with science parks and their incubator networks (e.g., Löfsten and Lindelöf 2003). These networks can further be used by new firms as a platform to overcome liabilities of "newness" (Ferguson and Olofsson 2004;Ramírez-Alesón and Fernández-Olmos 2017).…”

Section: Business Networkmentioning

confidence: 99%

“…New technology-based firms (NTBFs) need to collaborate with external stakeholders and build networks in order to acquire technical expertise and equipment to develop their technologies and innovation performance (e.g., Yli-Renko et al 2001;Davidsson and Honig 2003;Löfsten 2015;Ramírez-Alesón and Fernández-Olmos 2017). A firm's portfolio of internal resources, both material and non-material, is important for its competitive advantage (Barney 1991).…”

Section: Introductionmentioning

confidence: 99%

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Business networks and localization effects for new Swedish technology-based firms’ innovation performance

2018

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This study examines the business networks and localization effects for new technology-based firms (NTBFs) in the context of innovation performance (the number of patents and product differentiation). In this regard, the study includes 28 variables. A survey was conducted in 2016 with 401 Swedish NTBFs that were small and young (the employment mean was 1.80 and the average age of each firm was 28.3 months). The biggest category of NTBFs was knowledge-intensive high-technology services, followed by medium high-technology manufacturing, and high-technology manufacturing. Hypotheses on how business networks and localization are related to innovation performance were tested using principal component analysis, correlation analysis, and regression analysis. The results show that the primary significant factor for innovation performance regarding business networks and localization dimensions are professional network services, while industrial and regional areas also have a positive relationship on product differentiation. Our study also shows that innovation performance enhances firms' abilities to access external financing through professional network services (e.g., venture capital companies).

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Section: Innovation Performance With Respect To Ntbfsmentioning

confidence: 99%

Section: Innovation Performance With Respect To Ntbfsmentioning

confidence: 99%

Section: Business Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Business networks and localization effects for new Swedish technology-based firms’ innovation performance

2018

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“…Previous research believes that communication and cooperation between enterprises can be used to create dynamic capabilities [44], which bring higher level of innovation and competitive advantage. Enterprises in the center of knowledge network have more ways to obtain innovation resources [45]. When an enterprise uses external resources for innovation, the ability to absorb and use these resources will affect its innovation performance [46].…”

Section: Discussionmentioning

confidence: 99%

City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China

Wang

Yang

Qin

2020

IJERPH

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Based on the panel data of 106 cities in the Yangtze River Economic Belt of China from 2007 to 2016, this paper explores the impact of city centrality on the green innovation efficiency and proves the mediation effect of migrants by using spatial econometric model. The results show that there are more and more innovation contacts between cities, and the innovation network is becoming more and more dense. The core cities of the downstream innovation network are mainly Yangzhou, Zhenjiang, Wuxi, Changzhou, Suzhou and Hangzhou; the core cities in the midstream are mainly Wuhan, Changsha and Yichun; the core cities in the upstream are Chengdu and Bazhong. There is an inverted U-shaped relationship between city centrality and green innovation efficiency. In addition, the influence curve of city centrality on the green innovation efficiency of surrounding cities is also inverted U-shaped. Cities with high city centrality attract a large number of migrants that come from cities with lower centrality to improve the green innovation efficiency, but the green innovation efficiency of cities with low city centrality will decline due to lack of talents. innovation increasingly implies long-term and far-reaching changes in technology, infrastructure, lifestyles and institutions. With the rapid growth of the world's population, living space has been dramatically reduced, and traditional production, manufacturing and business models largely cannot keep up with the pace of economic development. Natural resources are increasingly scarce, and environmental damage is becoming increasingly serious [3]. To reduce environmental pollution and energy consumption, countries are paying growing attention to green technology innovation to achieve the maximum economic and ecological benefits with the lowest levels of consumption and pollution [4]. Chen et al. define green innovation as "hardware or software innovation related to green products or processes, which include technological innovation related to energy conservation, pollution prevention, waste recycling and green product design [5]." Innovation is the fundamental driving force for promoting economic and social development, and green technology innovation is the key driving force for achieving low-carbon economic development and improving the efficiency of natural resources [6]. China has always placed innovation in an important position in the overall development of the country. Relevant data show that the number of R&D personnel in China increased from 304,000 in 2008 to 462,000 in 2017. Internal R&D expenditures over the same period increased from 68.79 billion yuan to 243.57 billion yuan, with an average annual growth rate of 15.08%. Bai [7], however, notes that increasing R&D is a necessary condition for building an innovative country; the focus should be not only on the amount of R&D investment but also on the efficiency of innovation, it is equally salient for developing countries with low levels of science and technology. Green innovation efficiency is a comprehensive effic...

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Science Technology Parks and Close Relations: Heterogeneity, Context and Data

Wright

Westhead

2019

Palgrave Advances in the Economics of Innovation and Technology

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Unravelling the effects of Science Parks on the innovation performance of NTBFs

Cited by 30 publications

References 71 publications

Business networks and localization effects for new Swedish technology-based firms’ innovation performance

Business networks and localization effects for new Swedish technology-based firms’ innovation performance

City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China

Science Technology Parks and Close Relations: Heterogeneity, Context and Data

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