The dominant Factors affecting the performance of Technology-based Start-ups in the Korean Business Incubators

2017 ◽  
Vol 12 (1) ◽  
pp. 35-67 ◽  
Author(s):  
Chang Hwagn Bae ◽  
◽  
Byung Keun Kim ◽  
Keyword(s):  
Business Incubators ◽  
Factors Affecting ◽  
Start Ups

scholarly journals Business Sustainability of Start-Ups Based on Government Support: An Empirical Study of Korean Start-Ups

2019 ◽  
Vol 11 (18) ◽  
pp. 4851 ◽  
Author(s):  
Wooseung Lee ◽  
Boyoung Kim
Keyword(s):  
Market Orientation ◽  
Driving Force ◽  
Government Support ◽  
Flow Experience ◽  
Factors Affecting ◽  
Business Sustainability ◽  
Emerging Nations ◽  
The Government ◽  
Start Ups ◽  
New Jobs

Since the mid-2000s, start-ups have increasingly become the driving force of new jobs and growth engines for advanced countries, and emerging nations are striving to vitalize start-ups through active government support policies. However, approximately 30% of start-ups shut down within two years of their foundation. Accordingly, this study determines the factors affecting the business sustainability of start-ups as based on available government support and provides suggestions to increase the effectiveness of the government-supported projects. This study conducted a survey of 273 start-ups in Korea, and empirically analyzed whether factors such as entrepreneurship, market orientation, and network affected business sustainability by using flow experience and entrepreneurial satisfaction as mediators. The results found that entrepreneurship affected business sustainability with flow experience and entrepreneurial satisfaction as the mediators, while market orientation affected business sustainability using flow experience as the mediator, and network affected business sustainability with entrepreneurial satisfaction as the mediator.

Characteristics and Determinants of New Start-ups in Gujarat, India

2020 ◽  
Vol 1 (2) ◽  
pp. 1-25
Author(s):  
Ajay Kumar ◽  
Bhim Jyoti
Keyword(s):  
Sample Size ◽  
Regression Models ◽  
New Products ◽  
Small Sample ◽  
The Body ◽  
High Tech ◽  
Annual Sale ◽  
Factors Affecting ◽  
Start Up ◽  
Start Ups

Purpose: This study examines the relationship of socio-economic characteristics of start-ups with their size in Gujarat, India. It also assesses the determinants affecting the annual sale of start-ups. Methods: It includes primary information based on a survey of 120 founders of start-ups. Linear and semi-log linear regression models have been applied to assess the determinants of start-ups. Probit regression models have been considered to assess the factors affecting the annual sale of the start-ups. Results: Stage of start-up, the participation of founders in conferences, educational qualification, and new products launched by start-ups, professional connections of founders, source of funding, and support from incubator/accelerator/supporting organizations are found crucial determinants of start-up size in Gujarat. The annual sales of the start-ups are positively associated with stage of start-up, support from a mentor, team members, founder's academic qualification, and collaboration with national or international organizations, unskilled workers. Implications: Technology transfer and commercialization, development of new products, government regulations, the requirement of costumers, free rights for entrepreneurs, appropriate financial support for new entrepreneurs, transparency and clarity in government policies, the establishment of high-tech start-ups, and development of digital infrastructure, increase in R&D spending in research academia, and association of research institutions with entrepreneurs would be conducive to create an appropriate start-ups ecosystem and to reduce regional development disparities across Indian states. Subsequently, it would be helpful to increase sustainable development in India.  Originality: This study has used primary information of 120 founders of start-ups to assess the determinants, and the factors affecting annual sales of start-ups using the regression model in, Gujrat, India. Thus, it has an empirical contribution to the body of knowledge. Limitations: This study could not provide rational justifications on most factors that show an insignificant impact on start-ups due to the small sample size. Further research, therefore, may be considered to identify the association of start-up size with the variables using a large sample size in India.  

Technology business incubators in India: what determines their R&D contributions to the national economy?

2020 ◽  
Vol 12 (4) ◽  
pp. 385-408
Author(s):  
Bala Subrahmanya Mungila Hillemane
Keyword(s):  
National Economy ◽  
Developing Economies ◽  
Selection Process ◽  
New Products ◽  
Patent Application ◽  
Primary Data ◽  
Business Incubators ◽  
Content Type ◽  
Start Ups ◽  
Practical Implications

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.

