Growth determinants in entrepreneurship: A longitudinal study of Spanish technology-based university spin-offs

Rodríguez-Gulías, María Jesús; López, Sara Fernández; Pazos, David Rodeiro

doi:10.1007/s10843-016-0185-9

Cited by 30 publications

(26 citation statements)

References 35 publications

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“…Finally, there are those authors who consider that the success of the USO is directly related to growth (Clarysse et al, 2011;Khadhraoui et al, 2019;Migliori et al, 2019;Rodríguez-Gulías et al, 2016a). In this way of thinking, a USO is considered a successful firm if, in addition to surviving for a certain period of time, it is able to grow in its levels of employment and sales (Bessière et al, 2017;Bock et al, 2018;Mustar et al, 2008;Niosi, 2006;Shane & Stuart, 2002).…”

Section: The Success Of the Usosmentioning

confidence: 99%

Analyzing the Effects of Institutional- and Ecosystem-Level Variables on University Spin-Off Performance

2020

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Academic entrepreneurship has been one of the main research fields over the past 20 years, specifically due to the interest of policy makers in this topic. Initially, this interest focused on the creation of university spin-off (USO) firms; although given the new circumstances of the university and its context, there is a need to steer the research topic toward survival. This is because the simple creation of USOs, without their being able to survive or create value, is useless. This article focuses on one of the determining factors of the success of USOs, as measured by employment and sales growth: the influence of institutional- and ecosystem-level variables. Through a backward sequential process, our results show that the business size and the public support in the field of training and bureaucracy are the main elements that affect success.

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Section: The Success Of the Usosmentioning

confidence: 99%

Analyzing the Effects of Institutional- and Ecosystem-Level Variables on University Spin-Off Performance

2020

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“…Additionally, we use the square of the age of the company (LNEDADCUAD), to verify the existence of non-linear relationships (Rodríguez et al, 2016). In order to determine the effect of the sector, we create a dummy that takes the value 1 if the company belongs to the industrial sector (IND), and 0 otherwise.…”

Section: Definition and Measurement Of The Variablesmentioning

confidence: 99%

Effects of innovation on the growth of ecuadorian firms: a quantile analysis

Pazos¹,

Simbaña-Taipe²,

Rodríguez-Gulías³

et al. 2018

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This paper analyzes the relationship between firms' innovation and growth measured by sales and labor productivity in Ecuador. The literature on this topic has focused mainly on developed countries. We apply panel data quantile regressions to analyze a sample of 99,872 private limited company and public limited company for the period 2000-2013. Quantile regression allows us to avoid conventional analysis through the study of the average impact for the average company, which can lead to the discovery of phenomena underlying relationships. The results show that firm innovation has a negative on productivity growth. In contrast, there is a positive relationship between innovation and sales growth for firms in some quantiles. These results lead us to establish a series of recommendations aimed at public policy decision-makers. In particular, the support of government entities is important for a company's R&D activities, which contribute to generating profitable intangible assets. This support can be through advice, subsidies, or tax benefits, among others. At the country level, government effort to protect intangible assets is also important, promoting competitive advantages for those companies that actually invest or buy such assets.

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“…Rotefoss and Kolvereid 2005;Edelman and Yli-Renko 2010;Gartner and Liao 2012;Hopp 2015;Frid et al 2016) The third definition measured the phenomenon of academic entrepreneurship through the number of the following: (a) university spin-off ventures during their initial phase of the entrepreneurial process(Rasmussen and Borch 2010;Hannibal et al 2016); (b) academic scientists involved in the commercialisation of technology via university spin-offs(Pilegaard et al 2010;González-Pernía et al 2013;Beraza-Garmendia and Rodríguez-Castellanos 2015;Rodríguez-Gulías et al 2016); and (c) technology-based ventures incubated in a university incubator(Patton 2014).…”

mentioning

confidence: 99%

The influence of ecosystems on the entrepreneurship process: a comparison across developed and developing economies

2020

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Over the past 30 years, the academic literature has legitimised the significant impact of environmental conditions on entrepreneurial activity. In the past 5 years, in particular, the academic debate has focused on the elements that configure entrepreneurship ecosystems and their influence on the creation of high-growth ventures. Previous studies have also recognised the heterogeneity of environmental conditions (including policies, support programs, funding, culture, professional infrastructure, university support, labour market, R&D, and market dynamics) across regions/countries. Yet, an in-depth discussion is required to address how environmental conditions vary per entrepreneurial stage of enterprises within certain regions/countries, as well as how these conditions determine the technological factor of the entrepreneurial process. By reviewing the literature from 2000 to 2017, this paper analyses the environmental conditions that have influenced the transitions towards becoming potential entrepreneurs, nascent/new entrepreneurs, and established/consolidated entrepreneurs in both developed and developing economies. Our findings show why diversity in entrepreneurship and context is significant. Favourable conditions include professional support, incubators/accelerators, networking with multiple agents, and R&D investments. Less favourable conditions include a lack of funding sources, labour market conditions, and social norms. Our paper contributes by proposing a research agenda and implications for stakeholders.

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Growth determinants in entrepreneurship: A longitudinal study of Spanish technology-based university spin-offs

Cited by 30 publications

References 35 publications

Analyzing the Effects of Institutional- and Ecosystem-Level Variables on University Spin-Off Performance

Analyzing the Effects of Institutional- and Ecosystem-Level Variables on University Spin-Off Performance

Effects of innovation on the growth of ecuadorian firms: a quantile analysis

The influence of ecosystems on the entrepreneurship process: a comparison across developed and developing economies

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