Do founders' own resources matter? The influence of business networks on start-up innovation and performance

Huang, Hao-Chen; Lai, Mei-Chi; Lo, Kuo-Wei

doi:10.1016/j.technovation.2011.12.004

Cited by 89 publications

(72 citation statements)

References 87 publications

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“…This finding that networking of an entrepreneur affects the quality of the firm network is not new (Huang et al 2012). However, studies that include networks at the level of the individual entrepreneur as well as the level of the firm have been extremely rare (for exceptions see Cheraghi and Schott 2014;Huang et al 2012).…”

Section: Discussionmentioning

confidence: 99%

“…However, studies that include networks at the level of the individual entrepreneur as well as the level of the firm have been extremely rare (for exceptions see Cheraghi and Schott 2014;Huang et al 2012). Further, to our knowledge, their joint effects on innovation has until now not been tested on a global scale.…”

Section: Discussionmentioning

confidence: 99%

“…Huang et al (2012) distinguishes between the network spanned by the entrepreneur's (founder's) interpersonal ties, and the firm (business) networks spanning interfirm relationships between the focal firm and its suppliers, customers, and competitors etc. This mirrors the distinction by Dubine and Aldrich (1991) who conceptualized personal and extended network.…”

Section: Individual and Firm-level Networkmentioning

confidence: 99%

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Start-up firms’ networks for innovation and export: facilitated and constrained by entrepreneurs’ networking in private and public spheres

Jensen

Schøtt

2015

Soc. Netw. Anal. Min.

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Research on how start-up firms utilize networks has focused on direct effects of either the personal network around the entrepreneur or the formal collaboration network around the firm. Combining those approaches, we model how a firm's collaboration network is embedded in the personal network around the entrepreneur. With data from the Global Entrepreneurship Monitor on 8918 start-up firms in 40 countries surveyed during 2012-2013, we examine (1) how entrepreneurs' networking in private and public spheres is impacting firms' collaborative networking, (2) how both the personal network and the firm network are impacting performance in forms of innovation and exporting, and (3) how embeddedness of the firm network in the private and public sphere networks around the entrepreneur is affecting innovation and export. The analyses show that the firm network as well as innovation and export are enhanced by the networking in the public sphere, but reduced by networking in the private sphere. Moreover, the benefits of firm network for innovation and export are strengthened by networking in the public sphere but weakened by networking in the private sphere. Finally, we find that innovation is a driver for export, and that this benefit is enhanced by networking in the public sphere, but decreases with networking in the private sphere. These findings refine our knowledge of the functioning of firms' networking for innovation, especially the positive effects of networking in the public sphere and negative effects of networking in the private sphere.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Individual and Firm-level Networkmentioning

confidence: 99%

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Start-up firms’ networks for innovation and export: facilitated and constrained by entrepreneurs’ networking in private and public spheres

Jensen

Schøtt

2015

Soc. Netw. Anal. Min.

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“…However, accord ing to [35], startups do not have sufficient resources to leverage their enterprises. In view of the foregoing points, incubators should be installed strategically so that their entrepreneurs have more business opportunities and gain competitive advantage [7].…”

Section: Incubators and The Buil Ding Of Innovati Ve Environmentsmentioning

confidence: 99%

A Pratical Benchmark for Quality Certification in Business Incubators

Carmo¹,

Santos²,

Barros³

2017

IJERA

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This study aims to create a pract ical quality benchmark for incubators. The benchmark is a model to be followed in order to help incubators deploy all processes defined by the quality accreditation label called Centro de Referência para Apoio a Novos Empreendimentos [Reference Center fo r Support to New Ventures] -Cerne. The purpose of this label is to standardize the processes and level the quality of the incubators. The study was based mainly on two tools of quality management. One is the PDCA cycle and the other is the 5W2H. There are countless benefits fro m this certification. A mong such benefits: ensuring the incubated companies higher quality in rendered services; enhancing the visibility and credibility of the incubator and incubated companies; reducing process variability; increasing the competitiveness of the incubator; in addition to benefiting fro m a more effective and systematic management system. Thus, this practical benchmark will be very useful for any incubator that has an interest in receiving the Cerne accred itation. Those involved with the incubators had a positive experience with the objective material, with clear and organized information. With this material, it will be simp ler to systematize and standardize the processes required by Cerne accreditation.

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“…Non-response bias was assessed via a comparison between first-wave (early respondent) and second-wave (late respondent) data [30]. Following the procedure suggested by Armstrong and Overton [30], t-tests were performed comparing early and late respondents with regard to key characteristics such as firm size and annual sales. No significant differences were found between early and late respondents in terms of firm size or annual sales at the 5% confidence level.…”

Section: Moderating Effects Of Transformative Capacitymentioning

confidence: 99%

Technological Learning and Technological Innovation Creation: An Empirical Analysis of Biotechnology R&D Teams

Huang

2013

JESTR

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Resource-based perspective was used to relate the technological learning processes and transformative capacity to technological innovation using a sample of 193 biotechnology R&D teams. Structural equation modeling was used to conduct confirmatory factor analysis (CFA) to evaluate the measurement model, while hierarchical regression analysis was used to test the hypotheses. As expected, the technological learning processes were positively associated with technological innovation. Further, the transformative capacity of R&D team was also crucial. The transformative capacity is a powerful approach to maintaining, transforming, and reactivating knowledge for biotechnology firms. It positively moderated the association between external learning and technological innovation.

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Do founders' own resources matter? The influence of business networks on start-up innovation and performance

Cited by 89 publications

References 87 publications

Start-up firms’ networks for innovation and export: facilitated and constrained by entrepreneurs’ networking in private and public spheres

Start-up firms’ networks for innovation and export: facilitated and constrained by entrepreneurs’ networking in private and public spheres

A Pratical Benchmark for Quality Certification in Business Incubators

Technological Learning and Technological Innovation Creation: An Empirical Analysis of Biotechnology R&D Teams

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