A Synopsis of Incubators in Non-hub Cities in the Southeast United States

2020 ◽  
Vol 29 (2) ◽  
pp. 428-444
Author(s):  
Eleonora Brivio ◽  
Erica Negro Cousa ◽  
Vahé Heboyan ◽  
Francesco Beltrame ◽  
Gianluca De Leo
Keyword(s):  
South Carolina ◽  
Mesh Network ◽  
Small Companies ◽  
Business Incubators ◽  
Southeast United States ◽  
The People ◽  
New Business ◽  
Start Ups ◽  
Hub Cities

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.

Tenant recruitment and support processes in sustainability-profiled business incubators

2016 ◽  
Vol 30 (4) ◽  
pp. 267-277 ◽  
Author(s):  
Natasha Bank ◽  
Wisdom Kanda
Keyword(s):  
Empirical Investigation ◽  
Critical Mass ◽  
Local Context ◽  
Knowledge Gap ◽  
Business Incubators ◽  
Sustainable Entrepreneurship ◽  
Research Attention ◽  
Start Ups ◽  
Determining Factor

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.

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
Keyword(s):  
Innovation Performance ◽  
Business Incubators ◽  
Start Ups

Funding for start-ups in India: what shakes it?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saibal Ghosh
Keyword(s):  
Fixed Effects ◽  
Equity Financing ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Indian Context ◽  
Key Factor ◽  
Salutary Effect ◽  
Fixed Effects Regression ◽  
Start Ups

Purpose Using a novel monthly data set, this study aims to examine the factors affecting the funding of Indian start-ups. Design/methodology/approach Given the panel structure of the data, the fixed effects regression technique has been used. Findings The findings reveal that years of operation is a key factor. Amongst others, angel investors and equity financing are the key drivers of startup financing. Government policy does not appear to have gained adequate traction, although the improvement in the business reform action by state governments has begun to exert a salutary effect. Practical implications From a policy standpoint, the study provides insights into what policies and practices can be exploited to streamline the funding bottlenecks affecting startups in the Indian context. Originality/value Notwithstanding being a country with a significant presence in the startup space, there are admittedly limited studies, which examine this issue for India. Viewed from this standpoint to the best of the knowledge, the analysis is one of the early studies to shed light on the factors driving the funding of startups in the Indian context.

scholarly journals Sectoral Evaluation for Economic and Financial Development in Dubai and rest of UAE

2017 ◽  
Vol 1 (1) ◽  
pp. 1-29
Author(s):  
Sumaiyya Wahid Shaikh ◽  
Genanew B Worku ◽  
Ananth Rao
Keyword(s):  
Financial Development ◽  
United Arab Emirates ◽  
Small Sample Size ◽  
Core Competencies ◽  
Business Environment ◽  
Small Sample ◽  
Factors Affecting ◽  
Relative Contribution ◽  
Level Data ◽  
Start Ups

The paper examines sector specific characteristics to analyse the factors affecting the sustainability of the economies of Dubai and rest of the United Arab Emirates (UAE). The study applies system design to analyse the research questions. Consequently, Zellner’s seemingly unrelated regressions (SURE) technique is used to examine the relative contribution of sectors to the economies Dubai, as an individual Emirate, and the rest of UAE as a group of Emirates using time series sectoral level data for 2001–2015. The study shows that there exists positive interdependencies between Dubai and rest of UAE economies. This signifies that the core competencies across various sectors in Dubai and rest of UAE economies need to be promoted further to have overall diversified impact on UAE economy. The positive sizable impact of the finance sector in Dubai and negative sizable impact in the rest of the UAE provide many opportunities for designing diversification programs for sustained economic development of the entire UAE economy. The small sample size, non-availability of detailed sectoral data in four of the seven emirates constrained the scope of the study for generalization to other economies in the middle east.   The study findings are very crucial for identifying structural reforms, to strengthen competitiveness and accelerate private sector-led job creation for nationals, potential on further opening up foreign direct investment (FDI), improving selected areas of the business environment, and easing access to finance for start-ups and SMEs in both the economies. There are very few studies, which have researched the sector specific characteristics to explain the factors affecting the sustainability of the economies of Dubai and the rest of UAE. The study provides insights to the UAE policy makers, for enhancement of policies through development of the key sectors that influence the performance of the two economies. Despite being independent entities though, the seven emirates of the UAE are economically interdependent. Studies on such interactions add unique value to the literature. Keywords: SURE, GDP, Dubai, UAE, Sectoral Evaluation, Financial development.

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