Measuring the effect of business incubators on the innovation performance of start-ups

2017 ◽  
Vol 2017 (1) ◽  
pp. 10677
Author(s):  
Silvia Rita Sedita ◽  
Roberta Apa ◽  
Thomas Bassetti ◽  
Roberto Grandinetti
2018 ◽  
Vol 49 (4) ◽  
pp. 439-454 ◽  
Author(s):  
Silvia Rita Sedita ◽  
Roberta Apa ◽  
Thomas Bassetti ◽  
Roberto Grandinetti

2019 ◽  
Vol 12 (4) ◽  
pp. 188 ◽  
Author(s):  
Chuanrong Wu ◽  
Xiaoming Yang ◽  
Veronika Lee ◽  
Mark E. McMurtrey

Technological innovation requires large investments. Venture capital (VC) is a prominent financial source for innovative start-ups. A venture capitalist will inevitably transfer knowledge to facilitate the innovation of a firm while monitoring and advising its portfolio companies. Only when a firm has its own valuable new knowledge and high growth potential would venture capitalists select it. At the same time, big data knowledge, such as customer demands and user preferences, is also important for the new product development of a firm in the big data environment. Therefore, private knowledge transferred from venture capitalists, new knowledge developed independently by a firm itself, and big data knowledge are the three main types of knowledge for venture-backed firms in the big data environment. To find the influences of VC and knowledge transfer on the innovative performance of venture-backed firms, a model of maximizing the present value of the expected profit of new product innovation performance of a venture-backed firm in the big data environment is presented. The model can help venture capitalists to determine the scale of investment and the optimal exit time and predict the internal rate of return (IRR). This model can also help innovative start-ups to illustrate the value and prospects of a project to attract investment in their business prospectus.


2020 ◽  
Vol 12 (4) ◽  
pp. 385-408
Author(s):  
Bala Subrahmanya Mungila Hillemane

Purpose The purpose of this study is to explore how do the characteristics of technology business incubators (TBIs), their chief executive officers, selection process and incubation process influence their research and development (R&D) contributions to the national economy. Design/methodology/approach These research questions are probed based on primary data gathered from 65 TBIs located in Bangalore, Chennai and Hyderabad, 3 of the leading start-up hubs of India comprising 9 accelerators, 31 incubators and 25 co-working spaces. Stepwise (backward elimination) regression method has been applied for six regression models for the analysis of research objectives. Findings Incubators more than accelerators and co-working spaces have incurred R&D investments for infrastructure development and hired exclusive R&D personnel. External networks and size of incubators in terms of number of incubatees are decisive for R&D investments and new products/services. TBIs accounted for a negligible share of patents relative to the number of new products/services generated in these TBIs, thereby indicating “low level of novelty/innovativeness” of new products/services. However, both new products/services and patent applications are crucial for revenue generation, implying that the generated new products/services are able to penetrate the market and patent application submission can act as a “signal” to the market. Research limitations/implications The overall research findings portend that there is scope and potential for an increasing R&D contribution to emerge from the TBIs along with their incubated start-ups, to supplement the national R&D efforts in India in the future. The emphasis, of course, has to be more on strengthening the innovation ecosystem through TBIs by means of industry–institute partnerships. Practical implications This study’s practical implications refer to the need to promote TBIs as a means of strengthening regional innovation systems in developing economies. Social implications TBIs can be a means of nurturing tech start-ups for generating employment and income in regional economies. Originality/value This is a first of its kind study with reference to an emerging economy exploring to understand the extent of R&D contributions emerging from TBIs, which have been promoted on an increasing scale across the country as a means of nurturing technology start-ups.


2020 ◽  
Vol 29 (2) ◽  
pp. 428-444
Author(s):  
Eleonora Brivio ◽  
Erica Negro Cousa ◽  
Vahé Heboyan ◽  
Francesco Beltrame ◽  
Gianluca De Leo

Business incubators are organisations that support the growth of small companies, including start-ups, by providing various resources and services. The aims of this article were to assess the characteristics of business incubators in non-hub cities located in Georgia and South Carolina and to describe the major differences between incubators located in non-hub and hub cities. We surveyed 5 non-hub incubators and visited and analysed qualitatively 10 incubators, 5 in hub cities and 5 in non-hub cities. Results showed that incubators in non-hub cities have less focus and less access to funding capital compared with incubators in hub cities. The implementation of a mesh network among incubators in non-hub cities may help sharing resources, know-how, talents and investments with the goal of being able to compete with incubators in hub cities. While currently incubators in non-hub cities cannot offer the same services to their members, they can still play an important role in giving the people in their communities an opportunity to start a new business, find jobs and increase their income. Business incubators in non-hub cities can ultimately positively impact the overall quality of life of the population they serve. Finally, we proposed that a focus on public health innovation may help incubators in non-hub cities to be successful.


2016 ◽  
Vol 30 (4) ◽  
pp. 267-277 ◽  
Author(s):  
Natasha Bank ◽  
Wisdom Kanda

Recruitment and support processes in sustainability-profiled incubators have received little research attention. The article addresses this knowledge gap in an empirical investigation of three sustainability-oriented incubators in Sweden, Finland and Germany. The data are based on interviews with managers, stakeholders and tenants in Green Tech Park (Sweden), LADEC (Finland) and Green Garage (Germany). On average, the studied incubators had an ambition to recruit and develop sustainability-oriented start-ups, but the number of tenants must reach a critical mass if such ambitions are to become a reality. The local context influences this critical mass of start-ups and is a determining factor in generating (a) potential tenants and (b) the resources to support such firms. This suggests that incubator managers must actively seek tenants interested in sustainable entrepreneurship and that support must focus on activities in sustainability.


2021 ◽  
Vol 19 (4) ◽  
pp. 40-47
Author(s):  
Thobekani Lose ◽  
Sebenzile Khuzwayo

This study was deemed relevant in the current epoch given the need for rebuilding enterprises that were devastated by the Covid-19 pandemic. To ensure economic restoration, particular interest in small business start-ups and incubators has become especially important. In addition, measurements for effectiveness are critical since, without them, progress cannot be ascertained. The aim of this study was to assess the balanced scorecard and its applicability to business incubators in the context of the present technological explosion. Specifically, the study assessed the technological dimension of the balanced scorecard with the particular intention of establishing how technological tools affect the balanced scorecard. The study was based on phenomenological interviews to provide data that were relevant to the study objectives. A thematic analysis of the data collected supported literature perspectives that technological tools and platforms such as social media, robotics, expert systems, online as well as web platforms strengthen and improve the measurement of both financial and non-financial criteria for measurement on the balanced scorecard. Technological tools were found to improve data collection, management, and analytics thereby improving the quality and credibility of balanced scorecard measurement. The study recommends the accelerated adoption of technological tools for use within the balanced scorecard among incubators. It also recommends that the government should support incubators in their technological adoption measures as this has the potential of increasing economic development.


2020 ◽  
pp. 105065192097998
Author(s):  
Mason Pellegrini ◽  
Richard Johnson-Sheehan

University business incubators (UBIs) are uniquely positioned to foster transnational entrepreneurship and the evolution of business and technical communication practices on a worldwide basis. UBIs facilitate the launch of start-ups by professors, students, researchers, and local entrepreneurs. This study uses assemblage theory to profile four UBIs. Its findings concern their process of exporting incubation models and training transnational entrepreneurs, the roles of alumni and students, and the genres and conventions of entrepreneurship.


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